phi-4-4bit

Maintained By
mlx-community

phi-4-4bit

PropertyValue
Original Modelmicrosoft/phi-4
FrameworkMLX
Quantization4-bit
Authormlx-community
Model URLHuggingFace Repository

What is phi-4-4bit?

phi-4-4bit is a 4-bit quantized version of Microsoft's Phi-4 model, specifically optimized for the MLX framework. This conversion was performed using mlx-lm version 0.21.0, making it more efficient for deployment while maintaining model functionality.

Implementation Details

The model is implemented using the MLX framework and can be easily used with the mlx-lm library. It supports both standard text generation and chat-based interactions through its built-in chat template system.

  • 4-bit quantization for reduced memory footprint
  • MLX framework optimization
  • Compatible with mlx-lm library
  • Supports chat template functionality

Core Capabilities

  • Text generation and completion tasks
  • Chat-based interactions using template system
  • Efficient inference with reduced precision
  • Seamless integration with MLX ecosystem

Frequently Asked Questions

Q: What makes this model unique?

This model stands out due to its 4-bit quantization, which significantly reduces memory requirements while maintaining functionality. It's specifically optimized for the MLX framework, making it ideal for efficient deployment in MLX-based applications.

Q: What are the recommended use cases?

The model is well-suited for applications requiring efficient text generation and chat-based interactions, particularly in environments where memory optimization is crucial. It's ideal for MLX-based applications that need to balance performance with resource utilization.

🍰 Interesting in building your own agents?
PromptLayer provides Huggingface integration tools to manage and monitor prompts with your whole team. Get started here.