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# Nemotron-Flash

[NVIDIA Nemotron-Flash](https://huggingface.co/nvidia/Nemotron-Flash-1B) is a compact, fast language model designed for low-latency inference workloads.

> **Note**
>
> This model requires `trust_remote_code: true` in your recipe YAML.

> **Info**
>
> |                  |                                         |
> | ---------------- | --------------------------------------- |
> | **Task**         | Text Generation                         |
> | **Architecture** | `NemotronFlashForCausalLM`              |
> | **Parameters**   | 1B                                      |
> | **HF Org**       | [nvidia](https://huggingface.co/nvidia) |

## Available Models

* **Nemotron-Flash-1B**: 1B parameters

## Architecture

* `NemotronFlashForCausalLM`

## Example HF Models

| Model             | HF ID                                                                         |
| ----------------- | ----------------------------------------------------------------------------- |
| Nemotron-Flash 1B | [`nvidia/Nemotron-Flash-1B`](https://huggingface.co/nvidia/Nemotron-Flash-1B) |

## Example Recipes

| Recipe                                                                                                                                                             | Description                       |
| ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------- |
| [nemotron\_flash\_1b\_squad.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/nemotron_flash/nemotron_flash_1b_squad.yaml)            | SFT — Nemotron-Flash 1B on SQuAD  |
| [nemotron\_flash\_1b\_squad\_peft.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/nemotron_flash/nemotron_flash_1b_squad_peft.yaml) | LoRA — Nemotron-Flash 1B 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/nemotron_flash/nemotron_flash_1b_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/nemotron_flash/nemotron_flash_1b_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

* [nvidia/Nemotron-Flash-1B](https://huggingface.co/nvidia/Nemotron-Flash-1B)