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prism-ml

Company2 stories

  1. Open sourceReach 48

    Bonsai-2 crunches 27B models down to 6GB with ternary weights

    prism-ml just launched Bonsai-2, a collection of radically compressed models that restrict weights to -1, 0, and +1. The approach shrinks a 27B-parameter base model to under 6GB—slashing its footprint by over 9x while preserving baseline performance on consumer-grade GPUs and Apple silicon.

  2. Open sourceReach 48

    PrismML fits a 27B multimodal model onto an iPhone

    PrismML just released Bonsai 27B, an open-source multimodal model based on Qwen3.6 that fits onto consumer phones and laptops. Its extreme 1-bit binary variant shrinks the memory footprint to just 3.9GB—roughly 14x smaller than standard FP16—while hitting 11 tokens per second on an iPhone 17 Pro. Both the 1-bit and 1.58-bit ternary models are freely downloadable under the Apache 2.0 license.