bartowski/openbuddy-gemma-7b-v19.1-4k-exl2

Exllama v2 Quantizations of openbuddy-gemma-7b-v19.1-4k

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</a> for quantization.

<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>

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

Original model: https://huggingface.co/OpenBuddy/openbuddy-gemma-7b-v19.1-4k

No GQA - VRAM requirements will be higher

Download instructions

With git:

git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/openbuddy-gemma-7b-v19.1-4k-exl2 openbuddy-gemma-7b-v19.1-4k-exl2-6_5

With huggingface hub (credit to TheBloke for instructions):

pip3 install huggingface-hub

To download the main (only useful if you only care about measurement.json) branch to a folder called openbuddy-gemma-7b-v19.1-4k-exl2:

mkdir openbuddy-gemma-7b-v19.1-4k-exl2
huggingface-cli download bartowski/openbuddy-gemma-7b-v19.1-4k-exl2 --local-dir openbuddy-gemma-7b-v19.1-4k-exl2 --local-dir-use-symlinks False

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

Linux:

mkdir openbuddy-gemma-7b-v19.1-4k-exl2-6_5
huggingface-cli download bartowski/openbuddy-gemma-7b-v19.1-4k-exl2 --revision 6_5 --local-dir openbuddy-gemma-7b-v19.1-4k-exl2-6_5 --local-dir-use-symlinks False

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

mkdir openbuddy-gemma-7b-v19.1-4k-exl2-6.5
huggingface-cli download bartowski/openbuddy-gemma-7b-v19.1-4k-exl2 --revision 6_5 --local-dir openbuddy-gemma-7b-v19.1-4k-exl2-6.5 --local-dir-use-symlinks False

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