---
library_name: peft
base_model: meta-llama/Llama-2-13b-hf
datasets:
- harpomaxx/jurisgpt
---

## Description:

## Training Details

The complete training script used for finetuning the model is available [here](https://github.com/harpomaxx/JurisGPT/blob/e15b844875c3f7e27eaf1a0e5dc13f069e38fee0/code/python/scripts/finetune.py)

### Training Data

[harpomaxx/jurisgpt/] (https://huggingface.co/datasets/harpomaxx/jurisgpt)

## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: float16

### Framework versions

- PEFT 0.6.2