---
title: "GLM-4 MoE (GLM-4.5 / GLM-4.7)"
description: ""
---
[GLM-4.5 and GLM-4.7](https://huggingface.co/zai-org) are Mixture-of-Experts variants of the GLM family released under the `zai-org` HuggingFace organization. GLM-4.7-Flash is a lighter variant with fewer active parameters.

<Info>

| | |
|---|---|
| **Task** | Text Generation (MoE) |
| **Architecture** | `Glm4MoeForCausalLM` / `Glm4MoeLiteForCausalLM` |
| **Parameters** | varies |
| **HF Org** | [zai-org](https://huggingface.co/zai-org) |

</Info>

## Available Models

- **GLM-4.5-Air** (`Glm4MoeForCausalLM`)
- **GLM-4.7** (`Glm4MoeForCausalLM`)
- **GLM-4.7-Flash** (`Glm4MoeLiteForCausalLM`): lightweight MoE variant

## Architectures

- `Glm4MoeForCausalLM` — GLM-4.5, GLM-4.7
- `Glm4MoeLiteForCausalLM` — GLM-4.7-Flash

## Example HF Models

| Model | HF ID |
|---|---|
| GLM-4.5-Air | [`zai-org/GLM-4.5-Air`](https://huggingface.co/zai-org/GLM-4.5-Air) |
| GLM-4.7 | [`zai-org/GLM-4.7`](https://huggingface.co/zai-org/GLM-4.7) |
| GLM-4.7-Flash | [`zai-org/GLM-4.7-Flash`](https://huggingface.co/zai-org/GLM-4.7-Flash) |

## Example Recipes

| Recipe | Description |
|---|---|
| [glm_4.5_air_te_deepep.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/glm/glm_4.5_air_te_deepep.yaml) | SFT — GLM-4.5-Air with TE + DeepEP |
| [glm_4.7_te_deepep.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/glm/glm_4.7_te_deepep.yaml) | SFT — GLM-4.7 with TE + DeepEP |
| [glm_4.7_flash_te_deepep.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/glm/glm_4.7_flash_te_deepep.yaml) | SFT — GLM-4.7-Flash with TE + DeepEP |
| [glm_4.7_flash_te_packed_sequence.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/glm/glm_4.7_flash_te_packed_sequence.yaml) | SFT — GLM-4.7-Flash with packed sequences |

## Try with NeMo AutoModel

**1. Install** ([full instructions](/get-started/installation)):

```bash
pip install nemo-automodel
```

**2. Clone the repo** to get the example recipes:

```bash
git clone https://github.com/NVIDIA-NeMo/Automodel.git
cd Automodel
```

<Note>
This recipe was validated on **8 nodes × 8 GPUs (64 H100s)**. See the [Launcher Guide](/job-launchers/slurm-cluster) for multi-node setup.

</Note>

**3. Run the recipe** from inside the repo:

```bash
automodel --nproc-per-node=8 examples/llm_finetune/glm/glm_4.5_air_te_deepep.yaml
```

<Accordion title="Run with Docker">
**1. Pull the container** and mount a checkpoint directory:

```bash
docker run --gpus all -it --rm \
  --shm-size=8g \
  -v $(pwd)/checkpoints:/opt/Automodel/checkpoints \
  nvcr.io/nvidia/nemo-automodel:26.02.00
```

**2.** Navigate to the AutoModel directory (where the recipes are):

```bash
cd /opt/Automodel
```

**3. Run the recipe**:

```bash
automodel --nproc-per-node=8 examples/llm_finetune/glm/glm_4.5_air_te_deepep.yaml
```
</Accordion>

See the [Installation Guide](/get-started/installation) and [LLM Fine-Tuning Guide](/recipes-e2e-examples/sft-peft).

## Fine-Tuning

See the [LLM Fine-Tuning Guide](/recipes-e2e-examples/sft-peft) and the [Large MoE Fine-Tuning Guide](/recipes-e2e-examples/large-moe-fine-tuning).

## Hugging Face Model Cards

- [zai-org/GLM-4.5-Air](https://huggingface.co/zai-org/GLM-4.5-Air)
- [zai-org/GLM-4.7](https://huggingface.co/zai-org/GLM-4.7)
- [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash)
