Omningotex-7B-slerp: benchmark results
liminerity's Omningotex-7b-slerp is a SLERP merge of liminerity/binarized-ingotrix-slerp-7b, eren23/dpo-binarized-NeutrixOmnibe-7B. The released configuration uses 32 mistral decoder layers; merge recipe dtype is not a measured evaluator precision. Provider: liminerity. Access: Open.
Aggregate Rating 1467 ± 43, rank #2938 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - ARC Challenge | 73.29 | Normalized accuracy (%) (25-shot) | 96.7 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 76.32 | MC2 (%) (0-shot) | 96 |
| Open LLM Leaderboard v1 - HellaSwag | 88.96 | Normalized accuracy (%) (10-shot) | 95.4 |
| Open LLM Leaderboard v1 - GSM8K | 70.51 | Accuracy (%) (5-shot) | 93.3 |
| Open LLM Leaderboard v1 - WinoGrande | 84.21 | Accuracy (%) (5-shot) | 92.4 |
| Open LLM Leaderboard v1 - MMLU | 64.69 | Accuracy (%) (5-shot) | 75 |
Interactive version: theaggregate.ai/model?slug=omningotex-7b-slerp · How It Works · Data refreshed daily, snapshot 2026-11-08.