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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/Bobete%2Fgaemma_it_abliterated_full" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
| Benchmark | Score | Source |
|---|---|---|
| BBH average | 0.38292904397457517 | OpenLLM-v2 |
| IFEval instruct | 0.5911270983213429 | OpenLLM-v2 |
| IFEval-Prompt | 0.47504621072088726 | OpenLLM-v2 |
| MATH lvl 5 | 0.0015105740181268882 | OpenLLM-v2 |
| MMLU-Pro | 0.25382313829787234 | OpenLLM-v2 |
| Entertainment | 1.2 | UGI |
| Hazardous | 1.8 | UGI |
| Natural Intelligence | 11.25 | UGI |
| Political lean | -27.7% | UGI |
| Sensitive-Info | 11.98 | UGI |
| SocPol | 0.8 | UGI |
| UGI | 29.65 | UGI |
| Willingness (10) | 6.5 | UGI |
| W10-Adherence | 7 | UGI |
| W10-Direct | 6 | UGI |
| Writing | 24.68 | UGI |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| adapter_model.safetensors | 79.3 MB | 65a3da61 | download |
| tokenizer.json | 16.7 MB | 3f289bc0 | download |
| tokenizer.model | 4.04 MB | 61a7b147 | download |
| tokenizer_config.json | 45.9 KB | 48780e2b | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| adapter_config.json | 735 B | 3d6ba2df | download |
| README.md | 591 B | 0ca4648f | download |
| special_tokens_map.json | 555 B | f6119589 | download |
base_model: IlyaGusev/gemma-2-2b-it-abliterated
language:
This gemma2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
The author's README evolved over time. Click a version to see its content at that point.
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