image

🪶 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.gguf
  • Qwen3.5-9B-heretic-v2.Q8_0.gguf
  • Qwen3.5-9B-heretic-v2.Q5_K_M.gguf
  • Qwen3.5-9B-heretic-v2.Q4_K_M.gguf
  • Qwen3.5-9B-heretic-v2.BF16-mmproj.gguf This was trained 2x faster with Unsloth
Downloads last month
437
Safetensors
Model size
9B params
Tensor type
BF16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Nest-AI/Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5

Quantized
(3)
this model

Datasets used to train Nest-AI/Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5