The lms ls command displays a list of all models downloaded to your machine, including their size, architecture, and parameters.

Parameters

--llm (optional) : flag

Show only LLMs. When not set, all models are shown

--embedding (optional) : flag

Show only embedding models

--json (optional) : flag

Output the list in JSON format

--detailed (optional) : flag

Show detailed information about each model

List all models

Show all downloaded models:

lms ls

Example output:

You have 47 models, taking up 160.78 GB of disk space.

LLMs (Large Language Models)                       PARAMS      ARCHITECTURE           SIZE
lmstudio-community/meta-llama-3.1-8b-instruct          8B         Llama            4.92 GB
hugging-quants/llama-3.2-1b-instruct                   1B         Llama            1.32 GB
mistral-7b-instruct-v0.3                                         Mistral           4.08 GB
zeta                                                   7B         Qwen2            4.09 GB

... (abbreviated in this example) ...

Embedding Models                                   PARAMS      ARCHITECTURE           SIZE
text-embedding-nomic-embed-text-v1.5@q4_k_m                     Nomic BERT        84.11 MB
text-embedding-bge-small-en-v1.5                     33M           BERT           24.81 MB

Filter by model type

List only LLM models:

lms ls --llm

List only embedding models:

lms ls --embedding

Additional output formats

Get detailed information about models:

lms ls --detailed

Output in JSON format:

lms ls --json

Operate on a remote LM Studio instance

lms ls supports the --host flag to connect to a remote LM Studio instance:

lms ls --host <host>

For this to work, the remote LM Studio instance must be running and accessible from your local machine, e.g. be accessible on the same subnet.