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xy10086/Qwen3.8-9B-Distill-Uncensored-Heretic-MTPLX-Q6G64

xy10086 9.0B multimodal second-order
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Response includes
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  • files 18
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · lifetime
1K
Likes
3
Model age
6w ago
created 2026-09-11
Downloads over time
Now3.1K→from0↑0%
01.1K2.3K3.4K0 on Sep 113.1K on Oct 27SepOct
Sep 11 → Oct 27 · 47 snapshots · spans 46 days

Genealogy 0 direct forks

Full fork graph →

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

Metadata

License
apache-2.0
Languages
en zh
Tags
mlx safetensors qwen3_5 qwen qwen3.8 mtplx apple-silicon mtp speculative-decoding multimodal vision quantized

Related

Total size
8.08 GB
Files
18
Quantizations
1
Registered
2026-09-11 18:55
Last updated on HF
2026-09-11 18:16

Files by quantization

Auxiliary files 18 files 8.10 GB
model-00001-of-00002.safetensors 4.99 GB 07b0dda7 download
model-00002-of-00002.safetensors 1.79 GB f9b62b84 download
model-vision.safetensors 870 MB 3db643f3 download
mtp.safetensors 464 MB 0919fab4 download
tokenizer.json 19.1 MB 06b95093 download
model.safetensors.index.json 113 KB d27d8ffd download
chat_template.jinja 7.57 KB a585dec8 download
mtplx_runtime.json 3.93 KB 5cc217cc download
config.json 3.56 KB ba29714e download
README.md 3.14 KB e8a38767 download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.17 KB ffb89ca0 download
processor_config.json 1.16 KB 33818c7f download
benchmarks.json 810 B f18ae7c2 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 164 B aaaf57bd download
forge-recipe.json 100 B 0da39ebc download

README current version from Hugging Face


license: apache-2.0
base_model: petruhonk/Qwen3.8-9B-Distill-uncensored-heretic
pipeline_tag: image-text-to-text
language:

  • en
  • zh
    tags:
  • qwen
  • qwen3.8
  • mtplx
  • mlx
  • apple-silicon
  • mtp
  • speculative-decoding
  • multimodal
  • vision
  • quantized
  • 6-bit
  • uncensored

Qwen3.8-9B-Distill-Uncensored-Heretic-MTPLX-Q6G64

MTPLX / Apple Silicon optimized Q6G64 conversion of:

petruhonk/Qwen3.8-9B-Distill-uncensored-heretic

Repository:

xy10086/Qwen3.8-9B-Distill-Uncensored-Heretic-MTPLX-Q6G64

Highlights

  • Qwen3.8 9B multimodal architecture
  • Q6 affine quantization, group size 64
  • Native BF16 MTP head preserved
  • 15/15 MTP tensors
  • BF16 vision tower preserved
  • 333 vision tensors
  • Image input verified
  • MTP speculative decoding verified
  • Recommended MTP depth: 2
  • Tested on Apple M5 Pro, 48 GB unified memory

Provenance

Source model:

petruhonk/Qwen3.8-9B-Distill-uncensored-heretic

Upstream model:

empero-ai/Qwen3.8-9B-Distill

The source repository did not include the vision preprocessing sidecars
required by MTPLX. Matching preprocessor_config.json and
video_preprocessor_config.json were restored from the upstream
empero-ai/Qwen3.8-9B-Distill repository.

The source vision weights were preserved by MTPLX Forge and stored in
model-vision.safetensors.

Quantization

Main language-model trunk:

  • 6-bit
  • Group size 64
  • Affine quantization

MTP:

  • BF16
  • 15 tensors
  • Not requantized

Vision:

  • BF16
  • 333 tensors
  • About 870 MiB on disk

Forge recipe: forge-recipe.json

Tested software

  • MTPLX 2.11.2
  • MLX 0.32.2
  • mlx-lm 0.31.3

Recommended configuration

  • Profile: sustained
  • MTP depth: 2
  • Context window: 32768
  • Max response tokens: 8192

Benchmarks

MTPLX Forge verification

Mode Decode tok/s
AR 32.42
D1 58.91
D2 71.70
D3 70.90

Real Chinese chat

Depth Avg decode tok/s Avg TTFT
D1 49.41 0.159 s
D2 50.73 0.134 s
D3 46.38 0.135 s

Vision test

  • 869 prompt tokens
  • 336 completion tokens
  • 65.30 decode tok/s
  • Successful screenshot understanding and OCR
  • Approx. 10.53 GB peak runtime memory

See benchmarks.json for the machine-readable summary.

Usage

Pull:

mtplx pull xy10086/Qwen3.8-9B-Distill-Uncensored-Heretic-MTPLX-Q6G64

Serve:

mtplx serve \
  --model xy10086/Qwen3.8-9B-Distill-Uncensored-Heretic-MTPLX-Q6G64 \
  --host 127.0.0.1 \
  --port 8000 \
  --profile sustained \
  --generation-mode mtp \
  --depth 2 \
  --context-window 32768 \
  --max-tokens 8192 \
  --reasoning off \
  --reasoning-effort low \
  --no-auth \
  --yes

OpenAI-compatible endpoint:

http://127.0.0.1:8000/v1

Behavior

This model is derived from a low-refusal / censorship-ablated checkpoint.
Lower refusal behavior does not imply higher factual accuracy.

Medical, legal, financial and other high-stakes outputs should be
independently verified.

Credits

  • petruhonk/Qwen3.8-9B-Distill-uncensored-heretic
  • empero-ai/Qwen3.8-9B-Distill
  • MTPLX

License

Apache-2.0. Review the upstream repositories for their attribution and
license requirements as well.

README history 1 version

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

  1. 2026-09-11Initial MTPLX Q6G64 release8aab4ee3.1 KB
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