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josephmayo/Fara-7B-Abliterated-v2

josephmayo Phi 8.3B
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Response includes
  • classification m1
  • files 13
  • hub_downloads_all_time 221
  • author_summary 4 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
221
22 last 30d - cooling
Likes
0
Descendants
3
in 3 direct forks
Model age
4mo ago
created 2026-05-24
Downloads over time
Now230→from116↑98%
110154198241116 on Jun 10230 on Oct 11230 on Oct 9JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Genealogy 3 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.

Variants by this author 2 formats · 178 downloads combined

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

Metadata

License
other
Tags
transformers safetensors qwen2_5_vl image-text-to-text abliteration refusal-removal uncensored research orthogonalization text-generation conversational base_model:microsoft/Fara-7B

Related

Total size
15.4 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-05-24 14:10

Files by quantization

Auxiliary files 13 files 15.5 GB
model-00004-of-00005.safetensors 3.72 GB f517d0a0 download
model-00001-of-00005.safetensors 3.72 GB 62bbeaf6 download
model-00002-of-00005.safetensors 3.65 GB 744c2022 download
model-00003-of-00005.safetensors 3.60 GB 179ee472 download
model-00005-of-00005.safetensors 781 MB 19635ee9 download
tokenizer.json 10.9 MB 2f55e633 download
model.safetensors.index.json 56.3 KB 6c810f95 download
config.json 2.60 KB 628e3f12 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.20 KB 711176a1 download
chat_template.jinja 1017 B 6c226632 download
tokenizer_config.json 422 B 6a93d700 download
generation_config.json 213 B 99b9c2eb download

README current version from Hugging Face


base_model: microsoft/Fara-7B
library_name: transformers
license: other
pipeline_tag: text-generation
tags:

  • abliteration
  • refusal-removal
  • uncensored
  • research
  • qwen2_5_vl
  • orthogonalization

Fara-7B Abliterated v2

A refusal-direction-orthogonalized variant of microsoft/Fara-7B (Qwen2.5-VL based).

Built using:

Method

Using harmful + harmless probe sets, residual-stream activations were extracted across layers 0–27 to identify the strongest refusal direction.

Best layer:

  • 13

Orthogonalization was applied in fp32 to:

  • embed_tokens
  • every self_attn.o_proj
  • every mlp.down_proj

Total modified tensors:

  • 57

Formula:

W ← W - r rᵀ W

Results

Held-out harmful evaluation set:

  • Original Fara-7B: 5/160 compliance (~3.1%)
  • Abliterated v2: 158/160 compliance (~98.75%)

Held-out refusal probe:

  • Before: 155/160 refusals
  • After: 2/160 refusals

Notes

  • fp32 surgery used to avoid precision issues from v1
  • edits applied only to the language tower
  • held-out evaluation set was separate from the layer-selection probe set

Research artifact only. Use responsibly and follow upstream Fara/Qwen license terms.

README history 5 versions

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

  1. 2026-05-24Update README.mda9c2c4e1.2 KB
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  2. 2026-05-24Update README.mdf4bcba31.2 KB
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  3. 2026-05-24Update README.mdace58cd1.2 KB
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  4. 2026-05-24Update README.mdddbfeec4.7 KB
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  5. 2026-05-24Upload Fara-7B Abliterated v20185942681 B
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