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| Attribute |
meta-llama
|
|---|---|
| Company | meta-llama |
| Release Date | 2024-09-25 |
| Parameters (B) | 90 |
| Architecture | Transformer |
| Context Window | 128000 |
| Input Modalities | text, image |
| Open Source | Yes |
| License | llama3.2 |
| Score | 6 |
| VRAM (GB) | 60 |
| Compute | Minimum ~60GB VRAM with Q4_K_M quantization; ~180GB VRAM for BF16 inference (2x A100 80GB or H100 recommended) |
| Benchmark: GPQA | 46.1 |
| Benchmark: GSM8K | 93.1 |
| Pricing (Input) | — |
| Pricing (Output) | — |