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TheCluster/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-MLX-mxfp8

TheCluster Qwen 35B MoE multimodal second-order
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Response includes
  • classification m-uncensored
  • files 19
  • hub_downloads_all_time 5,989
  • author_summary 28 models
  • readme_text full
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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
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? →
Downloads · lifetime
6K
288 last 30d - cooling
Likes
4
Model age
6mo ago
created 2026-03-17
Downloads over time
Now6.1K→from286↑2,026%
02.2K4.4K6.7K286 on Mar 186.1K on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 69 snapshots · spans 207 days

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Languages
en zh ru es fr it ja ko af de ar tr is pl sw sv nl he id uk fa pa pt ms fi el
Tags
mlx safetensors qwen3_5_moe uncensored unrestricted decensored mxfp8 image-text-to-text conversational en zh ru

Related

Total size
34.1 GB
Files
19
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-03-19 02:05

Files by quantization

Auxiliary files 19 files 34.1 GB
model-00004-of-00008.safetensors 4.85 GB 09767d95 download
model-00006-of-00008.safetensors 4.85 GB ec752f69 download
model-00002-of-00008.safetensors 4.85 GB ab8ea587 download
model-00003-of-00008.safetensors 4.84 GB fe10533a download
model-00005-of-00008.safetensors 4.84 GB 0385ba87 download
model-00001-of-00008.safetensors 4.84 GB 86052750 download
model-00007-of-00008.safetensors 4.55 GB 543fa9fd download
model-00008-of-00008.safetensors 500 MB 4d81b79b download
tokenizer.json 19.1 MB 639e352c download
model.safetensors.index.json 165 KB 3c97f132 download
config.json 23.1 KB e203efe4 download
chat_template.jinja 7.46 KB 1f70ea86 download
README.md 2.41 KB e1e99cc0 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.27 KB 7ad6acdf download
tokenizer_config.json 1.21 KB 08e416fe download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 213 B a0d4001b download

README current version from Hugging Face


license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-27B/blob/main/LICENSE
base_model:

  • HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive
    base_model_relation: quantized
    library_name: mlx
    tags:
  • uncensored
  • unrestricted
  • decensored
  • mxfp8
    pipeline_tag: image-text-to-text
    language:
  • en
  • zh
  • ru
  • es
  • fr
  • it
  • ja
  • ko
  • af
  • de
  • ar
  • tr
  • is
  • pl
  • sw
  • sv
  • nl
  • he
  • id
  • uk
  • fa
  • pa
  • pt
  • ms
  • fi
  • el

Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive

Qwen3.5-35B-A3B uncensored by HauhauCS.

Quality: quantized (mxfp8, group size: 32, 8.349 bpw)

About

No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.

These are meant to be the best lossless uncensored models out there.

Aggressive Variant

Stronger uncensoring with more thorough refusal removal. If this variant is too loose for your use case, a Balanced variant may follow.

Note: The model is fully unlocked and will not refuse prompts. However, it may occasionally append a short disclaimer at the end of a response (e.g. "This is general information, not legal advice..."). This is baked into the base model's training and not a refusal — the actual content is still generated in full.

Specs

  • 35B total parameters, ~3B active per forward pass (MoE)
  • 256 experts, 8 routed + 1 shared per token
  • Hybrid architecture: Gated DeltaNet linear attention + full softmax attention (3:1 ratio)
  • 40 layers, pattern: 10 x (3 x DeltaNet-MoE + 1 x Attention-MoE)
  • 262K native context (extendable to 1M with YaRN)
  • Natively multimodal (text, image, video)
  • Multi-token prediction (MTP) support
  • 248K vocabulary, 201 languages
  • Based on Qwen/Qwen3.5-35B-A3B

Recommended Settings

From the official Qwen authors:

Thinking mode (default):

  • General: temperature=1.0, top_p=0.95, top_k=20, min_p=0, presence_penalty=1.5
  • Coding/precise tasks: temperature=0.6, top_p=0.95, top_k=20, min_p=0, presence_penalty=0
    Non-thinking mode:
  • General: temperature=0.7, top_p=0.8, top_k=20, min_p=0, presence_penalty=1.5
  • Reasoning tasks: temperature=1.0, top_p=1.0, top_k=40, min_p=0, presence_penalty=2.0

Source

This model was converted to MLX format from HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive

README history 2 versions

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

  1. 2026-03-18Update README.md059cb022.4 KB
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  2. 2026-03-17initial commitb7fa7a828 B
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