Who should use LiteRT-LM?

LiteRT-LM is an open-source project built for AI developers and 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 command line. It can also be self-hosted.

Is LiteRT-LM still active?

The GitHub repository shows 526 commits in the last 90 days.

What are alternatives to LiteRT-LM?

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

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 is an open-source command-line tool for running and managing language models locally. It is designed for AI developers and researchers who need efficient, local inference and model management capabilities. Distributed under the Apache-2.0 license.

Open SourceApache-2.0CLISelf-hosted

Visit PyPI

5.7kstars

598forks

1alternative

5features

2025since

Overview

5 features

In the Foundation models & chat space, LiteRT-LM takes a focused approach. Enabling developers to run and manage language models locally and efficiently from the command line. It is built as an open-source project for AI developers and researchers. The project is open source (Apache-2.0). LiteRT-LM is available on the command line, and it can be self-hosted.

Behind LiteRT-LM is Google AI Edge, and it first shipped in 2025. Development happens publicly on GitHub with 5.7k stars and 526 commits in the last 90 days. Key capabilities include command-line interface, language model management, and efficient inference.

Summary written by a language model from the project’s public pages.

Command-line interface
Language model management
Efficient inference
Open source
Local execution

Built with & integrations

Runs on

CLISelf-hosted

Trust & compliance

License

Apache-2.0

Verified signals

HTTPSOpen SourceActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed27 Jun · 16:18 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about LiteRT-LM

What does LiteRT-LM do?: Enabling developers to run and manage language models locally and efficiently from the command line. It is catalogued under Foundation models & chat on PulseGate.
Who should use LiteRT-LM?: LiteRT-LM is an open-source project built for AI developers and 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 command line. It can also be self-hosted.
Is LiteRT-LM still active?: The GitHub repository shows 526 commits in the last 90 days.
What are alternatives to LiteRT-LM?: Similar projects tracked by PulseGate include LiteRT-LM, LMtoolbox, and litert-lm-cli-nightly.LiteRT-LM LMtoolbox litert-lm-cli-nightly
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: AI developers and researchers
Model: Open source
Solves: Enabling developers to run and manage language models locally and efficiently from the command line.

Registered as

PyPI: litert-lm-nightly

Developer

Google AI Edge

Community-driven

Open source

Stars: 5,725
Forks: 598
Open issues: 391
Last commit: 27 Jun 2026
Commits 90d: 526
Contributors: 37
Authorship: Community-driven
Default branch: main
Latest release: v0.13.1 · 3 Jun 2026

Index record

Identity confidence: Low · 64
Indexed: 27 Jun 2026
Lifecycle: Alive
Last seen: 27 Jun 2026

Identity audit (12)

Slug: litert-lm-nightly-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: 27 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: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/litert-lm-nightly

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