Tamil-Mistral-7B-Instruct-v0.1 [float16] [rev: 504c4964130f]: benchmark results
Provider: Other. Access: Open.
Aggregate Rating 1100 ± 40, rank #10725 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 47.3 | MC2 (%) (0-shot) | 37.3 |
| Open LLM Leaderboard v1 - ARC Challenge | 27.13 | Normalized accuracy (%) (25-shot) | 6.3 |
| Open LLM Leaderboard v1 - GSM8K | 0 | Accuracy (%) (5-shot) | 4.5 |
| Open LLM Leaderboard v1 - MMLU | 24.5 | Accuracy (%) (5-shot) | 4 |
| Open LLM Leaderboard v1 - HellaSwag | 27.09 | Normalized accuracy (%) (10-shot) | 3.9 |
| Open LLM Leaderboard v1 - WinoGrande | 48.93 | Accuracy (%) (5-shot) | 0.8 |
Interactive version: theaggregate.ai/model?slug=tamil-mistral-7b-instruct-v0-1-float16-rev-504c4964130f · How It Works · Data refreshed daily, snapshot 2026-11-08.