The infinitylogesh/Qwen3-1.7B-GRPO-SRT-Math-12k-Stage-1 is a 2 billion parameter language model based on the Qwen architecture, featuring a 40960 token context length. This model is specifically fine-tuned for mathematical reasoning and problem-solving tasks, leveraging GRPO and SRT methodologies. It is designed to excel in complex numerical and logical challenges, making it suitable for applications requiring robust mathematical capabilities.
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Model Overview
The infinitylogesh/Qwen3-1.7B-GRPO-SRT-Math-12k-Stage-1 is a 2 billion parameter language model built upon the Qwen architecture. It features an extended context window of 40960 tokens, enabling it to process and understand longer sequences of information.
Key Characteristics
- Architecture: Qwen-based model.
- Parameter Count: 2 billion parameters.
- Context Length: Supports a substantial 40960 tokens, beneficial for complex, multi-step problems.
- Specialization: Fine-tuned using GRPO (Gradient-based Reward Policy Optimization) and SRT (Self-Refinement Training) techniques, specifically targeting mathematical reasoning and problem-solving.
Intended Use Cases
This model is particularly well-suited for applications that demand strong mathematical and logical processing. Its fine-tuning for math-related tasks suggests proficiency in:
- Solving mathematical equations and word problems.
- Assisting with quantitative analysis.
- Developing educational tools for mathematics.
- Applications requiring precise numerical reasoning.