license: apache-2.0
base_model: philbert440/Qwen3.8-27B-Uncensored-Aggressive
tags:
- uncensored
- abliterated
- qwen3
- cyber
- image-text-to-text
pipeline_tag: image-text-to-text
Qwen3.8-27B-Uncensored-Cyber
Cyber-specialized de-refusal of Qwen3.8-27B: fully open on the cyber/offensive-security domain while
keeping reasoning, factual accuracy, and coherence intact. Vision tower and MTP speculative-decoding head
are preserved (full multimodal, image-text-to-text).
Recipe (v2)
Built on the α=1.15 Aggressive base (recipe-v2 single-direction refusal ablation), then a residual-cyber
peel: a cyber-pointed refusal direction (from the cyber-offensive training set vs broad harmless) removed by
clean norm-preserving projection (β=1.0) applied only to the deeper layers (retain the first 4 layers,apply_from=4). Retaining the early feature-extraction layers is what preserves general capability — the
lesson from the community's Qwen3 abliterations — so we reach 100% cyber-openness without wrecking the model.
Evaluation (bf16, larger-sample, Claude-judged; cyber = 100 held-out cyber-offensive prompts, regex refusal harness)
| cyber-open ↑ | confab ↓ | factual ↑ | gsm8k ↑ | degen ↓ | |
|---|---|---|---|---|---|
| Cyber (this model, v2) | 100/100 | 0.867 | 1.00 | 0.80 | 0.00 |
| previous Cyber build | 93/100 | 1.00 | 0.933 | 0.825 | 0.00 |
The v2 recipe is more cyber-open (100 vs 93), less confabulating (0.87 vs 1.0), and more factually
accurate (1.0 vs 0.93) than the previous Cyber, with equivalent reasoning and zero degeneration.
Quants
-W4A16-AWQ— 4-bit weight AWQ (compressed-tensors), MTP head grafted-NVFP4— NVFP4 (E2M1 4-bit / FP8 scales), MTP head grafted-GGUF— llama.cpp GGUF quants + visionmmproj+ MTP head
Note
Uncensored / de-refused, tuned to fully answer cyber and offensive-security questions. Use responsibly and
in compliance with applicable law.