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| Attribute |
meta-llama
|
|---|---|
| Company | meta-llama |
| Release Date | 2024-07-23 |
| Parameters (B) | 405 |
| Architecture | Transformer |
| Context Window | 128000 |
| Input Modalities | text |
| Open Source | Yes |
| License | llama3.1 |
| Score | 8 |
| VRAM (GB) | 405 |
| Compute | 8x NVIDIA H100 80GB GPUs with tensor parallelism (FP8 weights; ~405 GB model memory) |
| Benchmark: AGIEval | 71.6 |
| Benchmark: ARC | 96.9 |
| Benchmark: BBH | 89.2 |
| Benchmark: DROP | 84.8 |
| Benchmark: GPQA | 50.7 |
| Benchmark: GSM8K | 96.8 |
| Benchmark: HellaSwag | 88.5 |
| Benchmark: HumanEval | 89 |
| Benchmark: IFEval | 88.6 |
| Benchmark: LiveCodeBench | 30.2 |
| Benchmark: MATH | 73.8 |
| Benchmark: MBPP | 88.6 |
| Benchmark: MMLU | 87.3 |
| Benchmark: MMLU-Pro | 73.3 |
| Benchmark: SimpleQA | 17.1 |
| Benchmark: TruthfulQA | 65.3 |
| Pricing (Input) | — |
| Pricing (Output) | — |