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

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 we…

ggufuncensoredabliteratedqwen3llama.cppimage-text-to-textbase_model:philbert440/Qwen3.8-27B-Uncensored-Aggressivebase_model:quantized:philbert440/Qwen3.8-27B-Uncensored-Aggressivelicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~600.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

10 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwen3.8-27B-Uncensored-Balanced-BF16.ggufGGUFBF1650.11 GBDownload
Qwen3.8-27B-Uncensored-Balanced-Q4_K_M.ggufGGUFQ4_K_M17.67 GBDownload
Qwen3.8-27B-Uncensored-Balanced-Q5_K_M.ggufGGUFQ5_K_M19.81 GBDownload
Qwen3.8-27B-Uncensored-Balanced-Q6_K.ggufGGUFQ6_K22.08 GBDownload
Qwen3.8-27B-Uncensored-Balanced-Q8_0.ggufGGUFQ8_026.63 GBDownload
mmproj-Qwen3.8-27B-Uncensored-Balanced-BF16.ggufGGUFBF16888.0 MBDownload
mmproj-Qwen3.8-27B-Uncensored-Balanced-Q8_0.ggufGGUFQ8_0600.1 MBDownload
mtp-Qwen3.8-27B-Uncensored-Balanced-BF16.ggufGGUFBF165.54 GBDownload
mtp-Qwen3.8-27B-Uncensored-Balanced-Q4_0.ggufGGUFQ4_01.56 GBDownload
mtp-Qwen3.8-27B-Uncensored-Balanced-Q8_0.ggufGGUFQ8_02.95 GBDownload

Model Details

Model IDphilbert440/Qwen3.8-27B-Uncensored-Aggressive-GGUF
Authorphilbert440
Pipelineimage-text-to-text
Licenseapache-2.0
Base modelphilbert440/Qwen3.8-27B-Uncensored-Aggressive
Last modified2026-08-18T20:55:46.000Z

Model README

---

license: apache-2.0

base_model: philbert440/Qwen3.8-27B-Uncensored-Aggressive

tags:

  • uncensored
  • abliterated
  • qwen3
  • gguf
  • llama.cpp

pipeline_tag: image-text-to-text

---

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.

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