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Below is the per-quantization compatibility for this model.
curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/nkpz%2Fopen_llama_7b_qlora_uncensored-gptq" No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.
What is a refusal direction? →| 4bit--1g.act.order.safetensors | 3.51 GB | 12c79c93 | download |
| tokenizer.model | 522 KB | ab1b681e | download |
| pytorch_model.bin.index.json | 26.2 KB | 3478b35f | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| tokenizer_config.json | 700 B | 48d369b8 | download |
| config.json | 554 B | 2fe4a730 | download |
| special_tokens_map.json | 435 B | 599f3bbf | download |
| README.md | 398 B | 94383f22 | download |
| generation_config.json | 132 B | 89c31b8e | download |
| added_tokens.json | 21.0 B | e41416dd | download |
4-bit quantized files for georgesung/open_llama_7b_qlora_uncensored
Quantized using GPTQ-for-LLaMa.
Command used to quantize: python llama.py /my/model/directory c4 --wbits 4 --true-sequential --act-order --save_safetensors /my/output/file.safetensors
The author's README evolved over time. Click a version to see its content at that point.
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