As LLms Boom, The model size of LLM increases according to a scaling law to improve performance, and recent LLMs have billions or tens of billions of parameters or more. Therefore, running LLM requires a high-performance GPU with a large amount of memory, which is extremely costly.

When operating LLM, inference speed is an important indicator of service quality and operational costs.

This video will teach you about VLLM, flash attention, and Torch.compile. You’ll discover how to implement VLLM, Flash Attention, and Torch.compile, and why VLLM is much better than Torch.compile and Flash_Attention.

Full Article can be found Here

FOLLOW ME :

Follow me on Twitter: https://twitter.com/mr_tarik098
Follow me on Linkedin: https://shorturl.at/dnvEX
Follow me on Medium: https://medium.com/@mr.tarik098
More Ideas On My Page: https://quickaitutorial.com/