Microsoft Phi-3
Redefining what's possible with SLMs.
Overview
Phi-3 is a family of small language models (SLMs) developed by Microsoft. These models are designed to be highly capable and cost-effective, outperforming models of the same size and even larger ones on various benchmarks. The Phi-3 family includes different sizes, such as Phi-3-mini, and is optimized for on-device and other resource-constrained environments. They are available on Microsoft Azure AI Studio, Hugging Face, and Ollama.
✨ Key Features
- Small language models (SLMs) with high performance
- Cost-effective and efficient
- Outperforms larger models on some benchmarks
- Available in various sizes and context lengths
- Developed with a safety-first approach
🎯 Key Differentiators
- High performance for a small model size
- Optimized for on-device and resource-constrained environments
Unique Value: Provides highly capable and efficient small language models for a wide range of applications, especially on-device.
🎯 Use Cases (4)
🏆 Alternatives
Offers a compelling balance of performance, size, and cost-effectiveness compared to other small and large language models.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Open models available for use.
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