docker compose run dalai npx dalai alpaca install 7B not working !

[elaarabi]

I am having a hard time installing using docker. Docker version 20.10.18 under Ubuntu 20.04. Any solutions please ?

`mkdir /root/dalai { method: 'install', callparams: [ '7B' ] } 2 [Error: EXDEV: cross-device link not permitted, rename '/root/dalai/alpaca/models' -> '/root/dalai/tmp/models'] { errno: -18, code: 'EXDEV', syscall: 'rename', path: '/root/dalai/alpaca/models', dest: '/root/dalai/tmp/models' } 3 [Error: EBUSY: resource busy or locked, rmdir '/root/dalai/alpaca'] { errno: -16, code: 'EBUSY', syscall: 'rmdir', path: '/root/dalai/alpaca' } mkdir /root/dalai/alpaca try fetching /root/dalai/alpaca https://github.com/ItsPi3141/alpaca.cpp [E] Pull MissingNameError: No name was provided for author in the argument or in the .git/config file. at Object.pull (/root/dalai/node_modules/isomorphic-git/index.cjs:11683:24) at async Dalai.add (/root/dalai/node_modules/dalai/index.js:394:7) at async Dalai.install (/root/dalai/node_modules/dalai/index.js:346:5) { caller: 'git.pull', code: 'MissingNameError', data: { role: 'author' } } try cloning /root/dalai/alpaca https://github.com/ItsPi3141/alpaca.cpp next alpaca [AsyncFunction: make] exec: make in /root/dalai/alpaca make exit root@a373257fb6fe:~/dalai/alpaca# make I llama.cpp build info: I UNAME_S: Linux I UNAME_P: unknown I UNAME_M: x86_64 I CFLAGS: -I. -O3 -DNDEBUG -std=c11 -fPIC -pthread -mavx -mavx2 -mfma -mf16c -msse3 I CXXFLAGS: -I. -I./examples -O3 -DNDEBUG -std=c++11 -fPIC -pthread I LDFLAGS: I CC: cc (Debian 8.3.0-6) 8.3.0 I CXX: g++ (Debian 8.3.0-6) 8.3.0

make: Nothing to be done for 'default'. root@a373257fb6fe:~/dalai/alpaca# exit exit 4 [Error: EXDEV: cross-device link not permitted, rename '/root/dalai/tmp/models' -> '/root/dalai/alpaca/models'] {
errno: -18, code: 'EXDEV', syscall: 'rename', path: '/root/dalai/tmp/models', dest: '/root/dalai/alpaca/models' }`

[FrancescaRagazzi]

Same problem in Ubuntu 22.10

[mirek190]

Why you even using it .... this is so obsolete project. ... Go to llama.cpp or koboldccp