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PrismML compresses 27B AI model to fit on smartphones

By PulseAugur Editorial · [5 sources] ·

PrismML has developed Bonsai 27B, a 27-billion-parameter multimodal AI model that has been compressed to approximately 3.9 GB, making it capable of running on mobile phones. This significant compression, achieved through techniques like 1-bit quantization, allows the model to retain about 90% of its original benchmark performance, with specific strengths in math. While the model can fit on high-end smartphones, its practical daily use is still subject to factors like memory cache and sustained performance. AI

IMPACT Enables more powerful AI applications to run directly on mobile devices, reducing reliance on cloud processing.

RANK_REASON This is a model compression and optimization announcement, not a new frontier model release from a major lab.

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AI-generated summary · Google Gemini · from 5 sources. How we write summaries →

PrismML compresses 27B AI model to fit on smartphones

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Tool
This is a model compression and optimization announcement, not a new frontier model release from a major lab.
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5 independent sources
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model release, product
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High
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46 days old
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COVERAGE [5]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    Bonsai 27B is a big step for local AI: 27B-class multimodal capability in a phone-class footprint.

    Bonsai 27B is a big step for local AI: 27B-class multimodal capability in a phone-class footprint. Congrats to @PrismML on the launch. Try Ternary Bonsai 27B on Together AI: https://t.co/yeyvZcaATO

  2. The Decoder TIER_1 English(EN) · Jonathan Kemper ·

    Bonsai 27B is a full open reasoning model that fits on an iPhone

    <p><img alt="" class="attachment-full size-full wp-post-image" height="1152" src="https://the-decoder.com/wp-content/uploads/2026/07/prsim_ml_demo.png" style="height: auto; margin-bottom: 10px;" width="2048" /></p> <p> PrismML has compressed a 27-billion-parameter AI model to und…

  3. r/LocalLLaMA TIER_1 English(EN) · /u/ElmBark ·

    Bonsai 27B runs locally on an iPhone - a 27B model in 3.9GB

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1uyz9n2/bonsai_27b_runs_locally_on_an_iphone_a_27b_model/"> <img alt="Bonsai 27B runs locally on an iPhone - a 27B model in 3.9GB" src="https://external-preview.redd.it/Z29wbnZ0ZjFoc2RoMYNmW7XUoGPceguvH8OPb5Eb…

  4. dev.to — LLM tag TIER_1 English(EN) · Simon Paxton ·

    Bonsai 27B Claims a 3.9 GB Footprint and 11 Tokens Per Second on an iPhone 17 Pro-class Device

    <p><a href="https://prismml.com/news/prismml-releases-bonsai-27b" rel="noopener noreferrer">Bonsai 27B</a> <strong>can plausibly run on a phone under PrismML’s stated conditions</strong>, because PrismML says its <a href="https://huggingface.co/prism-ml/Bonsai-27B-mlx-1bit" rel="…

  5. r/LocalLLaMA TIER_1 English(EN) · /u/yogthos ·

    Bonsai 27B: The First 27B-Class Model to Run on a Phone

    &#32; submitted by &#32; <a href="https://www.reddit.com/user/yogthos"> /u/yogthos </a> <br /> <span><a href="https://prismml.com/news/bonsai-27b">[link]</a></span> &#32; <span><a href="https://www.reddit.com/r/LocalLLaMA/comments/1uwhukq/bonsai_27b_the_first_27bclass_model_to_ru…

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