LLaMA-33B
LLaMA-33B.
12
Benchmarks with a score
0
Ranked first, out of five or more models
0
In the top three
Meta Feb 2023 LLaMA-33B
Open weights
96.6
#222 of 256
Epoch Capabilities Index
- LLM-WikiRace 0% #14 /21
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| TriviaQA | 83.8% | #9 of 38 | Claim in Llama 2: Open Foundation and Fine-Tuned Chat Models, via Epoch AI | |
| HellaSwag | 82.8% | #18 of 63 | Claim in LLaMA: Open and Efficient Foundation Language Models, via Epoch AI | |
| BoolQ | 84.4% | #21 of 61 | Claim in Qwen Technical Report, via Epoch AI | |
| ARC-Challenge | 67.5% | #27 of 75 | Claim in Qwen Technical Report, via Epoch AI | |
| PIQA | 82.3% | #22 of 58 | Claim in Qwen Technical Report, via Epoch AI | |
| LAMBADA | 77.2% | #10 of 26 | Claim in Qwen Technical Report, via Epoch AI | |
| OpenBookQA | 58.6% | #16 of 41 | Claim in Llama 2: Open Foundation and Fine-Tuned Chat Models, via Epoch AI | |
| WinoGrande | 76% | #32 of 76 | Claim in LLaMA: Open and Efficient Foundation Language Models, via Epoch AI | |
| BIG-Bench Hard | 50% | #23 of 45 | Claim in Qwen Technical Report, via Epoch AI | |
| MMLU | 58.7% | #45 of 85 | Claim in Qwen Technical Report, via Epoch AI |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GSM8K | 32% | #9 of 24 | Stanford HELM, via Epoch AI |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LLM-WikiRace | 0% | #14 of 21 | Official leaderboard |
Meta's models over time
Meta's models in color, against every other model on the Epoch Capabilities Index, by release date.
Source: Epoch Capabilities Index, Epoch AI (CC BY 4.0)