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aspirina765/Daredevil-8B-abliterated-2bit-HQQ

aspirina765 Llama 8B
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Response includes
  • classification m1
  • files 7
  • hub_downloads_all_time 228
  • author_summary 6 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
228
14 last 30d - cooling
Likes
3
Model age
2.3y ago
created 2024-06-09
Downloads over time
Now232→from21↑1,005%
08517025521 on Jul 24, 2024232 on Oct 11232 on Oct 10Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Metadata

Tags
transformers llama text-generation autoquant hqq conversational arxiv:1910.09700 endpoints_compatible region:us

Related

Total size
3.74 GB
Files
7
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-06-09 22:55

Files by quantization

Auxiliary files 7 files 3.74 GB
qmodel.pt 3.74 GB 394673e1 download
tokenizer.json 8.66 MB 9bc3468d download
tokenizer_config.json 49.9 KB bf54fba7 download
README.md 5.07 KB f0ca5a8a download
.gitattributes 1.48 KB a6344aac download
config.json 728 B 7785355f download
special_tokens_map.json 449 B e5b39b63 download

README current version from Hugging Face


library_name: transformers
tags:

  • autoquant
  • hqq

Model Card for Model ID

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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Recommendations

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How to Get Started with the Model

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Training Details

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Results

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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. 2024-06-09Upload folder using huggingface_hubc4436115.1 KB
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