BEGIN:VCALENDAR
VERSION:2.0
PRODID:-// SamosaCh.ai - ECPv6.8.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.samosach.ai
X-WR-CALDESC:Events for  SamosaCh.ai
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20250223T143000
DTEND;TZID=UTC:20250223T163000
DTSTAMP:20260726T215009
CREATED:20250204T100808Z
LAST-MODIFIED:20250225T045200Z
UID:9469-1740321000-1740328200@www.samosach.ai
SUMMARY:Large Language Model (LLMs) on Edge Devices
DESCRIPTION: \n\nCompleted Event \n\n\nEvent Details\n\nDescription\nWe are thrilled to invite you to an engaging two-hour session focused on running ML Models and Large Language Models –  (LLMs) on edge devices under low-resource settings. \nThis event will delve into methods and techniques such as pruning\, quantisation\, compression\, and distillation to optimize performance on devices like the Raspberry Pi\, Jetson Nano\, and CPU-only setups. Participants will gain hands-on experience with leading software tools and frameworks\, including HuggingFace\, Ollama\, vLLMs\, llama.cpp\, and lmstudio. Join us for this insightful session to explore the cutting-edge of edge computing and enhance your skills in deploying efficient models in constrained environments. We look forward to seeing you there! 2hrs – talk time \n\n \n\n\nDate & Time\n📅 Date: February 23rd 2025 (Sunday)\n⏰ Time: 2:30 PM – 4:30 PM  \n\n\nLocation\nOJone Building\, 72\, Service Rd\, LRDE Layout\, Doddanekundi\, Bengaluru\,\nKarnataka 560037\, India \nView on Google Maps\n \n\n\n \nSpeakers\n\n\n \nSoma Dhavala\nLinkedIn \n\n\n\nBharat Shetty B\nLinkedIn \n\n\n \nTechnical Focus\n\n\nMethods & Techniques\n✅ Pruning \n✅ Quantization \n✅ Compression \n✅ Distillation \n\n\nTarget Devices\n👉 Raspberry Pi \n👉 Jetson Nano \n👉 CPU-only systems \n\n\nSoftware Tools & Frameworks\n🛠 Hugging Face \n🛠 Ollama \n🛠 vLLMs \n🛠 llama.cpp \n🛠 lmstudio \n\n\nGallery
URL:https://www.samosach.ai/event/large-language-model-llm-on-edge-devices/
CATEGORIES:Completed Event
ATTACH;FMTTYPE=image/jpeg:https://www.samosach.ai/wp-content/uploads/2025/02/quantization-llm-performance-optimization-scaled.jpg
END:VEVENT
END:VCALENDAR