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zeeksa/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-FP8-Dynamic

zeeksa Qwen 24B multimodal second-order
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  • classification m-uncensored
  • files 11
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  • author_summary 3 models
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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
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Downloads · lifetime
2K
123 last 30d - cooling
Likes
1
Model age
2mo ago
created 2026-07-16
Downloads over time
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Metadata

License
apache-2.0
Tags
safetensors qwen3_5 qwen3.6 uncensored vision not-for-all-audiences fp8 compressed-tensors vllm base_model:HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive base_model:quantized:HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive license:apache-2.0

Related

Total size
29.1 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-07-16 19:03

Files by quantization

Auxiliary files 11 files 29.1 GB
model-00001-of-00002.safetensors 28.3 GB fb7b4dd4 download
model-00002-of-00002.safetensors 810 MB ecba8ef1 download
tokenizer.json 12.2 MB 5f9e4d49 download
model.safetensors.index.json 154 KB 9caa041f download
tokenizer_config.json 16.3 KB 28d96ff3 download
config.json 14.7 KB 80dd3855 download
README.md 2.04 KB 2b62f106 download
.gitattributes 1.53 KB 52373fe2 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 202 B 023756cf download

README current version from Hugging Face


license: apache-2.0
base_model: HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive
tags:

  • qwen3.6
  • safetensors
  • uncensored
  • vision
  • not-for-all-audiences
  • fp8
  • compressed-tensors
  • vllm

Qwen3.6-27B Uncensored HauhauCS Aggressive — FP8-Dynamic

vLLM-native FP8 quantization (compressed-tensors, data-free dynamic scheme) of the HauhauCS uncensored finetune.

Provenance & fidelity: HauhauCS released this finetune only as GGUF — no safetensors
source exists publicly. These weights were dequantized from the highest-fidelity public
artifact (Q8_K_P GGUF, which internally is Q8_0/F16/F32 tensors) back into the official
Qwen/Qwen3.6-27B HF layout, with every tensor validated against the stock checkpoint's
exact shape and dtype (1199/1199). Quality ceiling is therefore Q8 (near-lossless vs the
author's private BF16), not true BF16.

  • Vision tower included (rebuilt from the author's f16 mmproj; qkv re-fused, Conv3D
    patch-embed re-stacked) — full image/video input support.
  • MTP head included (mtp.*, taken from stock Qwen/Qwen3.6-27B since the finetune
    never shipped one) — enables speculative decoding in engines that support Qwen3.6 MTP.
  • Tokenizer/configs from stock Qwen/Qwen3.6-27B (the finetune does not modify them).

Usage (vLLM)

vllm serve zeeksa/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-FP8-Dynamic

compressed-tensors FP8_DYNAMIC (float-quantized weights, dynamic per-token activations).
Linear layers FP8; lm_head and the vision tower kept BF16. ~31 GB.

Related

Note: Qwen3.6's gated attention is new — use a recent transformers (>=5.10) / recent vLLM;
older engine versions may not support the architecture.

README history 1 version

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

  1. 2026-07-16Upload folder using huggingface_hubcf988fb2 KB
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