Quantization in modern LLMs - Advanced Quantization Techniques for Large Language Models Video Tutorial | LinkedIn Learning, formerly Lynda.com
Quantization in modern LLMs - Advanced Quantization Technique…
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The magic behind LLMs from tokenization all the way to final prediction in under 1 min ✨ I’m obsessed with digging into every detail of LLMs and I found this visualization incredibly helpful for… | Amer H. | 11 comments
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LLM Model Quantization: An Overview
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git.ir
LLMs can take gigabytes of memory to store, which limits what can be run on consumer hardware. But quantization can dramatically compress models, making a wider selection of models available to developers. You can often reduce model size by 4x or more while maintaining reasonable performance. In our new short course Quantization Fundamentals taught by Hugging Face's Younes Belkada and Marc Sun, you'll: - Learn how to quantize nearly any open source model - Use int8 and bfloat16 (Brain float 16)
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