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drawais/
QwQ-32B-NVFP4

Name: QwQ-32B-NVFP4
Availability: InStock

text-generation-inference

endpoints_compatible

8-bit

compressed-tensors

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QwQ-32B-NVFP4

INT4 weight-only quantization of Qwen/QwQ-32B.

Qwen QwQ-32B in NVFP4 W4A4. Native vLLM compressed-tensors. About 17 GB on disk.

Property	Value
Base model	Qwen/QwQ-32B
Quantization	INT4 weight-only
Approx. on-disk size	~20.7 GB
License	Apache License, Version 2.0
Languages	English

Load (vLLM)

bash

vllm serve drawais/QwQ-32B-NVFP4 \
  --max-model-len 32768 \
  --gpu-memory-utilization 0.94

python

from vllm import LLM, SamplingParams
llm = LLM(model="drawais/QwQ-32B-NVFP4", max_model_len=32768)
print(llm.generate(["Hello!"], SamplingParams(max_tokens=128))[0].outputs[0].text)

Footprint

~20.7 GB on disk. Recommended VRAM: enough headroom for KV cache.

License & attribution

This artifact is a derivative work of Qwen/QwQ-32B, released by its original authors under the Apache License, Version 2.0.

This artifact is distributed under the same license. The full license text is included in LICENSE, and required attribution is in NOTICE.

License text: https://www.apache.org/licenses/LICENSE-2.0 Source model: https://huggingface.co/Qwen/QwQ-32B