LLMs Quantization Crash Course for Beginners

Join me in this comprehensive tutorial where I dive deep into the world of quantization techniques for Large Language Models (LLMs). From basic concepts to advanced strategies, I cover everything you need to know to optimize your AI models for efficiency and performance.
In this video, I:
✅ Explain the fundamentals of model quantization and its importance in the field of AI.
✅ Provide detailed code walkthroughs showing how to apply different quantization techniques, including NF4 and dynamic quantization, to popular LLMs.
✅ Explore cutting-edge tools like Auto-GPTQ, ExLlamaV2, and Optimum, demonstrating how they can be used to quantize open-source LLMs efficiently.
✅ Analyze the performance differences before and after quantization, discussing both the computational benefits and the impact on model accuracy.
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GitHub Repo: github.com/AIAnytime/Quantiza...
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#ai #llm #generativeai

[@muhammedajmalg6426]

thanks for sharing

[@PhotoshoppersStop]

Much needed video, Thanks Sonu 🤩🥳

[@AIAnytime]

Thanks for watching

[@JokerJarvis-cy2sw]

Very very thank you Sir ❤❤❤

[@AIAnytime]

Most welcome

[@Aditya_qwertyu]

Are there any books or course that you can suggest for learning langchain

[@AIAnytime]

Books won't be good because this is a fast moving space.... You need to learn from online sources... Documentation. Video. Etc.