Crownelius/Crow-4B-Opus-4.6-Distill-Heretic_Qwen3.5

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🪶 CROW-4B

Flagship Intelligence. Featherweight Footprint. Meticulously distilled from Claude Opus 4.6 into a highly efficient Qwen 3.5 architecture.

`Architecture:` Qwen 3.5 | `Parameters:` 4 Billion | `Teacher Model:` Claude Opus 4.6 | `Type:` Distilled LLM

🌟 Model Highlights

• —Distilled Excellence: Captures the deep reasoning, nuanced formatting, and instruction-following capabilities of Claude Opus 4.6.
• —Ultra Compact: At just 4B parameters, Crow-4B runs on virtually any consumer GPU or CPU — including laptops and edge devices — without sacrificing contextual depth.
• —Qwen 3.5 Backbone: Inherits robust multilingual support, a massive context window, and structural stability.
• —Broadest Training Mix: Trained on 15 datasets spanning reasoning, creative writing, agentic coding, security research, and roleplay — over 25,000 carefully curated examples.

---Generating this model was expensive. You can support this one and future models by tipping. https://ko-fi.com/abcuo

Available Model Files:

• —Crow-4B-Opus-4.6-Distill-Heretic_Qwen3.5.BF16.gguf
• —Crow-4B-Opus-4.6-Distill-Heretic_Qwen3.5.Q8_0.gguf
• —Crow-4B-Opus-4.6-Distill-Heretic_Qwen3.5.Q5_K_M.gguf
• —Crow-4B-Opus-4.6-Distill-Heretic_Qwen3.5.Q4_K_M.gguf

Training Details

Available Model files:

Datasets (15 total, ~25,500 examples)

This was trained 2x faster with Unsloth

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>