OLMo2#

OLMo2 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

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

OLMo2 0425 1B Instruct

allenai/OLMo2-0425-1B-Instruct

Example Recipes#

Recipe

Description

olmo_2_0425_1b_instruct_squad.yaml

SFT — OLMo2 0425 1B Instruct on SQuAD

olmo_2_0425_1b_instruct_squad_peft.yaml

LoRA — OLMo2 0425 1B Instruct on SQuAD

Try with NeMo AutoModel#

1. Install (full instructions):

pip install nemo-automodel

2. Clone the repo to get the example recipes:

git clone https://github.com/NVIDIA-NeMo/Automodel.git
cd Automodel

3. Run the recipe from inside the repo:

automodel --nproc-per-node=8 examples/llm_finetune/olmo/olmo_2_0425_1b_instruct_squad.yaml
Run with Docker

1. Pull the container and mount a checkpoint directory:

docker run --gpus all -it --rm \
  --shm-size=8g \
  -v $(pwd)/checkpoints:/opt/Automodel/checkpoints \
  nvcr.io/nvidia/nemo-automodel:26.02.00

2. Navigate to the AutoModel directory (where the recipes are):

cd /opt/Automodel

3. Run the recipe:

automodel --nproc-per-node=8 examples/llm_finetune/olmo/olmo_2_0425_1b_instruct_squad.yaml

See the Installation Guide and LLM Fine-Tuning Guide.

Fine-Tuning#

See the LLM Fine-Tuning Guide.

Hugging Face Model Cards#