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:26.06.00

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/falcon/falcon3_7b_instruct_squad.yaml

See the Installation Guide and LLM Fine-Tuning Guide.

Fine-Tuning

See the LLM Fine-Tuning Guide.