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Phi-3-mini-4k-instruct - AI Language Models Tool

Overview

Phi-3-mini-4k-instruct is a 3.8B parameter, instruction-tuned language model from Microsoft built on the Phi-3 datasets. It targets robust text generation, logical reasoning, and multi-turn conversation, with support for 4K and 128K token contexts.

Key Features

  • 3.8B parameter instruction-tuned model
  • Supports 4K and 128K token contexts
  • Designed for robust text generation and logical reasoning
  • Suitable for multi-turn conversational applications
  • Lightweight footprint compared with larger LLMs

Ideal Use Cases

  • Multi-turn chatbots and conversational agents
  • Long-context summarization and document understanding
  • Reasoning and instruction-following tasks
  • Prototyping where smaller parameter counts are preferred

Getting Started

  • Open the model page at https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
  • Read the model card for usage guidance and license details
  • Load the model via the Hugging Face Hub or supported SDKs
  • Test with small inputs and evaluate task performance
  • Deploy using your preferred inference provider or infrastructure

Pricing

No pricing information provided. Check hosting, cloud, or inference providers for any associated costs.

Limitations

  • 3.8B parameter size may limit capability compared with larger models
  • Model card and license details should be reviewed before production use

Key Information

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