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license: apache-2.0
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---
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license: apache-2.0
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base_model:
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- Qwen/Qwen3-14B
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tags:
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- llm-compressor
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datasets:
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- HuggingFaceH4/ultrachat_200k
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---
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This is [Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) 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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The model is compatible with vLLM. Use a Blackwell GPU to get >2x throughput.
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More details in this article:
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[NVFP4: Same Accuracy with 2.3x Higher Throughput for 4-Bit LLMs](https://kaitchup.substack.com/p/nvfp4-same-accuracy-with-23-higher)
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- **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)
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- **License:** Apache 2.0 license
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## How to Support My Work
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Subscribe to [The Kaitchup](https://kaitchup.substack.com/subscribe).
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Or, for a one-time contribution, here is my ko-fi link: [https://ko-fi.com/bnjmn_marie](https://ko-fi.com/bnjmn_marie)
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This helps me a lot to continue quantizing and evaluating models for free.
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