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jquave/gpt4all-lora-unfiltered-quantized

jquave Llama
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Response includes
  • classification unknown
  • files 6
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
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Primary method

Unclassified

No clear signals of an abliteration technique in this model.
Confidence
UNKNOWN
Why this label 1 signal
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.

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Downloads · 30-day
43
↑ 2,549% in 90 days
Likes
7
Model age
3.5y ago
created 2023-04-07
Downloads over time
Now1.6K→from61↑2,549%
05921.2K1.8K61 on Jul 24, 20241.6K on Oct 111.6K on Oct 10Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Metadata

Tags
transformers pytorch llama text-generation text-generation-inference endpoints_compatible region:us
Total size
3.92 GB
Files
6
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2023-04-07 19:48

Files by quantization

Auxiliary files 6 files 3.92 GB
pytorch_model.bin 3.92 GB fd849354 download
tokenizer.model 488 KB 9e556afd download
.gitattributes 1.44 KB c7d9f333 download
config.json 548 B 13c1bdd8 download
tokenizer_config.json 205 B 3b3c0995 download
special_tokens_map.json 3.00 B 0967ef42 download

README

The author did not publish a README.

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