---
license: llama3
library_name: peft
tags:
- alignment-handbook
- trl
- orpo
- generated_from_trainer
- llama-cpp
- gguf-my-lora
base_model: statking/Meta-Llama-3-8B-Instruct-ORPO-QLoRA
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: Meta-Llama-3-8B-Instruct-ORPO-QLoRA
  results: []
---

# wuqiqi/Meta-Llama-3-8B-Instruct-ORPO-QLoRA-F16-GGUF
This LoRA adapter was converted to GGUF format from [`statking/Meta-Llama-3-8B-Instruct-ORPO-QLoRA`](https://huggingface.co/statking/Meta-Llama-3-8B-Instruct-ORPO-QLoRA) 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/statking/Meta-Llama-3-8B-Instruct-ORPO-QLoRA) for more details.

## Use with llama.cpp

```bash
# with cli
llama-cli -m base_model.gguf --lora Meta-Llama-3-8B-Instruct-ORPO-QLoRA-f16.gguf (...other args)

# with server
llama-server -m base_model.gguf --lora Meta-Llama-3-8B-Instruct-ORPO-QLoRA-f16.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).