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Reading real hardware from your app right now. Numbers below are exact.
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-uncensored-w4a16g128asym" 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? →| Benchmark | Score | Source |
|---|---|---|
| Entertainment | 1.4 | UGI |
| Hazardous | 0 | UGI |
| Natural Intelligence | 9.95 | UGI |
| Political lean | 2.4% | UGI |
| Sensitive-Info | 8.5 | UGI |
| SocPol | 0.8 | UGI |
| UGI | 21.5 | UGI |
| Willingness (10) | 4.8 | UGI |
| W10-Adherence | 3.5 | UGI |
| W10-Direct | 6 | UGI |
| Writing | 22.13 | UGI |
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 | 5eb27574 | download |
| params_shard_2.bin | 31.4 MB | 2ecbdb8d | download |
| params_shard_27.bin | 26.3 MB | 69d485bd | download |
| params_shard_10.bin | 25.5 MB | b14c1b86 | download |
| params_shard_12.bin | 25.5 MB | 6cfc3efc | download |
| params_shard_14.bin | 25.5 MB | bf684691 | download |
| params_shard_16.bin | 25.5 MB | acbae0ea | download |
| params_shard_18.bin | 25.5 MB | f0062208 | download |
| params_shard_20.bin | 25.5 MB | 98b1c7ab | download |
| params_shard_22.bin | 25.5 MB | 77c9e086 | download |
| params_shard_24.bin | 25.5 MB | 52b5706a | download |
| params_shard_29.bin | 25.5 MB | 0827022e | download |
| params_shard_31.bin | 25.5 MB | 85d16481 | download |
| params_shard_33.bin | 25.5 MB | 59e44ad7 | download |
| params_shard_35.bin | 25.5 MB | e39518ce | download |
| params_shard_37.bin | 25.5 MB | 4fb5a1f4 | download |
| params_shard_39.bin | 25.5 MB | e2a8aa21 | download |
| params_shard_4.bin | 25.5 MB | 775140b5 | download |
| params_shard_41.bin | 25.5 MB | 91971916 | download |
| params_shard_44.bin | 25.5 MB | 10f85d5d | download |
| params_shard_46.bin | 25.5 MB | af7cb606 | download |
| params_shard_48.bin | 25.5 MB | 0e614655 | download |
| params_shard_50.bin | 25.5 MB | b5077ffb | download |
| params_shard_52.bin | 25.5 MB | 56c866c9 | download |
| params_shard_54.bin | 25.5 MB | c0b4c3a4 | download |
| params_shard_56.bin | 25.5 MB | 56bfdd74 | download |
| params_shard_6.bin | 25.5 MB | f473b5b5 | download |
| params_shard_8.bin | 25.5 MB | c8a18ffd | download |
| params_shard_42.bin | 24.8 MB | 14c90347 | download |
| params_shard_1.bin | 24.0 MB | 82012c6a | download |
| params_shard_11.bin | 24.0 MB | d3e4eedc | download |
| params_shard_13.bin | 24.0 MB | 9516eeb1 | download |
| params_shard_15.bin | 24.0 MB | 407e8b2c | download |
| params_shard_17.bin | 24.0 MB | 7929d9cf | download |
| params_shard_19.bin | 24.0 MB | 0dde4e37 | download |
| params_shard_21.bin | 24.0 MB | 28166d89 | download |
| params_shard_23.bin | 24.0 MB | 85212250 | download |
| params_shard_25.bin | 24.0 MB | a8240502 | download |
| params_shard_26.bin | 24.0 MB | 9baf2453 | download |
| params_shard_28.bin | 24.0 MB | 3115eabd | download |
| params_shard_3.bin | 24.0 MB | 54b01c23 | download |
| params_shard_30.bin | 24.0 MB | f5ce7d18 | download |
| params_shard_32.bin | 24.0 MB | 5a9d5c41 | download |
| params_shard_34.bin | 24.0 MB | 5235941d | download |
| params_shard_36.bin | 24.0 MB | f348a236 | download |
| params_shard_38.bin | 24.0 MB | 7d0208e8 | download |
| params_shard_40.bin | 24.0 MB | 32ceedc9 | download |
| params_shard_43.bin | 24.0 MB | e5b60811 | download |
| params_shard_45.bin | 24.0 MB | d0b4fb33 | download |
| params_shard_47.bin | 24.0 MB | 729b9cd9 | download |
| params_shard_49.bin | 24.0 MB | 9c93de56 | download |
| params_shard_5.bin | 24.0 MB | 0717c55a | download |
| params_shard_51.bin | 24.0 MB | 45fe239c | download |
| params_shard_53.bin | 24.0 MB | 696351e5 | download |
| params_shard_55.bin | 24.0 MB | 174a0232 | download |
| params_shard_7.bin | 24.0 MB | d02c601e | download |
| params_shard_9.bin | 24.0 MB | 79e400a3 | download |
| tokenizer.json | 8.66 MB | 5cc5f00a | download |
| ndarray-cache.json | 118 KB | 9ea9cc58 | download |
| tokenizer_config.json | 53.3 KB | 000516b3 | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| private-llm-config.json | 1.29 KB | d4ea8be6 | download |
| README.md | 428 B | 9816449b | 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.