Instructions to use Hoaqim/lora_model-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hoaqim/lora_model-Q8_0-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hoaqim/lora_model-Q8_0-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Hoaqim/lora_model-Q8_0-GGUF
This LoRA adapter was converted to GGUF format from Hoaqim/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 lora_model-q8_0.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora lora_model-q8_0.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
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Model tree for Hoaqim/lora_model-Q8_0-GGUF
Base model
meta-llama/Meta-Llama-3-8B Quantized
unsloth/llama-3-8b-bnb-4bit Quantized
Hoaqim/lora_model