Infinity-Instruct-3M-0625-Mistral-7B: benchmark results
BAAI's SFT-only fine-tune of Mistral 7B v0.1 on the Infinity-Instruct 3M and 0625 datasets, tuned without RLHF. Provider: BAAI. Released 2024-07-09. Access: Open.
Unified ELO 1483 ± 1, rank #775 of 1392 rated models, from 8 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Korean LLM Leaderboard | 40.43 | Average Score (%) | 74.5 |
| Open LLM Leaderboard - IFEval | 58.67 | Score | 70.5 |
| AlpacaEval 2.0 | 31.42 | LC Win Rate (%) | 70.3 |
| Open LLM Leaderboard - MuSR | 12.24 | Score | 66.7 |
| Open LLM Leaderboard - BBH | 28.82 | Score | 47.7 |
| Open LLM Leaderboard - MMLU-Pro | 24.77 | Score | 44.3 |
| Open LLM Leaderboard - GPQA | 4.92 | Score | 41.8 |
| Open LLM Leaderboard - MATH Level 5 | 7.63 | Score | 39.6 |
Interactive version: theaggregate.ai/model?slug=infinity-instruct-3m-0625-mistral-7b · How It Works · Data refreshed daily, snapshot 2026-09-05.