Llama 2 7B on the NVIDIA RTX A4500
Best measured: 103 tokens/s generation and 3,453 tokens/s prompt processing (Q4_0, CUDA, FA on).
Every run
| Quant | Backend | Generate tok/s | Prompt tok/s | Test | Build / by / notes | Source |
|---|---|---|---|---|---|---|
| Q4_0 | CUDA FA on | 103 | 3,453 | tg128 | 5cdb27e @aleksyx | llama.cpp CUDA scoreboard (#15013) |
| Q4_0 | CUDA FA off | 97.3 | 2,827 | tg128 | 5cdb27e @aleksyx | llama.cpp CUDA scoreboard (#15013) |
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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