Model CoverageLarge Language Models (LLMs)

Nemotron-Flash

View as Markdown

NVIDIA Nemotron-Flash is a compact, fast language model designed for low-latency inference workloads.

This model requires trust_remote_code: true in your recipe YAML.

TaskText Generation
ArchitectureNemotronFlashForCausalLM
Parameters1B
HF Orgnvidia

Available Models

  • Nemotron-Flash-1B: 1B parameters

Architecture

  • NemotronFlashForCausalLM

Example HF Models

ModelHF ID
Nemotron-Flash 1Bnvidia/Nemotron-Flash-1B

Example Recipes

RecipeDescription
nemotron_flash_1b_squad.yamlSFT — Nemotron-Flash 1B on SQuAD
nemotron_flash_1b_squad_peft.yamlLoRA — Nemotron-Flash 1B 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/nemotron_flash/nemotron_flash_1b_squad.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:26.04.00

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/nemotron_flash/nemotron_flash_1b_squad.yaml

See the Installation Guide and LLM Fine-Tuning Guide.

Fine-Tuning

See the LLM Fine-Tuning Guide.

Hugging Face Model Cards