4 окт. 2023 г. · cpp, adding batch inference and continuous batching to the server will make it highly competitive with other inference frameworks like vllm or ...

26 авг. 2023 г. · We want to be able to generate multiple sequences sharing the same context (a.k.a. prompt) in parallel. Demonstrated in one of the examples ...

26 мар. 2024 г. · Does anyone got batched inference working with OAI chat completion compatible API? Returns error that it's not supported for me.

26 авг. 2024 г. · Explore the ultimate guide to llama.cpp for efficient LLM inference and applications. Learn setup, usage, and build practical applications ...

17 сент. 2023 г. · So I'm trying to backdoor the problem by routing through docker ubuntu, but while I setup my environment, I was curious if other's have had ...

11 нояб. 2023 г. · Continuous batching is an optimization technique to batch multiple LLM prompts together. I also hope to cover the internals of more advanced ...

15 авг. 2023 г. · The situation becomes a lot more different when you inference at a very high batch size (e.g. ~160+), such as when you're hosting an LLM engine ...

cpp. llama_cpp.Llama. High-level Python wrapper for a llama.cpp model. Source code in llama_cpp ...

6 авг. 2023 г. · cpp is a fantastic framework to run models locally for the single-user case (batch=1). While llama.cpp supports different backends (RPi, CPU, ...

7 авг. 2024 г. · CUDA Graphs are now enabled by default for batch size 1 inference on NVIDIA GPUs in the main branch of llama.cpp. A bar graph showing the ...