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# GLM-4.7

> Use NeMo AutoModel to fine-tune GLM-4.7 for LLM workflows with checked-in text generation recipes and documented distributed settings.

[GLM-4.7](https://huggingface.co/zai-org/GLM-4.7) has a checked-in NeMo AutoModel recipe for text generation.
The Hugging Face configuration declares the `Glm4MoeForCausalLM` architecture.

## Fine-Tune GLM-4.7

Follow the [installation instructions](/get-started/installation), then run the recipe from the repository root:

```bash
automodel examples/llm_finetune/glm/glm_4.7_te_deepep.yaml --nproc-per-node 8
```

Use the [Slurm launcher guide](/job-launchers/slurm-cluster) for the multi-node run.

## Choose a Workflow

| Goal                                         | Start Here                                                                                                                           |
| -------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |
| Run the primary recipe for this model        | Use the [recipe configuration](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/glm/glm_4.7_te_deepep.yaml). |
| Try another checked-in recipe for this model | Use the [alternate recipe](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/glm/glm47_lora.yaml).           |

### Configuration

| Setting  | Configuration                                          |
| -------- | ------------------------------------------------------ |
| Hardware | -                                                      |
| Strategy | FSDP2; tp\_size=1, pp\_size=4, cp\_size=1, ep\_size=32 |
| Nodes    | 16                                                     |
| Features | HybridEP (dispatcher=hybridep)                         |
| Advanced | dispatcher=hybridep                                    |

### More Recipes for This Model

* [`glm47_lora.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/glm/glm47_lora.yaml)
* [`glm_4.7_flash_lora.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/glm/glm_4.7_flash_lora.yaml)
* [`glm_4.7_flash_te_deepep.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/glm/glm_4.7_flash_te_deepep.yaml)
* [`glm_4.7_flash_te_deepep_lora.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/glm/glm_4.7_flash_te_deepep_lora.yaml)
* [`glm_4.7_te_deepep.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/glm/glm_4.7_te_deepep.yaml)
* [`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)
* [`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)

## Model Reference

### Model Architecture

| Property     | Value                |
| ------------ | -------------------- |
| Task         | Text generation      |
| Architecture | `Glm4MoeForCausalLM` |

### Available Models

* [`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)

## Related Resources

* [LLM fine-tuning guide](/recipes-e2e-examples/sft-peft)