// Auto-generated from the official Ollama registry newest listing and per-model tag tables.
// Do not edit by hand; regenerate this file from the registry snapshot.
export const REGISTRY_CATALOG_ENTRIES = [
  {
    name: 'alfred',
    tag: '40b',
    displayName: 'Alfred 40B',
    category: 'GENERAL',
    description:
      'A robust conversational model designed to be used for both chat and instruct use cases.',
    sizeBytes: BigInt('24000000000'),
    parameterCount: '40B',
    runtime: 'OLLAMA',
    ollamaName: 'alfred:40b',
    sourceUrl: 'https://registry.ollama.com/library/alfred',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'alfred',
    tag: 'latest',
    displayName: 'Alfred',
    category: 'GENERAL',
    description:
      'A robust conversational model designed to be used for both chat and instruct use cases.',
    sizeBytes: BigInt('24000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'alfred:latest',
    sourceUrl: 'https://registry.ollama.com/library/alfred',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'all-minilm',
    tag: '22m',
    displayName: 'All Minilm 22M',
    category: 'EMBEDDING',
    description: 'Embedding models on very large sentence level datasets.',
    sizeBytes: BigInt('46000000'),
    parameterCount: '22M',
    runtime: 'OLLAMA',
    ollamaName: 'all-minilm:22m',
    sourceUrl: 'https://registry.ollama.com/library/all-minilm',
    isRecommended: false,
    capabilities: ['embedding'],
  },
  {
    name: 'all-minilm',
    tag: '33m',
    displayName: 'All Minilm 33M',
    category: 'EMBEDDING',
    description: 'Embedding models on very large sentence level datasets.',
    sizeBytes: BigInt('67000000'),
    parameterCount: '33M',
    runtime: 'OLLAMA',
    ollamaName: 'all-minilm:33m',
    sourceUrl: 'https://registry.ollama.com/library/all-minilm',
    isRecommended: false,
    capabilities: ['embedding'],
  },
  {
    name: 'all-minilm',
    tag: 'latest',
    displayName: 'All Minilm',
    category: 'EMBEDDING',
    description: 'Embedding models on very large sentence level datasets.',
    sizeBytes: BigInt('46000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'all-minilm:latest',
    sourceUrl: 'https://registry.ollama.com/library/all-minilm',
    isRecommended: true,
    capabilities: ['embedding'],
  },
  {
    name: 'athene-v2',
    tag: '72b',
    displayName: 'Athene V2 72B',
    category: 'AGENT',
    description:
      'Athene-V2 is a 72B parameter model which excels at code completion, mathematics, and log extraction tasks.',
    sizeBytes: BigInt('47000000000'),
    parameterCount: '72B',
    runtime: 'OLLAMA',
    ollamaName: 'athene-v2:72b',
    sourceUrl: 'https://registry.ollama.com/library/athene-v2',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'athene-v2',
    tag: 'latest',
    displayName: 'Athene V2',
    category: 'AGENT',
    description:
      'Athene-V2 is a 72B parameter model which excels at code completion, mathematics, and log extraction tasks.',
    sizeBytes: BigInt('47000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'athene-v2:latest',
    sourceUrl: 'https://registry.ollama.com/library/athene-v2',
    isRecommended: true,
    capabilities: ['tools'],
  },
  {
    name: 'aya',
    tag: '35b',
    displayName: 'Aya 35B',
    category: 'GENERAL',
    description:
      'Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages.',
    sizeBytes: BigInt('20000000000'),
    parameterCount: '35B',
    runtime: 'OLLAMA',
    ollamaName: 'aya:35b',
    sourceUrl: 'https://registry.ollama.com/library/aya',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'aya',
    tag: '8b',
    displayName: 'Aya 8B',
    category: 'GENERAL',
    description:
      'Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages.',
    sizeBytes: BigInt('4800000000'),
    parameterCount: '8B',
    runtime: 'OLLAMA',
    ollamaName: 'aya:8b',
    sourceUrl: 'https://registry.ollama.com/library/aya',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'aya',
    tag: 'latest',
    displayName: 'Aya',
    category: 'GENERAL',
    description:
      'Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages.',
    sizeBytes: BigInt('4800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'aya:latest',
    sourceUrl: 'https://registry.ollama.com/library/aya',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'aya-expanse',
    tag: '32b',
    displayName: 'Aya Expanse 32B',
    category: 'AGENT',
    description:
      "Cohere For AI's language models trained to perform well across 23 different languages.",
    sizeBytes: BigInt('20000000000'),
    parameterCount: '32B',
    runtime: 'OLLAMA',
    ollamaName: 'aya-expanse:32b',
    sourceUrl: 'https://registry.ollama.com/library/aya-expanse',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'aya-expanse',
    tag: '8b',
    displayName: 'Aya Expanse 8B',
    category: 'AGENT',
    description:
      "Cohere For AI's language models trained to perform well across 23 different languages.",
    sizeBytes: BigInt('5100000000'),
    parameterCount: '8B',
    runtime: 'OLLAMA',
    ollamaName: 'aya-expanse:8b',
    sourceUrl: 'https://registry.ollama.com/library/aya-expanse',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'aya-expanse',
    tag: 'latest',
    displayName: 'Aya Expanse',
    category: 'AGENT',
    description:
      "Cohere For AI's language models trained to perform well across 23 different languages.",
    sizeBytes: BigInt('5100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'aya-expanse:latest',
    sourceUrl: 'https://registry.ollama.com/library/aya-expanse',
    isRecommended: true,
    capabilities: ['tools'],
  },
  {
    name: 'bakllava',
    tag: '7b',
    displayName: 'Bakllava 7B',
    category: 'VISION',
    description:
      'BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture.',
    sizeBytes: BigInt('4700000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'bakllava:7b',
    sourceUrl: 'https://registry.ollama.com/library/bakllava',
    isRecommended: false,
    capabilities: ['vision'],
  },
  {
    name: 'bakllava',
    tag: 'latest',
    displayName: 'Bakllava',
    category: 'VISION',
    description:
      'BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture.',
    sizeBytes: BigInt('4700000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'bakllava:latest',
    sourceUrl: 'https://registry.ollama.com/library/bakllava',
    isRecommended: true,
    capabilities: ['vision'],
  },
  {
    name: 'bespoke-minicheck',
    tag: '7b',
    displayName: 'Bespoke Minicheck 7B',
    category: 'CODING',
    description: 'A state-of-the-art fact-checking model developed by Bespoke Labs.',
    sizeBytes: BigInt('4700000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'bespoke-minicheck:7b',
    sourceUrl: 'https://registry.ollama.com/library/bespoke-minicheck',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'bespoke-minicheck',
    tag: 'latest',
    displayName: 'Bespoke Minicheck',
    category: 'CODING',
    description: 'A state-of-the-art fact-checking model developed by Bespoke Labs.',
    sizeBytes: BigInt('4700000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'bespoke-minicheck:latest',
    sourceUrl: 'https://registry.ollama.com/library/bespoke-minicheck',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'bge-large',
    tag: '335m',
    displayName: 'Bge Large 335M',
    category: 'EMBEDDING',
    description: 'Embedding model from BAAI mapping texts to vectors.',
    sizeBytes: BigInt('671000000'),
    parameterCount: '335M',
    runtime: 'OLLAMA',
    ollamaName: 'bge-large:335m',
    sourceUrl: 'https://registry.ollama.com/library/bge-large',
    isRecommended: false,
    capabilities: ['embedding'],
  },
  {
    name: 'bge-large',
    tag: 'latest',
    displayName: 'Bge Large',
    category: 'EMBEDDING',
    description: 'Embedding model from BAAI mapping texts to vectors.',
    sizeBytes: BigInt('671000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'bge-large:latest',
    sourceUrl: 'https://registry.ollama.com/library/bge-large',
    isRecommended: true,
    capabilities: ['embedding'],
  },
  {
    name: 'bge-m3',
    tag: '567m',
    displayName: 'Bge M3 567M',
    category: 'EMBEDDING',
    description:
      'BGE-M3 is a new model from BAAI distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.',
    sizeBytes: BigInt('1200000000'),
    parameterCount: '567M',
    runtime: 'OLLAMA',
    ollamaName: 'bge-m3:567m',
    sourceUrl: 'https://registry.ollama.com/library/bge-m3',
    isRecommended: false,
    capabilities: ['embedding'],
  },
  {
    name: 'bge-m3',
    tag: 'latest',
    displayName: 'Bge M3',
    category: 'EMBEDDING',
    description:
      'BGE-M3 is a new model from BAAI distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.',
    sizeBytes: BigInt('1200000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'bge-m3:latest',
    sourceUrl: 'https://registry.ollama.com/library/bge-m3',
    isRecommended: true,
    capabilities: ['embedding'],
  },
  {
    name: 'codebooga',
    tag: '34b',
    displayName: 'Codebooga 34B',
    category: 'CODING',
    description:
      'A high-performing code instruct model created by merging two existing code models.',
    sizeBytes: BigInt('19000000000'),
    parameterCount: '34B',
    runtime: 'OLLAMA',
    ollamaName: 'codebooga:34b',
    sourceUrl: 'https://registry.ollama.com/library/codebooga',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codebooga',
    tag: 'latest',
    displayName: 'Codebooga',
    category: 'CODING',
    description:
      'A high-performing code instruct model created by merging two existing code models.',
    sizeBytes: BigInt('19000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'codebooga:latest',
    sourceUrl: 'https://registry.ollama.com/library/codebooga',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'codegeex4',
    tag: '9b',
    displayName: 'Codegeex4 9B',
    category: 'CODING',
    description:
      'A versatile model for AI software development scenarios, including code completion.',
    sizeBytes: BigInt('5500000000'),
    parameterCount: '9B',
    runtime: 'OLLAMA',
    ollamaName: 'codegeex4:9b',
    sourceUrl: 'https://registry.ollama.com/library/codegeex4',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codegeex4',
    tag: 'latest',
    displayName: 'Codegeex4',
    category: 'CODING',
    description:
      'A versatile model for AI software development scenarios, including code completion.',
    sizeBytes: BigInt('5500000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'codegeex4:latest',
    sourceUrl: 'https://registry.ollama.com/library/codegeex4',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'codegemma',
    tag: '2b',
    displayName: 'Codegemma 2B',
    category: 'REASONING',
    description:
      'CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.',
    sizeBytes: BigInt('1600000000'),
    parameterCount: '2B',
    runtime: 'OLLAMA',
    ollamaName: 'codegemma:2b',
    sourceUrl: 'https://registry.ollama.com/library/codegemma',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codegemma',
    tag: '7b',
    displayName: 'Codegemma 7B',
    category: 'REASONING',
    description:
      'CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.',
    sizeBytes: BigInt('5000000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'codegemma:7b',
    sourceUrl: 'https://registry.ollama.com/library/codegemma',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codegemma',
    tag: 'instruct',
    displayName: 'Codegemma INSTRUCT',
    category: 'REASONING',
    description:
      'CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.',
    sizeBytes: BigInt('5000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'codegemma:instruct',
    sourceUrl: 'https://registry.ollama.com/library/codegemma',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codegemma',
    tag: 'latest',
    displayName: 'Codegemma',
    category: 'REASONING',
    description:
      'CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.',
    sizeBytes: BigInt('5000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'codegemma:latest',
    sourceUrl: 'https://registry.ollama.com/library/codegemma',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'codellama',
    tag: '13b',
    displayName: 'Codellama 13B',
    category: 'CODING',
    description: 'A large language model that can use text prompts to generate and discuss code.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: '13B',
    runtime: 'OLLAMA',
    ollamaName: 'codellama:13b',
    sourceUrl: 'https://registry.ollama.com/library/codellama',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codellama',
    tag: '34b',
    displayName: 'Codellama 34B',
    category: 'CODING',
    description: 'A large language model that can use text prompts to generate and discuss code.',
    sizeBytes: BigInt('19000000000'),
    parameterCount: '34B',
    runtime: 'OLLAMA',
    ollamaName: 'codellama:34b',
    sourceUrl: 'https://registry.ollama.com/library/codellama',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codellama',
    tag: '70b',
    displayName: 'Codellama 70B',
    category: 'CODING',
    description: 'A large language model that can use text prompts to generate and discuss code.',
    sizeBytes: BigInt('39000000000'),
    parameterCount: '70B',
    runtime: 'OLLAMA',
    ollamaName: 'codellama:70b',
    sourceUrl: 'https://registry.ollama.com/library/codellama',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codellama',
    tag: '7b',
    displayName: 'Codellama 7B',
    category: 'CODING',
    description: 'A large language model that can use text prompts to generate and discuss code.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'codellama:7b',
    sourceUrl: 'https://registry.ollama.com/library/codellama',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codellama',
    tag: 'instruct',
    displayName: 'Codellama INSTRUCT',
    category: 'CODING',
    description: 'A large language model that can use text prompts to generate and discuss code.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'codellama:instruct',
    sourceUrl: 'https://registry.ollama.com/library/codellama',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codellama',
    tag: 'latest',
    displayName: 'Codellama',
    category: 'CODING',
    description: 'A large language model that can use text prompts to generate and discuss code.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'codellama:latest',
    sourceUrl: 'https://registry.ollama.com/library/codellama',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'codeqwen',
    tag: '7b',
    displayName: 'Codeqwen 7B',
    category: 'CODING',
    description: 'CodeQwen1.5 is a large language model pretrained on a large amount of code data.',
    sizeBytes: BigInt('4200000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'codeqwen:7b',
    sourceUrl: 'https://registry.ollama.com/library/codeqwen',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codeqwen',
    tag: 'chat',
    displayName: 'Codeqwen CHAT',
    category: 'CODING',
    description: 'CodeQwen1.5 is a large language model pretrained on a large amount of code data.',
    sizeBytes: BigInt('4200000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'codeqwen:chat',
    sourceUrl: 'https://registry.ollama.com/library/codeqwen',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codeqwen',
    tag: 'latest',
    displayName: 'Codeqwen',
    category: 'CODING',
    description: 'CodeQwen1.5 is a large language model pretrained on a large amount of code data.',
    sizeBytes: BigInt('4200000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'codeqwen:latest',
    sourceUrl: 'https://registry.ollama.com/library/codeqwen',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'codestral',
    tag: '22b',
    displayName: 'Codestral 22B',
    category: 'CODING',
    description:
      'Codestral is Mistral AI’s first-ever code model designed for code generation tasks.',
    sizeBytes: BigInt('13000000000'),
    parameterCount: '22B',
    runtime: 'OLLAMA',
    ollamaName: 'codestral:22b',
    sourceUrl: 'https://registry.ollama.com/library/codestral',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codestral',
    tag: 'latest',
    displayName: 'Codestral',
    category: 'CODING',
    description:
