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[comment]: # (Please add your documentation on top of this line) | ||
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@AUTOGEN_OPTIONS@ |
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{ ... }: | ||
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{ | ||
services.ollama = { | ||
enable = true; | ||
address = "0.0.0.0"; | ||
port = 11434; | ||
loadModels = [ | ||
"llama3.2:3b" | ||
]; | ||
# acceleration = ""; | ||
}; | ||
} |
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{ config | ||
, lib | ||
, pkgs | ||
, ... | ||
}: | ||
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with lib; | ||
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let | ||
cfg = config.services.ollama; | ||
inherit (lib) types; | ||
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ollamaPackage = cfg.package.override { inherit (cfg) acceleration; }; | ||
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loadModels = pkgs.writeShellScriptBin "loadModels" '' | ||
total=${toString (builtins.length cfg.loadModels)} | ||
failed=0 | ||
for model in ${lib.escapeShellArgs cfg.loadModels}; do | ||
'${lib.getExe ollamaPackage}' pull "$model" & | ||
done | ||
for job in $(jobs -p); do | ||
set +e | ||
wait $job | ||
exit_code=$? | ||
set -e | ||
if [ $exit_code != 0 ]; then | ||
failed=$((failed + 1)) | ||
fi | ||
done | ||
if [ $failed != 0 ]; then | ||
echo "error: $failed out of $total attempted model downloads failed" >&2 | ||
exit 1 | ||
fi | ||
''; | ||
in | ||
{ | ||
options = { | ||
services.ollama = { | ||
enable = mkEnableOption "ollama"; | ||
package = lib.mkPackageOption pkgs "ollama" { }; | ||
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address = lib.mkOption { | ||
type = types.str; | ||
default = "127.0.0.1"; | ||
example = "[::]"; | ||
description = '' | ||
The host address which the ollama server HTTP interface listens to. | ||
''; | ||
}; | ||
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port = lib.mkOption { | ||
type = types.port; | ||
default = 11434; | ||
example = 11111; | ||
description = '' | ||
Which port the ollama server listens to. | ||
''; | ||
}; | ||
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loadModels = lib.mkOption { | ||
type = types.listOf types.str; | ||
default = [ ]; | ||
description = '' | ||
Download these models using `ollama pull` as soon as `ollama.service` has started. | ||
This creates a systemd unit `ollama-model-loader.service`. | ||
Search for models of your choice from: https://ollama.com/library | ||
''; | ||
}; | ||
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acceleration = lib.mkOption { | ||
type = types.nullOr ( | ||
types.enum [ | ||
false | ||
"rocm" | ||
"cuda" | ||
] | ||
); | ||
default = null; | ||
example = "rocm"; | ||
description = '' | ||
What interface to use for hardware acceleration. | ||
- `null`: default behavior | ||
- if `nixpkgs.config.rocmSupport` is enabled, uses `"rocm"` | ||
- if `nixpkgs.config.cudaSupport` is enabled, uses `"cuda"` | ||
- otherwise defaults to `false` | ||
- `false`: disable GPU, only use CPU | ||
- `"rocm"`: supported by most modern AMD GPUs | ||
- may require overriding gpu type with `services.ollama.rocmOverrideGfx` | ||
if rocm doesn't detect your AMD gpu | ||
- `"cuda"`: supported by most modern NVIDIA GPUs | ||
''; | ||
}; | ||
}; | ||
}; | ||
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config = lib.mkIf cfg.enable { | ||
assertions = [{ | ||
assertion = cfg.enable; | ||
message = '' | ||
To use Ollama, you have to enable it. (services.ollama.enable = true;) | ||
''; | ||
}]; | ||
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env = { | ||
OLLAMA_HOST = "${cfg.address}:${toString cfg.port}"; | ||
}; | ||
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scripts.loadModels.exec = '' | ||
exec ${loadModels}/bin/loadModels "$@" | ||
''; | ||
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processes.ollama = { | ||
exec = "${lib.getExe ollamaPackage} serve"; | ||
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process-compose = { | ||
readiness_probe = { | ||
exec.command = "${pkgs.curl}/bin/curl -f -k ${cfg.address}:${toString cfg.port}"; | ||
initial_delay_seconds = 2; | ||
period_seconds = 10; | ||
timeout_seconds = 2; | ||
success_threshold = 1; | ||
failure_threshold = 5; | ||
}; | ||
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availability.restart = "on_failure"; | ||
}; | ||
}; | ||
}; | ||
} |
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{ | ||
services.ollama = { | ||
enable = true; | ||
address = "0.0.0.0"; | ||
port = 11434; | ||
loadModels = [ | ||
"llama3.2:3b" | ||
]; | ||
# acceleration = ""; | ||
}; | ||
} |