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In ollama, how do you set up the larger context, and figure out what settings to use? I've yet to find a good guide. I'm also not quite sure how I should figure out what those settings should be for each model.

There's context length, but then, how does that relate to input length and output length? Should I just make the numbers match? 32k is 32k? Any pointers?

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For aider and ollama, see: https://aider.chat/docs/llms/ollama.html

Just for ollama, see: https://github.com/ollama/ollama/blob/main/docs/faq.md#how-c...

I’m using llama.cpp though, so I can’t confirm these methods.

Are you using it with aider? If so, how has your experience been?

Ollama breaks for me. If I manually set the context higher. The next api call from clone resets it back.

And ollama keeps taking it out of memory every 4 minutes.

LM studio with MLX on Mac is performing perfectly and I can keep it in my ram indefinitely.

Ollama keep alive is broken as a new rest api call resets it after. I’m surprised it’s this glitched with longer running calls and custom context length.

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