Phi-3 Medium
Phi-3 Medium is Microsoft's 14-billion-parameter model in the Phi-3 small language model family, occupying the highest-capability tier among the Phi-3 variants. Microsoft trained the Phi series using carefully curated high-quality data — emphasizing textbook-style content and structured reasoning corpora — rather than simply scaling parameter count, resulting in a model that punches above its weight on reasoning and coding benchmarks.
At 14B parameters, Phi-3 Medium is deployable on higher-end consumer GPUs and servers with moderate VRAM, making it practical for on-premise inference. It handles instruction-following, code generation, and multi-step reasoning with notable competency relative to its size, and is a strong candidate for organizations wanting capable local inference without full frontier-scale infrastructure.
Key Features
14B parameter dense transformer optimized for quality-per-parameter efficiency
Strong reasoning and code generation relative to model size
Trained on curated high-quality data emphasizing structured reasoning
Deployable on-premise with moderate GPU hardware requirements
Good instruction-following across English-language tasks
Available in both instruct and base variants for fine-tuning flexibility
Ideal Use Cases
On-premise code assistance and developer tooling without cloud dependency
Structured reasoning tasks such as math problems and logical deduction
Instruction-following workflows in privacy-sensitive enterprise environments
Fine-tuning base for domain-specific language model customization
Example Prompts for Phi-3 Medium
Technical Specifications
| Provider | Microsoft |
| Category | Text |
| Modality | Text -> Text |
Frequently Asked Questions
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