binarized-ingotrix-slerp-7B: benchmark results
liminerity's binarized-ingotrix-slerp-7b is a SLERP merge of eren23/dpo-binarized-NeuralTrix-7B, liminerity/Ingot-7b-slerp-7-forged. The released configuration uses 32 mistral decoder layers; merge recipe dtype is not a measured evaluator precision. Provider: liminerity. Access: Open.
Aggregate Rating 1463 ± 41, rank #3117 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - ARC Challenge | 73.21 | Normalized accuracy (%) (25-shot) | 96.3 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 75.57 | MC2 (%) (0-shot) | 95.7 |
| Open LLM Leaderboard v1 - GSM8K | 71.11 | Accuracy (%) (5-shot) | 95.2 |
| Open LLM Leaderboard v1 - HellaSwag | 88.64 | Normalized accuracy (%) (10-shot) | 93.3 |
| Open LLM Leaderboard v1 - WinoGrande | 82.87 | Accuracy (%) (5-shot) | 86 |
| Open LLM Leaderboard v1 - MMLU | 64.85 | Accuracy (%) (5-shot) | 77.5 |
Interactive version: theaggregate.ai/model?slug=binarized-ingotrix-slerp-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.