Llama 2 7B › NVIDIA Tesla V100 32GB

Llama 2 7B on the NVIDIA Tesla V100 32GB

Best measured: 142 tokens/s generation and 1,411 tokens/s prompt processing (Q4_0, Vulkan, FA on).

Every run

QuantBackendGenerate tok/sPrompt tok/sTestBuild / by / notesSource
Q4_0Vulkan FA on1421,411tg1287d77f07 llama.cpp Vulkan scoreboard (#10879)
Q4_0CUDA FA on1352,974tg12851f5a45 @Hedede llama.cpp CUDA scoreboard (#15013)
Q4_0Vulkan FA off1301,391tg1287d77f07 llama.cpp Vulkan scoreboard (#10879)
Q4_0CUDA FA off1293,043tg12851f5a45 @Hedede 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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