Glimmer model details: full training pipeline and 50 tok/s on a MacBook via 4-bit quant + DFlash
TimDarcet · x · 2026-10-08
Developer TimDarcet shared the first technical details of his model project Glimmer, with a full tech report coming:
- Training pipeline: pretrain → reasoning midtrain → LC (131k long context) → SFT → RL distillation → RL, with soft distillation of Spark along the way.
- Synthetic data used for agentic tasks and privacy.
- On-device deployment: 4-bit quantization + DFlash yields 50 tok/s on a MacBook.
Related event: Open-Source Model Glimmer Runs at 50 tok/s on a MacBook(2 posts)→
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