Mistral-7B-Instruct-v0.3-GGUF Open Source Model - Multiple Quantization Options to Meet Different Hardware Requirements

Mistral 7B Instruct V0.3 GGUF

Developed by gaianet

Quantized version of Mistral-7B-Instruct-v0.3, offering multiple quantization options to accommodate different hardware requirements

Large Language Model Open Source License:Apache-2.0 #Instruction Optimization #Long Context Handling #Lightweight Deployment

Downloads 137

Release Time : 5/30/2024

Model Overview

GGUF quantized model based on Mistral-7B-Instruct-v0.3, supporting various quantization levels for inference tasks across different computational resource environments

Model Features

Multiple Quantization Options

Offers various quantization levels from 2-bit to 16-bit to suit different hardware needs

Long Context Support

Supports context lengths of up to 32,000 tokens

Efficient Inference

Achieves more efficient inference performance through quantization techniques

Model Capabilities

Text Generation

Dialogue Systems

Instruction Following

Code Generation

Content Creation

Use Cases

Dialogue Systems

Intelligent Assistant

Build intelligent assistants capable of understanding complex instructions

High-quality conversational experience

Content Creation

Article Generation

Generate high-quality articles based on prompts

Coherent and logical content output

Name	Quant method	Bits	Size	Use case
Mistral-7B-Instruct-v0.3-Q2_K.gguf	Q2_K	2	2.72 GB	smallest, significant quality loss - not recommended for most purposes
Mistral-7B-Instruct-v0.3-Q3_K_L.gguf	Q3_K_L	3	3.83 GB	small, substantial quality loss
Mistral-7B-Instruct-v0.3-Q3_K_M.gguf	Q3_K_M	3	3.52 GB	very small, high quality loss
Mistral-7B-Instruct-v0.3-Q3_K_S.gguf	Q3_K_S	3	3.17 GB	very small, high quality loss
Mistral-7B-Instruct-v0.3-Q4_0.gguf	Q4_0	4	4.11 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Mistral-7B-Instruct-v0.3-Q4_K_M.gguf	Q4_K_M	4	4.37 GB	medium, balanced quality - recommended
Mistral-7B-Instruct-v0.3-Q4_K_S.gguf	Q4_K_S	4	4.14 GB	small, greater quality loss
Mistral-7B-Instruct-v0.3-Q5_0.gguf	Q5_0	5	5 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Mistral-7B-Instruct-v0.3-Q5_K_M.gguf	Q5_K_M	5	5.14 GB	large, very low quality loss - recommended
Mistral-7B-Instruct-v0.3-Q5_K_S.gguf	Q5_K_S	5	5 GB	large, low quality loss - recommended
Mistral-7B-Instruct-v0.3-Q6_K.gguf	Q6_K	6	5.95 GB	very large, extremely low quality loss
Mistral-7B-Instruct-v0.3-Q8_0.gguf	Q8_0	8	7.7 GB	very large, extremely low quality loss - not recommended
Mistral-7B-Instruct-v0.3-f16.gguf	f16	16	14.5 GB

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Mistral 7B Instruct V0.3 GGUF

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Mistral-7B-Instruct-v0.3-GGUF

🚀 Quick Start

🔍 Original Model

🚀 Run with Gaianet

✨ Features

📦 Quantized GGUF Models

📄 License