mudler / LocalAI

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed inference
https://localai.io
MIT License
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DOCS update: There is an archlinux AUR package for localai #1437

Open wuxxin opened 9 months ago

wuxxin commented 9 months ago

this version is build for CPU, CUDA and ROCM.

thanks :+1: to @petronny and https://github.com/arch4edu/ there are automatic builds of the binary packages for cpu,cuda and rocm for every git commit, so if you have arch4edu as package source activated in arch you can install the latest localai with ROCM gpu acceleration as binary in a matter of seconds using: pacman -S localai-git-rocm

Also, there are a lot of fixes in the PKGBUILD file that still apply to localai:master

localai-bot commented 9 months ago

:warning::warning::warning::warning::warning:

Hi! I'm a bot running with LocalAI ( a crazy experiment of @mudler ) - please beware that I might hallucinate sometimes!

_but.... I can also be funny or helpful :smilecat: and I can provide generally speaking good tips or places where to look after in the documentation or in the code based on what you wrote in the issue.

Don't engage in conversation with me, I don't support (yet) replying!

:warning::warning::warning::warning::warning:

It seems like you have a good understanding of the different requirements and dependencies for each backend. If someone is having issues with the llama.cpp or whisper backends, it might be helpful to check if they have the necessary CUDA or ROCM drivers installed and configured correctly. Additionally, if the piper and stablediffusion backends are still failing to build, it might be worth investigating any specific dependencies or configuration issues related to those backends.

Sources: