20 сент. 2023 г. · Prerequisites, Expected Behavior, ggml core lib to use flash attention (v1 or v2) at least for nvidia runtime.

Use flash attention. last_n_tokens_size ( int , default: 64 ) –. Maximum number of tokens to keep in the last_n_tokens deque. lora_base ( Optional[str] ... High Level API · Llama · Low Level API · llama_cpp

I've noticed a significant degradation of output quality when flash attention is enabled. This was noticed on Llama3-8B and Falcon-7B base models, both running ...

30 апр. 2024 г. · You need a newer Nvidia GPU, older GPUs don't support flash attention. Upvote

llama-cpp-python offers an OpenAI API compatible web server. This web server can be used to serve local models and easily connect them to existing clients.

24 окт. 2023 г. · The updated inference stack allows for efficient inference. To run the model locally, we strongly recommend to install Flash Attention V2, which ...

3 мая 2024 г. · llama.cpp just merged support for Flash Attention , which is a huge win for local LLMs! https://lnkd.in/ga2t5R79 What does this mean?

14 июн. 2024 г. · exl2 is overall much faster than lcpp. · Flash Attention (FA) speeds up prompt processing, especially if you don't offload the KV cache to VRAM.

FlashAttention's algorithmic improvements is mostly just splitting/combining the softmax part of attention, and is itself not totally novel.

Initial Flash-Attention support: https://github.com/ggerganov/llama.cpp/pull ... Python: abetlen/llama-cpp-python; Go: go-skynet/go-llama.cpp; Node.js ...