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philbert440/Qwen3.8-27B-Uncensored-Cyber-MLX-4bit

philbert440 Qwen 27B second-order
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Response includes
  • classification m1
  • files 11
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  • author_summary 20 models
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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
1K
660 last 30d - active
Likes
1
Model age
7w ago
created 2026-08-21
Downloads over time
Now1.3K→from120↑1,023%
595291K1.5K120 on Aug 191.3K on Oct 12AugSepOct
Aug 19 → Oct 12 · 49 snapshots · spans 54 days

Genealogy 0 direct forks

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Metadata

Tags
mlx safetensors qwen3_5 uncensored abliterated apple-silicon text-generation conversational base_model:philbert440/Qwen3.8-27B-Uncensored-Cyber base_model:quantized:philbert440/Qwen3.8-27B-Uncensored-Cyber 4-bit region:us

Related

Total size
14.1 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-21 04:26

Files by quantization

Auxiliary files 11 files 14.1 GB
model-00002-of-00003.safetensors 4.99 GB 1bdacf19 download
model-00001-of-00003.safetensors 4.96 GB 12273fbc download
model-00003-of-00003.safetensors 4.14 GB 72a80ab1 download
tokenizer.json 19.1 MB 06b95093 download
model.safetensors.index.json 185 KB 8cabf784 download
chat_template.jinja 8.74 KB c0c686f9 download
config.json 4.01 KB 7f9625fe download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.13 KB 8d610519 download
README.md 1.01 KB 9ad8dda9 download
generation_config.json 214 B 8b9f95da download

README current version from Hugging Face


base_model: philbert440/Qwen3.8-27B-Uncensored-Cyber
tags:

  • mlx
  • qwen3_5
  • uncensored
  • abliterated
  • apple-silicon
    library_name: mlx
    pipeline_tag: text-generation

Qwen3.8-27B-Uncensored-Cyber-MLX-4bit

4-bit MLX quantization of philbert440/Qwen3.8-27B-Uncensored-Cyber
for Apple Silicon (MLX). Group size 64, affine 4-bit.

Cyber/offensive-security specialized de-refusal of Qwen3.8-27B (built on the Aggressive base + a residual-cyber
peel) — fully open on the cyber domain. See the base model card for recipe and evaluation details.

Run

pip install mlx-lm
mlx_lm.generate --model philbert440/Qwen3.8-27B-Uncensored-Cyber-MLX-4bit --prompt "..."

Requires mlx-lm >= 0.31.3 (adds the qwen3_5 architecture).

Note

Uncensored model — you are responsible for how you use it. Thinking-mode use benefits from an ample token
budget and sampling (temp ~0.7); greedy/temperature-0 can loop on long open-ended prompts.

README history 1 version

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

  1. 2026-08-21Add 4-bit MLX quant (mlx_lm 0.31.3, affine g64)fca4a561 KB
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