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> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/llms.txt.
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# OLMo2

[OLMo2](https://allenai.org/olmo) is Allen AI's second-generation open language model with improved architecture and training, including RMSNorm and rotary position embeddings.

|                  |                                           |
| ---------------- | ----------------------------------------- |
| **Task**         | Text Generation                           |
| **Architecture** | `OLMo2ForCausalLM`                        |
| **Parameters**   | 1B – 13B                                  |
| **HF Org**       | [allenai](https://huggingface.co/allenai) |

## Available Models

* **OLMo2-0425-1B-Instruct**
* **OLMo2-7B-1124**
* **OLMo2-13B-1124**

## Architecture

* `OLMo2ForCausalLM`

## Example HF Models

| Model                  | HF ID                                                                                     |
| ---------------------- | ----------------------------------------------------------------------------------------- |
| OLMo2 7B               | [`allenai/OLMo2-7B-1124`](https://huggingface.co/allenai/OLMo2-7B-1124)                   |
| OLMo2 0425 1B Instruct | [`allenai/OLMo2-0425-1B-Instruct`](https://huggingface.co/allenai/OLMo2-0425-1B-Instruct) |

## Example Recipes

| Recipe                                                                                                                                                                 | Description                            |
| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------- |
| [olmo\_2\_0425\_1b\_instruct\_squad.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/olmo/olmo_2_0425_1b_instruct_squad.yaml)            | SFT — OLMo2 0425 1B Instruct on SQuAD  |
| [olmo\_2\_0425\_1b\_instruct\_squad\_peft.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/olmo/olmo_2_0425_1b_instruct_squad_peft.yaml) | LoRA — OLMo2 0425 1B 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/olmo/olmo_2_0425_1b_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/olmo/olmo_2_0425_1b_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

* [allenai/OLMo2-7B-1124](https://huggingface.co/allenai/OLMo2-7B-1124)