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windowsxp811203/Qwen3.8-27B-Abliterated-MTP-bf16

windowsxp811203 27B second-order
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     "https://abliteration.org/api/v1/models/windowsxp811203%2FQwen3.8-27B-Abliterated-MTP-bf16"
Response includes
  • classification m1
  • files 9
  • author_summary 16 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
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created 2026-09-19

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Metadata

License
apache-2.0
Languages
en zh
Tags
mlx safetensors qwen3_5_mtp mlx-vlm mtp speculative-decoding draft-model qwen3.8 qwen abliterated text-generation conversational

Related

Total size
810 MB
Files
9
Quantizations
1
Registered
2026-09-19 02:56
Last updated on HF
2026-09-19 02:38

Files by quantization

Auxiliary files 9 files 829 MB
model.safetensors 810 MB f9dad46a download
tokenizer.json 12.2 MB 0997f410 download
vocab.json 6.41 MB 0aa0ce06 download
ABLIT_META.json 19.1 KB da953988 download
tokenizer_config.json 17.5 KB 5de744b3 download
LICENSE 11.3 KB f938136e download
README.md 3.58 KB 0deeaa24 download
config.json 2.91 KB 4462866f download
.gitattributes 1.53 KB 52373fe2 download

README current version from Hugging Face


license: apache-2.0
base_model: windowsxp811203/Qwen3.8-27B-Abliterated
pipeline_tag: text-generation
library_name: mlx
tags:

  • mlx
  • mlx-vlm
  • qwen3_5_mtp
  • mtp
  • speculative-decoding
  • draft-model
  • qwen3.8
  • qwen
  • abliterated
    language:
  • en
  • zh

Qwen3.8-27B-Abliterated-MTP-bf16

The MTP drafter weights split out of
windowsxp811203/Qwen3.8-27B-Abliterated
, in bf16,
for mlx-vlm speculative decoding.

This is not a standalone model. Pair it with a Qwen3.8-27B-Abliterated MLX target; the target supplies the token
embeddings and the LM head at runtime. Use the abliterated drafter with abliterated targets only: the parent's
abliteration edited the MTP head together with the trunk (ABLIT_META.edit_mtp: true), so the base-Qwen drafters
(mlx-community/Qwen3.8-27B-MTP-*) are mismatched with these targets and vice versa.

Use with mlx-vlm

pip install -U mlx-vlm
hf download windowsxp811203/Qwen3.8-27B-Abliterated-MLX-MTP --include "oQ4e/*" --include "drafter/*" --local-dir ./mlx-mtp
python -m mlx_vlm.generate --model ./mlx-mtp/oQ4e --draft-model ./mlx-mtp/drafter \
  --prompt "Write a quicksort in Python." --max-tokens 512

--draft-kind mtp is detected automatically from model_type. Measured on an M5 Max 128 GB with mlx-vlm
0.6.17, temperature 0: single prompt (36 tokens), 300 generated tokens, best run per arm across 3 sessions: oQ4e 31.1 → 39.9 tok/s (1.29×, 90.6% of drafts accepted; plain runs 24.0–31.1 n=5, drafter runs 33.1–39.9 n=3); oQ8e 18.0 → 34.8 tok/s (1.94×, 88.4% of drafts accepted; plain runs 14.5–18.0 n=5, drafter runs 26.4–34.8 n=3); oQ6e 22.1 → 20.2 tok/s (0.91×, 88.4% of drafts accepted; plain runs 18.9–22.1 n=5, drafter runs 16.9–20.2 n=3). The 6-bit target gains nothing from this path in our runs (the 6-bit affine kernels appear to leave no headroom for the multi-token verify pass; oQ6e+drafter is even slower than oQ8e+drafter) — use oMLX's in-checkpoint MTP there.

Targets (folders of the project repo): oQ4e/ · oQ6e/ ·
oQ8e/ · bf16/ (the drafter path was measured on the three oQ targets only). Those checkpoints also carry the
MTP head inside the file for oMLX; this repo is only needed for the mlx-vlm
--draft-model path.

Model details

  • Model type: qwen3_5_mtp · block size 3 · 15 tensors · bf16 · 810 MiB (849,400,335 bytes)
  • Extracted with mlx_vlm.split_mtp (0.6.17) directly from the HF bf16 parent; norms carry MLX's +1 RMSNorm convention.
  • Speculative decoding is distribution-preserving: drafts are verified against the target's own distribution, so acceptance only changes speed. It is not bit-exact under bf16 kernels — greedy outputs can diverge after a near-tie token.

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