Falcon#

Falcon is a series of open language models from the Technology Innovation Institute (TII) in Abu Dhabi, known for being trained on a high-quality curated web corpus (RefinedWeb).

Task

Text Generation

Architecture

FalconForCausalLM

Parameters

7B – 40B

HF Org

tiiuae

Available Models#

  • Falcon-40B, Falcon-40B-Instruct

  • Falcon-7B, Falcon-7B-Instruct

  • Falcon-RW-7B

  • Falcon3-7B-Instruct

Architecture#

  • FalconForCausalLM

Example HF Models#

Model

HF ID

Falcon 7B

tiiuae/falcon-7b

Falcon 40B

tiiuae/falcon-40b

Falcon RW 7B

tiiuae/falcon-rw-7b

Example Recipes#

Recipe

Description

falcon3_7b_instruct_squad.yaml

SFT — Falcon3 7B Instruct on SQuAD

falcon3_7b_instruct_squad_peft.yaml

LoRA — Falcon3 7B 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/falcon/falcon3_7b_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/falcon/falcon3_7b_instruct_squad.yaml

See the Installation Guide and LLM Fine-Tuning Guide.

Fine-Tuning#

See the LLM Fine-Tuning Guide.

Hugging Face Model Cards#