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emte/lora_mlabonne_NeuralDaredevil-8B-abliterated-base

emte 8B
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Response includes
  • classification m1
  • files 6
  • author_summary 2 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)
How we label → About M1 →
Refusal direction extracted via
Extraction technique

Difference-of-means

FromArditi et al. (2024) ↗
Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
What is a refusal direction? → Read the paper ↗
Downloads · 30-day
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Model age
15mo ago
created 2025-06-26
Downloads over time
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00110 on Jul 9, 20250 on Oct 12Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 9, 2025 → Oct 12 · 106 snapshots · spans 460 days

Metadata

Tags
transformers unsloth arxiv:1910.09700 endpoints_compatible region:us

Related

Other by emte
lora_lmlabonne_NeuralDaredevil-8B-abliterated-base 0
Total size
0 B
Files
6
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-06-26 10:45
Source huggingface.co/emte/lora_mlabonne_NeuralDaredevil-8B-abliterated-base ↗

Files by quantization

Auxiliary files 6 files 16.5 MB
tokenizer.json 16.4 MB 3c5cf440 download
tokenizer_config.json 49.5 KB 82d60c15 download
README.md 5.06 KB b7441640 download
.gitattributes 1.53 KB 52373fe2 download
chat_template.jinja 389 B 39bd0c9f download
special_tokens_map.json 350 B 9c44d1d7 download

README current version from Hugging Face

library_name: transformers
tags:

  • unsloth

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Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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How to Get Started with the Model

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Training Details

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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README history 1 version

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

  1. 2025-06-26Upload model trained with Unslothd16f10d5.1 KB
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