Instructions to use Sleem247/zephyr-finetuned-legal-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sleem247/zephyr-finetuned-legal-Q8_0-GGUF with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 1,105 Bytes
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base_model: Feluda/zephyr-finetuned-legal
datasets:
- joelniklaus/legal_case_document_summarization
library_name: peft
license: mit
pipeline_tag: text-generation
tags:
- trl
- sft
- generated_from_trainer
- llama-cpp
- gguf-my-lora
model-index:
- name: zephyr-finetuned-legal
results: []
---
# Sleem247/zephyr-finetuned-legal-Q8_0-GGUF
This LoRA adapter was converted to GGUF format from [`Feluda/zephyr-finetuned-legal`](https://huggingface.co/Feluda/zephyr-finetuned-legal) 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/Feluda/zephyr-finetuned-legal) for more details.
## Use with llama.cpp
```bash
# with cli
llama-cli -m base_model.gguf --lora zephyr-finetuned-legal-q8_0.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora zephyr-finetuned-legal-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).
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