RedPajama-INCITE-7B-Instruct: benchmark results
Together's RedPajama-INCITE-7B-Instruct, a 6.9B model fine-tuned from RedPajama-INCITE-7B-Base for few-shot applications on GPT-JT data, developed with Ontocord.ai, ETH DS3Lab, Stanford CRFM and LAION. Provider: Together. Released 2023-05-05. Access: Open.
Aggregate Rating 1226 ± 12, rank #1545 of 1635 rated models, from 107 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| HELM Classic - LSAT | 24.35 | Exact Match (%) | 95.6 |
| HELM Classic - CivilComments | 66.45 | Exact Match (%) | 93.9 |
| LLM Trustworthy - Fairness | 100 | Trust Score (%) | 93.8 |
| HELM Classic - bAbI | 54.53 | Exact Match (%) | 79.7 |
| HELM Classic - RAFT | 69.55 | Exact Match (%) | 78.8 |
| HELM Classic - NaturalQuestions Open Book | 65.92 | F1 (%) | 73.8 |
| HELM Classic - LegalSupport | 56.85 | Exact Match (%) | 70.6 |
| MMLU-by-task - College Physics | 28.43 | Accuracy (%) | 67.4 |
| HELM Classic - Entity Matching | 84.32 | Exact Match (%) | 66.7 |
| HELM Classic - TruthfulQA | 24.31 | Exact Match (%) | 56.8 |
| HELM Classic - Entity Data Imputation | 77.19 | Exact Match (%) | 56.1 |
| HELM Classic - MMLU | 36.31 | Exact Match (%) | 53 |
Interactive version: theaggregate.ai/model?slug=redpajama-incite-7b-instruct · How It Works · Data refreshed daily, snapshot 2026-10-15.