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Stickmouse/stickmouse-Ornith-1.0-9B-abliterated-Fable-Opus-4.7-Distilled-SFT

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  • files 7
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  • author_summary 8 models
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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
119
12 last 30d - stable
Likes
0
Model age
2mo ago
created 2026-07-27
Downloads over time
Now122→from0↑0%
045891340 on Jul 29122 on Oct 11JulAugSepOct
Jul 29 → Oct 11 · 51 snapshots · spans 74 days

Variants by this author 2 formats · 121 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

Tags
safetensors qwen3_5 abliterated fable opus ornith conversational finetune en base_model:YuYu1015/YuYu1015-Ornith-1.0-9B-abliterated base_model:finetune:YuYu1015/YuYu1015-Ornith-1.0-9B-abliterated license:apache-2.0

Related

Total size
17.5 GB
Files
7
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-29 21:02

Files by quantization

Auxiliary files 7 files 17.5 GB
model.safetensors 17.5 GB 1ccf1d7e download
tokenizer.json 19.1 MB 6f32ce20 download
chat_template.jinja 7.42 KB 11be7e25 download
config.json 2.84 KB 091d2e78 download
.gitattributes 1.87 KB 8603d397 download
README.md 1.55 KB b7e6e68a download
tokenizer_config.json 1.14 KB 1d134cd2 download

README current version from Hugging Face

---
license: apache-2.0
language:

  • en
    base_model: YuYu1015/YuYu1015-Ornith-1.0-9B-abliterated
    tags:
  • qwen3_5
  • abliterated
  • fable
  • opus
  • ornith
  • conversational
  • finetune

Stickmouse-Ornith-1.0-9B-abliterated-Fable-Opus-4.7-Distilled-SFT

First-ever finetune done entirely on local hardware. This is Ornith-9B finetuned on a Claude Opus/Fable-distilled dataset — as far as I know, no one else has finetuned Ornith-9B on this kind of dataset before.

Training details

  • Base model: YuYu1015/YuYu1015-Ornith-1.0-9B-abliterated — thanks to YuYu1015 for the abliteration, saved me from having to do it myself.
  • Method: QLoRA
  • Steps: 3546 steps, targeting 2–3 epochs
  • Hardware: Tesla P100 16GB + Titan V 12GB (2016–2018 era cards)
  • Status: Training was interrupted by storage running out at ~71% completion. The released checkpoint reflects that partial run, but still performs well.

This was built on a budget with old hardware — no cloud compute, no big GPU rental. If you're working with even more limited hardware and know how to make it work, I'd love to hear from you.

Planned future finetunes

  • Qwen3.5-9B
  • Attempting Qwen3.6-35B-A3B via QLoRA (ambitious given the hardware, but going to try)

Quantized versions

GGUF quants (f16, Q8_0, Q4_K_M) are available at: Stickmouse/stickmouse-Ornith-1.0-9B-abliterated-Fable-Opus-4.7-Distilled-SFT-GGUF

README history 3 versions

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

  1. 2026-08-01Upload README.md with huggingface_hub89453021.6 KB
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  2. 2026-07-27Update README.mde882724264 B
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  3. 2026-07-27initial commitaed751128 B
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