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QWQ Stock

Developed by wanlige
A merged model based on multiple Qwen series 32B parameter models, enhanced with Model Stock method for improved multilingual processing capabilities
Large Language Model
Transformers
#Multilingual instruction fine-tuning#32B parameter scale#Model distillation enhanced
Downloads 368
Release Time : 3/6/2025

Model Overview

This is a large language model merged using the mergekit tool from multiple Qwen series 32B parameter models, designed to combine the strengths of each model and enhance performance in multilingual understanding and generation tasks.

Model Features

Multi-model merging
Combines the strengths of 7 different Qwen series 32B parameter models
Multilingual support
Supports text understanding and generation in 13 languages
Instruction optimization
Merged based on Qwen2.5-32B-Instruct, enhancing instruction-following capabilities

Model Capabilities

Multilingual text generation
Instruction understanding and execution
Long-text processing
Knowledge Q&A
Text summarization

Use Cases

Multilingual applications
Multilingual customer service system
Build intelligent customer service systems supporting multiple languages
Capable of handling customer inquiries in 13 languages simultaneously
Content creation
Multilingual content generation
Automatically generate marketing copy or articles in multiple languages
Consistent multilingual output maintaining content style
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