> 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.
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# Falcon

[Falcon](https://falconllm.tii.ae/) is a series of open language models from the Technology Innovation Institute (TII) in Abu Dhabi, known for being trained on a high-quality curated web corpus (RefinedWeb).

|                  |                                         |
| ---------------- | --------------------------------------- |
| **Task**         | Text Generation                         |
| **Architecture** | `FalconForCausalLM`                     |
| **Parameters**   | 7B – 40B                                |
| **HF Org**       | [tiiuae](https://huggingface.co/tiiuae) |

## Available Models

* **Falcon-40B**, **Falcon-40B-Instruct**
* **Falcon-7B**, **Falcon-7B-Instruct**
* **Falcon-RW-7B**
* **Falcon3-7B-Instruct**

## Architecture

* `FalconForCausalLM`

## Example HF Models

| Model        | HF ID                                                               |
| ------------ | ------------------------------------------------------------------- |
| Falcon 7B    | [`tiiuae/falcon-7b`](https://huggingface.co/tiiuae/falcon-7b)       |
| Falcon 40B   | [`tiiuae/falcon-40b`](https://huggingface.co/tiiuae/falcon-40b)     |
| Falcon RW 7B | [`tiiuae/falcon-rw-7b`](https://huggingface.co/tiiuae/falcon-rw-7b) |

## Example Recipes

| Recipe                                                                                                                                                         | Description                         |
| -------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------- |
| [falcon3\_7b\_instruct\_squad.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/falcon/falcon3_7b_instruct_squad.yaml)            | SFT — Falcon3 7B Instruct on SQuAD  |
| [falcon3\_7b\_instruct\_squad\_peft.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/falcon/falcon3_7b_instruct_squad_peft.yaml) | LoRA — Falcon3 7B Instruct on SQuAD |

## 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/falcon/falcon3_7b_instruct_squad.yaml
```

**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:26.04.00
```

**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/falcon/falcon3_7b_instruct_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

* [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b)
* [tiiuae/falcon-40b](https://huggingface.co/tiiuae/falcon-40b)