Instructions to use Varadrajan/llama-3.1-8b-alpaca-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use Varadrajan/llama-3.1-8b-alpaca-finetuned 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 Varadrajan/llama-3.1-8b-alpaca-finetuned 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 Varadrajan/llama-3.1-8b-alpaca-finetuned to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Varadrajan/llama-3.1-8b-alpaca-finetuned to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Varadrajan/llama-3.1-8b-alpaca-finetuned", max_seq_length=2048, )
- Xet hash:
- d413ea030df523e7ef412b0e68a0f53675de43c846b761cd517154b2706eb323
- Size of remote file:
- 168 MB
- SHA256:
- 9b94a4f79cee18180d0277eed7f775f358ee48274dc18a0e2767422018b65b9e
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