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philbert440/Qwen3.8-27B-Uncensored-Cyber-W4A16-AWQ

philbert440 Qwen 24B multimodal second-order
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
5K
1K last 30d - stable
Likes
5
Model age
8w ago
created 2026-08-16
Downloads over time
Now5.3K→from123↑4,183%
01.9K3.9K5.8K123 on Aug 185.3K on Oct 11AugSepOct
Aug 18 → Oct 11 · 49 snapshots · spans 54 days

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
safetensors qwen3_5 uncensored abliterated qwen3 cyber awq w4a16 compressed-tensors image-text-to-text conversational base_model:philbert440/Qwen3.8-27B-Uncensored-Cyber

Related

Total size
18.2 GB
Files
14
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-19 15:16

Files by quantization

Auxiliary files 14 files 18.2 GB
model.safetensors 17.4 GB ce431380 download
model-mtp.safetensors 810 MB 90fa0e3e download
tokenizer.json 19.1 MB 06b95093 download
model.safetensors.index.json 201 KB f89faa40 download
config.json 20.4 KB f1640044 download
recipe.yaml 11.2 KB 13381849 download
chat_template.jinja 8.74 KB c0c686f9 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.28 KB ebf263cc download
processor_config.json 1.16 KB 33818c7f download
tokenizer_config.json 1.10 KB d1a20cc3 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 214 B 8a2e2eff download

README current version from Hugging Face


license: apache-2.0
base_model: philbert440/Qwen3.8-27B-Uncensored-Cyber
tags: [uncensored, abliterated, qwen3, cyber, awq, w4a16, compressed-tensors]
pipeline_tag: image-text-to-text

Qwen3.8-27B-Uncensored-Cyber — W4A16 AWQ

4-bit weight (W4A16) AWQ quant of Qwen3.8-27B-Uncensored-Cyber (v2 recipe), compressed-tensors format.
Vision tower and the grafted MTP head are preserved.

Recipe (v2)

α=1.15 Aggressive base + a residual-cyber peel: cyber-pointed refusal direction removed by clean
norm-preserving projection (β=1.0) applied only to the deeper layers (apply_from=4, retaining the first 4
layers). Fully cyber-open without wrecking general capability.

Evaluation (bf16 parent, Claude-judged; cyber = 100 held-out cyber-offensive prompts, regex refusal harness)

cyber-open ↑ confab ↓ factual ↑ gsm8k ↑ degen ↓
Cyber v2 (this line) 100/100 0.867 1.00 0.80 0.00
previous Cyber build 93/100 1.00 0.933 0.825 0.00

Quant: AWQ, group size 128, MSE observer, 256 Magpie-CoT calibration samples @1024 tokens, MTP head grafted.

Note

Uncensored / de-refused, tuned to fully answer cyber and offensive-security questions. Use responsibly and in compliance with applicable law.

README history 3 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-08-19Upload README.md with huggingface_hubd6db3e11.3 KB
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  2. 2026-08-19Upload folder using huggingface_hube513cba1.4 KB
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  3. 2026-08-16Upload folder using huggingface_hub2a107cf1.3 KB
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Discussions 1 thread

  1. 2026-08-25AWQ Conversionopen1 💬#1
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