NousResearch/GPT4-x-Vicuna-13b-4bit

This is the GPTQ 4Bit Groupsize 128 Pre-Quantized Model, for the full model in fp32, visit https://huggingface.co./NousResearch/gpt4-x-vicuna-13b

As a base model used https://huggingface.co./eachadea/vicuna-13b-1.1

Finetuned on Teknium's GPTeacher dataset, Teknium's unreleased Roleplay v2 dataset, WizardLM Uncensored, GPT-4-LLM Uncensored, and Nous Research Instruct Dataset

Approx 180k instructions, all from GPT-4, all cleaned of any OpenAI censorship/"As an AI Language Model" etc.

Base model still has OpenAI censorship. Soon, a new version will be released with cleaned vicuna from https://huggingface.co./datasets/anon8231489123/ShareGPT_Vicuna_unfiltere

Trained on 8 A100-80GB GPUs for 5 epochs following Alpaca deepspeed training code.

Prompt format is Alpaca:

### Instruction:

### Response:

or

### Instruction:

### Input:

### Response:

Nous Research Instruct Dataset will be released soon.

GPTeacher, Roleplay v2 by https://huggingface.co./teknium

Wizard LM by https://github.com/nlpxucan

Nous Research Instruct Dataset by https://huggingface.co./karan4d and https://huggingface.co./huemin

Compute provided by our project sponsor https://redmond.ai/