Phi-4-multimodal-instruct-onnx
68
78
2 languages
license:mit
by
microsoft
Audio Model
OTHER
New
68 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary
This is an ONNX version of the Phi-4 multimodal model that is quantized to int4 precision to accelerate inference with ONNX Runtime.
Training Data Analysis
🟡 Average (5.2/10)
Researched training datasets used by Phi-4-multimodal-instruct-onnx with quality assessment
Specialized For
code
general
science
multilingual
Training Datasets (3)
the pile
🟢 8/10
code
general
science
multilingual
Key Strengths
- •Deliberate Diversity: Explicitly curated to include diverse content types (academia, code, Q&A, book...
- •Documented Quality: Each component dataset is thoroughly documented with rationale for inclusion, en...
- •Epoch Weighting: Component datasets receive different training epochs based on perceived quality, al...
common crawl
🔴 2.5/10
general
science
Key Strengths
- •Scale and Accessibility: At 9.5+ petabytes, Common Crawl provides unprecedented scale for training d...
- •Diversity: The dataset captures billions of web pages across multiple domains and content types, ena...
- •Comprehensive Coverage: Despite limitations, Common Crawl attempts to represent the broader web acro...
Considerations
- •Biased Coverage: The crawling process prioritizes frequently linked domains, making content from dig...
- •Large-Scale Problematic Content: Contains significant amounts of hate speech, pornography, violent c...
wikipedia
🟡 5/10
science
multilingual
Key Strengths
- •High-Quality Content: Wikipedia articles are subject to community review, fact-checking, and citatio...
- •Multilingual Coverage: Available in 300+ languages, enabling training of models that understand and ...
- •Structured Knowledge: Articles follow consistent formatting with clear sections, allowing models to ...
Considerations
- •Language Inequality: Low-resource language editions have significantly lower quality, fewer articles...
- •Biased Coverage: Reflects biases in contributor demographics; topics related to Western culture and ...
Explore our comprehensive training dataset analysis
View All DatasetsCode Examples
Download the model directly using the Hugging Face CLIbashonnx
# Download the model directly using the Hugging Face CLI
huggingface-cli download microsoft/Phi-4-multimodal-instruct-onnx --include cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4/* --local-dir .
# Install the CPU package of ONNX Runtime GenAI
pip install --pre onnxruntime-genai
# Please adjust the model directory (-m) accordingly
curl https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/examples/python/phi4-mm.py -o phi4-mm.py
python phi4-mm.py -m cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4 -e cpuDownload the model directly using the Hugging Face CLIbashonnx
# Download the model directly using the Hugging Face CLI
huggingface-cli download microsoft/Phi-4-multimodal-instruct-onnx --include cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4/* --local-dir .
# Install the CPU package of ONNX Runtime GenAI
pip install --pre onnxruntime-genai
# Please adjust the model directory (-m) accordingly
curl https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/examples/python/phi4-mm.py -o phi4-mm.py
python phi4-mm.py -m cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4 -e cpuDownload the model directly using the Hugging Face CLIbashonnx
# Download the model directly using the Hugging Face CLI
huggingface-cli download microsoft/Phi-4-multimodal-instruct-onnx --include cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4/* --local-dir .
# Install the CPU package of ONNX Runtime GenAI
pip install --pre onnxruntime-genai
# Please adjust the model directory (-m) accordingly
curl https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/examples/python/phi4-mm.py -o phi4-mm.py
python phi4-mm.py -m cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4 -e cpuDownload the model directly using the Hugging Face CLIbashonnx
# Download the model directly using the Hugging Face CLI
huggingface-cli download microsoft/Phi-4-multimodal-instruct-onnx --include cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4/* --local-dir .
# Install the CPU package of ONNX Runtime GenAI
pip install --pre onnxruntime-genai
# Please adjust the model directory (-m) accordingly
curl https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/examples/python/phi4-mm.py -o phi4-mm.py
python phi4-mm.py -m cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4 -e cpuDownload the model directly using the Hugging Face CLIbashonnx
# Download the model directly using the Hugging Face CLI
huggingface-cli download microsoft/Phi-4-multimodal-instruct-onnx --include cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4/* --local-dir .
# Install the CPU package of ONNX Runtime GenAI
pip install --pre onnxruntime-genai
# Please adjust the model directory (-m) accordingly
curl https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/examples/python/phi4-mm.py -o phi4-mm.py
python phi4-mm.py -m cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4 -e cpuDownload the model directly using the Hugging Face CLIbashonnx
# Download the model directly using the Hugging Face CLI
huggingface-cli download microsoft/Phi-4-multimodal-instruct-onnx --include cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4/* --local-dir .
# Install the CPU package of ONNX Runtime GenAI
pip install --pre onnxruntime-genai
# Please adjust the model directory (-m) accordingly
curl https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/examples/python/phi4-mm.py -o phi4-mm.py
python phi4-mm.py -m cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4 -e cpuDownload the model directly using the Hugging Face CLIbashonnx
# Download the model directly using the Hugging Face CLI
huggingface-cli download microsoft/Phi-4-multimodal-instruct-onnx --include cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4/* --local-dir .
# Install the CPU package of ONNX Runtime GenAI
pip install --pre onnxruntime-genai
# Please adjust the model directory (-m) accordingly
curl https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/examples/python/phi4-mm.py -o phi4-mm.py
python phi4-mm.py -m cpu_and_mobile/cpu-int4-rtn-block-32-acc-level-4 -e cpuDeploy This Model
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