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NobodyWho

Run text, vision and speech models locally on any device

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From the NobodyWho blog

Published by NobodyWho, not by us. Every card opens the original post.

Jev in 25 lines of Python

Everyone is talking about Jev - here it is in 25 lines of Python.

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LLM inference vs. the OOM killer

Mobile memory warnings and handling them in Rust.

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NobodyWho vs Cactus: On-Device Inference Engine Comparison

NobodyWho vs Cactus compared on engine design, model format, hardware, platforms, cloud, and licensing.

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Announcing Expo support for NobodyWho

NobodyWho now works with Expo — run on-device LLMs in your Expo apps.

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Announcing Voice Activity Detection

Detect when someone starts and stops speaking, on-device.

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Use fewer threads for CPU inference

How many worker threads should you use for CPU inference? Not all of them.

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Announcing Speech To Text & Text To Speech

STT & TTS in NobodyWho — easily generate and transcribe audio!

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NobodyWho Chat app

NobodyWho Chat app is now available on mobile!

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Apple Watch & Vision Pro apps

NobodyWho Swift bindings are now available! This article briefly introduces some of the interesting things we dealt with during development.

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Announcing Kotlin bindings for NobodyWho

NobodyWho now ships Kotlin bindings — run LLMs fully on-device in your Android and JVM apps, no cloud or server required.

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LLM, give me a JSON. Make no mistakes.

So how exactly do you make your LLM output a JSON? What happens under the hood? And how do you make it reliable and fast? Diving into constrained sampling.

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Swift Bindings Release

NobodyWho Swift bindings are now available! This article briefly introduces some of the interesting things we dealt with during development.

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