blossom-v4-yi-34B: benchmark results
A conversational instruction fine-tune released by Azure99 based on Yi-34B, using Azure99/blossom-chat-v2, Azure99/blossom-math-v3, Azure99/blossom-wizard-v2, Azure99/blossom-orca-v2. Training uses two stages; dataset example counts and epochs are not token or compute disclosures. Provider: Azure99. Access: Open.
Aggregate Rating 1477 ± 34, rank #2709 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 74.34 | Accuracy (%) (5-shot) | 96 |
| Open LLM Leaderboard v1 - WinoGrande | 82.4 | Accuracy (%) (5-shot) | 83.9 |
| Open LLM Leaderboard v1 - GSM8K | 64.14 | Accuracy (%) (5-shot) | 77.8 |
| Open LLM Leaderboard v1 - ARC Challenge | 66.81 | Normalized accuracy (%) (25-shot) | 74.8 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 57.89 | MC2 (%) (0-shot) | 71.2 |
| Open LLM Leaderboard v1 - HellaSwag | 84.44 | Normalized accuracy (%) (10-shot) | 66.2 |
Interactive version: theaggregate.ai/model?slug=blossom-v4-yi-34b · How It Works · Data refreshed daily, snapshot 2026-11-08.