kaitchup/

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

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.

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

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.