AI BriefingAgent-Coding-Optimized Qwopus3.5-9B-Coder Released
Key point
The 9B-scale Qwopus3.5-9B-Coder model, optimized for agentic coding and tool calling, has been released.
Details
Qwopus3.5-9B-coder is a model fine-tuned to maximize performance in Agentic Coding, complex Tool Calling, and logical reasoning.
Key Training Strategy
- It was trained by combining Trace Inversion data augmentation techniques with high-quality Agent Traces.
- It strengthens the ability to write code, debug, and handle repository-level tasks.
- It improves the stability of tool calling, including terminal commands, file operations, and browser use.
Hardware Efficiency By adopting a 9B Dense architecture, it can run smoothly at 8-bit precision even on ordinary laptops or Mac minis with 16GB RAM. It is designed to provide efficient inference speed especially in environments with 8GB~10GB VRAM.
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