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pcmaker/Huihui-Qwen3.8-27B-Uncensored-NInfer
Huihui-Qwen3.8-27B-Uncensored-NInfer is a machine learning model from pcmaker. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for ninfer. The card lists the license as apache-2.0.
A prebuilt .ninfer artifact of huihui‑ai/Huihui‑Qwen3.8‑27B‑abliterated (uncensored), so you can run it on a single RTX 5090 without doing the quantize/convert yourself.
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From the Hugging Face model README
A prebuilt .ninfer artifact of huihui‑ai/Huihui‑Qwen3.8‑27B‑abliterated (uncensored),
so you can run it on a single RTX 5090 without doing the quantize/convert yourself.
Authorized use only. Uncensored/abliterated weights remove the model's refusals. Use this for red‑teaming your own apps, security research and offline experiments. You are responsible for what you generate.
# 1) build NInfer (see its README), then:
export LD_LIBRARY_PATH=/usr/local/cuda-13.3/lib64:$LD_LIBRARY_PATH
hf download pcmaker/Huihui-Qwen3.8-27B-Uncensored-NInfer --local-dir ./art
./ninfer/build/apps/ninfer-serve ./art/huihui_uncensored_nvfp4.ninfer \
--host 0.0.0.0 --port 8188 \
--max-context 262144 \
--kv-dtype k8v4 \
--spec dflash2 --draft-tokens 3 \
--default-thinking-budget 600
Then call the OpenAI‑compatible endpoint at http://localhost:8188/v1/chat/completions.
Disable "thinking" per request with {"reasoning_effort": "none"}.
Full step‑by‑step guide (build → quantize → convert → serve), scripts and benchmarks: pcmaker/Qwen3.8‑27B‑Uncensored‑NInfer‑RTX5090‑Guide
In short: the uncensored BF16 base was quantized to the mixed FP8+NVFP4 layout that
NInfer's converter expects, then combined with unsloth/Qwen3.8-27B-NVFP4 (reference
layout) and z-lab/Qwen3.8-27B-DFlash2 (draft head) into this single .ninfer file.
huihui‑ai (uncensored base), the Qwen team (base model + tokenizer), unsloth (NVFP4 reference), z‑lab (DFlash2), and NInfer (engine). All weights and tools belong to their respective authors and licenses.