perplexity : support using multiple sequences to allow larger batch sizes #5946
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compilade
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Mar 9, 2024
compilade
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Mar 9, 2024
ggerganov
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Mar 9, 2024
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This in theory should applied to imatrix as well |
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Probably won't help with imatrix unless using very small context sizes. As it is, imatrix will also not benefit from pipeline parallelism because reading the activations forces a synchronization. |
hazelnutcloud
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Mar 10, 2024
…izes (ggerganov#5946) * perplexity : support using multiple sequences to allow larger batch sizes ggml-ci * set cparams.n_parallel to the number of sequences * print tested n_ctx, add assert
NeoZhangJianyu
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Mar 12, 2024
…izes (ggerganov#5946) * perplexity : support using multiple sequences to allow larger batch sizes ggml-ci * set cparams.n_parallel to the number of sequences * print tested n_ctx, add assert
jordankanter
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…izes (ggerganov#5946) * perplexity : support using multiple sequences to allow larger batch sizes ggml-ci * set cparams.n_parallel to the number of sequences * print tested n_ctx, add assert
hodlen
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…izes (ggerganov#5946) * perplexity : support using multiple sequences to allow larger batch sizes ggml-ci * set cparams.n_parallel to the number of sequences * print tested n_ctx, add assert
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Allows increasing the batch size with
perplexity. The batch size must be a multiple ofn_ctx.There is a small improvement to the performance since the batching API allows extracting only the logits that are actually used, which reduces the amount of data that needs to be copied back from the GPU, and increasing the batch size can help with quantized models when using a small context, but mainly the goal is to allow using larger batch sizes with pipeline parallelism when using multiple GPUs.