> This page is for version 0.5.0 · 26.06.
> For other versions, use one of these documentation indexes:
> - Nightly (default): https://docs.nvidia.com/nemo/automodel/nightly/llms.txt
> - Latest: https://docs.nvidia.com/nemo/automodel/latest/llms.txt
> - 0.5.0 · 26.06: https://docs.nvidia.com/nemo/automodel/v0.5/llms.txt
> - 0.4.0 · 26.04: https://docs.nvidia.com/nemo/automodel/v0.4/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/automodel/_mcp/server.

# GLM-4

[GLM-4](https://github.com/zai-org/GLM-4) is Zhipu AI's fourth-generation General Language Model, featuring strong multilingual capabilities and tool-use support.

> **Info**
>
> |                  |                                           |
> | ---------------- | ----------------------------------------- |
> | **Task**         | Text Generation                           |
> | **Architecture** | `GlmForCausalLM` / `Glm4ForCausalLM`      |
> | **Parameters**   | 9B – 32B                                  |
> | **HF Org**       | [zai-org](https://huggingface.co/zai-org) |

## Available Models

* **GLM-4-9B-Chat-HF** (`GlmForCausalLM`): 9B
* **GLM-4-32B-0414** (`Glm4ForCausalLM`): 32B

## Architectures

* `GlmForCausalLM` — GLM-4 series
* `Glm4ForCausalLM` — GLM-4-0414 series

## Example HF Models

| Model            | HF ID                                                                         |
| ---------------- | ----------------------------------------------------------------------------- |
| GLM-4-9B-Chat-HF | [`zai-org/glm-4-9b-chat-hf`](https://huggingface.co/zai-org/glm-4-9b-chat-hf) |
| GLM-4-32B-0414   | [`zai-org/GLM-4-32B-0414`](https://huggingface.co/zai-org/GLM-4-32B-0414)     |

## Example Recipes

| Recipe                                                                                                                                                        | Description                          |
| ------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
| [glm\_4\_9b\_chat\_hf\_squad.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/glm/glm_4_9b_chat_hf_squad.yaml)                  | SFT — GLM-4 9B on SQuAD              |
| [glm\_4\_9b\_chat\_hf\_hellaswag\_fp8.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/glm/glm_4_9b_chat_hf_hellaswag_fp8.yaml) | SFT — GLM-4 9B on HellaSwag with FP8 |

## 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
```

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

```bash
automodel --nproc-per-node=8 examples/llm_finetune/glm/glm_4_9b_chat_hf_squad.yaml
```

#### 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:26.06.00
```

**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_9b_chat_hf_squad.yaml
```

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).

## Hugging Face Model Cards

* [zai-org/glm-4-9b-chat-hf](https://huggingface.co/zai-org/glm-4-9b-chat-hf)
* [zai-org/GLM-4-32B-0414](https://huggingface.co/zai-org/GLM-4-32B-0414)