Phi-4-mini-instruct.gguf
| Property | Value |
|---|---|
| Author | Mungert |
| Context Length | 128K tokens |
| Model Format | GGUF (Multiple quantizations) |
| Model Source | Hugging Face |
What is Phi-4-mini-instruct.gguf?
Phi-4-mini-instruct is a lightweight instruction-following model from Microsoft's Phi family, specifically optimized for efficient deployment. Built on synthetic data and carefully filtered web content, it emphasizes high-quality reasoning capabilities while maintaining a smaller footprint compared to larger language models.
Implementation Details
The model is available in multiple GGUF quantizations, including BF16, F16, and various quantized versions (Q4_K, Q6_K, Q8), allowing users to choose the optimal format based on their hardware capabilities and memory constraints. The model underwent both supervised fine-tuning and direct preference optimization to enhance instruction following and safety measures.
- Multiple quantization options for different deployment scenarios
- Optimized chat format with system and user message support
- Tool-enabled function calling capabilities
- Enhanced with Unsloth fixes for improved inference stability
Core Capabilities
- 128K token context length support
- Precise instruction following
- Function calling with structured JSON tools
- Efficient CPU inference with quantized versions
- Balanced performance across different hardware configurations
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its efficient design that balances performance with resource usage, offering multiple quantization options while maintaining reasoning capabilities. Its 128K context length and function-calling abilities make it versatile for various applications.
Q: What are the recommended use cases?
The model is ideal for deployment scenarios where resource efficiency is crucial. It's particularly suitable for CPU-based inference, chatbots, function calling applications, and scenarios requiring extended context understanding within its 128K token limit.
