Instead have Claude know when to offload work to local models and what model is best suited for the job. It will shape the prompt for the model. Then have Claude review the results. Massive reduction in costs.
btw, at least on Macbooks you can run good models with just M1 32GB of memory.
I don't suppose you could point to any resources on where I could get started. I have a M2 with 64gb of unified memory and it'd be nice to make it work rather than burning Github credits.
You can then get Claude to create the MCP server to talk to either. Then a CLAUDE.md that tells it to read the models you have downloaded, determine their use and when to offload. Claude will make all that for you as well.
Mainly gpt-oss-20b as the thinking mode is really good. I occasionally use granite4 as it is a very fast model. But any 4GB model should easily be used.
Instead have Claude know when to offload work to local models and what model is best suited for the job. It will shape the prompt for the model. Then have Claude review the results. Massive reduction in costs.
btw, at least on Macbooks you can run good models with just M1 32GB of memory.