This is Qwen/Qwen2.5-72B-Instruct quantized with AutoRound in 2-bit (symmetric + gptq format) with a group size of 64 and calibration samples of 2048 tokens. The model has been created, tested, and evaluated by The Kaitchup. The model is compatible with vLLM and Transformers.

More details in this article: Accurate 2-bit Quantization: Run Massive LLMs on a Single Consumer GPU

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