      'Codestral is Mistral AI’s first-ever code model designed for code generation tasks.',
    sizeBytes: BigInt('13000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'codestral:latest',
    sourceUrl: 'https://registry.ollama.com/library/codestral',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'codeup',
    tag: '13b',
    displayName: 'Codeup 13B',
    category: 'CODING',
    description: 'Great code generation model based on Llama2.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: '13B',
    runtime: 'OLLAMA',
    ollamaName: 'codeup:13b',
    sourceUrl: 'https://registry.ollama.com/library/codeup',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'codeup',
    tag: 'latest',
    displayName: 'Codeup',
    category: 'CODING',
    description: 'Great code generation model based on Llama2.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'codeup:latest',
    sourceUrl: 'https://registry.ollama.com/library/codeup',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'cogito',
    tag: '14b',
    displayName: 'Cogito 14B',
    category: 'AGENT',
    description:
      'Cogito v1 Preview is a family of hybrid reasoning models by Deep Cogito that outperform the best available open models of the same size, including counterparts from LLaMA, DeepSeek, and Qwen across most standard benchmarks.',
    sizeBytes: BigInt('9000000000'),
    parameterCount: '14B',
    runtime: 'OLLAMA',
    ollamaName: 'cogito:14b',
    sourceUrl: 'https://registry.ollama.com/library/cogito',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'cogito',
    tag: '32b',
    displayName: 'Cogito 32B',
    category: 'AGENT',
    description:
      'Cogito v1 Preview is a family of hybrid reasoning models by Deep Cogito that outperform the best available open models of the same size, including counterparts from LLaMA, DeepSeek, and Qwen across most standard benchmarks.',
    sizeBytes: BigInt('20000000000'),
    parameterCount: '32B',
    runtime: 'OLLAMA',
    ollamaName: 'cogito:32b',
    sourceUrl: 'https://registry.ollama.com/library/cogito',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'cogito',
    tag: '3b',
    displayName: 'Cogito 3B',
    category: 'AGENT',
    description:
      'Cogito v1 Preview is a family of hybrid reasoning models by Deep Cogito that outperform the best available open models of the same size, including counterparts from LLaMA, DeepSeek, and Qwen across most standard benchmarks.',
    sizeBytes: BigInt('2200000000'),
    parameterCount: '3B',
    runtime: 'OLLAMA',
    ollamaName: 'cogito:3b',
    sourceUrl: 'https://registry.ollama.com/library/cogito',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'cogito',
    tag: '70b',
    displayName: 'Cogito 70B',
    category: 'AGENT',
    description:
      'Cogito v1 Preview is a family of hybrid reasoning models by Deep Cogito that outperform the best available open models of the same size, including counterparts from LLaMA, DeepSeek, and Qwen across most standard benchmarks.',
    sizeBytes: BigInt('43000000000'),
    parameterCount: '70B',
    runtime: 'OLLAMA',
    ollamaName: 'cogito:70b',
    sourceUrl: 'https://registry.ollama.com/library/cogito',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'cogito',
    tag: '8b',
    displayName: 'Cogito 8B',
    category: 'AGENT',
    description:
      'Cogito v1 Preview is a family of hybrid reasoning models by Deep Cogito that outperform the best available open models of the same size, including counterparts from LLaMA, DeepSeek, and Qwen across most standard benchmarks.',
    sizeBytes: BigInt('4900000000'),
    parameterCount: '8B',
    runtime: 'OLLAMA',
    ollamaName: 'cogito:8b',
    sourceUrl: 'https://registry.ollama.com/library/cogito',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'cogito',
    tag: 'latest',
    displayName: 'Cogito',
    category: 'AGENT',
    description:
      'Cogito v1 Preview is a family of hybrid reasoning models by Deep Cogito that outperform the best available open models of the same size, including counterparts from LLaMA, DeepSeek, and Qwen across most standard benchmarks.',
    sizeBytes: BigInt('4900000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'cogito:latest',
    sourceUrl: 'https://registry.ollama.com/library/cogito',
    isRecommended: true,
    capabilities: ['tools'],
  },
  {
    name: 'cogito-2.1',
    tag: '671b',
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    ollamaName: 'deepseek-v2.5:latest',
    sourceUrl: 'https://registry.ollama.com/library/deepseek-v2.5',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'deepseek-v3',
    tag: '671b',
    displayName: 'Deepseek V3 671B',
    category: 'GENERAL',
    description:
      'A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.',
    sizeBytes: BigInt('404000000000'),
    parameterCount: '671B',
    runtime: 'OLLAMA',
    ollamaName: 'deepseek-v3:671b',
    sourceUrl: 'https://registry.ollama.com/library/deepseek-v3',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'deepseek-v3',
    tag: 'latest',
    displayName: 'Deepseek V3',
    category: 'GENERAL',
    description:
      'A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.',
    sizeBytes: BigInt('404000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'deepseek-v3:latest',
    sourceUrl: 'https://registry.ollama.com/library/deepseek-v3',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'deepseek-v3.1',
    tag: '671b',
    displayName: 'Deepseek V3.1 671B',
    category: 'AGENT',
    description:
      'DeepSeek-V3.1-Terminus is a hybrid model that supports both thinking mode and non-thinking mode.',
    sizeBytes: null,
    parameterCount: '671B',
    runtime: 'OLLAMA',
    ollamaName: 'deepseek-v3.1:671b',
    sourceUrl: 'https://registry.ollama.com/library/deepseek-v3.1',
    isRecommended: false,
    capabilities: ['tools', 'thinking'],
  },
  {
    name: 'deepseek-v3.1',
    tag: 'latest',
    displayName: 'Deepseek V3.1',
    category: 'AGENT',
    description:
      'DeepSeek-V3.1-Terminus is a hybrid model that supports both thinking mode and non-thinking mode.',
    sizeBytes: null,
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'deepseek-v3.1:latest',
    sourceUrl: 'https://registry.ollama.com/library/deepseek-v3.1',
    isRecommended: true,
    capabilities: ['tools', 'thinking'],
  },
  {
    name: 'devstral',
    tag: '24b',
    displayName: 'Devstral 24B',
    category: 'AGENT',
    description: 'Devstral: the best open source model for coding agents',
    sizeBytes: BigInt('14000000000'),
    parameterCount: '24B',
    runtime: 'OLLAMA',
    ollamaName: 'devstral:24b',
    sourceUrl: 'https://registry.ollama.com/library/devstral',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'devstral',
    tag: 'latest',
    displayName: 'Devstral',
    category: 'AGENT',
    description: 'Devstral: the best open source model for coding agents',
    sizeBytes: BigInt('14000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'devstral:latest',
    sourceUrl: 'https://registry.ollama.com/library/devstral',
    isRecommended: true,
    capabilities: ['tools'],
  },
  {
    name: 'devstral-2',
    tag: '123b',
    displayName: 'Devstral 2 123B',
    category: 'AGENT',
    description:
      '123B model that excels at using tools to explore codebases, editing multiple files and power software engineering agents.',
    sizeBytes: BigInt('75000000000'),
    parameterCount: '123B',
    runtime: 'OLLAMA',
    ollamaName: 'devstral-2:123b',
    sourceUrl: 'https://registry.ollama.com/library/devstral-2',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'devstral-2',
    tag: 'latest',
    displayName: 'Devstral 2',
    category: 'AGENT',
    description:
      '123B model that excels at using tools to explore codebases, editing multiple files and power software engineering agents.',
    sizeBytes: BigInt('75000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'devstral-2:latest',
    sourceUrl: 'https://registry.ollama.com/library/devstral-2',
    isRecommended: true,
    capabilities: ['tools'],
  },
  {
    name: 'devstral-small-2',
    tag: '24b',
    displayName: 'Devstral Small 2 24B',
    category: 'VISION',
    description:
      '24B model that excels at using tools to explore codebases, editing multiple files and power software engineering agents.',
    sizeBytes: BigInt('15000000000'),
    parameterCount: '24B',
    runtime: 'OLLAMA',
    ollamaName: 'devstral-small-2:24b',
    sourceUrl: 'https://registry.ollama.com/library/devstral-small-2',
    isRecommended: false,
    capabilities: ['vision', 'tools'],
  },
  {
    name: 'devstral-small-2',
    tag: 'latest',
    displayName: 'Devstral Small 2',
    category: 'VISION',
    description:
      '24B model that excels at using tools to explore codebases, editing multiple files and power software engineering agents.',
    sizeBytes: BigInt('15000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'devstral-small-2:latest',
    sourceUrl: 'https://registry.ollama.com/library/devstral-small-2',
    isRecommended: true,
    capabilities: ['vision', 'tools'],
  },
  {
    name: 'dolphin-llama3',
    tag: '70b',
    displayName: 'Dolphin Llama3 70B',
    category: 'CODING',
    description:
      'Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills.',
    sizeBytes: BigInt('40000000000'),
    parameterCount: '70B',
    runtime: 'OLLAMA',
    ollamaName: 'dolphin-llama3:70b',
    sourceUrl: 'https://registry.ollama.com/library/dolphin-llama3',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'dolphin-llama3',
    tag: '8b',
    displayName: 'Dolphin Llama3 8B',
    category: 'CODING',
    description:
      'Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills.',
    sizeBytes: BigInt('4700000000'),
    parameterCount: '8B',
    runtime: 'OLLAMA',
    ollamaName: 'dolphin-llama3:8b',
    sourceUrl: 'https://registry.ollama.com/library/dolphin-llama3',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'dolphin-llama3',
    tag: 'latest',
    displayName: 'Dolphin Llama3',
    category: 'CODING',
    description:
      'Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills.',
    sizeBytes: BigInt('4700000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'dolphin-llama3:latest',
    sourceUrl: 'https://registry.ollama.com/library/dolphin-llama3',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'dolphin-mistral',
    tag: '7b',
    displayName: 'Dolphin Mistral 7B',
    category: 'CODING',
    description:
      'The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'dolphin-mistral:7b',
    sourceUrl: 'https://registry.ollama.com/library/dolphin-mistral',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'dolphin-mistral',
    tag: 'latest',
    displayName: 'Dolphin Mistral',
    category: 'CODING',
    description:
      'The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'dolphin-mistral:latest',
    sourceUrl: 'https://registry.ollama.com/library/dolphin-mistral',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'dolphin-mixtral',
    tag: 'latest',
    displayName: 'Dolphin Mixtral',
    category: 'CODING',
    description:
      'Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of experts models that excels at coding tasks. Created by Eric Hartford.',
    sizeBytes: BigInt('26000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'dolphin-mixtral:latest',
    sourceUrl: 'https://registry.ollama.com/library/dolphin-mixtral',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'dolphin-phi',
    tag: '2.7b',
    displayName: 'Dolphin Phi 2.7B',
    category: 'GENERAL',
    description:
      '2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research.',
    sizeBytes: null,
    parameterCount: '2.7B',
    runtime: 'OLLAMA',
    ollamaName: 'dolphin-phi:2.7b',
    sourceUrl: 'https://registry.ollama.com/library/dolphin-phi',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'dolphin-phi',
    tag: 'latest',
    displayName: 'Dolphin Phi',
    category: 'GENERAL',
    description:
      '2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research.',
    sizeBytes: BigInt('1600000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'dolphin-phi:latest',
    sourceUrl: 'https://registry.ollama.com/library/dolphin-phi',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'dolphin3',
    tag: '8b',
    displayName: 'Dolphin3 8B',
    category: 'AGENT',
    description:
      'Dolphin 3.0 Llama 3.1 8B 🐬 is the next generation of the Dolphin series of instruct-tuned models designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.',
    sizeBytes: BigInt('4900000000'),
    parameterCount: '8B',
    runtime: 'OLLAMA',
    ollamaName: 'dolphin3:8b',
    sourceUrl: 'https://registry.ollama.com/library/dolphin3',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'dolphin3',
    tag: 'latest',
    displayName: 'Dolphin3',
    category: 'AGENT',
    description:
      'Dolphin 3.0 Llama 3.1 8B 🐬 is the next generation of the Dolphin series of instruct-tuned models designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.',
    sizeBytes: BigInt('4900000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'dolphin3:latest',
    sourceUrl: 'https://registry.ollama.com/library/dolphin3',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'dolphincoder',
    tag: '15b',
    displayName: 'Dolphincoder 15B',
    category: 'CODING',
    description:
      'A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2.',
    sizeBytes: BigInt('9100000000'),
    parameterCount: '15B',
    runtime: 'OLLAMA',
    ollamaName: 'dolphincoder:15b',
    sourceUrl: 'https://registry.ollama.com/library/dolphincoder',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'dolphincoder',
    tag: '7b',
    displayName: 'Dolphincoder 7B',
    category: 'CODING',
    description:
      'A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2.',
    sizeBytes: BigInt('4200000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'dolphincoder:7b',
    sourceUrl: 'https://registry.ollama.com/library/dolphincoder',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'dolphincoder',
    tag: 'latest',
    displayName: 'Dolphincoder',
    category: 'CODING',
    description:
      'A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2.',
    sizeBytes: BigInt('4200000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'dolphincoder:latest',
    sourceUrl: 'https://registry.ollama.com/library/dolphincoder',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'duckdb-nsql',
    tag: '7b',
    displayName: 'Duckdb Nsql 7B',
    category: 'GENERAL',
    description: '7B parameter text-to-SQL model made by MotherDuck and Numbers Station.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'duckdb-nsql:7b',
    sourceUrl: 'https://registry.ollama.com/library/duckdb-nsql',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'duckdb-nsql',
    tag: 'latest',
    displayName: 'Duckdb Nsql',
    category: 'GENERAL',
    description: '7B parameter text-to-SQL model made by MotherDuck and Numbers Station.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'duckdb-nsql:latest',
    sourceUrl: 'https://registry.ollama.com/library/duckdb-nsql',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'embeddinggemma',
    tag: '300m',
    displayName: 'Embeddinggemma 300M',
    category: 'EMBEDDING',
    description: 'EmbeddingGemma is a 300M parameter embedding model from Google.',
    sizeBytes: BigInt('622000000'),
    parameterCount: '300M',
    runtime: 'OLLAMA',
    ollamaName: 'embeddinggemma:300m',
    sourceUrl: 'https://registry.ollama.com/library/embeddinggemma',
    isRecommended: false,
    capabilities: ['embedding'],
  },
  {
    name: 'embeddinggemma',
    tag: 'latest',
    displayName: 'Embeddinggemma',
    category: 'EMBEDDING',
    description: 'EmbeddingGemma is a 300M parameter embedding model from Google.',
    sizeBytes: BigInt('622000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'embeddinggemma:latest',
    sourceUrl: 'https://registry.ollama.com/library/embeddinggemma',
    isRecommended: true,
    capabilities: ['embedding'],
  },
  {
    name: 'everythinglm',
    tag: '13b',
    displayName: 'Everythinglm 13B',
    category: 'GENERAL',
    description: 'Uncensored Llama2 based model with support for a 16K context window.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: '13B',
    runtime: 'OLLAMA',
    ollamaName: 'everythinglm:13b',
