Run Synthia 13B 1.2 on Mac
Synthia 13B 1.2 runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.
Download the quantized weights
These are the exact OmniQuant weights Private LLM runs for Synthia 13B 1.2, published on our Hugging Face org. They're standard weights you can load in any app that supports the format, not just Private LLM.
Specifications
- Parameters
- 13B
- Context window
- 4K tokens
- License
- Llama 2
- Quantization
- OmniQuant 4-bit
- Family
- Llama 2 13B
What Synthia 13B 1.2 is good at
Synthia 13B v1.2 is a language model based on Llama 2 13B, fine-tuned to follow instructions and hold long conversations. It is designed to use Tree of Thought and Chain of Thought reasoning to give detailed, step-by-step answers. The model is uncensored, so users should be careful and responsible when using it.
Which of your devices can run it
Mac
How to run Synthia 13B 1.2 in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose Synthia 13B 1.2.
- Download the model once, then chat fully offline.
Variants & related models
Frequently asked questions
Synthia 13B 1.2 is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
Yes. Synthia 13B 1.2 runs on Macs with enough unified memory, such as Mac (Apple Silicon, 192GB), MacBook Pro (M4 Max, 128GB), Mac Studio / Pro (Apple Silicon, 96GB), MacBook Pro (M4 Max, 64GB), MacBook Pro (M4 Max, 48GB), MacBook Pro (M4 Max, 36GB), Mac (Apple Silicon, 32GB), MacBook Air (M4, 24GB), MacBook Air (M-series, 16GB), fully on-device in Private LLM.
Yes. Once downloaded in Private LLM, Synthia 13B 1.2 runs 100% on-device — no internet connection, and nothing is sent to any server.
Private LLM is a one-time purchase with no subscription and no per-message cost. The models themselves are open source — once downloaded, they run offline with nothing to pay per use.
Why run Synthia 13B 1.2 in Private LLM
Private LLM has run local AI on iPhone, iPad, and Mac since 2023, before Apple Intelligence existed. Inference happens on your device, so your Synthia 13B 1.2 conversations never reach a server. The part most apps gloss over is quantization, and that is exactly where on-device quality is won or lost. Most llama.cpp and MLX wrappers ship the same off-the-shelf 4-bit RTN weights. Private LLM ships GPTQ and OmniQuant quantization, tuned per model, and our 3-bit OmniQuant models match or beat those 4-bit RTN builds on the same Apple Silicon. Run the same model both ways and you feel it in the first reply. See how our quantization works.
Specifications and summary come from Synthia 13B 1.2's Hugging Face model card, released under the Llama 2 license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.