This repository is a quantized version of the original model
microsoft/Phi-3.5-MoE-instruct
which is the FP16 half-precision official version released by Microsoft.
Model Summary
Phi-3.5-MoE is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available documents - with a focus on very high-quality, reasoning dense data. The model supports multilingual and comes with 128K context length (in tokens). The model underwent a rigorous enhancement process, incorporating supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures.
π‘ Phi-3 Portal
π° Phi-3 Microsoft Blog
π Phi-3 Technical Report
π©βπ³ Phi-3 Cookbook
π₯οΈ Try It
MoE references: πPhi-3.5-MoE Blog | πGRIN MoE
Phi-3.5: [mini-instruct]; [MoE-instruct] ; [vision-instruct]
Running π
TGI
model=danieldk/Phi-3.5-MoE-instruct-AWQ-INT4
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data \
ghcr.io/huggingface/text-generation-inference:2.4.0 \
--model-id $model --num-shard 2
Quantization Reproduction
Soon (need to upstream an AutoAWQ patch).
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