MultiverseEx26-7B-slerp Benchmark Results

MultiverseEx26-7B-slerp — benchmark results

allknowingroger's SLERP merge of MTSAIR's multi_verse_model with yam-peleg's Experiment26-7B, two high-scoring Mistral leaderboard fine-tunes. Provider: Other. Released 2024-03-31. Access: Open.

Unified ELO 1408 ± 14, rank #1186 of 1776 rated models, from 14 benchmark results.

Strongest benchmark results

Benchmark	Score	Metric	Percentile
Open Chinese LLM - TruthfulQA MC	63.61	Accuracy (%)	93.8
Open LLM Leaderboard - MuSR	12.6	Score	69.1
Open LLM Leaderboard - BBH	31.66	Score	58
Open Chinese LLM - WinoGrande	63.46	Accuracy (%)	57.3
Open Chinese LLM - HellaSwag	60.6	Accuracy (%)	54.7
Open Chinese LLM - GSM8K	46.63	Accuracy (%)	54
Open Chinese LLM - ARC Challenge	53.16	Accuracy (%)	53.6
Open Chinese LLM Leaderboard	56.62	Average Score (%)	50
Open LLM Leaderboard - MATH Level 5	7.55	Score	39.3
Open LLM Leaderboard - IFEval	39.39	Score	39.2
Open LLM Leaderboard - GPQA	4.36	Score	37.6
Open LLM Leaderboard - MMLU-Pro	22.61	Score	37.6

Interactive version: theaggregate.ai/model?slug=multiverseex26-7b-slerp · How the rankings work · Data refreshed daily, snapshot 2026-07-22.