Asgar1993/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-wise_domestic_donkey

Model Overview

This model, Asgar1993/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-wise_domestic_donkey, is a fine-tuned variant of the Gensyn/Qwen2.5-0.5B-Instruct base model. It has been specifically trained using the TRL (Transformer Reinforcement Learning) framework.

Key Training Details

The model's training incorporated the GRPO (Gradient-based Reward Policy Optimization) method, as detailed in the research paper "DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models" (arXiv:2402.03300). This suggests an optimization focus on improving the model's ability to handle mathematical reasoning tasks.

Quick Start

Developers can quickly integrate and test this model using the transformers library's pipeline function for text generation tasks, as demonstrated in the provided example. The model is designed to follow instructions effectively, making it suitable for conversational AI and question-answering applications where instruction adherence is crucial.

Framework Versions

The training environment utilized specific versions of key frameworks, including TRL 0.15.2, Transformers 4.51.3, Pytorch 2.6.0, Datasets 3.5.0, and Tokenizers 0.21.1.