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dolphin-2_6-phi-2

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Cognitive Computations 1.37k

Yes, here is a converted model: https://huggingface.co/Demonthos/dolphin-2_6-phi-2-candle/blob/main/model-q4k.gguf
And the code to run the model: https://github.com/floneum/floneum/pull/120/files#diff-3397acf5a72f28f207293cb878d25773c9c3f5ab4c4e1fc88eec1a9e9857e033

I wanna see quip sharp version

https://github.com/Cornell-RelaxML/quip-sharp

I like the idea of quip# because it would be so tiny that it would work cpu even without ggml, but from what I remember from the paper is that the 2 bit quantization works less well for smaller models. Might still be beter than gptq 3 bit but I think we get more performance with 5-6 bit gguf version.
Note that the bloke just published a gguf version :)