List Downloaded Models

You can iterate through locally available models using the downloaded model listing methods.

The listing results offer .model() and .load_new_instance() methods, which allow the downloaded model reference to be converted in the full SDK handle for a loaded model.

Available Models on the LM Studio Server

import lmstudio as lms

downloaded = lms.list_downloaded_models()
llm_only = lms.list_downloaded_models("llm")
embedding_only = lms.list_downloaded_models("embedding")

for model in downloaded:
    print(model)

This will give you results equivalent to using lms ls in the CLI.

Example output:

DownloadedLlm(model_key='qwen2.5-7b-instruct-1m', display_name='Qwen2.5 7B Instruct 1M', architecture='qwen2', vision=False)
DownloadedEmbeddingModel(model_key='text-embedding-nomic-embed-text-v1.5', display_name='Nomic Embed Text v1.5', architecture='nomic-bert')