Jackrong/Qwopus3.5-9B-Coder
Jackrong/Qwopus3.5-9B-Coder is a 9 billion parameter model fine-tuned from Qwopus3.5-9B-v3.5, specifically optimized for agentic coding, complex tool calling, and logical reasoning. It supports vision capabilities and tool calling, designed to run efficiently on entry-level 16GB RAM devices. This model excels at code writing, debugging, and repository-level task processing, making it suitable for advanced programming agent applications.
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Qwopus3.5-9B-Coder: Optimized for Agentic Coding and Tool Calling
Jackrong/Qwopus3.5-9B-Coder is a 9 billion parameter model built upon the Qwopus3.5-9B-v3.5 base, specifically fine-tuned for high-performance Agentic Coding, complex Tool Calling, and logical reasoning. It is designed to be lightweight and efficient, running seamlessly at 8-bit precision on devices with 16GB RAM, such as standard laptops and Mac minis.
Key Capabilities
- Enhanced Logical Reasoning: Features more structured and stronger logical reasoning, reducing repetitive thinking.
- Advanced Code Handling: Excels in code writing, debugging, and processing repository-level tasks.
- Stable Tool Calling: Provides stable and accurate tool calling for terminal commands, file operations, and browsers.
- Vision Support: Supports visual capabilities; requires
mmproj.gguffor activation. - Training Innovation: Utilizes Trace Inversion data augmentation and high-quality Agent Traces (from
lambda/hermes-agent-reasoning-traces) to improve logical coherence and accuracy in complex programming tasks.
Performance Highlights
Benchmarks show Qwopus3.5-9B-Coder outperforming its base model and other 9B agent models in complex agent performance (HermesAgent-20 score of 85 vs. Qwen/Qwen3.5-9B's 71) and achieving 100% stability in ToolCall-15 tests. It also demonstrates strong code debugging capabilities with a BugFind-15 score of 79. On SWE-bench Verified, it scores 53.33%, positioning it competitively against larger models in repository-level coding.
Good For
- Developers building coding agents or automated programming tools.
- Applications requiring robust tool calling and complex logical task execution.
- Users seeking a powerful yet resource-efficient model for local deployment on consumer hardware.
Note: This model is vertically fine-tuned for programming agents and deep reasoning. Its performance in general domains or specific non-programming tasks may exhibit capability decay.