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f66216e399
Gemma3 uses sliding windows for its context on 5/6 layers, significantly reducing memory usage but leading to uneven usage across layers, which makes allocation to the correct GPU difficult. We currently estimate very conservatively by assuming all layers are consistent at the max size. Llama3.2-vision is also inconsistent between self attention and cross attention layers - at moment, we calculate the correct total size and then average this across layers. In some cases, this may lead to crashes if a large layer is placed on a GPU sized by the average. This allows memory estimation to calculate per-layer KV cache size and take this account when placing layers onto GPUs. We already do this for weights that vary per-tensor, so this is a logical extension. Fixes #9730 Fixes #9890 |
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| .. | ||
| internal | ||
| testdata/tools | ||
| auth.go | ||
| create_test.go | ||
| create.go | ||
| download.go | ||
| fixblobs_test.go | ||
| fixblobs.go | ||
| images.go | ||
| layer.go | ||
| manifest_test.go | ||
| manifest.go | ||
| model_test.go | ||
| model.go | ||
| modelpath_test.go | ||
| modelpath.go | ||
| prompt_test.go | ||
| prompt.go | ||
| routes_create_test.go | ||
| routes_delete_test.go | ||
| routes_generate_test.go | ||
| routes_list_test.go | ||
| routes_test.go | ||
| routes.go | ||
| sched_test.go | ||
| sched.go | ||
| sparse_common.go | ||
| sparse_windows.go | ||
| upload.go | ||