phi-3-mini-4k-instruct#

  • Context Length: 4096

  • Model Name: phi-3-mini-4k-instruct

  • Languages: en

  • Abilities: chat

  • Description: The Phi-3-Mini-4k-Instruct is a 3.8 billion-parameter, lightweight, state-of-the-art open model trained using the Phi-3 datasets.

Specifications#

Model Spec 1 (ggufv2, 4 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 4

  • Quantizations: fp16, q4

  • Engines: llama.cpp

  • Model ID: microsoft/Phi-3-mini-4k-instruct-gguf

  • Model Hubs: Hugging Face

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name phi-3-mini-4k-instruct --size-in-billions 4 --model-format ggufv2 --quantization ${quantization}

Model Spec 2 (pytorch, 4 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 4

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: microsoft/Phi-3-mini-4k-instruct

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name phi-3-mini-4k-instruct --size-in-billions 4 --model-format pytorch --quantization ${quantization}