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BARKEM/Qwen3.8-27B-Uncensored-W4A16-CT

BARKEM 27B multimodal second-order 
curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/BARKEM%2FQwen3.8-27B-Uncensored-W4A16-CT"
Response includes
  • classification m-uncensored
  • files 22
  • author_summary 1 models
  • readme_text full
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What "m-uncensored" means · taxonomy
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
How we label → About M-U →
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
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Model age
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created 2026-09-27

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This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

orcarouter/Qwen3.8-27B-Uncensored↓ 25,984 this lineage
BARKEM/Qwen3.8-27B-Uncensored-W4A16-CT

Metadata

License
apache-2.0
Tags
safetensors qwen3_5 compressed-tensors w4a16 auto-round mtp uncensored hyperqwen image-text-to-text conversational base_model:orcarouter/Qwen3.8-27B-Uncensored base_model:quantized:orcarouter/Qwen3.8-27B-Uncensored

Related

Same base model
bartowski/orcarouter_Qwen3.8-27B-Uncensored-GGUF 154K pyros-vault/Qwen3.8-27B-Uncensored-NInfer 49K xidisdg/qwen3.8_27b-uncensored-ninfer 32K RentedNoodle/Qwen3.8-27B-OrcaRouter-GSQ-RCO-IQ3_XXS-Uncensored 28K fleetml/Qwen3.8-27B-Uncensored-NVFP4-RTX5090 27K
Total size
18.1 GB
Files
22
Quantizations
1
Registered
2026-09-27 00:57
Last updated on HF
2026-09-27 00:14
Source huggingface.co/BARKEM/Qwen3.8-27B-Uncensored-W4A16-CT ↗ Base model orcarouter/Qwen3.8-27B-Uncensored →

Files by quantization

Auxiliary files 22 files 18.1 GB
model-00004-of-00007.safetensors 3.00 GB 99b4552c download
model-00001-of-00007.safetensors 2.99 GB 1b9a5303 download
model-00002-of-00007.safetensors 2.98 GB 6dabad06 download
model-00003-of-00007.safetensors 2.98 GB e3a913e0 download
model-00006-of-00007.safetensors 2.37 GB da51fa48 download
model-00007-of-00007.safetensors 2.37 GB 6866cf8a download
model_extra_tensors.safetensors 810 MB 7a9fd4ee download
model-00005-of-00007.safetensors 667 MB 0994bb8d download
tokenizer.json 19.1 MB 06b95093 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 194 KB e3a119c1 download
config.json 15.0 KB f083264c download
quantization_config.json 10.9 KB 78f6d624 download
chat_template.jinja 8.74 KB c0c686f9 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.28 KB 3e1f70f1 download
processor_config.json 1.19 KB 43c4343e download
tokenizer_config.json 1.14 KB 1d134cd2 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 214 B c53835dc download

README current version from Hugging Face

license: apache-2.0
base_model:

  • orcarouter/Qwen3.8-27B-Uncensored
    tags:
  • compressed-tensors
  • w4a16
  • auto-round
  • qwen3_5
  • mtp
  • uncensored
  • hyperqwen
    pipeline_tag: image-text-to-text

Qwen3.8-27B Uncensored (orcarouter), W4A16 compressed-tensors

A 4-bit weight-only quant of orcarouter/Qwen3.8-27B-Uncensored, an abliteration of the official Qwen3.8-27B. It is quantized the way dbirks/Qwen3.8-27B-W4A16-AutoRound is, so HyperQwen's prep and kernels apply and plain vLLM loads it with Marlin.

  • Format: compressed-tensors pack-quantized, int4, group 128, symmetric.
  • Quantizer: Intel AutoRound 0.15.0, 128 samples of NeelNanda/pile-10k at 2048 tokens, 200 iterations, seed 42.
  • Kept in BF16: GatedDeltaNet in_proj_a / in_proj_b, the vision tower, the MTP head and lm_head.
  • MTP head included (15 tensors), so --speculative-config '{"method":"mtp","num_speculative_tokens":3}' works.
  • Size: 19.5 GB. Quantized in 34 minutes on one RTX 5090.

The refusal-removal results and benchmarks are on the source model card. Credit for the abliteration goes to orcarouter, and for the base model to the Qwen team (Apache 2.0).

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