← back to catalog · registered 2026-08-22 13:56

lenML/aya-expanse-8b-abliterated

lenML 8.0B GGUF
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/lenML%2Faya-expanse-8b-abliterated"
Response includes
  • classification m8
  • files 13
  • hub_downloads_all_time 7,894
  • author_summary 2 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
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=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · lifetime
8K
264 last 30d - cooling
Likes
10
Descendants
9
in 9 direct forks
Model age
23mo ago
created 2024-11-13
Downloads over time
Now8K→from16↑49,794%
02.9K5.9K8.8K16 on Nov 13, 20248K on Oct 12Nov '24Feb '25May '25Aug '25Nov '25FebMayAug
Nov 13, 2024 → Oct 12 · 140 snapshots · spans 698 days

Genealogy 9 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 · 300 downloads combined

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

Metadata

Languages
en fr de es it pt ja ko zh ar el fa pl id cs he hi nl ro ru tr uk vi
Tags
transformers safetensors cohere text-generation gguf CohereForAI conversational en fr de es it

Related

Total size
15.0 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-11-13 18:48

Files by quantization

Auxiliary files 13 files 15.0 GB
model-00003-of-00004.safetensors 4.66 GB 42f14902 download
model-00002-of-00004.safetensors 4.58 GB 7631bb1b download
model-00001-of-00004.safetensors 4.58 GB 3e1caf82 download
model-00004-of-00004.safetensors 1.14 GB 56f36dba download
refusal_direction.pt 17.2 KB 26938328 download
tokenizer.json 12.2 MB c69a7ea6 download
model.safetensors.index.json 20.5 KB 3136b2a3 download
tokenizer_config.json 16.1 KB 9290469d download
.gitattributes 1.53 KB 52373fe2 download
README.md 983 B adf2b806 download
config.json 718 B 6f887b22 download
special_tokens_map.json 439 B cf33f2e5 download
generation_config.json 137 B 3081a176 download

README current version from Hugging Face


inference: false
library_name: transformers
language:

  • en
  • fr
  • de
  • es
  • it
  • pt
  • ja
  • ko
  • zh
  • ar
  • el
  • fa
  • pl
  • id
  • cs
  • he
  • hi
  • nl
  • ro
  • ru
  • tr
  • uk
  • vi
    license: cc-by-nc-4.0
    base_model:
    • CohereForAI/aya-expanse-8b
      tags:
    • gguf
    • CohereForAI

Model Card for aya-expanse-8b-abliterated

This is an uncensored version of aya-expanse-8b created with abliteration (see this article to know more about it).

Special thanks to @FailSpy for the original code and technique. Please follow him if you're interested in abliterated models.

Limitations

目前,根据我的 lenml-reject-eval 测试,此版本模型将拒绝评分从 0.91 降低到 0.50,这仍然是一个很高的分数(目前完全解除限制的模型在 reject eval 中最低可以到达到 0.05)

后续还会继续更新这个模型

README history 5 versions

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

  1. 2024-11-13Update README.md7ae3285983 B
    Loading...
  2. 2024-11-13Update README.mdab2cc64909 B
    Loading...
  3. 2024-11-13Update README.md6c18524906 B
    Loading...
  4. 2024-11-13Update README.mdcf45bd5905 B
    Loading...
  5. 2024-11-13Create README.md3aaad85199 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration