alignment-handbook/recipes/smollm

Instructions to train SmolLM-Instruct

We build the SmolLM-Instruct (v0.2) models (135M, 360M and 1.7B) by doing SFT on a mix of these datasets:

• a dataset of 2k simple everyday conversations we generated by llama3.1-70B everyday-conversations-llama3.1-2k
• Magpie-Pro-300K-Filtered
• StarCoder2-Self-OSS-Instruct
• A small subset of OpenHermes-2.5

Setup

Follow the installation instructions in https://github.com/huggingface/alignment-handbook/tree/main?tab=readme-ov-file#installation-instructions

Training

We train the models on 8 GPUs using the following command:

ACCELERATE_LOG_LEVEL=info accelerate launch --config_file recipes/accelerate_configs/deepspeed_zero3.yaml scripts/run_sft.py recipes/smollm/sft/config.yaml