Meta-Llama-3-8B
MetaVersion: 9
Key capabilities
About this model
The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Instruction tuned models are intended for assistant-like chat, whereas pretrained models can be adapted for a variety of natural language generation tasks.Key model capabilities
In this section, we report the results for Llama 3 models on standard automatic benchmarks. For all the evaluations, we use our internal evaluations library. For details on the methodology see here .Base pretrained models
| Category | Benchmark | Llama 3 8B | Llama2 7B | Llama2 13B | Llama 3 70B | Llama2 70B |
| General | MMLU (5-shot) | 66.6 | 45.7 | 53.8 | 79.5 | 69.7 |
| AGIEval English (3-5 shot) | 45.9 | 28.8 | 38.7 | 63.0 | 54.8 | |
| CommonSenseQA (7-shot) | 72.6 | 57.6 | 67.6 | 83.8 | 78.7 | |
| Winogrande (5-shot) | 76.1 | 73.3 | 75.4 | 83.1 | 81.8 | |
| BIG-Bench Hard (3-shot, CoT) | 61.1 | 38.1 | 47.0 | 81.3 | 65.7 | |
| ARC-Challenge (25-shot) | 78.6 | 53.7 | 67.6 | 93.0 | 85.3 | |
| Knowledge reasoning | TriviaQA-Wiki (5-shot) | 78.5 | 72.1 | 79.6 | 89.7 | 87.5 |
| Reading comprehension | SQuAD (1-shot) | 76.4 | 72.2 | 72.1 | 85.6 | 82.6 |
| QuAC (1-shot, F1) | 44.4 | 39.6 | 44.9 | 51.1 | 49.4 | |
| BoolQ (0-shot) | 75.7 | 65.5 | 66.9 | 79.0 | 73.1 | |
| DROP (3-shot, F1) | 58.4 | 37.9 | 49.8 | 79.7 | 70.2 |
Instruction tuned models
| Benchmark | Llama 3 8B | Llama 2 7B | Llama 2 13B | Llama 3 70B | Llama 2 70B |
| MMLU (5-shot) | 68.4 | 34.1 | 47.8 | 82.0 | 52.9 |
| GPQA (0-shot) | 34.2 | 21.7 | 22.3 | 39.5 | 21.0 |
| HumanEval (0-shot) | 62.2 | 7.9 | 14.0 | 81.7 | 25.6 |
| GSM-8K (8-shot, CoT) | 79.6 | 25.7 | 77.4 | 93.0 | 57.5 |
| MATH (4-shot, CoT) | 30.0 | 3.8 | 6.7 | 50.4 | 11.6 |
See Responsible AI for additional considerations for responsible use.
Key use cases
Llama 3 is intended for commercial and research use in English. Instruction tuned models are intended for assistant-like chat, whereas pretrained models can be adapted for a variety of natural language generation tasks. Enables applications to be Built with Meta Llama 3.Out of scope use cases
Use in any manner that violates applicable laws or regulations (including trade compliance laws). Use in any other way that is prohibited by the Acceptable Use Policy and Llama 3 Community License. Use in languages other than English**. **Note: Developers may fine-tune Llama 3 models for languages beyond English provided they comply with the LlamaPricing is based on a number of factors, including deployment type and tokens used. See pricing details here.