Buckets:
8.06 GB
16 files
Updated about 2 months ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| .gitattributes | 1.57 kB xet | aacf151a | |
| .quick_checkpoint | 18 Bytes xet | 00537adb | |
| README.md | 1.06 kB xet | 91cc0da0 | |
| abliteration_metadata.json | 1.62 kB xet | be97b978 | |
| chat_template.jinja | 4.17 kB xet | 40137bef | |
| config.json | 1.59 kB xet | cfbebed2 | |
| generation_config.json | 233 Bytes xet | 4b90aefb | |
| model-00001-of-00005.safetensors | 1.99 GB xet | 6bfe4218 | |
| model-00002-of-00005.safetensors | 1.97 GB xet | 41af248a | |
| model-00003-of-00005.safetensors | 1.97 GB xet | e7cc7bf7 | |
| model-00004-of-00005.safetensors | 1.97 GB xet | c2ed71f1 | |
| model-00005-of-00005.safetensors | 149 MB xet | 5d485be6 | |
| model.safetensors.index.json | 32.9 kB xet | bb3323be | |
| obliteratus_session.json | 224 Bytes xet | 1564d34c | |
| tokenizer.json | 11.4 MB xet | 211ead7b | |
| tokenizer_config.json | 855 Bytes xet | 48e7fc31 |
Qwen3-4B-OBLITERATED
This model was abliterated using the advanced method via
OBLITERATUS.
| Detail | Value |
|---|---|
| Base model | Qwen/Qwen3-4B |
| Method | advanced |
| Source | obliterate |
How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Qwen3-4B-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("Qwen3-4B-OBLITERATED")
prompt = "Hello, how are you?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
About OBLITERATUS
OBLITERATUS is an open-source tool for removing refusal behavior from language models via activation engineering (abliteration). Learn more at github.com/elder-plinius/OBLITERATUS.
- Total size
- 8.06 GB
- Files
- 16
- Last updated
- Jul 29
- Pre-warmed CDN
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