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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/numen-tech%2FLlama-3.2-3B-Instruct-abliterated-w4a16g128asym" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| params_shard_0.bin | 188 MB | d2cd4b78 | download |
| params_shard_2.bin | 31.4 MB | 230383fa | download |
| params_shard_27.bin | 26.3 MB | 69d3e249 | download |
| params_shard_10.bin | 25.5 MB | c17476d7 | download |
| params_shard_12.bin | 25.5 MB | 3f2b15b0 | download |
| params_shard_14.bin | 25.5 MB | 045d524c | download |
| params_shard_16.bin | 25.5 MB | 393b2cf9 | download |
| params_shard_18.bin | 25.5 MB | 87b5983e | download |
| params_shard_20.bin | 25.5 MB | 13e0b29d | download |
| params_shard_22.bin | 25.5 MB | 0403f3c8 | download |
| params_shard_24.bin | 25.5 MB | ae4ac67f | download |
| params_shard_29.bin | 25.5 MB | 18343702 | download |
| params_shard_31.bin | 25.5 MB | 5c1407ad | download |
| params_shard_33.bin | 25.5 MB | 2b8a6ec2 | download |
| params_shard_35.bin | 25.5 MB | cc688cb8 | download |
| params_shard_37.bin | 25.5 MB | 8b428be5 | download |
| params_shard_39.bin | 25.5 MB | cbbf097d | download |
| params_shard_4.bin | 25.5 MB | 3d5521c9 | download |
| params_shard_41.bin | 25.5 MB | 7d09b872 | download |
| params_shard_44.bin | 25.5 MB | 4e44788b | download |
| params_shard_46.bin | 25.5 MB | 79eec28a | download |
| params_shard_48.bin | 25.5 MB | 4c86a281 | download |
| params_shard_50.bin | 25.5 MB | 09426f8f | download |
| params_shard_52.bin | 25.5 MB | 3d427073 | download |
| params_shard_54.bin | 25.5 MB | 958d2ac4 | download |
| params_shard_56.bin | 25.5 MB | 83fa369e | download |
| params_shard_6.bin | 25.5 MB | a9d690a8 | download |
| params_shard_8.bin | 25.5 MB | 7996f6ac | download |
| params_shard_42.bin | 24.8 MB | 67aec8cf | download |
| params_shard_1.bin | 24.0 MB | e761c70a | download |
| params_shard_11.bin | 24.0 MB | e87819ab | download |
| params_shard_13.bin | 24.0 MB | 8a691a4d | download |
| params_shard_15.bin | 24.0 MB | 8b2a1e0e | download |
| params_shard_17.bin | 24.0 MB | 6c47b5d7 | download |
| params_shard_19.bin | 24.0 MB | 50d282f1 | download |
| params_shard_21.bin | 24.0 MB | 5556a6db | download |
| params_shard_23.bin | 24.0 MB | ac177577 | download |
| params_shard_25.bin | 24.0 MB | c39eb440 | download |
| params_shard_26.bin | 24.0 MB | afeea367 | download |
| params_shard_28.bin | 24.0 MB | f25d62ad | download |
| params_shard_3.bin | 24.0 MB | ac2ea277 | download |
| params_shard_30.bin | 24.0 MB | 0ec874d6 | download |
| params_shard_32.bin | 24.0 MB | 6ae09e70 | download |
| params_shard_34.bin | 24.0 MB | f924dbb1 | download |
| params_shard_36.bin | 24.0 MB | 7655685c | download |
| params_shard_38.bin | 24.0 MB | a96fd21e | download |
| params_shard_40.bin | 24.0 MB | 8f9cb4c8 | download |
| params_shard_43.bin | 24.0 MB | 2731faa4 | download |
| params_shard_45.bin | 24.0 MB | 64341b7c | download |
| params_shard_47.bin | 24.0 MB | 8f89f07a | download |
| params_shard_49.bin | 24.0 MB | fedca7e2 | download |
| params_shard_5.bin | 24.0 MB | a210d3d3 | download |
| params_shard_51.bin | 24.0 MB | 765c5209 | download |
| params_shard_53.bin | 24.0 MB | 93f64e38 | download |
| params_shard_55.bin | 24.0 MB | b31e6b80 | download |
| params_shard_7.bin | 24.0 MB | 847db231 | download |
| params_shard_9.bin | 24.0 MB | 0e7b2b82 | download |
| tokenizer.json | 8.66 MB | 777c28bc | download |
| ndarray-cache.json | 118 KB | 6140f795 | download |
| tokenizer_config.json | 53.4 KB | 9325164d | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| private-llm-config.json | 1.29 KB | d4ea8be6 | download |
| README.md | 446 B | e8c60ad8 | download |
| config.json | 55.0 B | d9e7e08f | download |
language:
4-bit OmniQuant quantized version of Llama-3.2-3B-Instruct-uncensored.
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.