Instructions to use Ishan93/Llama-3.1-8B-MetaMathQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use Ishan93/Llama-3.1-8B-MetaMathQA with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
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 Ishan93/Llama-3.1-8B-MetaMathQA to start chatting
Install Unsloth Studio (Windows)
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 Ishan93/Llama-3.1-8B-MetaMathQA to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Ishan93/Llama-3.1-8B-MetaMathQA to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Ishan93/Llama-3.1-8B-MetaMathQA", max_seq_length=2048, )
About the codebase
#1
by sglucas - opened
May I ask the codebase of fine-tuning LLaMA3 and Qwen? Thank you for your contribution.
Yeah sure, I used Unsloth for the task. You can refer to their article from here:
https://docs.unsloth.ai/get-started/fine-tuning-llms-guide
They also provide notebooks for the same. As for me I just followed their notebook and tried to understand what each snippet exactly does