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Microsoft Phi-4-reasoning-plus - AI Language Models Tool

Overview

Microsoft Phi-4-reasoning-plus is an open-weight, 14B-parameter decoder-only Transformer finetuned for advanced reasoning. It emits a chain-of-thought reasoning trace followed by a concise summarization and supports a 32k token context length.

Key Features

  • Open-weight 14B dense decoder-only Transformer
  • Finetuned with chain-of-thought supervised traces and reinforcement learning
  • Optimized for advanced reasoning in math, science, and coding
  • 32k token context length for long-context tasks
  • Produces a reasoning chain-of-thought then a summarization
  • Targeted for constrained memory and latency settings
  • Hosted on Hugging Face model page

Ideal Use Cases

  • Research on reasoning and explainability
  • Complex math and scientific problem solving
  • Code reasoning, debugging, and explanation
  • Long-context summarization and document analysis
  • On-premises deployment where open weights are required
  • Benchmarking large language model reasoning capabilities

Getting Started

  • Open the Hugging Face model page at the provided URL
  • Review the model card, license, and usage guidelines
  • Download model weights or use Hugging Face Hub access
  • Install a compatible runtime (transformers, accelerate, or ONNX runtime)
  • Load the model configured for 32k token context length
  • Run inference on representative prompts to validate behavior
  • Benchmark memory and latency on your target hardware

Pricing

Pricing is not disclosed in the provided information. Hosting or inference costs depend on your chosen provider or self-hosting setup.

Limitations

  • 14B dense model requires substantial GPU memory for reasonable latency
  • Open-weight distribution requires users to manage hosting, updates, and security
  • Model is described and intended for research; production readiness not specified

Key Information

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