Model CoverageLarge Language Models

GPT-OSS

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

TaskText Generation
ArchitectureGptOssForCausalLM
Parameters20B – 120B
HF Orgopenai

Available Models

  • gpt-oss-20b: 20B parameters
  • gpt-oss-120b: 120B parameters

Architecture

  • GptOssForCausalLM

Example HF Models

ModelHF ID
GPT-OSS 20Bopenai/gpt-oss-20b
GPT-OSS 120Bopenai/gpt-oss-120b

Example Recipes

RecipeDescription
gpt_oss_20b.yamlSFT — GPT-OSS 20B
gpt_oss_120b.yamlSFT — 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

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:26.06.00

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.

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