bartowski/

Phi-3-mini-4k-instruct-exl2

Using turboderp's ExLlamaV2 v0.0.20 for quantization.

Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.

Conversion was done using the default calibration dataset.

Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.

Original model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct

With git:

With huggingface hub (credit to TheBloke for instructions):

To download the main (only useful if you only care about measurement.json) branch to a folder called Phi-3-mini-4k-instruct-exl2:

To download from a different branch, add the --revision parameter:

Linux:

Windows (which apparently doesn't like _ in folders sometimes?):