Phi-tiny-MoE is a lightweight Mixture of Experts (MoE) model with 3.8B total parameters and 1.1B activated parameters. It is compressed and distilled from the base model shared by Phi-3.5-MoE and GRIN-MoE using the SlimMoE approach, then post-trained via supervised fine-tuning …
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text-generation→
chageyun.aiDetail.sectionCapabilities
chat
chageyun.aiDetail.sectionSpecs
chageyun.ai.deploymentPlatform
huggingface
chageyun.ai.hardwareType
nvidiaamdintelapple_mcpu
chageyun.ai.quantization
fp16bf16
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