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Phi-4-mini-instruct - AI Language Models Tool

Overview

Phi-4-mini-instruct is a 3.8B-parameter lightweight language model from Microsoft, part of the Phi-4 family. It is designed for high-quality reasoning and instruction-following tasks and supports very long contexts. The model supports a 128K token context length and is optimized via supervised fine-tuning and direct preference optimization. It is intended for commercial and research use in memory- and compute-constrained, latency-sensitive environments.

Key Features

  • 3.8B-parameter lightweight language model
  • Built from the Phi-4 family
  • High-quality reasoning and instruction-following
  • Supports 128K token context length
  • Optimized via supervised fine-tuning and direct preference optimization
  • Suitable for commercial and research use
  • Designed for memory- and compute-constrained, latency-sensitive environments

Ideal Use Cases

  • Instruction-following assistants and chatbots
  • Complex reasoning and multi-step problem solving
  • Long-context document understanding
  • Low-latency inference on constrained hardware
  • Research experiments with instruction-tuned models

Getting Started

  • Open the model repository at https://huggingface.co/microsoft/Phi-4-mini-instruct
  • Review the model card, README, and usage instructions on the repository
  • Evaluate the model on representative inputs to verify behavior and performance
  • Integrate the model into your inference stack and monitor latency and resource usage
  • Consult your hosting or compute provider for deployment costs and scaling

Pricing

No pricing information is provided on the model page. Check Hugging Face hosting or your compute provider for deployment and inference costs.

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
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