Home › Language Models › Microsoft Phi-4

Microsoft Phi-4 - AI Language Models Tool

Overview

Microsoft Phi-4 is a 14B-parameter dense decoder-only transformer trained on a blend of synthetic, public domain, and academic data. It underwent supervised fine-tuning and direct preference optimization to improve instruction adherence, reasoning, and safety, making it suitable for research and generative AI applications.

Key Features

  • 14B-parameter dense decoder-only transformer
  • Trained on synthetic, public domain, and academic data
  • Supervised fine-tuning for improved instruction adherence
  • Direct preference optimization for better reasoning and safety
  • Designed for research and generative AI applications
  • Model page available on Hugging Face

Ideal Use Cases

  • Instruction-following research and experiments
  • Prototype chatbots and conversational agents
  • Text generation and content assistance
  • Benchmarking model behavior and safety
  • Academic study of preference-optimized models

Getting Started

  • Open the model page at the Hugging Face URL
  • Read the model card for details and license terms
  • Check whether weights are downloadable or inference is hosted
  • Run small, safety-focused tests to evaluate behavior
  • Integrate via Hugging Face APIs or local deployment if permitted

Pricing

Pricing and commercial terms are not disclosed in the provided metadata. Check the Hugging Face model page or Microsoft for pricing and licensing information.

Limitations

  • Model card does not list specific training datasets
  • Pricing, licensing, and deployment terms are not provided in the metadata

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.