Phi-1 Models by Microsoft Research
Last refreshed 2026-10-17. Next refresh: weekly.
Details
About
The Phi-1 family of large language models (LLMs), developed by Microsoft, comprises several models designed for specific tasks, primarily focusing on code generation and reasoning. Phi-1, the initial model in the family, is a transformer-based model with 1.3 billion parameters, specializing in basic Python coding 18. Its training utilized a blend of "textbook quality" data sourced from the web and synthetic data generated using GPT-3.5 18. Despite its relatively small size compared to other LLMs, Phi-1 demonstrates impressive accuracy, exceeding 50% on the HumanEval benchmark for simple Python coding tasks 18. Subsequent models in the Phi family, such as Phi-1.5 and Phi-2, build upon this foundation, expanding capabilities to encompass broader natural language tasks while maintaining a focus on efficiency and high-quality data 911. These models showcase Microsoft's research into creating smaller, more efficient LLMs that rival the performance of much larger models 29.
Decision facts
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 2K context and 1.3B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Phi-1 | Use when the workload needs 2K context and 1.3B parameters. | 2023-06 | 2K context1.3B parameters | Current |
Release Timeline
2 release groupsReplaced By
Specifications(2 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| Phi-1 | 2023-06 | 2K | 1.3B |
