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README.md
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- reasoning
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- chain-of-thought
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- Dense
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pipeline_tag: text-
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datasets:
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- nohurry/Opus-4.6-Reasoning-3000x-filtered
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- Jackrong/Qwen3.5-reasoning-700x
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## 📋 Stage Details
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Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled shows significant advantages in coding-agent environments such as Claude Code and OpenCode:
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- reasoning
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- chain-of-thought
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- Dense
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pipeline_tag: image-text-to-text
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datasets:
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- nohurry/Opus-4.6-Reasoning-3000x-filtered
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- Jackrong/Qwen3.5-reasoning-700x
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## 📋 Stage Details
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**🔧Tool Calling Benchmark**（benchmark tests by user @Chris Klaus）
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> **From the test results, it is clear that different Qwen3.5 quantized models show significant differences in tool-calling capability. Among them, only the 27B model distilled with Claude Opus reasoning demonstrates stable performance.**
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🔥**Community-tested advantages** (benchmark tests by user @sudoing on a single RTX 3090):
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Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled shows significant advantages in coding-agent environments such as Claude Code and OpenCode:
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