Model CoverageLarge Language Models

Granite

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IBM Granite is IBM’s family of enterprise-focused language models. Granite 3.x models are trained on a mix of code and language data and are optimized for enterprise tasks including summarization, classification, and RAG. PowerLM (IBM Research) also uses this architecture.

TaskText Generation
ArchitectureGraniteForCausalLM
Parameters2B – 8B
HF Orgibm-granite

Available Models

  • Granite 3.3 2B Instruct
  • Granite 3.1 8B Instruct
  • Granite 3.0 2B Base
  • PowerLM-3B (IBM Research)

Architecture

  • GraniteForCausalLM

Example HF Models

ModelHF ID
Granite 3.0 2B Baseibm-granite/granite-3.0-2b-base
Granite 3.1 8B Instructibm-granite/granite-3.1-8b-instruct
PowerLM 3Bibm/PowerLM-3b

Example Recipes

RecipeDescription
granite_3_3_2b_instruct_squad.yamlSFT — Granite 3.3 2B Instruct on SQuAD
granite_3_3_2b_instruct_squad_peft.yamlLoRA — Granite 3.3 2B 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/granite/granite_3_3_2b_instruct_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:26.06.00

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/granite/granite_3_3_2b_instruct_squad.yaml

See the Installation Guide and LLM Fine-Tuning Guide.

Fine-Tuning

See the LLM Fine-Tuning Guide.

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