Qwopus3.5-9B-coder is specially optimized and fine-tuned for high-performance 🤖 Agentic Coding, complex Tool Calling, and logical reasoning.

💡 Why the 9B Dense Model? We believe that the 9B dense architecture represents the perfect "sweet spot" for large language models. It runs seamlessly at 8-bit precision on entry-level 16GB RAM devices-such as standard laptops and the Mac mini-making it exceptionally lightweight yet highly versatile. Without requiring expensive hardware, it allows you to achieve excellent performance paired with impressive inference speeds. Simply put, Qwen3.5-9B is currently the best open-source model in its class.

🛠 Training Strategy

The fine-tuning process of this model deeply integrates Trace Inversion data augmentation technology with high-quality Agent Traces. This systematic approach not only strengthens the model’s ability to solve complex programming tasks, but also greatly improves its logical coherence and accuracy when using various tools.

This model is designed specifically for the following goals:

• 🧩 More structured and stronger logical reasoning capabilities, reducing repetitive thinking
• 💻 More powerful capabilities in code writing, debugging, and repository-level task processing
• 🛠 More stable and accurate Tool Calling capabilities for terminal commands, file operations, and browsers
• 🔁 Better cross-data source distillation alignment

Check model card for all benchmarks.

With MTP, hope this could be better & faster on ~10GB VRAM. Nice to do Agentic coding while getting good t/s just with 8GB VRAM.