    sourceUrl: 'https://registry.ollama.com/library/everythinglm',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'everythinglm',
    tag: 'latest',
    displayName: 'Everythinglm',
    category: 'GENERAL',
    description: 'Uncensored Llama2 based model with support for a 16K context window.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'everythinglm:latest',
    sourceUrl: 'https://registry.ollama.com/library/everythinglm',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'exaone-deep',
    tag: '2.4b',
    displayName: 'Exaone Deep 2.4B',
    category: 'REASONING',
    description:
      'EXAONE Deep exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters developed and released by LG AI Research.',
    sizeBytes: null,
    parameterCount: '2.4B',
    runtime: 'OLLAMA',
    ollamaName: 'exaone-deep:2.4b',
    sourceUrl: 'https://registry.ollama.com/library/exaone-deep',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'exaone-deep',
    tag: '32b',
    displayName: 'Exaone Deep 32B',
    category: 'REASONING',
    description:
      'EXAONE Deep exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters developed and released by LG AI Research.',
    sizeBytes: BigInt('19000000000'),
    parameterCount: '32B',
    runtime: 'OLLAMA',
    ollamaName: 'exaone-deep:32b',
    sourceUrl: 'https://registry.ollama.com/library/exaone-deep',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'exaone-deep',
    tag: '7.8b',
    displayName: 'Exaone Deep 7.8B',
    category: 'REASONING',
    description:
      'EXAONE Deep exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters developed and released by LG AI Research.',
    sizeBytes: null,
    parameterCount: '7.8B',
    runtime: 'OLLAMA',
    ollamaName: 'exaone-deep:7.8b',
    sourceUrl: 'https://registry.ollama.com/library/exaone-deep',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'exaone-deep',
    tag: 'latest',
    displayName: 'Exaone Deep',
    category: 'REASONING',
    description:
      'EXAONE Deep exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters developed and released by LG AI Research.',
    sizeBytes: BigInt('4800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'exaone-deep:latest',
    sourceUrl: 'https://registry.ollama.com/library/exaone-deep',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'exaone3.5',
    tag: '2.4b',
    displayName: 'Exaone3.5 2.4B',
    category: 'CODING',
    description:
      'EXAONE 3.5 is a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and released by LG AI Research.',
    sizeBytes: null,
    parameterCount: '2.4B',
    runtime: 'OLLAMA',
    ollamaName: 'exaone3.5:2.4b',
    sourceUrl: 'https://registry.ollama.com/library/exaone3.5',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'exaone3.5',
    tag: '32b',
    displayName: 'Exaone3.5 32B',
    category: 'CODING',
    description:
      'EXAONE 3.5 is a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and released by LG AI Research.',
    sizeBytes: null,
    parameterCount: '32B',
    runtime: 'OLLAMA',
    ollamaName: 'exaone3.5:32b',
    sourceUrl: 'https://registry.ollama.com/library/exaone3.5',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'exaone3.5',
    tag: '7.8b',
    displayName: 'Exaone3.5 7.8B',
    category: 'CODING',
    description:
      'EXAONE 3.5 is a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and released by LG AI Research.',
    sizeBytes: null,
    parameterCount: '7.8B',
    runtime: 'OLLAMA',
    ollamaName: 'exaone3.5:7.8b',
    sourceUrl: 'https://registry.ollama.com/library/exaone3.5',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'exaone3.5',
    tag: 'latest',
    displayName: 'Exaone3.5',
    category: 'CODING',
    description:
      'EXAONE 3.5 is a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and released by LG AI Research.',
    sizeBytes: null,
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'exaone3.5:latest',
    sourceUrl: 'https://registry.ollama.com/library/exaone3.5',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'falcon',
    tag: '180b',
    displayName: 'Falcon 180B',
    category: 'SUMMARIZATION',
    description:
      'A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots.',
    sizeBytes: BigInt('101000000000'),
    parameterCount: '180B',
    runtime: 'OLLAMA',
    ollamaName: 'falcon:180b',
    sourceUrl: 'https://registry.ollama.com/library/falcon',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'falcon',
    tag: '40b',
    displayName: 'Falcon 40B',
    category: 'SUMMARIZATION',
    description:
      'A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots.',
    sizeBytes: BigInt('24000000000'),
    parameterCount: '40B',
    runtime: 'OLLAMA',
    ollamaName: 'falcon:40b',
    sourceUrl: 'https://registry.ollama.com/library/falcon',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'falcon',
    tag: '7b',
    displayName: 'Falcon 7B',
    category: 'SUMMARIZATION',
    description:
      'A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots.',
    sizeBytes: BigInt('4200000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'falcon:7b',
    sourceUrl: 'https://registry.ollama.com/library/falcon',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'falcon',
    tag: 'instruct',
    displayName: 'Falcon INSTRUCT',
    category: 'SUMMARIZATION',
    description:
      'A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots.',
    sizeBytes: BigInt('4200000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'falcon:instruct',
    sourceUrl: 'https://registry.ollama.com/library/falcon',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'falcon',
    tag: 'latest',
    displayName: 'Falcon',
    category: 'SUMMARIZATION',
    description:
      'A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots.',
    sizeBytes: BigInt('4200000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'falcon:latest',
    sourceUrl: 'https://registry.ollama.com/library/falcon',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'falcon2',
    tag: '11b',
    displayName: 'Falcon2 11B',
    category: 'CODING',
    description:
      'Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens.',
    sizeBytes: BigInt('6400000000'),
    parameterCount: '11B',
    runtime: 'OLLAMA',
    ollamaName: 'falcon2:11b',
    sourceUrl: 'https://registry.ollama.com/library/falcon2',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'falcon2',
    tag: 'latest',
    displayName: 'Falcon2',
    category: 'CODING',
    description:
      'Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens.',
    sizeBytes: BigInt('6400000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'falcon2:latest',
    sourceUrl: 'https://registry.ollama.com/library/falcon2',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'falcon3',
    tag: '10b',
    displayName: 'Falcon3 10B',
    category: 'CODING',
    description:
      'A family of efficient AI models under 10B parameters performant in science, math, and coding through innovative training techniques.',
    sizeBytes: BigInt('6300000000'),
    parameterCount: '10B',
    runtime: 'OLLAMA',
    ollamaName: 'falcon3:10b',
    sourceUrl: 'https://registry.ollama.com/library/falcon3',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'falcon3',
    tag: '1b',
    displayName: 'Falcon3 1B',
    category: 'CODING',
    description:
      'A family of efficient AI models under 10B parameters performant in science, math, and coding through innovative training techniques.',
    sizeBytes: BigInt('1800000000'),
    parameterCount: '1B',
    runtime: 'OLLAMA',
    ollamaName: 'falcon3:1b',
    sourceUrl: 'https://registry.ollama.com/library/falcon3',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'falcon3',
    tag: '3b',
    displayName: 'Falcon3 3B',
    category: 'CODING',
    description:
      'A family of efficient AI models under 10B parameters performant in science, math, and coding through innovative training techniques.',
    sizeBytes: BigInt('2000000000'),
    parameterCount: '3B',
    runtime: 'OLLAMA',
    ollamaName: 'falcon3:3b',
    sourceUrl: 'https://registry.ollama.com/library/falcon3',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'falcon3',
    tag: '7b',
    displayName: 'Falcon3 7B',
    category: 'CODING',
    description:
      'A family of efficient AI models under 10B parameters performant in science, math, and coding through innovative training techniques.',
    sizeBytes: BigInt('4600000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'falcon3:7b',
    sourceUrl: 'https://registry.ollama.com/library/falcon3',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'falcon3',
    tag: 'latest',
    displayName: 'Falcon3',
    category: 'CODING',
    description:
      'A family of efficient AI models under 10B parameters performant in science, math, and coding through innovative training techniques.',
    sizeBytes: BigInt('4600000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'falcon3:latest',
    sourceUrl: 'https://registry.ollama.com/library/falcon3',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'firefunction-v2',
    tag: '70b',
    displayName: 'Firefunction V2 70B',
    category: 'AGENT',
    description:
      'An open weights function calling model based on Llama 3, competitive with GPT-4o function calling capabilities.',
    sizeBytes: BigInt('40000000000'),
    parameterCount: '70B',
    runtime: 'OLLAMA',
    ollamaName: 'firefunction-v2:70b',
    sourceUrl: 'https://registry.ollama.com/library/firefunction-v2',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'firefunction-v2',
    tag: 'latest',
    displayName: 'Firefunction V2',
    category: 'AGENT',
    description:
      'An open weights function calling model based on Llama 3, competitive with GPT-4o function calling capabilities.',
    sizeBytes: BigInt('40000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'firefunction-v2:latest',
    sourceUrl: 'https://registry.ollama.com/library/firefunction-v2',
    isRecommended: true,
    capabilities: ['tools'],
  },
  {
    name: 'functiongemma',
    tag: '270m',
    displayName: 'Functiongemma 270M',
    category: 'AGENT',
    description:
      "FunctionGemma is a specialized version of Google's Gemma 3 270M model fine-tuned explicitly for function calling.",
    sizeBytes: BigInt('301000000'),
    parameterCount: '270M',
    runtime: 'OLLAMA',
    ollamaName: 'functiongemma:270m',
    sourceUrl: 'https://registry.ollama.com/library/functiongemma',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'functiongemma',
    tag: 'latest',
    displayName: 'Functiongemma',
    category: 'AGENT',
    description:
      "FunctionGemma is a specialized version of Google's Gemma 3 270M model fine-tuned explicitly for function calling.",
    sizeBytes: BigInt('301000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'functiongemma:latest',
    sourceUrl: 'https://registry.ollama.com/library/functiongemma',
    isRecommended: true,
    capabilities: ['tools'],
  },
  {
    name: 'gemini-3-flash-preview',
    tag: 'latest',
    displayName: 'Gemini 3 Flash Preview',
    category: 'VISION',
    description:
      'Gemini 3 Flash offers frontier intelligence built for speed at a fraction of the cost.',
    sizeBytes: null,
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'gemini-3-flash-preview:latest',
    sourceUrl: 'https://registry.ollama.com/library/gemini-3-flash-preview',
    isRecommended: true,
    capabilities: ['vision', 'tools', 'thinking'],
  },
  {
    name: 'gemma',
    tag: '2b',
    displayName: 'Gemma 2B',
    category: 'GENERAL',
    description:
      'Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1',
    sizeBytes: BigInt('1700000000'),
    parameterCount: '2B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma:2b',
    sourceUrl: 'https://registry.ollama.com/library/gemma',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'gemma',
    tag: '7b',
    displayName: 'Gemma 7B',
    category: 'GENERAL',
    description:
      'Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1',
    sizeBytes: BigInt('5000000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma:7b',
    sourceUrl: 'https://registry.ollama.com/library/gemma',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'gemma',
    tag: 'instruct',
    displayName: 'Gemma INSTRUCT',
    category: 'GENERAL',
    description:
      'Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1',
    sizeBytes: BigInt('5000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'gemma:instruct',
    sourceUrl: 'https://registry.ollama.com/library/gemma',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'gemma',
    tag: 'latest',
    displayName: 'Gemma',
    category: 'GENERAL',
    description:
      'Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1',
    sizeBytes: BigInt('5000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'gemma:latest',
    sourceUrl: 'https://registry.ollama.com/library/gemma',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'gemma2',
    tag: '27b',
    displayName: 'Gemma2 27B',
    category: 'GENERAL',
    description:
      'Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B.',
    sizeBytes: BigInt('16000000000'),
    parameterCount: '27B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma2:27b',
    sourceUrl: 'https://registry.ollama.com/library/gemma2',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'gemma2',
    tag: '2b',
    displayName: 'Gemma2 2B',
    category: 'GENERAL',
    description:
      'Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B.',
    sizeBytes: BigInt('1600000000'),
    parameterCount: '2B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma2:2b',
    sourceUrl: 'https://registry.ollama.com/library/gemma2',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'gemma2',
    tag: '9b',
    displayName: 'Gemma2 9B',
    category: 'GENERAL',
    description:
      'Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B.',
    sizeBytes: BigInt('5400000000'),
    parameterCount: '9B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma2:9b',
    sourceUrl: 'https://registry.ollama.com/library/gemma2',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'gemma2',
    tag: 'latest',
    displayName: 'Gemma2',
    category: 'GENERAL',
    description:
      'Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B.',
    sizeBytes: BigInt('5400000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'gemma2:latest',
    sourceUrl: 'https://registry.ollama.com/library/gemma2',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'gemma3',
    tag: '12b',
    displayName: 'Gemma3 12B',
    category: 'VISION',
    description: 'The current, most capable model that runs on a single GPU.',
    sizeBytes: BigInt('8100000000'),
    parameterCount: '12B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma3:12b',
    sourceUrl: 'https://registry.ollama.com/library/gemma3',
    isRecommended: false,
    capabilities: ['vision'],
  },
  {
    name: 'gemma3',
    tag: '1b',
    displayName: 'Gemma3 1B',
    category: 'VISION',
    description: 'The current, most capable model that runs on a single GPU.',
    sizeBytes: BigInt('815000000'),
    parameterCount: '1B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma3:1b',
    sourceUrl: 'https://registry.ollama.com/library/gemma3',
    isRecommended: false,
    capabilities: ['vision'],
  },
  {
    name: 'gemma3',
    tag: '270m',
    displayName: 'Gemma3 270M',
    category: 'VISION',
    description: 'The current, most capable model that runs on a single GPU.',
    sizeBytes: BigInt('292000000'),
    parameterCount: '270M',
    runtime: 'OLLAMA',
    ollamaName: 'gemma3:270m',
    sourceUrl: 'https://registry.ollama.com/library/gemma3',
    isRecommended: false,
    capabilities: ['vision'],
  },
  {
    name: 'gemma3',
    tag: '27b',
    displayName: 'Gemma3 27B',
    category: 'VISION',
    description: 'The current, most capable model that runs on a single GPU.',
    sizeBytes: BigInt('17000000000'),
    parameterCount: '27B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma3:27b',
    sourceUrl: 'https://registry.ollama.com/library/gemma3',
    isRecommended: false,
    capabilities: ['vision'],
  },
  {
    name: 'gemma3',
    tag: '4b',
    displayName: 'Gemma3 4B',
    category: 'VISION',
    description: 'The current, most capable model that runs on a single GPU.',
