GPT-OSS#

GPT-OSS is OpenAI’s open-weight model family featuring QuickGELU activations and activation clamping for training stability.

Task

Text Generation

Architecture

GptOssForCausalLM

Parameters

20B – 120B

HF Org

openai

Available Models#

  • gpt-oss-20b: 20B parameters

  • gpt-oss-120b: 120B parameters

Architecture#

  • GptOssForCausalLM

Example HF Models#

Model

HF ID

GPT-OSS 20B

openai/gpt-oss-20b

GPT-OSS 120B

openai/gpt-oss-120b

Example Recipes#

Recipe

Description

gpt_oss_20b.yaml

SFT — GPT-OSS 20B

gpt_oss_120b.yaml

SFT — GPT-OSS 120B

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/gpt_oss/gpt_oss_20b.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/gpt_oss/gpt_oss_20b.yaml

See the Installation Guide and LLM Fine-Tuning Guide.

Fine-Tuning#

See the LLM Fine-Tuning Guide.

Hugging Face Model Cards#