Qwen3.5-9B-autoround-NVFP4

kaitchup/Qwen3.5-9B-autoround-NVFP4

Qwen3.5-9B-autoround-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.

<div align="center" <img src="https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/mj6xac74jHGLqymiovObc.png" alt="The Kaitchup -- AI on a Budget" style="width: 100%; max-width: 100%; height:…

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8.9 GB on disk

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Hugging Face

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.safetensors8.9 GB · 100%

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How the weights are stored.

U83.5B · 54%

Base models

Qwen/Qwen3.5-9B

Model card

From the Hugging Face model README

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This is Qwen/Qwen3.5-9B quantized with AutoRound to NVFP4. The model is compatible with vLLM (tested: v0.16.1rc1). Tested with an RTX Pro 6000. Currently under evaluation.

Developed by: The Kaitchup

Instructions

uv pip install vllm --torch-backend=auto --extra-index-url https://wheels.vllm.ai/nightly
uv pip install git+https://github.com/huggingface/transformers.git

vllm serve [this model ID]  --max-model-len 262144 --reasoning-parser qwen3

Acknowledgments

Thank you Verda for providing the needed compute. I used their H200s. Verda is a European, AI-focused cloud and GPU infrastructure provider with sovereignty, sustainability, data privacy, and performance at its core. Check them out if interested.

Type: qwen3_5
License: apache-2.0
Created: Mar 3, 2026
Updated: Mar 3, 2026