    sizeBytes: BigInt('3300000000'),
    parameterCount: '4B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma3:4b',
    sourceUrl: 'https://registry.ollama.com/library/gemma3',
    isRecommended: false,
    capabilities: ['vision'],
  },
  {
    name: 'gemma3',
    tag: 'latest',
    displayName: 'Gemma3',
    category: 'VISION',
    description: 'The current, most capable model that runs on a single GPU.',
    sizeBytes: BigInt('3300000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'gemma3:latest',
    sourceUrl: 'https://registry.ollama.com/library/gemma3',
    isRecommended: true,
    capabilities: ['vision'],
  },
  {
    name: 'gemma3n',
    tag: 'e2b',
    displayName: 'Gemma3n E2B',
    category: 'CODING',
    description:
      'Gemma 3n models are designed for efficient execution on everyday devices such as laptops, tablets or phones.',
    sizeBytes: BigInt('5600000000'),
    parameterCount: '2B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma3n:e2b',
    sourceUrl: 'https://registry.ollama.com/library/gemma3n',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'gemma3n',
    tag: 'e4b',
    displayName: 'Gemma3n E4B',
    category: 'CODING',
    description:
      'Gemma 3n models are designed for efficient execution on everyday devices such as laptops, tablets or phones.',
    sizeBytes: BigInt('7500000000'),
    parameterCount: '4B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma3n:e4b',
    sourceUrl: 'https://registry.ollama.com/library/gemma3n',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'gemma3n',
    tag: 'latest',
    displayName: 'Gemma3n',
    category: 'CODING',
    description:
      'Gemma 3n models are designed for efficient execution on everyday devices such as laptops, tablets or phones.',
    sizeBytes: BigInt('7500000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'gemma3n:latest',
    sourceUrl: 'https://registry.ollama.com/library/gemma3n',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'gemma4',
    tag: '26b',
    displayName: 'Gemma4 26B',
    category: 'VISION',
    description:
      'Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.',
    sizeBytes: BigInt('18000000000'),
    parameterCount: '26B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma4:26b',
    sourceUrl: 'https://registry.ollama.com/library/gemma4',
    isRecommended: false,
    capabilities: ['vision', 'tools', 'thinking', 'audio'],
  },
  {
    name: 'gemma4',
    tag: '31b',
    displayName: 'Gemma4 31B',
    category: 'VISION',
    description:
      'Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.',
    sizeBytes: BigInt('20000000000'),
    parameterCount: '31B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma4:31b',
    sourceUrl: 'https://registry.ollama.com/library/gemma4',
    isRecommended: false,
    capabilities: ['vision', 'tools', 'thinking', 'audio'],
  },
  {
    name: 'gemma4',
    tag: 'e2b',
    displayName: 'Gemma4 E2B',
    category: 'VISION',
    description:
      'Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.',
    sizeBytes: BigInt('7200000000'),
    parameterCount: '2B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma4:e2b',
    sourceUrl: 'https://registry.ollama.com/library/gemma4',
    isRecommended: false,
    capabilities: ['vision', 'tools', 'thinking', 'audio'],
  },
  {
    name: 'gemma4',
    tag: 'e4b',
    displayName: 'Gemma4 E4B',
    category: 'VISION',
    description:
      'Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.',
    sizeBytes: BigInt('9600000000'),
    parameterCount: '4B',
    runtime: 'OLLAMA',
    ollamaName: 'gemma4:e4b',
    sourceUrl: 'https://registry.ollama.com/library/gemma4',
    isRecommended: false,
    capabilities: ['vision', 'tools', 'thinking', 'audio'],
  },
  {
    name: 'gemma4',
    tag: 'latest',
    displayName: 'Gemma4',
    category: 'VISION',
    description:
      'Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.',
    sizeBytes: BigInt('9600000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'gemma4:latest',
    sourceUrl: 'https://registry.ollama.com/library/gemma4',
    isRecommended: true,
    capabilities: ['vision', 'tools', 'thinking', 'audio'],
  },
  {
    name: 'glm-4.7-flash',
    tag: 'latest',
    displayName: 'Glm 4.7 Flash',
    category: 'AGENT',
    description:
      'As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.',
    sizeBytes: null,
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'glm-4.7-flash:latest',
    sourceUrl: 'https://registry.ollama.com/library/glm-4.7-flash',
    isRecommended: true,
    capabilities: ['tools', 'thinking'],
  },
  {
    name: 'glm-ocr',
    tag: 'latest',
    displayName: 'Glm Ocr',
    category: 'VISION',
    description:
      'GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture.',
    sizeBytes: BigInt('2200000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'glm-ocr:latest',
    sourceUrl: 'https://registry.ollama.com/library/glm-ocr',
    isRecommended: true,
    capabilities: ['vision', 'tools'],
  },
  {
    name: 'glm4',
    tag: '9b',
    displayName: 'Glm4 9B',
    category: 'GENERAL',
    description:
      'A strong multi-lingual general language model with competitive performance to Llama 3.',
    sizeBytes: BigInt('5500000000'),
    parameterCount: '9B',
    runtime: 'OLLAMA',
    ollamaName: 'glm4:9b',
    sourceUrl: 'https://registry.ollama.com/library/glm4',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'glm4',
    tag: 'latest',
    displayName: 'Glm4',
    category: 'GENERAL',
    description:
      'A strong multi-lingual general language model with competitive performance to Llama 3.',
    sizeBytes: BigInt('5500000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'glm4:latest',
    sourceUrl: 'https://registry.ollama.com/library/glm4',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'goliath',
    tag: 'latest',
    displayName: 'Goliath',
    category: 'GENERAL',
    description:
      'A language model created by combining two fine-tuned Llama 2 70B models into one.',
    sizeBytes: BigInt('66000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'goliath:latest',
    sourceUrl: 'https://registry.ollama.com/library/goliath',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'gpt-oss',
    tag: '120b',
    displayName: 'Gpt Oss 120B',
    category: 'AGENT',
    description:
      'OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.',
    sizeBytes: BigInt('65000000000'),
    parameterCount: '120B',
    runtime: 'OLLAMA',
    ollamaName: 'gpt-oss:120b',
    sourceUrl: 'https://registry.ollama.com/library/gpt-oss',
    isRecommended: false,
    capabilities: ['tools', 'thinking'],
  },
  {
    name: 'gpt-oss',
    tag: '20b',
    displayName: 'Gpt Oss 20B',
    category: 'AGENT',
    description:
      'OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.',
    sizeBytes: BigInt('14000000000'),
    parameterCount: '20B',
    runtime: 'OLLAMA',
    ollamaName: 'gpt-oss:20b',
    sourceUrl: 'https://registry.ollama.com/library/gpt-oss',
    isRecommended: false,
    capabilities: ['tools', 'thinking'],
  },
  {
    name: 'gpt-oss',
    tag: 'latest',
    displayName: 'Gpt Oss',
    category: 'AGENT',
    description:
      'OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.',
    sizeBytes: BigInt('14000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'gpt-oss:latest',
    sourceUrl: 'https://registry.ollama.com/library/gpt-oss',
    isRecommended: true,
    capabilities: ['tools', 'thinking'],
  },
  {
    name: 'gpt-oss-safeguard',
    tag: '120b',
    displayName: 'Gpt Oss Safeguard 120B',
    category: 'AGENT',
    description:
      'gpt-oss-safeguard-20b and gpt-oss-safeguard-120b are safety reasoning models built-upon gpt-oss',
    sizeBytes: BigInt('65000000000'),
    parameterCount: '120B',
    runtime: 'OLLAMA',
    ollamaName: 'gpt-oss-safeguard:120b',
    sourceUrl: 'https://registry.ollama.com/library/gpt-oss-safeguard',
    isRecommended: false,
    capabilities: ['tools', 'thinking'],
  },
  {
    name: 'gpt-oss-safeguard',
    tag: '20b',
    displayName: 'Gpt Oss Safeguard 20B',
    category: 'AGENT',
    description:
      'gpt-oss-safeguard-20b and gpt-oss-safeguard-120b are safety reasoning models built-upon gpt-oss',
    sizeBytes: BigInt('14000000000'),
    parameterCount: '20B',
    runtime: 'OLLAMA',
    ollamaName: 'gpt-oss-safeguard:20b',
    sourceUrl: 'https://registry.ollama.com/library/gpt-oss-safeguard',
    isRecommended: false,
    capabilities: ['tools', 'thinking'],
  },
  {
    name: 'gpt-oss-safeguard',
    tag: 'latest',
    displayName: 'Gpt Oss Safeguard',
    category: 'AGENT',
    description:
      'gpt-oss-safeguard-20b and gpt-oss-safeguard-120b are safety reasoning models built-upon gpt-oss',
    sizeBytes: BigInt('14000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'gpt-oss-safeguard:latest',
    sourceUrl: 'https://registry.ollama.com/library/gpt-oss-safeguard',
    isRecommended: true,
    capabilities: ['tools', 'thinking'],
  },
  {
    name: 'granite-code',
    tag: '20b',
    displayName: 'Granite Code 20B',
    category: 'CODING',
    description: 'A family of open foundation models by IBM for Code Intelligence',
    sizeBytes: BigInt('12000000000'),
    parameterCount: '20B',
    runtime: 'OLLAMA',
    ollamaName: 'granite-code:20b',
    sourceUrl: 'https://registry.ollama.com/library/granite-code',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'granite-code',
    tag: '34b',
    displayName: 'Granite Code 34B',
    category: 'CODING',
    description: 'A family of open foundation models by IBM for Code Intelligence',
    sizeBytes: BigInt('19000000000'),
    parameterCount: '34B',
    runtime: 'OLLAMA',
    ollamaName: 'granite-code:34b',
    sourceUrl: 'https://registry.ollama.com/library/granite-code',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'granite-code',
    tag: '3b',
    displayName: 'Granite Code 3B',
    category: 'CODING',
    description: 'A family of open foundation models by IBM for Code Intelligence',
    sizeBytes: BigInt('2000000000'),
    parameterCount: '3B',
    runtime: 'OLLAMA',
    ollamaName: 'granite-code:3b',
    sourceUrl: 'https://registry.ollama.com/library/granite-code',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'granite-code',
    tag: '8b',
    displayName: 'Granite Code 8B',
    category: 'CODING',
    description: 'A family of open foundation models by IBM for Code Intelligence',
    sizeBytes: BigInt('4600000000'),
    parameterCount: '8B',
    runtime: 'OLLAMA',
    ollamaName: 'granite-code:8b',
    sourceUrl: 'https://registry.ollama.com/library/granite-code',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'granite-code',
    tag: 'latest',
    displayName: 'Granite Code',
    category: 'CODING',
    description: 'A family of open foundation models by IBM for Code Intelligence',
    sizeBytes: BigInt('2000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'granite-code:latest',
    sourceUrl: 'https://registry.ollama.com/library/granite-code',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'granite-embedding',
    tag: '278m',
    displayName: 'Granite Embedding 278M',
    category: 'EMBEDDING',
    description:
      'The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.',
    sizeBytes: BigInt('563000000'),
    parameterCount: '278M',
    runtime: 'OLLAMA',
    ollamaName: 'granite-embedding:278m',
    sourceUrl: 'https://registry.ollama.com/library/granite-embedding',
    isRecommended: false,
    capabilities: ['embedding'],
  },
  {
    name: 'granite-embedding',
    tag: '30m',
    displayName: 'Granite Embedding 30M',
    category: 'EMBEDDING',
    description:
      'The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.',
    sizeBytes: BigInt('63000000'),
    parameterCount: '30M',
    runtime: 'OLLAMA',
    ollamaName: 'granite-embedding:30m',
    sourceUrl: 'https://registry.ollama.com/library/granite-embedding',
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    capabilities: ['embedding'],
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    name: 'granite-embedding',
    tag: 'latest',
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      'The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.',
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    sourceUrl: 'https://registry.ollama.com/library/granite-embedding',
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    capabilities: ['embedding'],
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    name: 'granite3-dense',
    tag: '2b',
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      'The IBM Granite 2B and 8B models are designed to support tool-based use cases and support for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing.',
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    ollamaName: 'granite3-dense:2b',
    sourceUrl: 'https://registry.ollama.com/library/granite3-dense',
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    capabilities: ['tools'],
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      'The IBM Granite 2B and 8B models are designed to support tool-based use cases and support for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing.',
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    ollamaName: 'granite3-dense:8b',
    sourceUrl: 'https://registry.ollama.com/library/granite3-dense',
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    capabilities: ['tools'],
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    description:
      'The IBM Granite Guardian 3.0 2B and 8B models are designed to detect risks in prompts and/or responses.',
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    sourceUrl: 'https://registry.ollama.com/library/granite3-guardian',
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    capabilities: [],
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      'The IBM Granite Guardian 3.0 2B and 8B models are designed to detect risks in prompts and/or responses.',
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      'The IBM Granite 1B and 3B models are the first mixture of experts (MoE) Granite models from IBM designed for low latency usage.',
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      'The IBM Granite 1B and 3B models are the first mixture of experts (MoE) Granite models from IBM designed for low latency usage.',
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      'A compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more.',
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    parameterCount: '2B',
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    runtime: 'OLLAMA',
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      'IBM Granite 2B and 8B models are 128K context length language models that have been fine-tuned for improved reasoning and instruction-following capabilities.',
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      'IBM Granite 2B and 8B models are 128K context length language models that have been fine-tuned for improved reasoning and instruction-following capabilities.',
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    capabilities: ['tools'],
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  {
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      'Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.',
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    capabilities: ['tools'],
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  {
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      'Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.',
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    capabilities: ['tools'],
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  {
    name: 'granite4',
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      'Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.',
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      'Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.',
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      'Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.',
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  {
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      'Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.',
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      'Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.',
