cfli/reasoner-rewriter-qwen2.5-7b-0821

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Oct 11, 2025License:apache-2.0Architecture:Transformer Open Weights Cold

The cfli/reasoner-rewriter-qwen2.5-7b-0821 is a 7.6 billion parameter Qwen2.5-based rewriting model developed by cfli, designed for reasoning-intensive document retrieval tasks. It specializes in rewriting queries into more suitable forms to enhance retrieval performance. This model is particularly effective at generating detailed, relevant information to address complex questions across various domains, including biology, economics, and programming challenges.

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Reason-Rewriter: Enhancing Reasoning-Intensive Document Retrieval

Reason-Rewriter is a specialized model built upon the Qwen2.5 architecture, developed by cfli, focusing on improving document retrieval for complex, reasoning-intensive queries. Its core function is to rewrite user queries into more effective forms, thereby boosting the relevance and accuracy of retrieved information.

Key Capabilities

  • Query Rewriting for Retrieval: Optimizes queries to better match relevant documents in reasoning-heavy tasks.
  • Detailed Information Generation: Capable of generating comprehensive and relevant information to address intricate questions.
  • Multi-domain Adaptability: Demonstrated utility across diverse subjects, including:
    • Sciences: Biology, Earth Science, Psychology, Robotics.
    • Technical: StackOverflow-style questions, LeetCode problem-solving (generating data structures and algorithms), Pony syntax and features.
    • Mathematics: Aops (functions and techniques), TheoremQA (identifying and explaining necessary theorems, concepts, and formulas).

Good For

  • Improving Search Relevance: Ideal for applications requiring highly accurate document retrieval based on complex, nuanced queries.
  • Knowledge Base Interaction: Enhancing the ability of systems to extract precise answers from large knowledge bases.
  • Educational Tools: Assisting in generating detailed explanations for academic and technical problems.
  • Agentic Search Systems: Serving as a critical component in frameworks designed for advanced information retrieval and reasoning.

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