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girishgupta/deep-ignorance-unfiltered_unlearned_rmu

Name: girishgupta/deep-ignorance-unfiltered_unlearned_rmu
Author: girishgupta

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files 8
author_summary 12 models
readme_text full

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Abliteration classifier · v1.0.0

Primary method

Unclassified

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Confidence

UNKNOWN

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No classification signals present. This may not be an abliterated model at all - it could be a repackaging, a merge with unrelated goals, or unrelated content that mentions the term.

no classification signals present (no abliterated, uncensored, or known producer/method markers)

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.

Downloads · 30-day

↑ 208% in 90 days

Likes

Model age

7mo ago

created 2026-03-11

Downloads over time

Mar 11 → Oct 12 · 71 snapshots · spans 215 days

Genealogy 0 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.

EleutherAI/deep-ignorance-unfiltered↓ 2,705 this lineage

girishgupta/deep-ignorance-unfiltered_unlearned_rmu↓ 5

Metadata

Files by quantization

Auxiliary files 8 files 12.8 GB

model.safetensors	12.8 GB	1afecd14	download
tokenizer.json	3.40 MB	3c4df68c	download
.gitattributes	1.48 KB	a6344aac	download
README.md	1.08 KB	cb25dc46	download
config.json	846 B	997b64ee	download
training_config.yaml	521 B	d1a5033e	download
tokenizer_config.json	392 B	0392dd61	download
generation_config.json	110 B	5a88d375	download

README current version from Hugging Face

tags:

unlearning
base_model: EleutherAI/deep-ignorance-unfiltered

deep-ignorance-unfiltered_unlearned_rmu

This model was created by fine-tuning EleutherAI/deep-ignorance-unfiltered using the Representation Misdirection Unlearning unlearning algorithm. The method is based on Li et al. 2024. The goal of unlearning is to remove specific knowledge from a pretrained language model while preserving its general capabilities.

Hyperparameters

Parameter	Value
Base model	`EleutherAI/deep-ignorance-unfiltered`
Unlearning method	`Representation Misdirection Unlearning`
Learning rate	`2e-05`
Epochs	`1`
Batch size	`32`
Max sequence length	`2048`
Optimizer	`adamw`
Gradient clipping	`1.0`
Gradient accumulation steps	`1`
Seed	`42`
W&B / run name	`rmu__ep1_lr2e-05_bs32_a1000.0_sc20.0_ly11-12-13_mle2048_mli1024`
Alpha (retain weight)	`1000.0`
Steering coefficient	`20.0`
Layer IDs	`11,12,13`

README history 1 version

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

2026-03-11Upload folder using huggingface_hub5c774d91.1 KB
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girishgupta/deep-ignorance-unfiltered_unlearned_rmu

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