Downloads · 30 days
1.7K
28% of all-time downloads
philbert440/Qwen3.8-27B-Uncensored-Aggressive-GGUF
Qwen3.8-27B-Uncensored-Aggressive-GGUF is a image-text-to-text model from philbert440. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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 specul…
Downloads · 30 days
1.7K
28% of all-time downloads
All-time downloads
5.9K
Public
Repo size
159 GB
Likes
0
Public
Click a slice to open those files.
.gguf159 GB · 100%
From the Hugging Face model README
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.
| 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) |
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.
| 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.
Uncensored / de-refused — it will follow instructions it would otherwise decline. Use responsibly and in compliance with applicable law.