True sovereign AI — frontier 400B+ models running entirely on Mac, with nothing leaving your device. Our MINT research compresses the world's largest models to run on Apple Silicon. No GPUs, no cloud, no external dependencies. Just your Mac and the weights.
Data-free mixed-precision quantization on Apple Silicon via MLX. 109B models on a Mac Studio, 30B MoE on an M4 Pro. Budget-targeted — tell it your memory, get the optimal model.
Read the ResearchSensitivity-Aware Training produces models that are quantization-ready by construction. 25% less training memory, zero post-training compression — smarter from the start.
Read the ResearchSWAN/MINT-Guided Knowledge Distillation creates compact student models that inherit frontier intelligence and are deployment-ready from day one. Better transfer, instant compressibility.
Read the ResearchEvery method we publish is tested across real architectures and deployed to production. From quantization to training to distillation — proven across models from 8B to 400B+ parameters.
Every MINT result runs on a Mac via MLX. 109B models on M2 Ultra, 30B MoE on M4 Pro. No GPUs, no cloud — just unified memory.
TrainingModels born deployment-ready. SAT extends SWAN into the training loop — 25% less memory, zero post-training compression.
DistillationStudent models that inherit frontier intelligence and are instantly compressible. Better knowledge transfer, deployment-ready by construction.
Research PaperThe full paper. Outperforms calibration-based GPTQ across 6 model families from 8B to 109B. Specify your memory budget, get the optimal model.
We don't just publish papers — we deploy systems. Our research across SWAN, MINT, SAT, and SAKD powers a complete pipeline from frontier model to production deployment on the hardware you choose.
Frontier-scale models compressed to run on commodity hardware via SWAN & MINT quantization
Full mixed-precision quantization of the largest models — data-free, on a single machine
SAT produces quantization-ready models with significantly reduced training overhead
Empirical evidence across dense and MoE architectures proving every method we publish
Research only matters if it runs in production. We take SWAN, MINT, SAT, and SAKD from paper to deployment — compressed models running on hardware you own.
Identify which frontier models to compress and the optimal quantization strategy for your use case
Apply SWAN & MINT mixed-precision quantization to reduce model size while preserving accuracy
Fine-tune with SAT for domain-specific needs and use SAKD to create efficient student models
Production-ready models running on your commodity hardware, fully under your operational control
Original research in quantization, training, and distillation — engineered to run on infrastructure you control.
Let’s put frontier intelligence on your hardware.
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