README.md

---
license: apache-2.0
base_model:
- Qwen/Qwen3-1.7B
tags:
- llm-compressor
datasets:
- open-r1/OpenR1-Math-220k
---
This is [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) quantized with [LLM Compressor](https://github.com/vllm-project/llm-compressor) in 4-bit (NVFP4), weights and activations. 
The calibration step used 512 samples of 2048 tokens, chat template applied, from [open-r1/OpenR1-Math-220k](https://huggingface.co/datasets/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](https://kaitchup.substack.com/p/nvfp4-same-accuracy-with-23-higher)



- **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)
- **License:** Apache 2.0 license

## How to Support My Work
Subscribe to [The Kaitchup](https://kaitchup.substack.com/subscribe). 
Or, for a one-time contribution, here is my ko-fi link: [https://ko-fi.com/bnjmn_marie](https://ko-fi.com/bnjmn_marie)


This helps me a lot to continue quantizing and evaluating models for free.