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Mistral Small 3.1 24B Instruct 2503 Quantized.w8a8

Developed by RedHatAI
This is an INT8-quantized Mistral-Small-3.1-24B-Instruct-2503 model, optimized by Red Hat and Neural Magic, suitable for fast response and low-latency scenarios.
Downloads 833
Release Time : 4/15/2025

Model Overview

This model is a quantized version of Mistral-Small-3.1-24B-Instruct-2503, significantly reducing GPU memory requirements and improving computational efficiency by quantizing weights and activations to INT8.

Model Features

Efficient Quantization
Reduces GPU memory requirements by approximately 50% and increases computational throughput by about 2x through INT8 quantization technology
Multilingual Support
Supports text generation and understanding in 24 languages
Versatile Applications
Suitable for various tasks such as dialogue agents, function calling, document understanding, and visual understanding
Fast Response
The optimized model is particularly suitable for applications requiring low latency

Model Capabilities

Text generation
Multilingual processing
Dialogue agents
Function calling
Long-document understanding
Visual understanding
Programming and mathematical reasoning

Use Cases

Dialogue Systems
Customer Service Chatbot
Deploy fast-response customer service agents
Reduces response latency and improves user experience
Development Tools
Code Assistance
Helps developers with programming and debugging
Improves development efficiency
Content Understanding
Long-Document Summarization
Quickly understands and summarizes long documents
Enhances information processing efficiency
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