News for hackers. Stuff that matters.
Re:Deploy Gemma 7B with TensorRT-LLM and achieve > 500 tok/s by paulluuk on Friday February 23, 2024 @01:43PM (#39484530)
I'll be honest that I've never actually considered tokens per second as something to focus on for my projects, I'm much more concerned with quality of the output then quantity.

Is 500 tok/s on Gemma 7B a gamechanger? or is this more just an advertisement for mystic.ai?

Re:Deploy Gemma 7B with TensorRT-LLM and achieve > 500 tok/s by oscarrovira on Friday February 23, 2024 @01:53PM (#39484667)
There’s a percentage of users that do care about token generation speed as they chain multiple API calls. The performance is all thanks to TensorRT-LLM, Mystic takes care of the engineering of getting a scalable endpoint out of it, i.e, not having to manage your infra.
Re:Deploy Gemma 7B with TensorRT-LLM and achieve > 500 tok/s by v1vek on Friday February 23, 2024 @05:27PM (#39486953)
the latency to serve the end-user esp with chained calls impacts ux quality
Re:Deploy Gemma 7B with TensorRT-LLM and achieve > 500 tok/s by MrBra on Wednesday March 06, 2024 @05:47PM (#39622759)
Improvements in inference speed would also manifest itself on those bigger models that may only partially fit into GPU VRAM. In some cases, the improvement on the GPU side alone, is strong enough to basically turn what you would previously consider a too-slow-to-be-usable higher quality model, into a faster, usable one.