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mecha-factory/Qwen3.6-35B-A3B-Uncensored-MTP-GGUF

mecha-factory 35B GGUF MoE multimodal second-order
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  • classification m-uncensored
  • files 4
  • author_summary 1 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.

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Model age
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created 2026-10-20

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Metadata

License
apache-2.0
Quantizations
Q4_K
Tags
gguf uncensored qwen3.6 moe mtp speculative-decoding image-text-to-text base_model:HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive base_model:merge:HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive base_model:unsloth/Qwen3.6-35B-A3B-MTP-GGUF base_model:merge:unsloth/Qwen3.6-35B-A3B-MTP-GGUF license:apache-2.0

Related

Total size
20.2 GB
Files
4
Quantizations
2
Registered
2026-10-20 01:00
Last updated on HF
2026-10-20 00:05

Files by quantization

Q4_K 1 file 20.2 GB
Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M-MTP.gguf 20.2 GB 8290c5ba download
Auxiliary files 3 files 15.7 KB
LICENSE 11.1 KB 1d5180a4 download
README.md 3.06 KB 462a9874 download
.gitattributes 1.58 KB 3ac0b537 download

README current version from Hugging Face


license: apache-2.0
license_link: LICENSE
base_model:

  • HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive
  • unsloth/Qwen3.6-35B-A3B-MTP-GGUF
    base_model_relation: merge
    tags:
  • uncensored
  • qwen3.6
  • moe
  • gguf
  • mtp
  • speculative-decoding
    pipeline_tag: image-text-to-text

Qwen3.6-35B-A3B Uncensored (HauhauCS Aggressive) Q4_K_M, with MTP head

This is an uncensored model. Its refusals were trained out by its author, so it
answers what the base model would decline. You are responsible for how you use it.

HauhauCS's uncensored Qwen3.6-35B-A3B at Q4_K_M, with the multi-token-prediction
(MTP) head from unsloth's conversion of the original model grafted on, so
llama.cpp can draft with it (--spec-type draft-mtp). This is the file
mecha installs as the catalog model
qwen3.6-35b-a3b-uncensored; hosting it saves building the graft locally.

What was changed

Nothing was retrained or requantized. The file was made by
scripts/mtp-graft.py
(gguf 0.19.0, numpy 2.5.3) from two inputs:

Role Repository @ revision File sha256
Base (every tensor and key copied byte for byte) HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive @ f12a584f Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf bbef58c3…4231
Donor (contributes only blk.40.*, the MTP head, and nextn_predict_layers) unsloth/Qwen3.6-35B-A3B-MTP-GGUF @ 5bc3e238 Qwen3.6-35B-A3B-UD-Q4_K_M.gguf 0b21525e…c58b

block_count goes from 40 to 41. Speculation never changes what the model says:
every drafted token is verified by the base model, so a head trained on the
original model costs only acceptance (0.79–0.86 measured on Apple Metal, about
0.6 on CUDA at 2 drafted tokens).

The graft is deterministic. Built independently on two machines, the output was
byte-identical:

sha256 8290c5bae3c744a9654281358e45669e158a9af2f0a23ad2a939bcb84528204f
bytes  21695616448

Use

llama-server -m Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M-MTP.gguf \
  --mmproj mmproj-Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf \
  --spec-type draft-mtp --spec-draft-n-max 2 \
  --temp 0.6 --top-p 0.95 --top-k 20 --min-p 0

The vision projector is not copied here; take it from
HauhauCS's repository.

Credits and license

All three are released under the Apache License 2.0, and so is this file. The
license text is in LICENSE. "Qwen" names the model this is derived
from; it does not imply endorsement by the Qwen team.

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