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  {
    name: 'hermes3',
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      'Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research',
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  {
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      'Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research',
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  {
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      'Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research',
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  {
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      'Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research',
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      'Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research',
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  {
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      'InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability.',
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      'A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG).',
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      'A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG).',
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    runtime: 'OLLAMA',
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    description:
      'A series of models from Groq that represent a significant advancement in open-source AI capabilities for tool use/function calling.',
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    parameterCount: '70B',
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    capabilities: ['tools'],
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      'A series of models from Groq that represent a significant advancement in open-source AI capabilities for tool use/function calling.',
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      'Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes.',
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      'Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes.',
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      'New state of the art 70B model. Llama 3.3 70B offers similar performance compared to the Llama 3.1 405B model.',
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    parameterCount: '70B',
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      '🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6.',
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    runtime: 'OLLAMA',
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      '🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6.',
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      '🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6.',
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      'A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks.',
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    sourceUrl: 'https://registry.ollama.com/library/llava-llama3',
    isRecommended: false,
    capabilities: ['vision'],
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  {
    name: 'llava-llama3',
    tag: 'latest',
    displayName: 'Llava Llama3',
    category: 'VISION',
    description:
      'A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks.',
    sizeBytes: BigInt('5500000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'llava-llama3:latest',
    sourceUrl: 'https://registry.ollama.com/library/llava-llama3',
    isRecommended: true,
    capabilities: ['vision'],
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  {
    name: 'llava-phi3',
    tag: '3.8b',
    displayName: 'Llava Phi3 3.8B',
    category: 'VISION',
    description: 'A new small LLaVA model fine-tuned from Phi 3 Mini.',
    sizeBytes: null,
    parameterCount: '3.8B',
    runtime: 'OLLAMA',
    ollamaName: 'llava-phi3:3.8b',
    sourceUrl: 'https://registry.ollama.com/library/llava-phi3',
    isRecommended: false,
    capabilities: ['vision'],
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  {
    name: 'llava-phi3',
    tag: 'latest',
    displayName: 'Llava Phi3',
    category: 'VISION',
    description: 'A new small LLaVA model fine-tuned from Phi 3 Mini.',
    sizeBytes: BigInt('2900000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'llava-phi3:latest',
    sourceUrl: 'https://registry.ollama.com/library/llava-phi3',
    isRecommended: true,
    capabilities: ['vision'],
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  {
    name: 'magicoder',
    tag: '7b',
    displayName: 'Magicoder 7B',
    category: 'CODING',
    description:
      '🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'magicoder:7b',
    sourceUrl: 'https://registry.ollama.com/library/magicoder',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'magicoder',
    tag: 'latest',
    displayName: 'Magicoder',
    category: 'CODING',
    description:
      '🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'magicoder:latest',
    sourceUrl: 'https://registry.ollama.com/library/magicoder',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'magistral',
    tag: '24b',
    displayName: 'Magistral 24B',
    category: 'AGENT',
    description: 'Magistral is a small, efficient reasoning model with 24B parameters.',
    sizeBytes: BigInt('14000000000'),
    parameterCount: '24B',
    runtime: 'OLLAMA',
    ollamaName: 'magistral:24b',
    sourceUrl: 'https://registry.ollama.com/library/magistral',
    isRecommended: false,
    capabilities: ['tools', 'thinking'],
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  {
    name: 'magistral',
    tag: 'latest',
    displayName: 'Magistral',
    category: 'AGENT',
    description: 'Magistral is a small, efficient reasoning model with 24B parameters.',
    sizeBytes: BigInt('14000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'magistral:latest',
    sourceUrl: 'https://registry.ollama.com/library/magistral',
    isRecommended: true,
    capabilities: ['tools', 'thinking'],
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  {
    name: 'marco-o1',
    tag: '7b',
    displayName: 'Marco O1 7B',
    category: 'REASONING',
    description:
      'An open large reasoning model for real-world solutions by the Alibaba International Digital Commerce Group (AIDC-AI).',
    sizeBytes: BigInt('4700000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'marco-o1:7b',
    sourceUrl: 'https://registry.ollama.com/library/marco-o1',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'marco-o1',
    tag: 'latest',
    displayName: 'Marco O1',
    category: 'REASONING',
    description:
      'An open large reasoning model for real-world solutions by the Alibaba International Digital Commerce Group (AIDC-AI).',
    sizeBytes: BigInt('4700000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'marco-o1:latest',
    sourceUrl: 'https://registry.ollama.com/library/marco-o1',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'mathstral',
    tag: '7b',
    displayName: 'Mathstral 7B',
    category: 'REASONING',
    description:
      'MathΣtral: a 7B model designed for math reasoning and scientific discovery by Mistral AI.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'mathstral:7b',
    sourceUrl: 'https://registry.ollama.com/library/mathstral',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'mathstral',
    tag: 'latest',
    displayName: 'Mathstral',
    category: 'REASONING',
    description:
      'MathΣtral: a 7B model designed for math reasoning and scientific discovery by Mistral AI.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'mathstral:latest',
    sourceUrl: 'https://registry.ollama.com/library/mathstral',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'medgemma',
    tag: '27b',
    displayName: 'Medgemma 27B',
    category: 'MEDICAL',
    description:
      'MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension.',
    sizeBytes: BigInt('17000000000'),
    parameterCount: '27B',
    runtime: 'OLLAMA',
    ollamaName: 'medgemma:27b',
    sourceUrl: 'https://registry.ollama.com/library/medgemma',
    isRecommended: false,
    capabilities: ['vision'],
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  {
    name: 'medgemma',
    tag: '4b',
    displayName: 'Medgemma 4B',
    category: 'MEDICAL',
    description:
      'MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension.',
    sizeBytes: BigInt('3300000000'),
    parameterCount: '4B',
    runtime: 'OLLAMA',
    ollamaName: 'medgemma:4b',
    sourceUrl: 'https://registry.ollama.com/library/medgemma',
    isRecommended: false,
    capabilities: ['vision'],
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  {
    name: 'medgemma',
    tag: 'latest',
    displayName: 'Medgemma',
    category: 'MEDICAL',
    description:
      'MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension.',
    sizeBytes: BigInt('3300000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'medgemma:latest',
    sourceUrl: 'https://registry.ollama.com/library/medgemma',
    isRecommended: true,
    capabilities: ['vision'],
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  {
    name: 'medgemma1.5',
    tag: '4b',
    displayName: 'Medgemma1.5 4B',
    category: 'MEDICAL',
    description: 'MedGemma 1.5 4B is an updated version of the MedGemma 4B model.',
    sizeBytes: null,
    parameterCount: '4B',
    runtime: 'OLLAMA',
    ollamaName: 'medgemma1.5:4b',
    sourceUrl: 'https://registry.ollama.com/library/medgemma1.5',
    isRecommended: false,
    capabilities: ['vision'],
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  {
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    tag: 'latest',
    displayName: 'Medgemma1.5',
    category: 'MEDICAL',
    description: 'MedGemma 1.5 4B is an updated version of the MedGemma 4B model.',
    sizeBytes: null,
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'medgemma1.5:latest',
    sourceUrl: 'https://registry.ollama.com/library/medgemma1.5',
    isRecommended: true,
    capabilities: ['vision'],
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  {
    name: 'meditron',
    tag: '70b',
    displayName: 'Meditron 70B',
    category: 'MEDICAL',
    description:
      'Open-source medical large language model adapted from Llama 2 to the medical domain.',
    sizeBytes: BigInt('39000000000'),
    parameterCount: '70B',
    runtime: 'OLLAMA',
    ollamaName: 'meditron:70b',
    sourceUrl: 'https://registry.ollama.com/library/meditron',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'meditron',
    tag: '7b',
    displayName: 'Meditron 7B',
    category: 'MEDICAL',
    description:
      'Open-source medical large language model adapted from Llama 2 to the medical domain.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'meditron:7b',
    sourceUrl: 'https://registry.ollama.com/library/meditron',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'meditron',
    tag: 'latest',
    displayName: 'Meditron',
    category: 'MEDICAL',
    description:
      'Open-source medical large language model adapted from Llama 2 to the medical domain.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'meditron:latest',
    sourceUrl: 'https://registry.ollama.com/library/meditron',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'medllama2',
    tag: '7b',
    displayName: 'Medllama2 7B',
    category: 'MEDICAL',
    description:
      'Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'medllama2:7b',
    sourceUrl: 'https://registry.ollama.com/library/medllama2',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'medllama2',
    tag: 'latest',
    displayName: 'Medllama2',
    category: 'MEDICAL',
    description:
      'Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'medllama2:latest',
    sourceUrl: 'https://registry.ollama.com/library/medllama2',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'megadolphin',
    tag: '120b',
    displayName: 'Megadolphin 120B',
    category: 'GENERAL',
    description:
      'MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself.',
    sizeBytes: BigInt('68000000000'),
    parameterCount: '120B',
    runtime: 'OLLAMA',
    ollamaName: 'megadolphin:120b',
    sourceUrl: 'https://registry.ollama.com/library/megadolphin',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'megadolphin',
    tag: 'latest',
    displayName: 'Megadolphin',
    category: 'GENERAL',
    description:
      'MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself.',
    sizeBytes: BigInt('68000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'megadolphin:latest',
    sourceUrl: 'https://registry.ollama.com/library/megadolphin',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'minicpm-v',
    tag: '8b',
    displayName: 'Minicpm V 8B',
    category: 'VISION',
    description: 'A series of multimodal LLMs (MLLMs) designed for vision-language understanding.',
    sizeBytes: BigInt('5500000000'),
    parameterCount: '8B',
    runtime: 'OLLAMA',
    ollamaName: 'minicpm-v:8b',
    sourceUrl: 'https://registry.ollama.com/library/minicpm-v',
    isRecommended: false,
    capabilities: ['vision'],
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  {
    name: 'minicpm-v',
    tag: 'latest',
    displayName: 'Minicpm V',
    category: 'VISION',
    description: 'A series of multimodal LLMs (MLLMs) designed for vision-language understanding.',
    sizeBytes: BigInt('5500000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'minicpm-v:latest',
    sourceUrl: 'https://registry.ollama.com/library/minicpm-v',
    isRecommended: true,
    capabilities: ['vision'],
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  {
    name: 'ministral-3',
    tag: '14b',
    displayName: 'Ministral 3 14B',
    category: 'VISION',
    description:
      'The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware.',
    sizeBytes: BigInt('9100000000'),
    parameterCount: '14B',
    runtime: 'OLLAMA',
    ollamaName: 'ministral-3:14b',
    sourceUrl: 'https://registry.ollama.com/library/ministral-3',
    isRecommended: false,
    capabilities: ['vision', 'tools'],
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  {
    name: 'ministral-3',
    tag: '3b',
    displayName: 'Ministral 3 3B',
    category: 'VISION',
    description:
      'The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware.',
    sizeBytes: BigInt('3000000000'),
    parameterCount: '3B',
    runtime: 'OLLAMA',
    ollamaName: 'ministral-3:3b',
    sourceUrl: 'https://registry.ollama.com/library/ministral-3',
    isRecommended: false,
    capabilities: ['vision', 'tools'],
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  {
    name: 'ministral-3',
    tag: '8b',
    displayName: 'Ministral 3 8B',
    category: 'VISION',
    description:
      'The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware.',
    sizeBytes: BigInt('6000000000'),
    parameterCount: '8B',
    runtime: 'OLLAMA',
    ollamaName: 'ministral-3:8b',
    sourceUrl: 'https://registry.ollama.com/library/ministral-3',
    isRecommended: false,
    capabilities: ['vision', 'tools'],
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  {
    name: 'ministral-3',
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    displayName: 'Ministral 3',
    category: 'VISION',
    description:
      'The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware.',
    sizeBytes: BigInt('6000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'ministral-3:latest',
    sourceUrl: 'https://registry.ollama.com/library/ministral-3',
    isRecommended: true,
    capabilities: ['vision', 'tools'],
  },
  {
    name: 'mistral',
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    displayName: 'Mistral 7B',
    category: 'AGENT',
    description: 'The 7B model released by Mistral AI, updated to version 0.3.',
    sizeBytes: BigInt('4400000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'mistral:7b',
    sourceUrl: 'https://registry.ollama.com/library/mistral',
    isRecommended: false,
    capabilities: ['tools'],
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  {
    name: 'mistral',
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    displayName: 'Mistral INSTRUCT',
    category: 'AGENT',
    description: 'The 7B model released by Mistral AI, updated to version 0.3.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'mistral:instruct',
