How to use from
Unsloth StudioInstall 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 Leejy0-0/Llama-3.2-3b-lora_model-F16-GGUF to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Leejy0-0/Llama-3.2-3b-lora_model-F16-GGUF to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="Leejy0-0/Llama-3.2-3b-lora_model-F16-GGUF",
max_seq_length=2048,
)Quick Links
Leejy0-0/Llama-3.2-3b-lora_model-F16-GGUF
This LoRA adapter was converted to GGUF format from bunnycore/Llama-3.2-3b-lora_model via the ggml.ai's GGUF-my-lora space.
Refer to the original adapter repository for more details.
Use with llama.cpp
# with cli
llama-cli -m base_model.gguf --lora Llama-3.2-3b-lora_model-f16.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora Llama-3.2-3b-lora_model-f16.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
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Base model
bunnycore/Llama-3.2-3b-lora_model
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Leejy0-0/Llama-3.2-3b-lora_model-F16-GGUF to start chatting