lmstudio: 0.3.5 -> 0.3.6
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@@ -11,8 +11,8 @@ stdenv.mkDerivation {
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inherit meta pname version;
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src = fetchurl {
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url = "https://releases.lmstudio.ai/darwin/arm64/${version}/${rev}/LM-Studio-${version}-arm64.dmg";
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hash = "sha256-XPaXIWd/Xl3i5dS+5WY9OEIB9PNWe5y9C1MwoZMDht0=";
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url = "https://installers.lmstudio.ai/darwin/arm64/${version}-${rev}/LM-Studio-${version}-${rev}-arm64.dmg";
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hash = "sha256-x4IRT1PjBz9eafmwNRyLVq+4/Rkptz6RVWDFdRrGnGY=";
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};
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nativeBuildInputs = [ undmg ];
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@@ -25,4 +25,26 @@ stdenv.mkDerivation {
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cp -r *.app $out/Applications
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runHook postInstall
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'';
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# LM Studio ships Scripts inside the App Bundle, which may be messed up by standard fixups
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dontFixup = true;
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# undmg doesn't support APFS and 7zz does break the xattr. Took that approach from https://github.com/NixOS/nixpkgs/blob/a3c6ed7ad2649c1a55ffd94f7747e3176053b833/pkgs/by-name/in/insomnia/package.nix#L52
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unpackCmd = ''
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echo "Creating temp directory"
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mnt=$(TMPDIR=/tmp mktemp -d -t nix-XXXXXXXXXX)
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function finish {
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echo "Ejecting temp directory"
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/usr/bin/hdiutil detach $mnt -force
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rm -rf $mnt
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}
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# Detach volume when receiving SIG "0"
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trap finish EXIT
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# Mount DMG file
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echo "Mounting DMG file into \"$mnt\""
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/usr/bin/hdiutil attach -nobrowse -mountpoint $mnt $curSrc
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# Copy content to local dir for later use
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echo 'Copying extracted content into "sourceRoot"'
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cp -a $mnt/LM\ Studio.app $PWD/
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'';
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}
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@@ -8,8 +8,8 @@
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}:
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let
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src = fetchurl {
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url = "https://releases.lmstudio.ai/linux/x86/${version}/${rev}/LM_Studio-${version}.AppImage";
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hash = "sha256-ylUS6WrGavNW1WbroBnCLeeMBeBX41ontwKeQLug6/s=";
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url = "https://installers.lmstudio.ai/linux/x64/${version}-${rev}/LM-Studio-${version}-${rev}-x64.AppImage";
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hash = "sha256-laROBUr1HLoaQT6rYhhhulR1KZuKczNomKbrXXkDANY=";
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};
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appimageContents = appimageTools.extractType2 { inherit pname version src; };
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@@ -6,8 +6,8 @@
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}:
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let
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pname = "lmstudio";
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version = "0.3.5";
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rev = "2";
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version = "0.3.6";
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rev = "8";
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meta = {
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description = "LM Studio is an easy to use desktop app for experimenting with local and open-source Large Language Models (LLMs)";
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homepage = "https://lmstudio.ai/";
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