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oiisa/tinyllama-1.1b-abliterated

oiisa Llama 999M
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Response includes
  • classification m1
  • files 10
  • hub_downloads_all_time 373
  • author_summary 1 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
373
23 last 30d - cooling
Likes
0
Model age
5mo ago
created 2026-04-28
Downloads over time
Now386→from125↑209%
112212312412125 on Apr 29386 on Oct 11AprMayJunJulAugSepOct
Apr 29 → Oct 11 · 63 snapshots · spans 165 days

Metadata

Tags
transformers safetensors llama text-generation conversational arxiv:1910.09700 text-generation-inference endpoints_compatible 4-bit bitsandbytes region:us
Total size
775 MB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-28 15:44

Files by quantization

Auxiliary files 10 files 779 MB
model.safetensors 727 MB e1b80ecf download
adapter_model.safetensors 48.2 MB 6e34c18e download
tokenizer.json 3.45 MB 6b684f88 download
README.md 5.05 KB bc5f30d6 download
.gitattributes 1.48 KB a6344aac download
config.json 1.18 KB 8976592d download
adapter_config.json 1.09 KB a7d82293 download
chat_template.jinja 410 B 7955c6e9 download
tokenizer_config.json 363 B 0dae2758 download
generation_config.json 123 B 71d1e5b3 download

README current version from Hugging Face


library_name: transformers
tags: []

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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Model Sources [optional]

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Uses

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

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Training Hyperparameters

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Evaluation

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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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. 2026-04-28Upload model1aa1aa75.1 KB
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