Qwen3.5-27B-autoround-NVFP4-linearattn-BF16

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This is Qwen/Qwen3.5-27B quantized with AutoRound to NVFP4 with linear-attention layers kept in 16-bit. 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 B200s for this. 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.