Gensyn / Qwen2.5-1.5B-Instruct

Qwen2.5-1.5B-Instruct

Introduction

This model is intended for use in the Gensyn RL Swarm , to finetune locally using peer-to-peer reinforcement learning post-training.

Once finetuned, the model can be used as normal in any workflow, for details on how to do this please refer to the original model documentation .

For more details on the original model, please refer to the original repository here .

This repo contains an unmodified version of the instruction-tuned 1.5B Qwen2.5 model, which has the following features:

• Type: Causal Language Models
• Training Stage: Pretraining & Post-training
• Architecture: transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
• Number of Parameters: 1.54B
• Number of Paramaters (Non-Embedding): 1.31B
• Number of Layers: 28
• Number of Attention Heads (GQA): 12 for Q and 2 for KV
• Context Length: Full 32,768 tokens and generation 8192 tokens

Requirements

This model is intended for use in the Gensyn RL Swarm system, for details on model requirements when using outside of a swarm, refer to the original Qwen repo here .

Quickstart

To deploy this model into a swarm and/or participate in the Gensyn Testnet, follow the instructions in the RL Swarm repository , read about the testnet , read the RL Swarm overview , and/or read the RL Swarm technical report .