alexgusevski/Qwen2.5-7B-Instruct-1M-Thinking-Claude-Gemini-GPT5.2-DISTILL-mlx-fp16

The alexgusevski/Qwen2.5-7B-Instruct-1M-Thinking-Claude-Gemini-GPT5.2-DISTILL-mlx-fp16 is a 7.6 billion parameter instruction-tuned causal language model, converted to the MLX format. This model is a distilled version of Qwen2.5-7B-Instruct, incorporating 'thinking' data from Claude, Gemini, and GPT-5.2. It is specifically designed for efficient deployment and inference on Apple Silicon via the MLX framework, making it suitable for local, high-performance AI applications.