LLMs Quantization Crash Course for Beginners
2.1 هزار بار بازدید -
2 ماه پیش
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Join me in this comprehensive
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.
Don't forget to LIKE, COMMENT, and SUBSCRIBE for more tutorials like this. Your support helps me create content that empowers you with the latest in GenAI.
GitHub Repo: https://github.com/AIAnytime/Quantiza...
Join this channel to get access to perks:
@aianytime
To further support the channel, you can contribute via the following methods:
Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW
UPI: sonu1000raw@ybl
#ai #llm #generativeai
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.
Don't forget to LIKE, COMMENT, and SUBSCRIBE for more tutorials like this. Your support helps me create content that empowers you with the latest in GenAI.
GitHub Repo: https://github.com/AIAnytime/Quantiza...
Join this channel to get access to perks:
@aianytime
To further support the channel, you can contribute via the following methods:
Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW
UPI: sonu1000raw@ybl
#ai #llm #generativeai
2 ماه پیش
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