Instructions to use 4rduino/training-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Desktop
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Download README.md from 4rduino/training-Q8_0-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 831 Bytes
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https://huggingface.co/4rduino/training-Q8_0-GGUF/resolve/main/README.md
- Command line
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hf download hf://4rduino/training-Q8_0-GGUF/README.md
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curl -L -o README.md https://huggingface.co/4rduino/training-Q8_0-GGUF/resolve/main/README.md
831 Bytes
metadata
license: llama3.1
tags:
- unsloth
- llama-cpp
- gguf-my-lora
base_model: 4rduino/training
4rduino/training-Q8_0-GGUF
This LoRA adapter was converted to GGUF format from 4rduino/training 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 training-q8_0.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora training-q8_0.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.