LiteRT-LM focuses on running lightweight language models locally from the command line. It is catalogued under Foundation models & chat on PulseGate.

Who is LiteRT-LM for?

LiteRT-LM is an open-source project built for developers and AI researchers.

Does LiteRT-LM have a free plan?

Yes — LiteRT-LM is open source under the Apache-2.0 license and free to use.

What platforms does LiteRT-LM run on?

LiteRT-LM runs on the web and the command line.

Is LiteRT-LM still maintained?

The GitHub repository shows 554 commits in the last 90 days.

What projects are similar to LiteRT-LM?

Similar projects tracked by PulseGate include LiteRT-LM, litert-lm-cli-nightly, and LiteRunner.

LiteRT-LM is developed by google-ai-edge.

How long has LiteRT-LM been around?

LiteRT-LM first shipped in 2025.

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LiteRT-LM

Name: LiteRT-LM
Author: google-ai-edge

PyPIInfrastructure

LiteRT-LM command line tool

Open SourceApache-2.0WebCLI

Visit PyPI

5.6kstars

582forks

3features

2025since

Overview

3 features

LiteRT-LM is a Foundation models & chat project. It focuses on running lightweight language models locally from the command line. LiteRT-LM is an open-source project aimed at developers and AI researchers. LiteRT-LM is open source under the Apache-2.0 license. It runs on the web and the command line.

google-ai-edge builds and maintains LiteRT-LM, and it first shipped in 2025. Development happens publicly on GitHub with 5.6k stars and 554 commits in the last 90 days. Key capabilities include local language model inference, command-line interface, and lightweight models.

Local language model inference
Command-line interface
Lightweight models

Built with & integrations

AI providers

local_oss

Runs on

BrowserCLI

Trust & compliance

License

Apache-2.0

Verified signals

HTTPSOpen SourceFree tierActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed16 Jun · 04:50 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about LiteRT-LM

What is LiteRT-LM?: LiteRT-LM focuses on running lightweight language models locally from the command line. It is catalogued under Foundation models & chat on PulseGate.
Who is LiteRT-LM for?: LiteRT-LM is an open-source project built for developers and AI researchers.
Does LiteRT-LM have a free plan?: Yes — LiteRT-LM is open source under the Apache-2.0 license and free to use.
What platforms does LiteRT-LM run on?: LiteRT-LM runs on the web and the command line.
Is LiteRT-LM still maintained?: The GitHub repository shows 554 commits in the last 90 days.
What projects are similar to LiteRT-LM?: Similar projects tracked by PulseGate include LiteRT-LM, litert-lm-cli-nightly, and LiteRunner.LiteRT-LM litert-lm-cli-nightly LiteRunner
Who makes LiteRT-LM?: LiteRT-LM is developed by google-ai-edge.
How long has LiteRT-LM been around?: LiteRT-LM first shipped in 2025.

At a glance

Platforms: Cli
Languages: English
License: Apache-2.0
Built for: developers and AI researchers
Model: Open source
Solves: Running lightweight language models locally from the command line.

Registered as

PyPI: litert-lm

Developer

google-ai-edge

Community-driven

Open source

Stars: 5,613
Forks: 582
Open issues: 371
Last commit: 16 Jun 2026
Commits 90d: 554
Contributors: 36
Authorship: Community-driven
Default branch: main
Latest release: v0.13.1 · 3 Jun 2026

Index record

Identity confidence: Medium · 77.4
Indexed: 16 Jun 2026
Lifecycle: Alive
Last seen: 16 Jun 2026

Identity audit (12)

Slug: litert-lm-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 16 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Recorded source: taxonomy-pass-a.
Summary from: Taken from the package registry entry.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/litert-lm

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