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Qwq 32B Gptqmodel 4bit Vortex V1
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Qwq 32B Gptqmodel 4bit Vortex V1

Developed by ModelCloud
QwQ-32B is a 32B-parameter large language model based on the Qwen2 architecture, processed with 4-bit integer quantization using the GPTQ method, suitable for efficient text generation tasks.
Large Language Model
Safetensors
 EnglishOpen Source License:Apache-2.0#4-bit GPTQ quantization#Efficient text generation#Instruction fine-tuning optimization
Downloads 1,620
Release Time : 3/7/2025

Model Overview

This model is the 4-bit integer GPTQ quantized version of Qwen/QwQ-32B, focusing on dialogue and instruction-following tasks, reducing hardware requirements through quantization while maintaining high performance.

Model Features

Efficient 4-bit quantization
Utilizes the GPTQ method for 4-bit integer quantization, significantly reducing memory usage and computational resource requirements.
Optimized inference efficiency
Enables true sequential processing and symmetric quantization techniques to enhance inference speed.
Dialogue optimization
Fine-tuned for instructions, making it particularly suitable for dialogue interaction scenarios.

Model Capabilities

Text generation
Dialogue interaction
Instruction following

Use Cases

Intelligent dialogue
Q&A system
Build an efficient knowledge-based Q&A bot
Achieves smooth dialogue experience under limited hardware resources.
Content generation
Text creation assistance
Assists users in creative writing or content generation
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