georgesung_-_llama2_7b_chat_uncensored-8bits

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llama2_7b_chat_uncensored - bnb 8bits

• Model creator: https://huggingface.co/georgesung/
• Original model: https://huggingface.co/georgesung/llama2_7b_chat_uncensored/

Original model description:

license: other datasets:

• georgesung/wizard_vicuna_70k_unfiltered

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Overview

Fine-tuned Llama-2 7B with an uncensored/unfiltered Wizard-Vicuna conversation dataset (originally from ehartford/wizard_vicuna_70k_unfiltered). Used QLoRA for fine-tuning. Trained for one epoch on a 24GB GPU (NVIDIA A10G) instance, took ~19 hours to train.

The version here is the fp16 HuggingFace model.

GGML & GPTQ versions

Thanks to TheBloke, he has created the GGML and GPTQ versions:

• https://huggingface.co/TheBloke/llama2_7b_chat_uncensored-GGML
• https://huggingface.co/TheBloke/llama2_7b_chat_uncensored-GPTQ

Prompt style

The model was trained with the following prompt style:

### HUMAN:
Hello

### RESPONSE:
Hi, how are you?

### HUMAN:
I'm fine.

### RESPONSE:
How can I help you?
...

Training code

Code used to train the model is available here.

To reproduce the results:

git clone https://github.com/georgesung/llm_qlora
cd llm_qlora
pip install -r requirements.txt
python train.py configs/llama2_7b_chat_uncensored.yaml

Fine-tuning guide

https://georgesung.github.io/ai/qlora-ift/

Open LLM Leaderboard Evaluation Results

Detailed results can be found here