> 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.

# Ling-1T

> Use NeMo AutoModel to fine-tune Ling-1T for LLM workflows with checked-in text generation recipes and documented distributed settings.

[Ling-1T](https://huggingface.co/inclusionAI/Ling-1T) has a checked-in NeMo AutoModel recipe for text generation.
The Hugging Face configuration declares the `BailingMoeV2ForCausalLM` architecture.

## Fine-Tune Ling-1T

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

```bash
automodel examples/llm_finetune/ling/ling_1t_sft.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/ling/ling_1t_sft.yaml). |
| Try another checked-in recipe for this model | Use the [alternate recipe](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/ling/ling_1t_lora_pp.yaml). |

### Configuration

| Setting  | Configuration                                                                                                                               |
| -------- | ------------------------------------------------------------------------------------------------------------------------------------------- |
| Hardware | -                                                                                                                                           |
| Strategy | FSDP2; tp\_size=1, pp\_size=4, cp\_size=1, ep\_size=64                                                                                      |
| Nodes    | 32                                                                                                                                          |
| Features | Checkpointing (enabled=true), Activation checkpointing (activation\_checkpointing=true), Transformer Engine, HybridEP (dispatcher=hybridep) |
| Advanced | bfloat16, attention=sdpa, linear=te, experts=torch\_mm, dispatcher=hybridep                                                                 |

### More Recipes for This Model

* [`ling_1t_lora_pp.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/ling/ling_1t_lora_pp.yaml)

## Model Reference

### Model Architecture

| Property     | Value                     |
| ------------ | ------------------------- |
| Task         | Text generation           |
| Architecture | `BailingMoeV2ForCausalLM` |

### Available Models

* [`inclusionAI/Ling-1T`](https://huggingface.co/inclusionAI/Ling-1T)

## Related Resources

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