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bartowski/Phi-3-medium-4k-instruct-exl2

sourceHugging Facemitupdated 2y agoView on Hugging Face
7likes8downloads
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Exllama v2 Quantizations of Phi-3-medium-4k-instruct

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.21">turboderp's ExLlamaV2 v0.0.21</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/microsoft/Phi-3-medium-4k-instruct

Prompt format

<|user|>
{prompt}<|end|>
<|assistant|>

Available sizes

BranchBitslm_head bitsVRAM (4k)VRAM (16k)Description
8_08.08.014.0 GB16.4 GBMax quality that ExLlamaV2 can produce, recommended.
6_56.58.012.5 GB14.9 GBNear unquantized performance at vastly reduced size, recommended.
5_05.06.010.0 GB12.4 GBSlightly lower quality vs 6.5.
4_254.256.08.8 GB11.2 GBGPTQ equivalent bits per weight.
3_53.56.07.6 GB10.0 GBLower quality, not recommended.

Download instructions

With git:

shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Phi-3-medium-4k-instruct-exl2 Phi-3-medium-4k-instruct-exl2-6_5

With huggingface hub (credit to TheBloke for instructions):

shell
pip3 install huggingface-hub

To download a specific branch, use the --revision parameter. For example, to download the 6.5 bpw branch:

Linux:

shell
huggingface-cli download bartowski/Phi-3-medium-4k-instruct-exl2 --revision 6_5 --local-dir Phi-3-medium-4k-instruct-exl2-6_5

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

shell
huggingface-cli download bartowski/Phi-3-medium-4k-instruct-exl2 --revision 6_5 --local-dir Phi-3-medium-4k-instruct-exl2-6.5

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski