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Model Compression

20 summarised stories about Model Compression, each linking back to the original source. Browse all topics →

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Tuesday, 14 July 2026

[AINews] not much happened today

Latent Space 1 month ago 20 4 sources

Superapp usage grew by 1 million users since the previous report, while OpenAI's Codex and ChatGPT Work products saw usage jump 2.5x in a week. PrismML released Bonsai 27B, a compressed model that runs on consumer devices at 3.9 GB and 1.125 effective bits while supporting multimodal and agentic workflows. The shift toward local inference and compressed models is making edge deployment viable for serious agent applications, while industry focus is moving from raw model quality to harness quality and observability as primary differentiators.

PrismML Releases Bonsai 27B: 1-bit and Ternary Builds of Qwen3.6-27B That Run on Laptops and Phones

MarkTechPost 1 month ago 15

PrismML released Bonsai 27B, a quantized version of Qwen3.6-27B using 1-bit and ternary weight compression. The ternary variant achieves 5.9GB model size while retaining 94.6% of FP16 baseline performance, and the 1-bit variant reaches 3.9GB with 89.5% retention. These models enable running 27B-class quality inference on laptops and phones with practical memory constraints and improved throughput on resource-limited devices.

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