Skip to main content

LLiMa CLI

Use the llima CLI on Modalix to manage precompiled models and do simple runtime testing. It is useful for checking that a model loads, accepts prompts, and produces output before you integrate it with Neat Framework direct APIs or the Neat GenAI server endpoints.

Model Manager

LLiMa includes a model manager through the llima CLI. It lets you search, download, list, remove, and run precompiled models directly from the command line. Models are stored under /media/nvme/llima/models by default. Set LLIMA_MODELS_PATH to use a different models directory.

Browse available models:

modalix:~$ llima search
modalix:~$ llima search qwen

Download a model by name, without the simaai/ organization prefix:

modalix:~$ llima pull Qwen3-VL-4B-Instruct-GPTQ-a16w4

List and remove locally installed models:

modalix:~$ llima list
modalix:~$ llima rm Qwen3-VL-4B-Instruct-GPTQ-a16w4

Running LLiMa

Use llima run as a simple runtime for initial model validation on Modalix.

In CLI mode, chat history is enabled by default. Each prompt and response is kept as context for the next turn until you clear it with clear history.

modalix:~$ llima run <model> [options]
ArgumentDescription
modelModel ID or path (e.g., Qwen3-VL-8B-Instruct-a16w4).
--stt_model_pathPath to the elf files for a Speech-to-Text model (optional).

For all available options, run llima run -h.

Examples

modalix:~$ llima run Qwen3-VL-4B-Instruct-GPTQ-a16w4

Interactive Commands

Once llima run starts in CLI mode, use these commands at the prompt:

CommandDescription
add image <file>Add an image to the current prompt context.
clear imageClear all images.
set system <prompt>Set the system prompt.
clear systemClear the system prompt, chat history, and images.
clear historyClear chat history and images.
print historyPrint chat history.
set audio <file>Set the audio file to transcribe as the query.
set language <lang>Set the language string used for transcription.
set lora <name>Use LoRA weights from a npy_files folder.
unset loraRevert the LoRA model to the baseline model.
quitQuit.
helpPrint available commands.