philbert440/Qwen3.8-27B-Uncensored-Aggressive-GGUF

🤗 Hugging Face 来源image-text-to-textapache-2.0激活 27B159 GBGGUF✓ 10 个校验和今天更新
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在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo philbert440/Qwen3.8-27B-Uncensored-Aggressive-GGUF ./model-folder
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Qwen3.8-27B-Uncensored-Aggressive — GGUF

llama.cpp GGUF quants of Qwen3.8-27B-Uncensored-Aggressive (the α=1.15 recipe update — see below). Includes the main weight quants plus the vision projector (mmproj-*) for image input and the MTP head (mtp-*) for speculative decoding.

Files

file notes
*-BF16.gguf full precision
*-Q8_0.gguf / *-Q6_K.gguf / *-Q5_K_M.gguf / *-Q4_K_M.gguf weight quants (Q4_K_M = smallest)
mmproj-*-{BF16,Q8_0}.gguf vision projector (load with --mmproj for image input)
mtp-*-{BF16,Q8_0,Q4_0}.gguf MTP speculative-decoding head (optional)

About this update (α=1.15)

This is a recipe update to the Aggressive line. The previous build used single-direction refusal ablation at high strength (α≈1.24), which a benchmark sweep showed over-ablates — past the ~1.15 peak, extra ablation reduces openness and degrades reasoning/calibration. This build uses α=1.15, the peak, and measures better on every axis while being more open.

Evaluation (larger-sample, thinking mode, Claude-judged, bf16)

openness ↑ confab ↓ factual ↑ gsm8k ↑
stock base (censored) 0.08 0.75 1.00 0.85
Aggressive (α=1.15) 0.88 0.725 1.00 0.85
previous Aggressive (α≈1.24) 0.80 0.80 1.00 0.817

Method: single-direction refusal-vector orthogonalization (Arditi et al. / mlabonne), layer 28, α=1.15. Vision tower and MTP head preserved.

Note

Uncensored / de-refused — it will follow instructions it would otherwise decline. Use responsibly and in compliance with applicable law.