We’re thrilled to announce that Phi 4, the latest breakthrough in language models, is now available in the Private LLM for macOS App (Version 1.9.6). For users with Apple Silicon Macs and 24GB or more of RAM, this is your chance to unlock the full 16k context length of Phi 4 and run it locally—directly on your Mac.

What Sets Phi 4 on Private LLM Apart?

Optimized with Dynamic GPTQ Quantization

What is Dynamic GPTQ Quantization?

For those unfamiliar with GPTQ quantization, GPTQ is an advanced quantization technique that reduces the size of a machine learning model without compromising its performance. This process preserves key parameters critical for reasoning and text coherence, ensuring Phi 4 generates high-quality outputs while maintaining efficiency. For non-technical users, this means better, faster text generation with less computational overhead compared to traditional methods.

With dynamic GPTQ quantization, we selectively avoid quantizing certain parameters, further improving the accuracy gains that GPTQ quantization has, over RTN quantized models.

Unlike other local AI apps such as Ollama, LM Studio, or similiar llama.cpp/MLX wrappers, Private LLM uses GPTQ quantization to enhance the accuracy and efficiency of model inference. This results in richer, more coherent text generation that surpasses the output of other implementations.

Enhanced Performance Through Dynamic Quantization

To push Phi 4 even further, we’ve strategically left certain layers of the model unquantized. This hybrid approach ensures superior reasoning and text generation quality, allowing Phi 4 to excel where RTN quantized models falter.

Example of Phi 4 describing abstract concepts using sensory and emotional reasoning — Phi 4 excels at abstract problem-solving and logical reasoning.

Unlock Full 16k Context Length

Phi 4’s full 16k token context length is a game-changer for extended conversations, detailed code generation, and long-form content creation. Whether you’re drafting legal documents, engaging in complex mathematical reasoning, or writing software, Private LLM empowers you to tackle lengthy tasks entirely offline.

Metaphorical reasoning example generated by Phi 4, illustrating its advanced problem-solving and logical thinking. — Phi 4 showcases creative reasoning with metaphors and logical connections.

Phi 4 on Ollama / LM Studio vs. Private LLM

When comparing Phi 4 implementations, Private LLM leads the pack with its advanced optimization techniques.

Quantization Differences: Models on Ollama and LM Studio rely on RTN quantization, which can degrade text generation quality. Private LLM’s GPTQ quantization ensures sharper reasoning and better text coherence.
Layer Optimization: By leaving key layers unquantized, Private LLM unlocks the full potential of Phi 4, delivering higher-quality outputs compared to RTN-based approaches.

Run Phi 4 Locally with Private LLM

Running Phi 4 on Private LLM ensures unmatched privacy and performance. Here’s why:

Privacy-First: All computations happen locally on your Mac, with no internet connection required. Your data stays entirely on your device.
Tailored Quantization: Unlike apps pulling RTN-quantized models directly from Huggingface, we’ve optimized Phi 4 with GPTQ quantization for better text generation.
Offline Capability: Fully functional without an internet connection, Private LLM ensures reliable performance anytime, anywhere.

Real-World Use Cases for Phi 4

Phi 4 in Private LLM is not just a model—it’s a solution for diverse, high-impact use cases:

Drafting Legal Documents: Generate precise, structured legal drafts tailored to specific needs.
Mathematical Reasoning: Solve complex equations or assist in advanced scientific research.
Software Development: Aid developers in generating clean, optimized code snippets or troubleshooting errors in existing codebases.
Creative Writing: Compose long-form content like novels, scripts, or detailed blog posts effortlessly.

Early adopters on our TestFlight program and Discord community are already leveraging these capabilities. Users with 24GB/32GB of RAM have shared glowing feedback, emphasizing that Phi 4 is a top choice for those unable to run larger models like Llama 3.3 (70B) on their devices.

JSON object showcasing Phi 4's ability to follow structured instructions and generate logical outputs. — Phi 4 demonstrates structured reasoning and instruction-following capabilities with JSON generation.

Download and Run Phi 4 Locally with Private LLM

Getting started with Phi 4 on Private LLM is easy:

Update Your App: Ensure you’re using v1.9.6 or later.
Verify Your System Requirements: Phi 4 requires an Apple Silicon Mac with 24GB or more of RAM for optimal performance.
Download the Model: Go to app settings to download and configure Phi 4.

Experience Phi 4 Locally with Private LLM

Phi 4 on Private LLM offers the ultimate combination of privacy, performance, and quality. With GPTQ quantization, unquantized layers, and full 16k token context length, you’ll experience state-of-the-art AI capabilities right on your Mac—completely offline.

Ready to try Phi 4? Download Private LLM.