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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/jiangchengchengNLP%2Fllama3.3-70B-instruct-abliterated-awq" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
| Benchmark | Score | Source |
|---|---|---|
| Entertainment | 3.2 | UGI |
| Hazardous | 3.5 | UGI |
| Natural Intelligence | 33.54 | UGI |
| Political lean | -20.3% | UGI |
| Sensitive-Info | 32.66 | UGI |
| SocPol | 3.1 | UGI |
| UGI | 48.44 | UGI |
| Willingness (10) | 8 | UGI |
| W10-Adherence | 8 | UGI |
| W10-Direct | 8 | UGI |
| Writing | 31.76 | UGI |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| model-00001-of-00009.safetensors | 4.63 GB | 8f43b17f | download |
| model-00003-of-00009.safetensors | 4.55 GB | a2a7d342 | download |
| model-00004-of-00009.safetensors | 4.55 GB | c3d56593 | download |
| model-00005-of-00009.safetensors | 4.55 GB | 5f9d8689 | download |
| model-00006-of-00009.safetensors | 4.55 GB | 2260a701 | download |
| model-00007-of-00009.safetensors | 4.55 GB | 5f6fc9fc | download |
| model-00002-of-00009.safetensors | 4.55 GB | dd147f34 | download |
| model-00008-of-00009.safetensors | 3.13 GB | 4221112b | download |
| model-00009-of-00009.safetensors | 1.96 GB | b0436c98 | download |
| tokenizer.json | 16.4 MB | 6b9e4e7f | download |
| model.safetensors.index.json | 148 KB | a9712103 | download |
| tokenizer_config.json | 54.1 KB | 41cd8d1c | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| config.json | 1.09 KB | c13ed767 | download |
| README.md | 518 B | d3706417 | download |
| special_tokens_map.json | 454 B | 3c1d0491 | download |
| generation_config.json | 184 B | 97a94f0f | download |
license: llama3.3
base_model:
This repository provides the AWQ 4-bit quantized version of meta-llama/Llama-3.3-70B-Instruct-abliterated, originally developed by Meta AI.
The author's README evolved over time. Click a version to see its content at that point.
Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.