    sourceUrl: 'https://registry.ollama.com/library/mistral',
    isRecommended: false,
    capabilities: ['tools'],
  },
  {
    name: 'mistral',
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    displayName: 'Mistral',
    category: 'AGENT',
    description: 'The 7B model released by Mistral AI, updated to version 0.3.',
    sizeBytes: BigInt('4400000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'mistral:latest',
    sourceUrl: 'https://registry.ollama.com/library/mistral',
    isRecommended: true,
    capabilities: ['tools'],
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  {
    name: 'mistral-large',
    tag: '123b',
    displayName: 'Mistral Large 123B',
    category: 'AGENT',
    description:
      "Mistral Large 2 is Mistral's new flagship model that is significantly more capable in code generation, mathematics, and reasoning with 128k context window and support for dozens of languages.",
    sizeBytes: BigInt('73000000000'),
    parameterCount: '123B',
    runtime: 'OLLAMA',
    ollamaName: 'mistral-large:123b',
    sourceUrl: 'https://registry.ollama.com/library/mistral-large',
    isRecommended: false,
    capabilities: ['tools'],
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  {
    name: 'mistral-large',
    tag: 'latest',
    displayName: 'Mistral Large',
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    description:
      "Mistral Large 2 is Mistral's new flagship model that is significantly more capable in code generation, mathematics, and reasoning with 128k context window and support for dozens of languages.",
    sizeBytes: BigInt('73000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'mistral-large:latest',
    sourceUrl: 'https://registry.ollama.com/library/mistral-large',
    isRecommended: true,
    capabilities: ['tools'],
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  {
    name: 'mistral-nemo',
    tag: '12b',
    displayName: 'Mistral Nemo 12B',
    category: 'AGENT',
    description:
      'A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA.',
    sizeBytes: BigInt('7100000000'),
    parameterCount: '12B',
    runtime: 'OLLAMA',
    ollamaName: 'mistral-nemo:12b',
    sourceUrl: 'https://registry.ollama.com/library/mistral-nemo',
    isRecommended: false,
    capabilities: ['tools'],
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  {
    name: 'mistral-nemo',
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    displayName: 'Mistral Nemo',
    category: 'AGENT',
    description:
      'A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA.',
    sizeBytes: BigInt('7100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'mistral-nemo:latest',
    sourceUrl: 'https://registry.ollama.com/library/mistral-nemo',
    isRecommended: true,
    capabilities: ['tools'],
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  {
    name: 'mistral-openorca',
    tag: '7b',
    displayName: 'Mistral Openorca 7B',
    category: 'GENERAL',
    description:
      'Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'mistral-openorca:7b',
    sourceUrl: 'https://registry.ollama.com/library/mistral-openorca',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'mistral-openorca',
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    displayName: 'Mistral Openorca',
    category: 'GENERAL',
    description:
      'Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'mistral-openorca:latest',
    sourceUrl: 'https://registry.ollama.com/library/mistral-openorca',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'mistral-small',
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    displayName: 'Mistral Small 22B',
    category: 'AGENT',
    description:
      'Mistral Small 3 sets a new benchmark in the “small” Large Language Models category below 70B.',
    sizeBytes: BigInt('13000000000'),
    parameterCount: '22B',
    runtime: 'OLLAMA',
    ollamaName: 'mistral-small:22b',
    sourceUrl: 'https://registry.ollama.com/library/mistral-small',
    isRecommended: false,
    capabilities: ['tools'],
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  {
    name: 'mistral-small',
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    displayName: 'Mistral Small 24B',
    category: 'AGENT',
    description:
      'Mistral Small 3 sets a new benchmark in the “small” Large Language Models category below 70B.',
    sizeBytes: BigInt('14000000000'),
    parameterCount: '24B',
    runtime: 'OLLAMA',
    ollamaName: 'mistral-small:24b',
    sourceUrl: 'https://registry.ollama.com/library/mistral-small',
    isRecommended: false,
    capabilities: ['tools'],
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  {
    name: 'mistral-small',
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    displayName: 'Mistral Small',
    category: 'AGENT',
    description:
      'Mistral Small 3 sets a new benchmark in the “small” Large Language Models category below 70B.',
    sizeBytes: BigInt('14000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'mistral-small:latest',
    sourceUrl: 'https://registry.ollama.com/library/mistral-small',
    isRecommended: true,
    capabilities: ['tools'],
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  {
    name: 'mistral-small3.1',
    tag: '24b',
    displayName: 'Mistral Small3.1 24B',
    category: 'VISION',
    description:
      'Building upon Mistral Small 3, Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance.',
    sizeBytes: null,
    parameterCount: '24B',
    runtime: 'OLLAMA',
    ollamaName: 'mistral-small3.1:24b',
    sourceUrl: 'https://registry.ollama.com/library/mistral-small3.1',
    isRecommended: false,
    capabilities: ['vision', 'tools'],
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    name: 'mistral-small3.1',
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    displayName: 'Mistral Small3.1',
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    description:
      'Building upon Mistral Small 3, Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance.',
    sizeBytes: null,
    parameterCount: null,
    runtime: 'OLLAMA',
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    sourceUrl: 'https://registry.ollama.com/library/mistral-small3.1',
    isRecommended: true,
    capabilities: ['vision', 'tools'],
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    name: 'mistral-small3.2',
    tag: '24b',
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    category: 'VISION',
    description:
      'An update to Mistral Small that improves on function calling, instruction following, and less repetition errors.',
    sizeBytes: null,
    parameterCount: '24B',
    runtime: 'OLLAMA',
    ollamaName: 'mistral-small3.2:24b',
    sourceUrl: 'https://registry.ollama.com/library/mistral-small3.2',
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    capabilities: ['vision', 'tools'],
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    description:
      'An update to Mistral Small that improves on function calling, instruction following, and less repetition errors.',
    sizeBytes: null,
    parameterCount: null,
    runtime: 'OLLAMA',
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    sourceUrl: 'https://registry.ollama.com/library/mistral-small3.2',
    isRecommended: true,
    capabilities: ['vision', 'tools'],
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  {
    name: 'mistrallite',
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    category: 'GENERAL',
    description:
      'MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'mistrallite:7b',
    sourceUrl: 'https://registry.ollama.com/library/mistrallite',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'mistrallite',
    tag: 'latest',
    displayName: 'Mistrallite',
    category: 'GENERAL',
    description:
      'MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'mistrallite:latest',
    sourceUrl: 'https://registry.ollama.com/library/mistrallite',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'mixtral',
    tag: 'instruct',
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      'Phi-4-mini brings significant enhancements in multilingual support, reasoning, and mathematics, and now, the long-awaited function calling feature is finally supported.',
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      'Phi 4 reasoning and reasoning plus are 14-billion parameter open-weight reasoning models that rival much larger models on complex reasoning tasks.',
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    description: 'A new small reasoning model fine-tuned from the Qwen 2.5 3B Instruct model.',
    sizeBytes: BigInt('3600000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'smallthinker:latest',
    sourceUrl: 'https://registry.ollama.com/library/smallthinker',
    isRecommended: true,
    capabilities: [],
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    tag: '1.7b',
    displayName: 'Smollm 1.7B',
    category: 'ROUTING',
    description:
      '🪐 A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset.',
    sizeBytes: null,
    parameterCount: '1.7B',
    runtime: 'OLLAMA',
    ollamaName: 'smollm:1.7b',
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    capabilities: [],
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    category: 'ROUTING',
    description:
      '🪐 A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset.',
    sizeBytes: BigInt('92000000'),
    parameterCount: '135M',
    runtime: 'OLLAMA',
    ollamaName: 'smollm:135m',
    sourceUrl: 'https://registry.ollama.com/library/smollm',
    isRecommended: false,
    capabilities: [],
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    name: 'smollm',
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    category: 'ROUTING',
    description:
      '🪐 A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset.',
    sizeBytes: BigInt('229000000'),
    parameterCount: '360M',
    runtime: 'OLLAMA',
    ollamaName: 'smollm:360m',
    sourceUrl: 'https://registry.ollama.com/library/smollm',
    isRecommended: false,
    capabilities: [],
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    tag: 'latest',
    displayName: 'Smollm',
    category: 'ROUTING',
    description:
      '🪐 A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset.',
    sizeBytes: BigInt('991000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'smollm:latest',
    sourceUrl: 'https://registry.ollama.com/library/smollm',
    isRecommended: true,
    capabilities: [],
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    tag: '1.7b',
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      'SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters.',
    sizeBytes: null,
    parameterCount: '1.7B',
    runtime: 'OLLAMA',
    ollamaName: 'smollm2:1.7b',
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    isRecommended: false,
    capabilities: ['tools'],
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      'SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters.',
    sizeBytes: BigInt('271000000'),
    parameterCount: '135M',
    runtime: 'OLLAMA',
    ollamaName: 'smollm2:135m',
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    isRecommended: false,
    capabilities: ['tools'],
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      'SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters.',
    sizeBytes: BigInt('726000000'),
    parameterCount: '360M',
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    ollamaName: 'smollm2:360m',
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    capabilities: ['tools'],
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    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'smollm2:latest',
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    isRecommended: true,
    capabilities: ['tools'],
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    name: 'snowflake-arctic-embed',
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    displayName: 'Snowflake Arctic Embed 110M',
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    description: 'A suite of text embedding models by Snowflake, optimized for performance.',
    sizeBytes: BigInt('219000000'),
    parameterCount: '110M',
    runtime: 'OLLAMA',
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    capabilities: ['embedding'],
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    description: 'A suite of text embedding models by Snowflake, optimized for performance.',
    sizeBytes: BigInt('274000000'),
    parameterCount: '137M',
    runtime: 'OLLAMA',
    ollamaName: 'snowflake-arctic-embed:137m',
    sourceUrl: 'https://registry.ollama.com/library/snowflake-arctic-embed',
    isRecommended: false,
    capabilities: ['embedding'],
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    name: 'snowflake-arctic-embed',
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    displayName: 'Snowflake Arctic Embed 22M',
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    description: 'A suite of text embedding models by Snowflake, optimized for performance.',
    sizeBytes: BigInt('46000000'),
    parameterCount: '22M',
    runtime: 'OLLAMA',
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    capabilities: ['embedding'],
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    description: 'A suite of text embedding models by Snowflake, optimized for performance.',
    sizeBytes: BigInt('669000000'),
    parameterCount: '335M',
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    isRecommended: false,
    capabilities: ['embedding'],
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    description: 'A suite of text embedding models by Snowflake, optimized for performance.',
    sizeBytes: BigInt('67000000'),
    parameterCount: '33M',
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    capabilities: ['embedding'],
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    sizeBytes: BigInt('669000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'snowflake-arctic-embed:latest',
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    capabilities: ['embedding'],
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    description: 'A suite of text embedding models by Snowflake, optimized for performance.',
    sizeBytes: BigInt('274000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
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    capabilities: ['embedding'],
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    category: 'EMBEDDING',
    description:
      "Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.",
    sizeBytes: BigInt('1200000000'),
    parameterCount: '568M',
    runtime: 'OLLAMA',
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    capabilities: ['embedding'],
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      "Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.",
    sizeBytes: BigInt('1200000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
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    capabilities: ['embedding'],
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    name: 'solar',
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    category: 'GENERAL',
    description:
      'A compact, yet powerful 10.7B large language model designed for single-turn conversation.',
    sizeBytes: null,
    parameterCount: '10.7B',
    runtime: 'OLLAMA',
    ollamaName: 'solar:10.7b',
    sourceUrl: 'https://registry.ollama.com/library/solar',
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    capabilities: [],
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    name: 'solar',
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    displayName: 'Solar',
    category: 'GENERAL',
    description:
      'A compact, yet powerful 10.7B large language model designed for single-turn conversation.',
    sizeBytes: BigInt('6100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'solar:latest',
    sourceUrl: 'https://registry.ollama.com/library/solar',
    isRecommended: true,
    capabilities: [],
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    name: 'solar-pro',
    tag: '22b',
    displayName: 'Solar Pro 22B',
    category: 'GENERAL',
    description:
      'Solar Pro Preview: an advanced large language model (LLM) with 22 billion parameters designed to fit into a single GPU',
