经 AI Skill Hub 精选评估,奥拉玛云模型 获评「强烈推荐」。这款AI工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。
奥拉玛云模型 是一款基于 Python 开发的开源工具,专注于 ai、awesome-list、benchmarks 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
奥拉玛云模型 是一款基于 Python 开发的开源工具,专注于 ai、awesome-list、benchmarks 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 克隆仓库 git clone https://github.com/RedBeret/awesome-ollama-models cd awesome-ollama-models # 查看安装说明 cat README.md # 按 README 完成环境依赖安装后即可使用
# 查看帮助 awesome-ollama-models --help # 基本运行 awesome-ollama-models [options] <input> # 详细使用说明请查阅文档 # https://github.com/RedBeret/awesome-ollama-models
# awesome-ollama-models 配置说明 # 查看配置选项 awesome-ollama-models --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export AWESOME_OLLAMA_MODELS_CONFIG="/path/to/config.yml"
Curated guide to Ollama local and cloud models, including plan limits, usage levels and model lifecycle status
Last verified: July 12, 2026
Ollama can run open models on your hardware or offload supported :cloud models to Ollama-managed infrastructure. Local execution does not consume Ollama Cloud usage. Cloud access is available through Free, Pro and Max plans.
[!IMPORTANT] Ollama does not publish a stable model-by-model Free versus paid entitlement table. Model pages publish a relative cloud usage level instead. This guide separates official plan facts from practical model guidance so it does not present inferred access as a guarantee.
Install Ollama, then sign in for cloud access:
ollama signin
Run a cloud model:
ollama run qwen3.5:cloud "Explain Kubernetes admission control"
Run a local model without consuming cloud usage:
ollama run qwen3.5:9b "Format this JSON"
| Task | Lower-usage choice | Higher-capability choice |
|---|---|---|
| General work | qwen3.5:cloud | kimi-k2.5:cloud |
| Lightweight tasks | gpt-oss:20b-cloud | gpt-oss:120b-cloud |
| Coding assistant | minimax-m2.7:cloud | kimi-k2.7-code:cloud |
| Deep reasoning | deepseek-v4-flash:cloud | deepseek-v4-pro:cloud |
| Long documents | deepseek-v4-flash:cloud | glm-5.2:cloud |
| Images and screenshots | gemma4:cloud | minimax-m3:cloud |
| Multi-agent automation | nemotron-3-super:cloud | nemotron-3-ultra:cloud |
Use a cloud tag through the local Ollama endpoint:
curl --fail-with-body --silent --show-error \
--connect-timeout 10 \
--max-time 120 \
http://localhost:11434/api/chat \
-H 'Content-Type: application/json' \
-d '{
"model": "qwen3.5:cloud",
"messages": [{"role": "user", "content": "Explain Kubernetes admission control"}],
"stream": false
}'
The direct Ollama Cloud API uses the exact model names returned by /api/tags. These names do not use the local :cloud suffix and may include a size tag. Create an API key in your Ollama account, then:
curl --fail-with-body --silent --show-error \
--connect-timeout 10 \
--max-time 120 \
https://ollama.com/api/chat \
-H "Authorization: Bearer ${OLLAMA_API_KEY}" \
-H 'Content-Type: application/json' \
-d '{
"model": "gpt-oss:120b",
"messages": [{"role": "user", "content": "Explain Kubernetes admission control"}],
"stream": false
}'
List models currently exposed by the direct cloud API:
curl --fail-with-body --silent --show-error https://ollama.com/api/tags
See the official cloud API documentation for current authentication and tag conventions.
Cloud models use the same Ollama interfaces as local models.
| Tool | Purpose | Link |
|---|---|---|
| Open WebUI | Browser chat interface | [github.com/open-webui/open-webui](https://github.com/open-webui/open-webui) |
| Continue | VS Code and JetBrains assistant | [continue.dev](https://continue.dev) |
| LangChain | LLM application framework | [python.langchain.com](https://python.langchain.com) |
| LlamaIndex | RAG and data framework | [llamaindex.ai](https://llamaindex.ai) |
| Aider | Terminal coding assistant | [aider.chat](https://aider.chat) |
| ollama-model-router | Route prompts among Ollama models | [github.com/RedBeret/ollama-model-router](https://github.com/RedBeret/ollama-model-router) |
Ollama model pages classify cloud consumption as low, medium, high or extra high usage. These are usage bands, not published plan entitlements.
提供了多种免费的AI模型和基准测试结果,非常有价值
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:奥拉玛云模型 的核心功能完整,质量优秀。对于AI 技术爱好者来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | awesome-ollama-models |
| Topics | aiawesome-listbenchmarkscloudfree |
| GitHub | https://github.com/RedBeret/awesome-ollama-models |
| License | MIT |
收录时间:2026-07-13 · 更新时间:2026-07-13 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。