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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%2Fgemma-3-1b-it-abliterated-w4a16g128asym_1" 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 | 576 MB | 4917a670 | download |
| params_shard_1.bin | 30.3 MB | 2eed0988 | download |
| params_shard_10.bin | 26.4 MB | f2c2ecd1 | download |
| params_shard_11.bin | 26.4 MB | 3a3fc0ac | download |
| params_shard_12.bin | 26.4 MB | 2688895f | download |
| params_shard_2.bin | 26.4 MB | 1813c2f8 | download |
| params_shard_3.bin | 26.4 MB | 9d9948c1 | download |
| params_shard_4.bin | 26.4 MB | bf9b7437 | download |
| params_shard_5.bin | 26.4 MB | e3b56936 | download |
| params_shard_6.bin | 26.4 MB | 75e1dbe4 | download |
| params_shard_7.bin | 26.4 MB | e45bb330 | download |
| params_shard_8.bin | 26.4 MB | 5558b1fd | download |
| params_shard_9.bin | 26.4 MB | 934c7744 | download |
| params_shard_13.bin | 22.5 MB | 3a99cef4 | download |
| tokenizer.json | 31.8 MB | 4667f208 | download |
| tokenizer.model | 4.47 MB | 1299c11d | download |
| tokenizer_config.json | 1.10 MB | 7bdd14f0 | download |
| ndarray-cache.json | 182 KB | dae2aa12 | download |
| private-llm-config.json | 2.11 KB | ce2787f2 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| README.md | 388 B | ecda4a26 | download |
| config.json | 55.0 B | d9e7e08f | download |
| added_tokens.json | 35.0 B | e17bde03 | download |
4-bit OmniQuant quantized version of gemma-3-1b-it-abliterated for inference with the Private LLM app.
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.