model fallback rules that work with Ollama

[torchdesk]

Curious what people here are seeing.

I'm mostly working with Gemma in PyTorch on 7900 XTX. The part I'm trying to understand is quant drift.

Not looking for the perfect answer, mostly what worked in real use.