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  datasets:
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  - HuggingFaceH4/ultrachat_200k
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  ---
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- This is [Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-0.6B) quantized with [LLM Compressor](https://github.com/vllm-project/llm-compressor) in 4-bit (NVFP4), weights and activations.
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  The calibration step used 512 samples of up to 2048 tokens, chat template applied, from [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k).
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  The quantization has been done, tested, and evaluated by The Kaitchup.
 
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  datasets:
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  - HuggingFaceH4/ultrachat_200k
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  ---
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+ This is [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) quantized with [LLM Compressor](https://github.com/vllm-project/llm-compressor) in 4-bit (NVFP4), weights and activations.
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  The calibration step used 512 samples of up to 2048 tokens, chat template applied, from [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k).
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  The quantization has been done, tested, and evaluated by The Kaitchup.