dolphin-2.6-mistral-7b-dpo-exl2

Exllama v2 Quantizations of dolphin-2.6-mistral-7b-dpo

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.

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/cognitivecomputations/dolphin-2.6-mistral-7b-dpo

Model Size: 7b

All VRAM requirements estimated from 16k context. For 32k context add ~2 GB.

<a href="https://huggingface.co/bartowski/dolphin-2.6-mistral-7b-dpo-exl2/tree/4_0">4.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/dolphin-2.6-mistral-7b-dpo-exl2/tree/5_0">5.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/dolphin-2.6-mistral-7b-dpo-exl2/tree/6_5">6.5 bits per weight</a>

<a href="https://huggingface.co/bartowski/dolphin-2.6-mistral-7b-dpo-exl2/tree/8_0">8.0 bits per weight</a>

Download instructions

With git:

git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/dolphin-2.6-mistral-7b-dpo-exl2

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 dolphin-2.6-mistral-7b-dpo-exl2:

mkdir dolphin-2.6-mistral-7b-dpo-exl2
huggingface-cli download bartowski/dolphin-2.6-mistral-7b-dpo-exl2 --local-dir dolphin-2.6-mistral-7b-dpo-exl2 --local-dir-use-symlinks False

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

mkdir dolphin-2.6-mistral-7b-dpo-exl2-6_5
huggingface-cli download bartowski/dolphin-2.6-mistral-7b-dpo-exl2 --revision 6_5 --local-dir dolphin-2.6-mistral-7b-dpo-exl2-6_5 --local-dir-use-symlinks False