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Shiftedx/ornith-1.5-9b-abliterated-attention8-bf16recurrence-vision-mtplx

Shiftedx Qwen 8.9B multimodal
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  • classification m1
  • files 19
  • hub_downloads_all_time 561
  • author_summary 24 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)
Downloads · lifetime
561
221 last 30d - stable
Likes
0
Model age
6w ago
created 2026-08-25
Downloads over time
Now643→from139↑363%
114307500693139 on Aug 26643 on Oct 11AugSepOct
Aug 26 → Oct 11 · 47 snapshots · spans 46 days

Genealogy 0 direct forks

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Metadata

License
mit
Tags
mlx safetensors qwen3_5 mlx-vlm mtplx qwen3.5 vision multi-token-prediction abliterated image-text-to-text conversational base_model:ornith-ai/Ornith-1.5-9B

Related

Total size
8.24 GB
Files
19
Quantizations
1
Registered
2026-08-25 03:02
Last updated on HF
2026-08-25 02:36

Files by quantization

Auxiliary files 19 files 8.26 GB
model-00001-of-00002.safetensors 4.95 GB 336ff2bc download
model-00002-of-00002.safetensors 2.44 GB 1fcc935e download
model-vision-00001-of-00001.safetensors 870 MB b8482927 download
tokenizer.json 12.2 MB 5f9e4d49 download
vocab.json 6.41 MB 0aa0ce06 download
merges.txt 3.20 MB a494e019 download
model.safetensors.index.json 108 KB 6174c59c download
config.json 48.2 KB 9b9ba20f download
tokenizer_config.json 16.3 KB eda48d3e download
chat_template.jinja 7.42 KB f8cbff56 download
RELEASE_MANIFEST.json 2.96 KB 1d0901e6 download
conversion_receipt.json 2.57 KB 2d102bd1 download
mtplx_runtime.json 2.50 KB 3e76cad8 download
README.md 1.66 KB e07c3bba download
.gitattributes 1.53 KB 52373fe2 download
SHA256SUMS 1.47 KB e74de1de download
processor_config.json 1.16 KB 33818c7f download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download

README current version from Hugging Face


license: mit
license_link: https://huggingface.co/ornith-ai/Ornith-1.5-9B/blob/489cb97981b8654bcfcf30ce1f94ed1b62e07b53/LICENSE
base_model:

  • ornith-ai/Ornith-1.5-9B
    base_model_relation: quantized
    library_name: mlx
    pipeline_tag: image-text-to-text
    tags:
  • mlx
  • mlx-vlm
  • mtplx
  • qwen3.5
  • vision
  • multi-token-prediction
  • abliterated

ornith-1.5-9b-abliterated-attention8-bf16recurrence-vision-mtplx

Behavior-modified, vision-preserving hybrid MLX quant of ornith-ai/Ornith-1.5-9B, pinned to revision 489cb97981b8654bcfcf30ce1f94ed1b62e07b53.

Format

  • 130 attention-sensitive modules at affine 8-bit; 72 trunk modules at affine 4-bit
  • 48 recurrent input projections and the 333-tensor vision tower retained in BF16
  • All 15 native source mtp.* tensors retained in BF16 (SHA-256 435b631a5c36c28c8a9b73f30e257fece090d828076e73a43e1b24aedcddd9cb)
  • MTPLX 2.9.1, MLX 0.32.1, MLX-LM 0.31.3; recommended native-MTP depth: D1

Measured locally

  • D1: 73.03 decode tok/s; AR: 49.54 tok/s (1.47x) on an M4 Max 64 GiB, fans automatic
  • Frozen held-out refusal rate: 100% parent -> 8.3% abliterated
  • Held-out benign refusal: 0%; utility pass: 100%
  • Deterministic text, vision (HUNTER), structural, and MTP tensor-contract checks passed
mtplx inspect --require-mtp Shiftedx/ornith-1.5-9b-abliterated-attention8-bf16recurrence-vision-mtplx
mtplx quickstart --model Shiftedx/ornith-1.5-9b-abliterated-attention8-bf16recurrence-vision-mtplx --mtp --depth 1

This is an experimental quant and behavior edit. Review the source model card and validate it for your use case.

README history 1 version

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

  1. 2026-08-25Add files using upload-large-folder tool607420b1.7 KB
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