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Inside BitRun v0.2: How I Engineered a Terminal Cockpit for 1-Bit LLMs with Live Power Telemetry

Community description: If you have ever tried running local language models on your laptop, you know the exact problem: your...

Dev.to | Oct 15, 2026 | Abhishek Khanra

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During inference, your CPU computes tensor operations using simple integer additions. You wanted models larger than 2 billion parameters. In this release, BitRun runs PrismML's 8-billion parameter bonsai-8b entirely in CPU memory using around 2. 08 GB of RAM.

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