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| Attribute |
meta-llama
|
|---|---|
| Company | meta-llama |
| Release Date | 2024-09-25 |
| Parameters (B) | 1.2 |
| Architecture | Transformer |
| Context Window | 128000 |
| Input Modalities | text |
| Open Source | Yes |
| License | llama3.2 |
| Score | 0 |
| VRAM (GB) | 4 |
| Compute | Minimum ~4GB VRAM for bf16 inference (~2.5GB model weights); optimized for edge and mobile deployment on consumer GPUs, ARM CPUs, and NPUs via llama.cpp or ExecuTorch |
| Benchmark: GPQA | 18.7 |
| Pricing (Input) | 0.03 |
| Pricing (Output) | 0.20 |