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Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5
Crowfeather/Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5
Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5 is a machine learning model from Crowfeather. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
All-time downloads
4K
Public
Parameters
9.4B
59.4 GB on disk
Likes
4
Public
Repo makeup
Click a slice to open those files.
.gguf40.5 GB · 68%
At a glance
- Model type
- qwen3_5
- Access
- Public
- Created
- Mar 3, 2026
- Updated
- Mar 3, 2026
- SHA
- f0eb162e
Base models
Model card
From the Hugging Face model README
🪶 CROW-9B
Flagship Intelligence. Featherweight Footprint. Meticulously distilled from Claude Opus 4.6 into a highly efficient Qwen 3.5 architecture.
Architecture: Qwen 3.5 | Parameters: 9 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.
- Highly Agile: At just 9B parameters, Crow runs efficiently on consumer-grade GPUs and edge devices without sacrificing contextual depth.
- Qwen 3.5 Backbone: Inherits robust multilingual support, a massive context window, and structural stability.
Available Model files:
Qwen3.5-9B-heretic-v2.F16.ggufQwen3.5-9B-heretic-v2.Q8_0.ggufQwen3.5-9B-heretic-v2.Q5_K_M.ggufQwen3.5-9B-heretic-v2.Q4_K_M.ggufQwen3.5-9B-heretic-v2.BF16-mmproj.ggufThis was trained 2x faster with Unsloth <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>
- Type
- qwen3_5
- Created
- Mar 3, 2026
- Updated
- Mar 3, 2026