Smol-reason
Collection
My first ever usage of GRPO fine tuning techniques, information learned from this model will be used on future Andy models. • 6 items • Updated
How to use Sweaterdog/Smol-reason-LoRA with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Sweaterdog/Smol-reason-LoRA to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Sweaterdog/Smol-reason-LoRA to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Sweaterdog/Smol-reason-LoRA to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="Sweaterdog/Smol-reason-LoRA",
max_seq_length=2048,
)When making the Andy series of models, I have been using PPO techniques to train models.
But as the bleeding edge of small models is becoming clear, reasoning models are the winners.
So, in order to learn the nuances of training models, I decided to train a small 3B model using GRPO techniques instead of PPO.
This LoRA was made so others can train off of this GPRO model, and can be used for any purpose.