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Qwen3-4B-calib-OpenR1-Math-220k-2klen-NVFP4
kaitchup/Qwen3-4B-calib-OpenR1-Math-220k-2klen-NVFP4
Qwen3-4B-calib-OpenR1-Math-220k-2klen-NVFP4 is a machine learning model from kaitchup. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This is Qwen/Qwen3-4B quantized with LLM Compressor in 4-bit (NVFP4), weights and activations. The calibration step used 512 samples of up to 2048 tokens, chat template applied, from open-r1/OpenR1-Math-220k.
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From the Hugging Face model README
This is Qwen/Qwen3-4B quantized with LLM Compressor in 4-bit (NVFP4), weights and activations. The calibration step used 512 samples of up to 2048 tokens, chat template applied, from open-r1/OpenR1-Math-220k.
The quantization has been done, tested, and evaluated by The Kaitchup. The model is compatible with vLLM. Use a Blackwell GPU to get >2x throughput.
More details in this article: NVFP4: Same Accuracy with 2.3x Higher Throughput for 4-Bit LLMs
- Developed by: The Kaitchup
- License: Apache 2.0 license
How to Support My Work
Subscribe to The Kaitchup. Or, for a one-time contribution, here is my ko-fi link: https://ko-fi.com/bnjmn_marie
This helps me a lot to continue quantizing and evaluating models for free.
- Type
- qwen3
- License
- apache-2.0
- Created
- Sep 8, 2025
- Updated
- Sep 8, 2025