Home › Language Models › Phi-3-mini-4k-instruct

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. The model supports both 4K and 128K token context windows. Visit the model page for technical details and usage examples: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct

Key Features

  • 3.8B-parameter instruction-tuned language model.
  • Built on the Microsoft Phi-3 datasets.
  • Supports 4K and 128K token context windows.
  • Designed for multi-turn conversation and instruction following.
  • Targeted at robust text generation and logical reasoning.
  • Lightweight footprint for lower-resource deployments.

Ideal Use Cases

  • Multi-turn conversational agents and chatbots.
  • Long-context document summarization or analysis (up to 128K tokens).
  • Instruction-following assistants and task automation.
  • Reasoning tasks and chain-of-thought style prompts.
  • Prototyping models where smaller parameter counts are preferred.

Getting Started

  • Open the model page on Hugging Face.
  • Review the model card, usage examples, and license.
  • Choose hosting: local, cloud, or Hugging Face Inference API.
  • Load the model in your preferred framework or runtime.
  • Test with short instruction prompts, then scale to long-context inputs.

Pricing

Not disclosed in the provided model data. Check hosting providers or the Hugging Face model page for availability and pricing.

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
Visit Official Website

Related Tools

Qwen2.5-7B

Qwen2.5-7B is a large language model designed for text generation, featuring improvements in coding, mathematics, instruction following, long text generation, and multilingual support. It supports context lengths up to 128K tokens and is intended for sophisticated NLP tasks.
DeepSeek-V3

An open-source language model from deepseek-ai offering efficient long-context inference with native sparse attention and support for multiple precisions.
Llama 3

Llama 3 is an open access large language model (LLM) released by Meta, available in various configurations (8B and 70B parameters) with capabilities for fine-tuning and integrations into platforms like Hugging Face, Google Cloud, and Amazon SageMaker.
UNfilteredAI-1B

A large-scale text generation model designed for creative and unconstrained content production without traditional filtering.
Shuttle-3

Shuttle-3 is a state-of-the-art language model designed for high-quality text generation, particularly suited for complex chat, multilingual communication, and reasoning tasks. It is fine-tuned from the Qwen-2.5-72b-Instruct model and designed to emulate high-quality prose similar to Claude 3 models.
WizardLM

WizardLM is a state-of-the-art large language model designed for complex chat, multilingual tasks, reasoning, and agent functionalities. It features an AI-powered pipeline (Auto Evol-Instruct) that optimizes instruction datasets for improved performance across various domains and leverages Arena Learning for an expanded learning pool of challenging instruction data.