Created
November 30, 2025 10:42
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SoL calculation for gpt-oss for 5090
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| Model stats: | |
| - Total parameters: 21B | |
| - Active parameters per token: 3.6B | |
| - Experts: 32 total, 4 active per layer | |
| - Layers: 24 | |
| - Expert precision: 4-bit (0.5 bytes per parameter) | |
| - Dense precision: BF16 (2 bytes per parameter) | |
| 1. Expert size: | |
| Each expert is approximately 26 million parameters. | |
| 2. Active expert parameters per token: | |
| 24 layers * 4 experts per layer * 26M parameters | |
| = 96 * 26M | |
| = 2.496B | |
| ≈ 2.5B parameters | |
| 3. Dense parameters (attention + embeddings): | |
| Total active = 3.6B | |
| Expert portion = 2.5B | |
| Dense parameters = 3.6B - 2.5B = 1.1B | |
| 4. Convert parameters to bytes: | |
| Sparse (MoE) part, 4-bit precision: | |
| 2.5B parameters * 0.5 bytes = 1.25 GB | |
| Dense part, BF16 precision: | |
| 1.1B parameters * 2 bytes = 2.20 GB | |
| 5. Total payload per token: | |
| 1.25 GB + 2.20 GB = 3.45 GB | |
| 6. Tokens per second (assuming 1800 GB/s bandwidth for 5090): | |
| 1800 GB/s / 3.45 GB per token ≈ 521 tokens per second |
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