Babsie/Crow_Qwen9B_OpusUCH
Crow_Qwen9B_OpusUCH is a 9 billion parameter distilled language model developed by Babsie, built on the Qwen 3.5 architecture with a 32K context window. It is meticulously distilled from Claude Opus 4.6, capturing its deep reasoning, nuanced formatting, and instruction-following capabilities. This model is optimized for efficient operation on consumer-grade GPUs and edge devices, making it suitable for reasoning, writing, coding, and long-form dialogue tasks.
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Crow-9B: Flagship Intelligence, Featherweight Footprint
Crow-9B is a 9 billion parameter language model developed by Babsie, leveraging the robust Qwen 3.5 architecture. Its core innovation lies in its distillation from Claude Opus 4.6, allowing it to inherit advanced reasoning, precise formatting, and strong instruction-following abilities while maintaining a highly efficient footprint.
Key Capabilities
- Distilled Excellence: Captures the sophisticated reasoning and instruction-following of Claude Opus 4.6.
- High Efficiency: Operates effectively on consumer-grade GPUs and edge devices due to its 9B parameter count.
- Robust Backbone: Benefits from Qwen 3.5's strong multilingual support and a substantial 32,768 token context window.
Good for
- Reasoning Tasks: Excels in complex problem-solving and logical deduction.
- Writing and Formatting: Capable of nuanced text generation and adherence to specific formatting requirements.
- Coding Assistance: Provides support for code generation and understanding.
- Long-form Dialogue: Maintains coherence and context over extended conversations.
Users can optimize performance by adjusting settings like temperature and repeat penalty, and the model provides recommended system prompts for various use cases. It is available in several GGUF quantizations for compatibility with tools like LM Studio and Ollama.