Qwen2.5 0.5B Instruct
A 0.5B parameter instruction fine-tuned model designed for the Gensyn reinforcement learning group, supporting local fine-tuning training
Downloads 2.4M
Release Time : 3/28/2025
Model Overview
Instruction fine-tuned model based on Qwen2.5-0.5B, specifically designed for peer-to-peer reinforcement learning, suitable for various text generation tasks
Model Features
Reinforcement Learning Optimization
Designed for the Gensyn reinforcement learning group, supports local fine-tuning training via peer-to-peer reinforcement learning
Efficient Architecture
Incorporates efficient components like RoPE, SwiGLU, and RMSNorm to enhance model performance
Long Context Support
Supports full 32,768 tokens context length and generates up to 8192 tokens
Model Capabilities
Text Generation
Instruction Understanding
Chat Dialogue
Use Cases
Reinforcement Learning
Local Fine-tuning Training
Perform peer-to-peer reinforcement learning fine-tuning within the Gensyn reinforcement learning group
General Text Generation
Chat Applications
Used to build dialogue systems such as chatbots
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