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Phi-3-Mini-4K-Instruct ONNX-Web - Optimized AI Model for Browser Inference
A browser-optimized version of Phi-3-Mini-4K-Instruct, designed for fast, efficient inference in web environments using ONNX Runtime Web and WebGPU acceleration.
About Model
Phi-3-Mini-4K-Instruct ONNX-Web is a high-performance, web-optimized AI model from Microsoft, designed for efficient execution within web browsers using ONNX Runtime Web. It allows developers to run AI models entirely in-browser, leveraging WebGPU acceleration for low-latency text generation and instruction-following tasks. This model is an optimized version of Phi-3-Mini-4K-Instruct, supporting 4K token context length, and incorporating fine-tuned reasoning, instruction adherence, and lightweight computation.
Phi-3-Mini-4K-Instruct ONNX-Web - Optimized AI Model for Browser Inference
Metadata
MIT
Microsoft
Text Generation
N.A.
Open
Sector Agnostic
12/03/25 06:35:35
0
Activity Overview
0
1 
0 
137
Tags
- Text Generation
- Instruction Following
- Reasoning
- ONNX
- Web
- Transformers
- NLP
- Microsoft
License Control
MIT
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