    sizeBytes: BigInt('13000000000'),
    parameterCount: '22B',
    runtime: 'OLLAMA',
    ollamaName: 'solar-pro:22b',
    sourceUrl: 'https://registry.ollama.com/library/solar-pro',
    isRecommended: false,
    capabilities: [],
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    name: 'solar-pro',
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    displayName: 'Solar Pro',
    category: 'GENERAL',
    description:
      'Solar Pro Preview: an advanced large language model (LLM) with 22 billion parameters designed to fit into a single GPU',
    sizeBytes: BigInt('13000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'solar-pro:latest',
    sourceUrl: 'https://registry.ollama.com/library/solar-pro',
    isRecommended: true,
    capabilities: [],
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    name: 'sqlcoder',
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    displayName: 'Sqlcoder 15B',
    category: 'CODING',
    description:
      'SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks',
    sizeBytes: BigInt('9000000000'),
    parameterCount: '15B',
    runtime: 'OLLAMA',
    ollamaName: 'sqlcoder:15b',
    sourceUrl: 'https://registry.ollama.com/library/sqlcoder',
    isRecommended: false,
    capabilities: [],
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    name: 'sqlcoder',
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    displayName: 'Sqlcoder 7B',
    category: 'CODING',
    description:
      'SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks',
    sizeBytes: BigInt('4100000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'sqlcoder:7b',
    sourceUrl: 'https://registry.ollama.com/library/sqlcoder',
    isRecommended: false,
    capabilities: [],
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    name: 'sqlcoder',
    tag: 'latest',
    displayName: 'Sqlcoder',
    category: 'CODING',
    description:
      'SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks',
    sizeBytes: BigInt('4100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'sqlcoder:latest',
    sourceUrl: 'https://registry.ollama.com/library/sqlcoder',
    isRecommended: true,
    capabilities: [],
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    name: 'stable-beluga',
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    displayName: 'Stable Beluga 13B',
    category: 'GENERAL',
    description:
      'Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: '13B',
    runtime: 'OLLAMA',
    ollamaName: 'stable-beluga:13b',
    sourceUrl: 'https://registry.ollama.com/library/stable-beluga',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'stable-beluga',
    tag: '70b',
    displayName: 'Stable Beluga 70B',
    category: 'GENERAL',
    description:
      'Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy.',
    sizeBytes: BigInt('39000000000'),
    parameterCount: '70B',
    runtime: 'OLLAMA',
    ollamaName: 'stable-beluga:70b',
    sourceUrl: 'https://registry.ollama.com/library/stable-beluga',
    isRecommended: false,
    capabilities: [],
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    name: 'stable-beluga',
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    displayName: 'Stable Beluga 7B',
    category: 'GENERAL',
    description:
      'Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
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    capabilities: [],
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    name: 'stable-beluga',
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    category: 'GENERAL',
    description:
      'Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
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    sourceUrl: 'https://registry.ollama.com/library/stable-beluga',
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    capabilities: [],
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    displayName: 'Stable Code 3B',
    category: 'CODING',
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      'Stable Code 3B is a coding model with instruct and code completion variants on par with models such as Code Llama 7B that are 2.5x larger.',
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    parameterCount: '3B',
    runtime: 'OLLAMA',
    ollamaName: 'stable-code:3b',
    sourceUrl: 'https://registry.ollama.com/library/stable-code',
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    capabilities: [],
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    displayName: 'Stable Code INSTRUCT',
    category: 'CODING',
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      'Stable Code 3B is a coding model with instruct and code completion variants on par with models such as Code Llama 7B that are 2.5x larger.',
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    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'stable-code:instruct',
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    capabilities: [],
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    displayName: 'Stable Code',
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      'Stable Code 3B is a coding model with instruct and code completion variants on par with models such as Code Llama 7B that are 2.5x larger.',
    sizeBytes: BigInt('1600000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'stable-code:latest',
    sourceUrl: 'https://registry.ollama.com/library/stable-code',
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    capabilities: [],
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    name: 'stablelm-zephyr',
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    displayName: 'Stablelm Zephyr 3B',
    category: 'GENERAL',
    description:
      'A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware.',
    sizeBytes: BigInt('1600000000'),
    parameterCount: '3B',
    runtime: 'OLLAMA',
    ollamaName: 'stablelm-zephyr:3b',
    sourceUrl: 'https://registry.ollama.com/library/stablelm-zephyr',
    isRecommended: false,
    capabilities: [],
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    name: 'stablelm-zephyr',
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    displayName: 'Stablelm Zephyr',
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    description:
      'A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware.',
    sizeBytes: BigInt('1600000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
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    sourceUrl: 'https://registry.ollama.com/library/stablelm-zephyr',
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    capabilities: [],
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    name: 'stablelm2',
    tag: '1.6b',
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    category: 'GENERAL',
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      'Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.',
    sizeBytes: null,
    parameterCount: '1.6B',
    runtime: 'OLLAMA',
    ollamaName: 'stablelm2:1.6b',
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    capabilities: [],
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    displayName: 'Stablelm2 12B',
    category: 'GENERAL',
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      'Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.',
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    parameterCount: '12B',
    runtime: 'OLLAMA',
    ollamaName: 'stablelm2:12b',
    sourceUrl: 'https://registry.ollama.com/library/stablelm2',
    isRecommended: false,
    capabilities: [],
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    name: 'stablelm2',
    tag: 'chat',
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    category: 'GENERAL',
    description:
      'Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.',
    sizeBytes: BigInt('983000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
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    capabilities: [],
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      'Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.',
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    runtime: 'OLLAMA',
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    capabilities: [],
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    name: 'starcoder',
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    category: 'CODING',
    description: 'StarCoder is a code generation model trained on 80&#43; programming languages.',
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    parameterCount: '15B',
    runtime: 'OLLAMA',
    ollamaName: 'starcoder:15b',
    sourceUrl: 'https://registry.ollama.com/library/starcoder',
    isRecommended: false,
    capabilities: [],
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    name: 'starcoder',
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    displayName: 'Starcoder 1B',
    category: 'CODING',
    description: 'StarCoder is a code generation model trained on 80&#43; programming languages.',
    sizeBytes: BigInt('726000000'),
    parameterCount: '1B',
    runtime: 'OLLAMA',
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    sourceUrl: 'https://registry.ollama.com/library/starcoder',
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    capabilities: [],
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    name: 'starcoder',
    tag: '3b',
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    description: 'StarCoder is a code generation model trained on 80&#43; programming languages.',
    sizeBytes: BigInt('1800000000'),
    parameterCount: '3B',
    runtime: 'OLLAMA',
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    sourceUrl: 'https://registry.ollama.com/library/starcoder',
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    capabilities: [],
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    name: 'starcoder',
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    description: 'StarCoder is a code generation model trained on 80&#43; programming languages.',
    sizeBytes: BigInt('4300000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
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    capabilities: [],
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    displayName: 'Starcoder',
    category: 'CODING',
    description: 'StarCoder is a code generation model trained on 80&#43; programming languages.',
    sizeBytes: BigInt('1800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
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    capabilities: [],
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    tag: '15b',
    displayName: 'Starcoder2 15B',
    category: 'CODING',
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      'StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.',
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    parameterCount: '15B',
    runtime: 'OLLAMA',
    ollamaName: 'starcoder2:15b',
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    capabilities: [],
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    description:
      'StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.',
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    parameterCount: '3B',
    runtime: 'OLLAMA',
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    capabilities: [],
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    description:
      'StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.',
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    runtime: 'OLLAMA',
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    displayName: 'Starcoder2 INSTRUCT',
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      'StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.',
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    parameterCount: null,
    runtime: 'OLLAMA',
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    description:
      'StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.',
    sizeBytes: BigInt('1700000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'starcoder2:latest',
    sourceUrl: 'https://registry.ollama.com/library/starcoder2',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'starling-lm',
    tag: '7b',
    displayName: 'Starling Lm 7B',
    category: 'GENERAL',
    description:
      'Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'starling-lm:7b',
    sourceUrl: 'https://registry.ollama.com/library/starling-lm',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'starling-lm',
    tag: 'latest',
    displayName: 'Starling Lm',
    category: 'GENERAL',
    description:
      'Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'starling-lm:latest',
    sourceUrl: 'https://registry.ollama.com/library/starling-lm',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'tinydolphin',
    tag: '1.1b',
    displayName: 'Tinydolphin 1.1B',
    category: 'GENERAL',
    description:
      'An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama.',
    sizeBytes: null,
    parameterCount: '1.1B',
    runtime: 'OLLAMA',
    ollamaName: 'tinydolphin:1.1b',
    sourceUrl: 'https://registry.ollama.com/library/tinydolphin',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'tinydolphin',
    tag: 'latest',
    displayName: 'Tinydolphin',
    category: 'GENERAL',
    description:
      'An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama.',
    sizeBytes: BigInt('637000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'tinydolphin:latest',
    sourceUrl: 'https://registry.ollama.com/library/tinydolphin',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'tinyllama',
    tag: '1.1b',
    displayName: 'Tinyllama 1.1B',
    category: 'GENERAL',
    description:
      'The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens.',
    sizeBytes: null,
    parameterCount: '1.1B',
    runtime: 'OLLAMA',
    ollamaName: 'tinyllama:1.1b',
    sourceUrl: 'https://registry.ollama.com/library/tinyllama',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'tinyllama',
    tag: 'chat',
    displayName: 'Tinyllama CHAT',
    category: 'GENERAL',
    description:
      'The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens.',
    sizeBytes: BigInt('638000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'tinyllama:chat',
    sourceUrl: 'https://registry.ollama.com/library/tinyllama',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'tinyllama',
    tag: 'latest',
    displayName: 'Tinyllama',
    category: 'GENERAL',
    description:
      'The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens.',
    sizeBytes: BigInt('638000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'tinyllama:latest',
    sourceUrl: 'https://registry.ollama.com/library/tinyllama',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'translategemma',
    tag: '12b',
    displayName: 'Translategemma 12B',
    category: 'TRANSLATION',
    description:
      'A new collection of open translation models built on Gemma 3, helping people communicate across 55 languages.',
    sizeBytes: BigInt('8100000000'),
    parameterCount: '12B',
    runtime: 'OLLAMA',
    ollamaName: 'translategemma:12b',
    sourceUrl: 'https://registry.ollama.com/library/translategemma',
    isRecommended: false,
    capabilities: ['vision'],
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  {
    name: 'translategemma',
    tag: '27b',
    displayName: 'Translategemma 27B',
    category: 'TRANSLATION',
    description:
      'A new collection of open translation models built on Gemma 3, helping people communicate across 55 languages.',
    sizeBytes: BigInt('17000000000'),
    parameterCount: '27B',
    runtime: 'OLLAMA',
    ollamaName: 'translategemma:27b',
    sourceUrl: 'https://registry.ollama.com/library/translategemma',
    isRecommended: false,
    capabilities: ['vision'],
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  {
    name: 'translategemma',
    tag: '4b',
    displayName: 'Translategemma 4B',
    category: 'TRANSLATION',
    description:
      'A new collection of open translation models built on Gemma 3, helping people communicate across 55 languages.',
    sizeBytes: BigInt('3300000000'),
    parameterCount: '4B',
    runtime: 'OLLAMA',
    ollamaName: 'translategemma:4b',
    sourceUrl: 'https://registry.ollama.com/library/translategemma',
    isRecommended: false,
    capabilities: ['vision'],
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  {
