Daniel Hiltgen 31f64183dc perf: build graph for next batch in parallel to keep GPU busy ... This refactors the main run loop of the ollama runner to perform the main GPU intensive tasks (Compute+Floats) in a go routine so we can prepare the next batch in parallel to reduce the amount of time the GPU stalls waiting for the next batch of work.		2025-08-19 12:33:03 -07:00
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imageproc.go	model: support for mistral-small in the ollama runner	2025-04-03 16:57:36 -07:00
model.go	perf: build graph for next batch in parallel to keep GPU busy	2025-08-19 12:33:03 -07:00
model_text.go	ml: add more rope options (#10775)	2025-05-20 15:51:08 -07:00
model_vision.go	ml: Panic rather than return error on tensor allocation failure	2025-05-22 14:38:09 -07:00