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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/jamessucla%2Fgroupchat_lora_abliterated_8b" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
| Benchmark | Score | Source |
|---|---|---|
| BBH average | 0.44272927746789464 | OpenLLM-v2 |
| IFEval instruct | 0.7649880095923262 | OpenLLM-v2 |
| IFEval-Prompt | 0.6839186691312384 | OpenLLM-v2 |
| MATH lvl 5 | 0.09592145015105741 | OpenLLM-v2 |
| MMLU-Pro | 0.3653590425531915 | OpenLLM-v2 |
| Entertainment | 1.8 | UGI |
| Hazardous | 1.8 | UGI |
| Natural Intelligence | 11.73 | UGI |
| Political lean | -21.1% | UGI |
| Sensitive-Info | 16.86 | UGI |
| SocPol | 1.5 | UGI |
| UGI | 29.57 | UGI |
| Willingness (10) | 5.5 | UGI |
| W10-Adherence | 4 | UGI |
| W10-Direct | 7 | UGI |
| Writing | 19.6 | UGI |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
language:
This llama 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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