Nick

That would be helpful! +1

mode use the function with the argument : `model = torch.compile(model, mode="reduce overhead")` _**Or:**_ `model = torch.compile(model, mode="max-autotune")` _**OR:**_ `model = torch.compile(model, mode="reduce-overhead", fullgraph=True, backend='Eager')` - fastest

> @NeuralAIM did you manage to actually run it with YOLOv5 model? Yes 💯

| Model | Test Size | APval | AP50val | AP75val | Param. | FLOPs | | :-- | :-: | :-: | :-: | :-: | :-: | :-:...

**When will this be applied in the main branch?**

> > **When will this be applied in the main branch?** > > We have to rework this feature in a new pr since this pr is incompatible with the...

Same with `sentence-transformers/LaBSE` [b2636](https://github.com/ggerganov/llama.cpp/releases/tag/b2636) - working

**Output:**  **API Info:**  https://github.com/paul-gauthier/aider/issues/705#issuecomment-2195777748, Why is there no auto-continue for other models?

> > Why is there no auto-continue for other models? > > Because Anthropic provides prefill of assistant responses, so the output can be resumed. https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/prefill-claudes-response **Added:** https://platform.deepseek.com/api-docs/news/news0725  @paul-gauthier

**DeepSeek API introduces Context Caching on Disk**   https://platform.deepseek.com/api-docs/news/news0802/