# Phi-4 Small Language Models — AI Tool Profile
> Source: https://agentrobbies.com/tools/phi-4-models
> Ecosystem: MICROSOFT | Verified: 2026-10-11
> 100% Independent Listing • Zero Affiliate Links

## Description
Microsoft Research's state-of-the-art 14B parameter open-weights reasoning model, trained on curated synthetic data with exceptional math and coding benchmarks.

## Access & Pricing
Free & Open Source (Hugging Face / Azure AI / Ollama).

## Key Capabilities
- 14B model outperforming larger 70B models in math and logic
- Permissive MIT / open license for edge and local deployment
- Optimized for ONNX Runtime and local GPU execution

## Alternatives & Replaces
- Llama 3.3 8B
- Gemma 2 9B

## Robbie's Take
**Robbie's Hardware & Practical Fit:** Excellent candidate for local execution with zero cloud lock-in. For 7B-8B parameter models, budget at least 8 GB of unified memory or VRAM (Q4_K_M quantization). For 32B-70B models, aim for 24 GB+ to maintain interactive throughput without CPU offload penalties.

## Direct Link
https://huggingface.co/microsoft/phi-4