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Large Language Model (LLMs) on Edge Devices

February 23, 2025 @ 2:30 pm - 4:30 pm

Quantization techniques being explained for improving LLM efficiency
 

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Event Details

Description

We 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.

This 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

Date & Time

📅 Date: February 23rd 2025 (Sunday)
Time: 2:30 PM – 4:30 PM 

Location

OJone Building, 72, Service Rd, LRDE Layout, Doddanekundi, Bengaluru,
Karnataka 560037, India

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Speakers

Soma Dhavala, Speaker at SamosaCh.AI series

Soma Dhavala

LinkedIn

Bharat Shetty B Speaker

Bharat Shetty B

LinkedIn

Technical Focus

Methods & Techniques

✅ Pruning

✅ Quantization

✅ Compression

✅ Distillation

Target Devices

👉 Raspberry Pi

👉 Jetson Nano

👉 CPU-only systems

Software Tools & Frameworks

🛠 Hugging Face

🛠 Ollama

🛠 vLLMs

🛠 llama.cpp

🛠 lmstudio

Gallery

Details

Date:
February 23, 2025
Time:
2:30 pm - 4:30 pm
Event Category:

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