    name: 'translategemma',
    tag: 'latest',
    displayName: 'Translategemma',
    category: 'TRANSLATION',
    description:
      'A new collection of open translation models built on Gemma 3, helping people communicate across 55 languages.',
    sizeBytes: BigInt('3300000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'translategemma:latest',
    sourceUrl: 'https://registry.ollama.com/library/translategemma',
    isRecommended: true,
    capabilities: ['vision'],
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  {
    name: 'tulu3',
    tag: '70b',
    displayName: 'Tulu3 70B',
    category: 'CODING',
    description:
      'Tülu 3 is a leading instruction following model family, offering fully open-source data, code, and recipes by the The Allen Institute for AI.',
    sizeBytes: BigInt('43000000000'),
    parameterCount: '70B',
    runtime: 'OLLAMA',
    ollamaName: 'tulu3:70b',
    sourceUrl: 'https://registry.ollama.com/library/tulu3',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'tulu3',
    tag: '8b',
    displayName: 'Tulu3 8B',
    category: 'CODING',
    description:
      'Tülu 3 is a leading instruction following model family, offering fully open-source data, code, and recipes by the The Allen Institute for AI.',
    sizeBytes: BigInt('4900000000'),
    parameterCount: '8B',
    runtime: 'OLLAMA',
    ollamaName: 'tulu3:8b',
    sourceUrl: 'https://registry.ollama.com/library/tulu3',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'tulu3',
    tag: 'latest',
    displayName: 'Tulu3',
    category: 'CODING',
    description:
      'Tülu 3 is a leading instruction following model family, offering fully open-source data, code, and recipes by the The Allen Institute for AI.',
    sizeBytes: BigInt('4900000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'tulu3:latest',
    sourceUrl: 'https://registry.ollama.com/library/tulu3',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'vicuna',
    tag: '13b',
    displayName: 'Vicuna 13B',
    category: 'GENERAL',
    description: 'General use chat model based on Llama and Llama 2 with 2K to 16K context sizes.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: '13B',
    runtime: 'OLLAMA',
    ollamaName: 'vicuna:13b',
    sourceUrl: 'https://registry.ollama.com/library/vicuna',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'vicuna',
    tag: '33b',
    displayName: 'Vicuna 33B',
    category: 'GENERAL',
    description: 'General use chat model based on Llama and Llama 2 with 2K to 16K context sizes.',
    sizeBytes: BigInt('18000000000'),
    parameterCount: '33B',
    runtime: 'OLLAMA',
    ollamaName: 'vicuna:33b',
    sourceUrl: 'https://registry.ollama.com/library/vicuna',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'vicuna',
    tag: '7b',
    displayName: 'Vicuna 7B',
    category: 'GENERAL',
    description: 'General use chat model based on Llama and Llama 2 with 2K to 16K context sizes.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'vicuna:7b',
    sourceUrl: 'https://registry.ollama.com/library/vicuna',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'vicuna',
    tag: 'latest',
    displayName: 'Vicuna',
    category: 'GENERAL',
    description: 'General use chat model based on Llama and Llama 2 with 2K to 16K context sizes.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'vicuna:latest',
    sourceUrl: 'https://registry.ollama.com/library/vicuna',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'wizard-math',
    tag: '13b',
    displayName: 'Wizard Math 13B',
    category: 'GENERAL',
    description: 'Model focused on math and logic problems',
    sizeBytes: BigInt('7400000000'),
    parameterCount: '13B',
    runtime: 'OLLAMA',
    ollamaName: 'wizard-math:13b',
    sourceUrl: 'https://registry.ollama.com/library/wizard-math',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'wizard-math',
    tag: '70b',
    displayName: 'Wizard Math 70B',
    category: 'GENERAL',
    description: 'Model focused on math and logic problems',
    sizeBytes: BigInt('39000000000'),
    parameterCount: '70B',
    runtime: 'OLLAMA',
    ollamaName: 'wizard-math:70b',
    sourceUrl: 'https://registry.ollama.com/library/wizard-math',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'wizard-math',
    tag: '7b',
    displayName: 'Wizard Math 7B',
    category: 'GENERAL',
    description: 'Model focused on math and logic problems',
    sizeBytes: BigInt('4100000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'wizard-math:7b',
    sourceUrl: 'https://registry.ollama.com/library/wizard-math',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'wizard-math',
    tag: 'latest',
    displayName: 'Wizard Math',
    category: 'GENERAL',
    description: 'Model focused on math and logic problems',
    sizeBytes: BigInt('4100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'wizard-math:latest',
    sourceUrl: 'https://registry.ollama.com/library/wizard-math',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'wizard-vicuna',
    tag: '13b',
    displayName: 'Wizard Vicuna 13B',
    category: 'GENERAL',
    description:
      'Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: '13B',
    runtime: 'OLLAMA',
    ollamaName: 'wizard-vicuna:13b',
    sourceUrl: 'https://registry.ollama.com/library/wizard-vicuna',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'wizard-vicuna',
    tag: 'latest',
    displayName: 'Wizard Vicuna',
    category: 'GENERAL',
    description:
      'Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'wizard-vicuna:latest',
    sourceUrl: 'https://registry.ollama.com/library/wizard-vicuna',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'wizard-vicuna-uncensored',
    tag: '13b',
    displayName: 'Wizard Vicuna Uncensored 13B',
    category: 'GENERAL',
    description:
      'Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: '13B',
    runtime: 'OLLAMA',
    ollamaName: 'wizard-vicuna-uncensored:13b',
    sourceUrl: 'https://registry.ollama.com/library/wizard-vicuna-uncensored',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'wizard-vicuna-uncensored',
    tag: '30b',
    displayName: 'Wizard Vicuna Uncensored 30B',
    category: 'GENERAL',
    description:
      'Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford.',
    sizeBytes: BigInt('18000000000'),
    parameterCount: '30B',
    runtime: 'OLLAMA',
    ollamaName: 'wizard-vicuna-uncensored:30b',
    sourceUrl: 'https://registry.ollama.com/library/wizard-vicuna-uncensored',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'wizard-vicuna-uncensored',
    tag: '7b',
    displayName: 'Wizard Vicuna Uncensored 7B',
    category: 'GENERAL',
    description:
      'Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'wizard-vicuna-uncensored:7b',
    sourceUrl: 'https://registry.ollama.com/library/wizard-vicuna-uncensored',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'wizard-vicuna-uncensored',
    tag: 'latest',
    displayName: 'Wizard Vicuna Uncensored',
    category: 'GENERAL',
    description:
      'Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'wizard-vicuna-uncensored:latest',
    sourceUrl: 'https://registry.ollama.com/library/wizard-vicuna-uncensored',
    isRecommended: true,
    capabilities: [],
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  {
    name: 'wizardcoder',
    tag: '33b',
    displayName: 'Wizardcoder 33B',
    category: 'CODING',
    description: 'State-of-the-art code generation model',
    sizeBytes: BigInt('19000000000'),
    parameterCount: '33B',
    runtime: 'OLLAMA',
    ollamaName: 'wizardcoder:33b',
    sourceUrl: 'https://registry.ollama.com/library/wizardcoder',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'wizardcoder',
    tag: 'latest',
    displayName: 'Wizardcoder',
    category: 'CODING',
    description: 'State-of-the-art code generation model',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'wizardcoder:latest',
    sourceUrl: 'https://registry.ollama.com/library/wizardcoder',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'wizardlm-uncensored',
    tag: '13b',
    displayName: 'Wizardlm Uncensored 13B',
    category: 'GENERAL',
    description: 'Uncensored version of Wizard LM model',
    sizeBytes: BigInt('7400000000'),
    parameterCount: '13B',
    runtime: 'OLLAMA',
    ollamaName: 'wizardlm-uncensored:13b',
    sourceUrl: 'https://registry.ollama.com/library/wizardlm-uncensored',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'wizardlm-uncensored',
    tag: 'latest',
    displayName: 'Wizardlm Uncensored',
    category: 'GENERAL',
    description: 'Uncensored version of Wizard LM model',
    sizeBytes: BigInt('7400000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'wizardlm-uncensored:latest',
    sourceUrl: 'https://registry.ollama.com/library/wizardlm-uncensored',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'wizardlm2',
    tag: '7b',
    displayName: 'Wizardlm2 7B',
    category: 'AGENT',
    description:
      'State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'wizardlm2:7b',
    sourceUrl: 'https://registry.ollama.com/library/wizardlm2',
    isRecommended: false,
    capabilities: [],
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  {
    name: 'wizardlm2',
    tag: 'latest',
    displayName: 'Wizardlm2',
    category: 'AGENT',
    description:
      'State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'wizardlm2:latest',
    sourceUrl: 'https://registry.ollama.com/library/wizardlm2',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'xwinlm',
    tag: '13b',
    displayName: 'Xwinlm 13B',
    category: 'GENERAL',
    description:
      'Conversational model based on Llama 2 that performs competitively on various benchmarks.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: '13B',
    runtime: 'OLLAMA',
    ollamaName: 'xwinlm:13b',
    sourceUrl: 'https://registry.ollama.com/library/xwinlm',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'xwinlm',
    tag: '7b',
    displayName: 'Xwinlm 7B',
    category: 'GENERAL',
    description:
      'Conversational model based on Llama 2 that performs competitively on various benchmarks.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'xwinlm:7b',
    sourceUrl: 'https://registry.ollama.com/library/xwinlm',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'xwinlm',
    tag: 'latest',
    displayName: 'Xwinlm',
    category: 'GENERAL',
    description:
      'Conversational model based on Llama 2 that performs competitively on various benchmarks.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'xwinlm:latest',
    sourceUrl: 'https://registry.ollama.com/library/xwinlm',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'yarn-llama2',
    tag: '13b',
    displayName: 'Yarn Llama2 13B',
    category: 'GENERAL',
    description: 'An extension of Llama 2 that supports a context of up to 128k tokens.',
    sizeBytes: BigInt('7400000000'),
    parameterCount: '13B',
    runtime: 'OLLAMA',
    ollamaName: 'yarn-llama2:13b',
    sourceUrl: 'https://registry.ollama.com/library/yarn-llama2',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'yarn-llama2',
    tag: '7b',
    displayName: 'Yarn Llama2 7B',
    category: 'GENERAL',
    description: 'An extension of Llama 2 that supports a context of up to 128k tokens.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'yarn-llama2:7b',
    sourceUrl: 'https://registry.ollama.com/library/yarn-llama2',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'yarn-llama2',
    tag: 'latest',
    displayName: 'Yarn Llama2',
    category: 'GENERAL',
    description: 'An extension of Llama 2 that supports a context of up to 128k tokens.',
    sizeBytes: BigInt('3800000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'yarn-llama2:latest',
    sourceUrl: 'https://registry.ollama.com/library/yarn-llama2',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'yarn-mistral',
    tag: '7b',
    displayName: 'Yarn Mistral 7B',
    category: 'GENERAL',
    description: 'An extension of Mistral to support context windows of 64K or 128K.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'yarn-mistral:7b',
    sourceUrl: 'https://registry.ollama.com/library/yarn-mistral',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'yarn-mistral',
    tag: 'latest',
    displayName: 'Yarn Mistral',
    category: 'GENERAL',
    description: 'An extension of Mistral to support context windows of 64K or 128K.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'yarn-mistral:latest',
    sourceUrl: 'https://registry.ollama.com/library/yarn-mistral',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'yi',
    tag: '34b',
    displayName: 'Yi 34B',
    category: 'GENERAL',
    description: 'Yi 1.5 is a high-performing, bilingual language model.',
    sizeBytes: BigInt('19000000000'),
    parameterCount: '34B',
    runtime: 'OLLAMA',
    ollamaName: 'yi:34b',
    sourceUrl: 'https://registry.ollama.com/library/yi',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'yi',
    tag: '6b',
    displayName: 'Yi 6B',
    category: 'GENERAL',
    description: 'Yi 1.5 is a high-performing, bilingual language model.',
    sizeBytes: BigInt('3500000000'),
    parameterCount: '6B',
    runtime: 'OLLAMA',
    ollamaName: 'yi:6b',
    sourceUrl: 'https://registry.ollama.com/library/yi',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'yi',
    tag: '9b',
    displayName: 'Yi 9B',
    category: 'GENERAL',
    description: 'Yi 1.5 is a high-performing, bilingual language model.',
    sizeBytes: BigInt('5000000000'),
    parameterCount: '9B',
    runtime: 'OLLAMA',
    ollamaName: 'yi:9b',
    sourceUrl: 'https://registry.ollama.com/library/yi',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'yi',
    tag: 'latest',
    displayName: 'Yi',
    category: 'GENERAL',
    description: 'Yi 1.5 is a high-performing, bilingual language model.',
    sizeBytes: BigInt('3500000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'yi:latest',
    sourceUrl: 'https://registry.ollama.com/library/yi',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'yi-coder',
    tag: '1.5b',
    displayName: 'Yi Coder 1.5B',
    category: 'CODING',
    description:
      'Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.',
    sizeBytes: null,
    parameterCount: '1.5B',
    runtime: 'OLLAMA',
    ollamaName: 'yi-coder:1.5b',
    sourceUrl: 'https://registry.ollama.com/library/yi-coder',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'yi-coder',
    tag: '9b',
    displayName: 'Yi Coder 9B',
    category: 'CODING',
    description:
      'Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.',
    sizeBytes: BigInt('5000000000'),
    parameterCount: '9B',
    runtime: 'OLLAMA',
    ollamaName: 'yi-coder:9b',
    sourceUrl: 'https://registry.ollama.com/library/yi-coder',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'yi-coder',
    tag: 'latest',
    displayName: 'Yi Coder',
    category: 'CODING',
    description:
      'Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.',
    sizeBytes: BigInt('5000000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'yi-coder:latest',
    sourceUrl: 'https://registry.ollama.com/library/yi-coder',
    isRecommended: true,
    capabilities: [],
  },
  {
    name: 'zephyr',
    tag: '141b',
    displayName: 'Zephyr 141B',
    category: 'GENERAL',
    description:
      'Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants.',
    sizeBytes: BigInt('80000000000'),
    parameterCount: '141B',
    runtime: 'OLLAMA',
    ollamaName: 'zephyr:141b',
    sourceUrl: 'https://registry.ollama.com/library/zephyr',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'zephyr',
    tag: '7b',
    displayName: 'Zephyr 7B',
    category: 'GENERAL',
    description:
      'Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: '7B',
    runtime: 'OLLAMA',
    ollamaName: 'zephyr:7b',
    sourceUrl: 'https://registry.ollama.com/library/zephyr',
    isRecommended: false,
    capabilities: [],
  },
  {
    name: 'zephyr',
    tag: 'latest',
    displayName: 'Zephyr',
    category: 'GENERAL',
    description:
      'Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants.',
    sizeBytes: BigInt('4100000000'),
    parameterCount: null,
    runtime: 'OLLAMA',
    ollamaName: 'zephyr:latest',
    sourceUrl: 'https://registry.ollama.com/library/zephyr',
    isRecommended: true,
    capabilities: [],
  },
] as const;
