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refactor kv estimation
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@@ -123,13 +123,7 @@ func EstimateGPULayers(gpus []discover.GpuInfo, ggml *GGML, projectors []string,
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slog.Warn("model missing blk.0 layer size")
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}
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// fp16 k,v = sizeof(float16) * n_ctx * n_layer * (n_embd_head_k + n_embd_head_v) * n_head_kv
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var kv uint64 = 2 * uint64(opts.NumCtx) * ggml.KV().BlockCount() * (ggml.KV().EmbeddingHeadCountK() + ggml.KV().EmbeddingHeadCountV()) * ggml.KV().HeadCountKV()
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// KV is proportional to the number of layers
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layerSize += kv / ggml.KV().BlockCount()
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graphPartialOffload, graphFullOffload = ggml.GraphSize(uint64(opts.NumCtx), uint64(min(opts.NumCtx, opts.NumBatch)))
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kv, graphPartialOffload, graphFullOffload := ggml.GraphSize(uint64(opts.NumCtx), uint64(min(opts.NumCtx, opts.NumBatch)))
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if graphPartialOffload == 0 {
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graphPartialOffload = ggml.KV().GQA() * kv / 6
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}
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@@ -137,6 +131,9 @@ func EstimateGPULayers(gpus []discover.GpuInfo, ggml *GGML, projectors []string,
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graphFullOffload = graphPartialOffload
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}
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// KV is proportional to the number of layers
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layerSize += kv / ggml.KV().BlockCount()
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// on metal there's no partial offload overhead
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if gpus[0].Library == "metal" {
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graphPartialOffload = graphFullOffload
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