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Mistral 7B Instruct V0.1 GPTQ

Developed by TheBloke
The GPTQ quantized version of Mistral 7B Instruct v0.1, supporting operation under the ExLlama or Transformers framework
Downloads 7,481
Release Time : 9/28/2023

Model Overview

This is a GPTQ quantized model based on Mistral 7B Instruct v0.1, offering a variety of quantization parameter options suitable for inference requirements in different hardware environments.

Model Features

Support for multiple quantization parameters
Provides a variety of quantization parameter combinations, allowing users to select the most suitable parameters according to their hardware and requirements
Multi-framework compatibility
The model can run under the ExLlama or Transformers framework
Efficient inference
Reduces the model size and memory usage through GPTQ quantization technology while maintaining high inference quality
Support for long sequences
Supports a sequence length of up to 32768

Model Capabilities

Instruction following
Text generation
Dialogue system
Question-answering system

Use Cases

Dialogue system
Intelligent assistant
Build an intelligent assistant capable of understanding and responding to natural language instructions
Content generation
Article writing
Generate coherent and logical article content based on prompts
Question-answering system
Knowledge Q&A
Answer various knowledge-based questions raised by users
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