Llama 3 70B Japanese Suzume Vector V0.1 — benchmark results
mmnga's experimental Japanese adaptation of Llama 3 70B Instruct, applying an upscaled chat vector from lightblue's Suzume 8B Japanese fine-tune. Provider: Meta. Released 2024-04-28. Access: Open.
Unified ELO 1463 ± 25, rank #943 of 1776 rated models, from 14 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Chinese LLM - GSM8K | 70.58 | Accuracy (%) | 97.3 |
| Open Chinese LLM - CMMLU | 72.14 | Accuracy (%) | 95 |
| Open LLM Leaderboard - BBH | 50.02 | Score | 91.8 |
| Open LLM Leaderboard - MMLU-Pro | 46.94 | Score | 90.6 |
| Open Chinese LLM Leaderboard | 66.71 | Average Score (%) | 85.5 |
| Open Chinese LLM - ARC Challenge | 59.56 | Accuracy (%) | 85.2 |
| Open Chinese LLM - C-Eval Semantic | 86.75 | Accuracy (%) | 81.8 |
| Open LLM Leaderboard - MATH Level 5 | 23.26 | Score | 76.7 |
| Open Chinese LLM - HellaSwag | 62.95 | Accuracy (%) | 70.9 |
| Open LLM Leaderboard - MuSR | 10.76 | Score | 54.7 |
| Open LLM Leaderboard - IFEval | 46.49 | Score | 52.8 |
| Open Chinese LLM - TruthfulQA MC | 53.1 | Accuracy (%) | 45.4 |
Interactive version: theaggregate.ai/model?slug=llama-3-70b-japanese-suzume-vector-v0-1 · How the rankings work · Data refreshed daily, snapshot 2026-07-22.