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
|
Download README.md from 4rduino/training-Q8_0-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 831 Bytes
-
https://huggingface.co/4rduino/training-Q8_0-GGUF/resolve/main/README.md
- Command line
-
hf download hf://4rduino/training-Q8_0-GGUF/README.md
-
curl -L -o README.md https://huggingface.co/4rduino/training-Q8_0-GGUF/resolve/main/README.md
831 Bytes
| 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`](https://huggingface.co/4rduino/training) via the ggml.ai's [GGUF-my-lora](https://huggingface.co/spaces/ggml-org/gguf-my-lora) space. | |
| Refer to the [original adapter repository](https://huggingface.co/4rduino/training) for more details. | |
| ## Use with llama.cpp | |
| ```bash | |
| # 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](https://github.com/ggerganov/llama.cpp/blob/master/examples/server/README.md). | |