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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/ausboss%2Fllama7b-wizardlm-unfiltered-4bit-128g" 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-128g.safetensors | 3.72 GB | 15eacca9 | download |
| tokenizer.json | 1.76 MB | a0201ea3 | download |
| tokenizer.model | 488 KB | 9e556afd | download |
| pytorch_model.bin.index.json | 26.2 KB | 41965910 | download |
| .gitattributes | 1.44 KB | c7d9f333 | download |
| tokenizer_config.json | 700 B | 48d369b8 | download |
| config.json | 580 B | 8eddbead | download |
| README.md | 469 B | 715cc262 | download |
| special_tokens_map.json | 411 B | d85ba6cb | download |
| generation_config.json | 137 B | 2c057487 | download |
Lora fine tune trained on this dataset
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{data_point["instruction"]}
### Response:
{data_point["output"]}
CUDA_VISIBLE_DEVICES=0
python llama.py model c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors 4bit-128g.safetensors
The author's README evolved over time. Click a version to see its content at that point.
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