Llama 3.1 8B Instruct › NVIDIA RTX 5090 Laptop
Llama 3.1 8B Instruct on the NVIDIA RTX 5090 Laptop
Best measured: 97.8 tokens/s generation and 4,146 tokens/s prompt processing (Q4_K_M, llamafile).
For comparison, our size-scaling estimate for this combination is 123 tok/s.
Every run
| Quant | Backend | Generate tok/s | Prompt tok/s | Test | Build / by / notes | Source |
|---|---|---|---|---|---|---|
| Q4_K_M | llamafile | 105 | 4,463 | LocalScore avg | LocalScore rank 7/422 | LocalScore (localscore.ai) |
| Q4_K_M | llamafile | 90.6 | 3,829 | LocalScore avg | LocalScore rank 14/422 | LocalScore (localscore.ai) |
tg128 = generating 128 tokens; pp512 = reading a 512-token prompt (llama-bench). LocalScore averages several prompt and output lengths, so its numbers run lower than tg128.
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