Phind-CodeLlama-34B-Python-v1: benchmark results
Provider: Other. Access: Open.
Aggregate Rating 1153 ± 17, rank #9914 of 10916 rated models, from 70 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| InfiBench | 52.17 | Score (%) | 81 |
| BigCode Models Leaderboard | 70.2 | HumanEval Python Pass@1 (%) | 79.7 |
| MMLU-by-task - High School Statistics | 43.98 | Accuracy (%) | 70 |
| MMLU-by-task - Formal Logic | 34.92 | Accuracy (%) | 69.3 |
| MMLU-by-task - College Physics | 27.45 | Accuracy (%) | 63 |
| MMLU-by-task - Moral Scenarios | 27.26 | Accuracy (%) | 59.8 |
| MMLU-by-task - College Chemistry | 36 | Accuracy (%) | 59.4 |
| MMLU-by-task - TruthfulQA MC2 | 45.27 | Accuracy (%) | 52.7 |
| MMLU-by-task - High School Physics | 30.46 | Accuracy (%) | 50.8 |
| MMLU-by-task - TruthfulQA MC1 | 28.15 | Accuracy (%) | 49.4 |
| MMLU-by-task - Professional Medicine | 44.85 | Accuracy (%) | 45.7 |
| Open LLM Leaderboard v1 - GSM8K | 21.53 | Accuracy (%) (5-shot) | 42 |
Interactive version: theaggregate.ai/model?slug=phind-codellama-34b-python-v1 · How It Works · Data refreshed daily, snapshot 2026-11-08.