stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored

Model Details

Model Description

• Using shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat as base model, and finetune the dataset as mentioned via unsloth. Makes the model uncensored.

Training Code

Training Procedure Raw Files

• ALL the procedure are training on Vast.ai

• Hardware in Vast.ai:

  • GPU: 1x A100 SXM4 80GB

  • CPU: AMD EPYC 7513 32-Core Processor

  • RAM: 129 GB

  • Disk Space To Allocate：>150GB

  • Docker Image: pytorch/pytorch:2.2.0-cuda12.1-cudnn8-devel

  • Download the ipynb file.

Training Data

• Base Model

  • shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat

• Dataset

  • Minami-su/toxic-sft-zh
  • llm-wizard/alpaca-gpt4-data-zh
  • stephenlzc/stf-alpaca

Usage

from transformers import pipeline

qa_model = pipeline("question-answering", model='stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored')
question = "How to make girlfreind laugh? please answer in Chinese."
qa_model(question = question)