bartowski/

DPOpenHermes-7B-v2-experimental-exl2

Using turboderp's ExLlamaV2 experimental for quantization.

Each branch contains an individual bits per weight. This is an experimental ExLlamaV2 quantization with no measurement.json produced.

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/openaccess-ai-collective/DPOpenHermes-7B-v2

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 DPOpenHermes-7B-v2-experimental-exl2:

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