on-device

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#on-device

AI Rep Counter On-Device - Workout Tracker & Form Coach

Reddit r/AI_Agents · 2026-05-15

AI Rep Counter is an on-device iOS app that uses AI to count reps and analyze workout form via the iPhone camera, offering privacy modes, workout metrics, and widgets.

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#on-device

@PyTorch: Big congrats to the ExecuTorch team. Their paper just won the Best Industry Paper Award at @MLSysConf 2026. ExecuTorch …

X AI KOLs Following · 2026-05-15 Cached

ExecuTorch, PyTorch's on-device AI deployment framework, won the Best Industry Paper Award at MLSysConf 2026. The paper introduces a unified solution for running models on diverse hardware, from microcontrollers to SoCs.

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#on-device

@FeitengLi: A 99M parameter TTS runs on CPU, faster than a 2B model on A100. Supertone's newly open-sourced supertonic-3 with ONNX Runtime, fully local, can run in browser, on phone, and even on Raspberry Pi.

X AI KOLs Timeline · 2026-05-15 Cached

Supertone released Supertonic 3, an open-source TTS model with 99M parameters that runs faster on CPU than a 2B model on A100, supporting 31 languages and ONNX Runtime for fully local inference.

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#on-device

@akshay_pachaar: this TTS model generates speech 167x faster than you can hear it. Supertonic is an on-device TTS engine that runs via O…

X AI KOLs Following · 2026-05-15 Cached

Supertonic is a new open-source TTS engine that runs on-device via ONNX, supporting 31 languages and outperforming ElevenLabs in speed, even on a Raspberry Pi without a GPU.

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#on-device

Codex on your phone

Reddit r/singularity · 2026-05-14

An implementation or adaptation of OpenAI's Codex model for mobile devices, enabling code generation and assistance on smartphones.

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#on-device

Got local Qwen 3.5/3.6 generating meeting summaries entirely offline on an M4 Max. Demo with Wi-Fi off. This is the future.

Reddit r/LocalLLaMA · 2026-05-14

The Hedy meeting app now supports fully offline AI summaries using local models like Qwen and Gemma via llama.cpp, with options for bring-your-own-model and hardware-aware model selection. The update enables Wi-Fi-free operation on Apple Silicon and Windows GPUs, though cloud still offers higher speed and quality.

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#on-device

@GoJun315: Open-source TTS that runs locally and beats ElevenLabs. Supertonic, a speech synthesis model that runs entirely on-device, no internet required, zero API costs. - Only 99M parameters, 167x faster than real-time on M4 Pro, runs on Raspberry Pi - Supports 31 languages, covering…

X AI KOLs Timeline · 2026-05-14 Cached

Supertonic is a lightning-fast, on-device TTS model with 99M parameters, supporting 31 languages. It runs locally with no API costs, outperforms cloud TTS on accuracy for numbers, phone numbers, and technical terms, and can be installed via Python, Node.js, Rust, Go, and more.

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#on-device

@googlegemma: Gemma 4 up to 3x faster, directly in your phone! Check out the difference Speculative Decoding makes! Multi-Token Predi…

X AI KOLs Timeline · 2026-05-07 Cached

Google's Gemma 4 achieves up to 3x faster inference speeds through speculative decoding and multi-token prediction, enabling efficient on-device deployment.

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#on-device

BlankOut

Product Hunt · 2026-04-21

BlankOut is a tool that redacts sensitive content in documents on-device before sharing with AI services.

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#on-device

@rohanpaul_ai: Gemma 4 (specifically its edge-optimized E2B and E4B variants) running fully offline on an iPhone via apps like Locally…

X AI KOLs Following · 2026-04-19 Cached

Google’s Gemma 4 E2B/E4B quantized variants now run fully offline on iPhone via apps like Locally AI, leveraging the Apple Neural Engine for on-device inference.

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#on-device

Announcing Gemma 3n preview: Powerful, efficient, mobile-first AI

Google DeepMind Blog · 2025-05-20 Cached

Google announces Gemma 3n preview, a mobile-first open AI model optimized for on-device inference on phones, tablets, and laptops. Built on a new architecture developed with hardware partners like Qualcomm and MediaTek, Gemma 3n uses innovations like Per-Layer Embeddings to achieve fast performance with minimal memory footprint (2-3GB), while supporting multimodal capabilities.

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#on-device

altic-dev/FluidVoice

GitHub Trending (daily) · 3d ago Cached

FluidVoice is an open-source voice-to-text dictation app for macOS featuring on-device AI enhancement via a separate private local runtime called Fluid Intelligence. Version 1.6.0 brings faster Parakeet support, improved theming, and a refreshed onboarding experience.

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