blossom-v3.1-mistral-7B: benchmark results
A conversational instruction fine-tune released by Azure99 based on Mistral-7B-v0.1, using Azure99/blossom-chat-v1, Azure99/blossom-math-v2, Azure99/blossom-wizard-v1, Azure99/blossom-orca-v1. Training uses two stages; dataset example counts and epochs are not token or compute disclosures. Provider: Azure99. Access: Open.
Aggregate Rating 1390 ± 33, rank #6525 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 46.93 | Accuracy (%) (5-shot) | 60.4 |
| Open LLM Leaderboard v1 - MMLU | 61 | Accuracy (%) (5-shot) | 50.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 60.49 | Normalized accuracy (%) (25-shot) | 47.9 |
| Open LLM Leaderboard v1 - HellaSwag | 81.71 | Normalized accuracy (%) (10-shot) | 46.5 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 49.51 | MC2 (%) (0-shot) | 45 |
| Open LLM Leaderboard v1 - WinoGrande | 75.53 | Accuracy (%) (5-shot) | 42.7 |
Interactive version: theaggregate.ai/model?slug=blossom-v3-1-mistral-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.