Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled

image-text-to-text model by Jackrong

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🔥 Update (April 5): I’ve released the complete training notebook, codebase, and a comprehensive PDF guide to help beginners and enthusiasts understand and reproduce this model's fine-tuning process. 👉 GitHub Repository: Jackrong-llm-finetuning-guide Visit the repo to dive into the codebase and reproduce the results locally or on Colab. 🔗 Qwopus3.5-27b Complete Fine-Tuning Guide (PDF) Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled is a highly capable reasoning model fine-tuned on top of the powerful Qwen3.5 architecture. The model's core directive is to leverage state-of-the-art Chain-of-Thought (CoT) distillation primarily sourced from Claude-4.6 Opus interactions. Through Supervised Fine-Tuning (SFT) focusing specifically on structured reasoning logic, this model excels in breaking down complex user problems, planning step-by-step methodologies within strictly formatted tags, and ultimately delivering precise, nuanced solutions. The model includes targeted optimizations addressing Qwen3.5’s tendency toward excessive transitional or repetitive reasoning on simple queries. Through deep distillation and structural imitation of Claude-4.6-Opus reasoning chains, the model adopts a more…

Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled on Hugging Face A short preview, not the full document.

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Model overview

Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled is a image-text-to-text model repository published by Jackrong on Hugging Face. A library was not reported.

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Model facts

Task: image-text-to-text
Library: Not reported
Recent downloads (30 days): 2,085
Cumulative likes: 2,970
Hugging Face trending score: 0
Reported safetensors parameters: 27,781,427,952
Architecture: Qwen3_5ForConditionalGeneration
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-02-27T08:08:29.000Z
Last modified: 2026-07-07T02:18:08.000Z

Compatibility and lineage

Reported languages: en, zh

Reported base models: Qwen/Qwen3.5-27B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:50:33.901Z. Daily imports are snapshots, not real-time monitoring.

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