Qwen/Qwen2.5-Math-1.5B-Instruct is a 1.5 billion parameter instruction-tuned large language model developed by Qwen, specifically optimized for solving mathematical problems. It supports both Chain-of-Thought (CoT) and Tool-integrated Reasoning (TIR) in English and Chinese. This model is designed for precise computation and algorithmic manipulation in mathematical contexts, building upon the Qwen2-Math series.
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Qwen2.5-Math-1.5B-Instruct: Specialized Mathematical LLM
Qwen2.5-Math-1.5B-Instruct is part of the Qwen2.5-Math series, an upgrade from the earlier Qwen2-Math models, developed by Qwen. This 1.5 billion parameter instruction-tuned model is specifically engineered for solving mathematical problems in both English and Chinese.
Key Capabilities
- Mathematical Problem Solving: Primarily supports solving math problems through Chain-of-Thought (CoT) and Tool-integrated Reasoning (TIR).
- Multilingual Support: Expanded to handle mathematical tasks in both Chinese and English.
- Enhanced Reasoning: Achieves significant performance improvements on Chinese and English mathematics benchmarks using CoT compared to its predecessor.
- Computational Accuracy: TIR further improves the model's proficiency in precise computation, symbolic manipulation, and algorithmic manipulation, addressing challenges faced by CoT alone.
Good For
- Developers requiring an LLM specifically for mathematical problem-solving.
- Applications needing step-by-step reasoning (CoT) or tool-assisted computation (TIR) for math.
- Use cases involving mathematical tasks in both English and Chinese.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.