Everyone-LLM-7B-Base: benchmark results
A Mistral-family community merge assembled by rombodawg from multiple coding and instruction fine-tunes, released with an Alpaca prompt template. Provider: rombodawg. Access: Open.
Aggregate Rating 1435 ± 34, rank #4376 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 65.58 | Accuracy (%) (5-shot) | 80.3 |
| Open LLM Leaderboard v1 - MMLU | 64.94 | Accuracy (%) (5-shot) | 78.9 |
| Open LLM Leaderboard v1 - HellaSwag | 86.02 | Normalized accuracy (%) (10-shot) | 78.1 |
| Open LLM Leaderboard v1 - WinoGrande | 80.43 | Accuracy (%) (5-shot) | 73.8 |
| Open LLM Leaderboard v1 - ARC Challenge | 66.38 | Normalized accuracy (%) (25-shot) | 73.4 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 57.89 | MC2 (%) (0-shot) | 71.2 |
Interactive version: theaggregate.ai/model?slug=everyone-llm-7b-base · How It Works · Data refreshed daily, snapshot 2026-11-08.