Efficient Multilingual Reasoning with Qwen3.5‑9B‑Claude‑Opus Distilled v2 (GGUF)

The **Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2** model is a second‑generation fine‑tune of the Qwen3.5‑9B base model, distilled from over 14,000 Claude 4.6 Opus‑style reasoning samples. Built with Unsloth and LoRA adapters, it targets *efficient* chain‑of‑thought generation, trimming unnecessary tokens while preserving deep analytical ability. The model’s training data blend includes filtered reasoning trajectories from datasets such as nohurry/Opus-4.6-Reasoning-3000x-filtered, Roman1111111/claude-opus-4.6-10000x, TeichAI/claude-4.5-opus-high-reasoning-250x, and Jackrong/Qwen3.5-reasoning-700x, providing a balanced mix of mathematics, logic, general knowledge, and instruction‑following examples.

According to the README, v2 improves both *accuracy* and *reasoning economy*: it achieves higher benchmark scores on HumanEval and HumanEval+ while using over 20 % fewer tokens. This makes the model especially attractive for resource‑constrained local deployments, multi‑step autonomous agents, and any workflow where inference cost matters. The model is released under the Apache‑2.0 license, packaged in GGUF format for fast loading on consumer GPUs, and is marked as compatible with endpoint services.

While the primary focus is text‑only reasoning, the repository tags include **image-text-to-text**, indicating that the model can also accept image inputs and produce textual responses, extending its utility to multimodal tasks. It supports three languages—English, Chinese, and Korean—allowing multilingual reasoning applications. The developers caution that, like any autoregressive LLM, occasional factual hallucinations may occur, and the model is intended for academic, research, and technical exploration purposes.

Overall, this model offers a compelling blend of strong logical capabilities, multilingual support, and cost‑effective inference, positioning it as a practical choice for developers building local AI assistants, reasoning‑heavy agents, or lightweight multimodal tools.