Edge0
PulseAugur coverage of Edge0 — every cluster mentioning Edge0 across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Edge0 releases 0.6B voice cloning TTS model, Audio8-TTS-Realistic
Edge0 has launched Audio8-TTS-Realistic, a 0.6 billion parameter open-weight model for zero-shot voice cloning. This model supports 23 languages and is designed for efficient fine-tuning and serving, outperforming large…
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Efficient 35B model with 3B active parameters gains traction
The open-weight model Edge0/Edge0-35B-A3B-preview, which utilizes only 3 billion active parameters from its 35 billion total, has seen significant adoption. It achieved 27.8k downloads and 3.2k likes within 30 days, dem…
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New engine serves 35B MoE models from SSDs on consumer hardware
Researchers have developed a new inference engine called Edge0 that enables large Mixture-of-Experts (MoE) models to run on consumer hardware by efficiently utilizing Solid State Drives (SSDs). The system employs a "pre…
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Edge0-AI streams 35B MoE models off SSD to fit in 3GB RAM
Edge0-AI has released Edge0, an open-source streaming inference engine designed to run large Mixture-of-Experts (MoE) models on consumer hardware. The engine achieves this by memory-mapping the entire model checkpoint o…
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Edge0 releases 35B MoE LLM for low-memory devices
Edge0 has released a preview of its Edge0-35B-A3B model, a 35 billion parameter sparse Mixture-of-Experts (MoE) large language model designed to run efficiently on devices with limited memory. The model requires under 3…