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shirasko/unlearned-models-overview

published by @shirasko

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
97
Last 30 days
14
Likes
-
Size
66 KB
Created on HF
2026-08-10
Age
2 months ago

Description

Unlearned Models Overview

Overview of the unlearned model checkpoints in the

What-Did-You-Forget-Unlearned-Models

collection.

Methods

PISCES — Precise In-parameter Suppression for Concept Erasure

RMU — Representation Misdirection for Unlearning

CRISP — Concept Removal via Interpretable Sparse Projections

SNMF — Semi-Nonnegative Matrix Factorization

Base models

google/gemma-2-2b-it

meta-llama/Llama-3.1-8B-Instruct

Collection

This… See the full description on the dataset page: https://huggingface.co/datasets/shirasko/unlearned-models-overview.

Tags

license:mitsize_categories:n<1Kformat:imagefoldermodality:imagelibrary:datasetslibrary:mlcroissantregion:usunlearningoverview

README current version from Hugging Face

license: mit
tags:

  • unlearning
  • overview

Unlearned Models Overview

Overview of the unlearned model checkpoints in the
What-Did-You-Forget-Unlearned-Models
collection.

Unlearning methods and base models

Methods

  • PISCES — Precise In-parameter Suppression for Concept Erasure
  • RMU — Representation Misdirection for Unlearning
  • CRISP — Concept Removal via Interpretable Sparse Projections
  • SNMF — Semi-Nonnegative Matrix Factorization

Base models

  • google/gemma-2-2b-it
  • meta-llama/Llama-3.1-8B-Instruct

Collection

This dataset is a visual overview card for the collection. The model checkpoints
themselves live in the linked collection as individual model repositories.

README history 4 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-08-10Add collection overview README6cb9ae0882 B
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  2. 2026-08-10Add collection overview README6ac50fa857 B
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  3. 2026-08-10Add collection overview infographicc897cb60 B
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  4. 2026-08-10initial commit74e19340 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2026-08-11[bot] Conversion to Parquetopen1 💬#1
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Read further

Community best practices (architecture)
4 rules for MoE, hybrid SSM, FP8 requantization, and Gemma quirks.
The six workflow stages
What misc is doing more work than its name suggests.
Beyond English: multilingual corpora
The four language communities and their workarounds.
Non-English abliteration communities
Deep dive: huihui-ai, layer-window, slop-framing, CJK tokenizer fixes.

Metadata

License
mit

Repository

FILE .gitattributes FILE README.md FILE unlearned_models_collection_asset.jpeg

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("shirasko/unlearned-models-overview")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="shirasko/unlearned-models-overview", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/shirasko/unlearned-models-overview
Browse repository on Hugging Face ->
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