metadata
license: apache-2.0
base_model:
- microsoft/Phi-4-mini-instruct
pipeline_tag: text-generation
tags:
- OpenVINO
- Optimum-Intel
- OpenArc
My Project OpenArc, an inference engine for OpenVINO, now supports this model and serves inference over OpenAI compatible endpoints for text to text and text with vision!
We have a growing Discord community of others interested in using Intel for AI/ML.
- Find documentation on the Optimum-CLI export process here
- Use my HF space Echo9Zulu/Optimum-CLI-Tool_tool to build commands and execute locally
This repo contains OpenVINO quantizied versions of Phi-4-mini-instruct.
I reccomend starting with Phi-4-mini-instruct-int4_asym-awq-se-ov
To download individual models from this repo use the provided snippet:
from huggingface_hub import snapshot_download
repo_id = "Echo9Zulu/Phi-4-mini-instruct-OpenVINO"
# Choose the weights you want
repo_directory = "Phi-4-mini-instruct-int4_asym-awq-se-ov"
# Where you want to save it
local_dir = "./Echo9Zulu_Phi-4-mini-instruct-OpenVINO"
snapshot_download(
repo_id=repo_id,
allow_patterns=[f"{repo_directory}/*"],
local_dir=local_dir,
local_dir_use_symlinks=True
)
print("Download complete!")