Executorch
PulseAugur coverage of Executorch — every cluster mentioning Executorch across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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Meta releases open-source agentic model Muse Glimmer for local use
Meta has released Muse Glimmer, an open-source agentic model designed for local execution on personal computers and Macs. This 30-billion parameter model, licensed under Apache 2.0, is optimized for "always-on" agent wo…
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Meta releases Muse Glimmer, a 30B open-weight model for local AI agents · 8 sources tracked
Meta AI has released Muse Glimmer, a 30-billion-parameter open-weight model designed for local agentic workflows. This model, distilled from Muse Spark, is optimized to run on consumer GPUs with a memory footprint under…
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Meta releases Muse Glimmer, a 30B open-weight model for local AI agents
Meta has released Muse Glimmer, a 30-billion-parameter open-weight model optimized for local agentic workflows. This model is designed to run on consumer hardware, such as a single GPU, making it accessible for personal…
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Qwen3 LLM runs up to 4.52x faster on Apple Silicon with ExecuTorch MLX delegate
A recent technical exploration demonstrates significant speed improvements when running the Qwen3-0.6B language model on Apple Silicon using ExecuTorch's experimental MLX delegate. The MLX delegate, which leverages Appl…
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New research enables faster, more efficient LLMs on mobile devices
Researchers have developed new methods for deploying large language models on mobile devices, focusing on reducing latency and memory usage. One approach, MobileLLM-Flash, uses hardware-in-the-loop architecture search a…