Qwen3.5-27B with Claude Opus Reasoning: Run This Viral Model via API (No GPU Required)

A community fine-tune just went viral on HuggingFace: Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled by Jackrong. It's racked up 218,000+ downloads and 1,465 likes. The idea: distill Claude Opus 4.6's chain-of-thought reasoning patterns into the open Qwen3.5-27B model via LoRA. The problem? It's self-hosted only — no inference provider supports it yet. Here's how to run it via NexaAPI while waiting for official hosting. What Is This Model? Base : Qwen3.5-27B (dense transformer, 72.4% SWE-bench, matches GPT-5 mini) Fine-tune : LoRA rank 64, trained on ~3,950 Claude Opus 4.6 reasoning traces Output format : <think> reasoning tags + final answer License : Apache 2.0 (free for commercial use) Context : 8K tokens (limitation vs base model's 256K) Run Qwen3.5-27B via NexaAPI While the distilled variant awaits inference provider support, you can run the base Qwen3.5-27B (which NexaAPI hosts) and get similar reasoning quality by prompting it correctly: from openai import OpenAI client = OpenA