Home/Compare/lmdeploy vs litgpt

Comparison

lmdeploy vs litgpt

Verdict

Pick lmdeploy when tags unique to lmdeploy: codellama, cuda-kernels, deepspeed, fastertransformer; pick litgpt when pricing: The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models..

Markdown twin · lmdeploy alternatives · litgpt alternatives

GraphCanon updated today

lmdeploy logo

lmdeploy

InternLM/lmdeploy

8.0kpushed Jul 10, 2026
vs
litgpt logo

litgpt

Lightning-AI/litgpt

13kpushed Jul 6, 2026

Trust & integrity

Signallmdeploylitgpt
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (4d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

lmdeploy
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
litgpt
High-performance LLMs with recipes for pretraining, finetuning and deployment

Stars

lmdeploy
8.0k
litgpt
13k

Forks

lmdeploy
703
litgpt
1.5k

Open issues

lmdeploy
597
litgpt
267

Language

lmdeploy
Python
litgpt
Python

Adopt for

lmdeploy
-
litgpt
LitGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment.

Persona

lmdeploy
-
litgpt
-

Runtime

lmdeploy
-
litgpt
-

License

lmdeploy
Apache-2.0
litgpt
LitGPT operates under the open-source Apache-2.0 license, providing permissive terms for use and modification.

Last pushed

lmdeploy
Jul 10, 2026
litgpt
Jul 6, 2026

Categories

lmdeploy
Inference & Serving, LLM Frameworks, Model Training
litgpt
Inference & Serving, LLM Frameworks, Model Training

Trust and health

Days since push

lmdeploy
0d
litgpt
4d

Open issues (now)

lmdeploy
597
litgpt
267

Full report

lmdeploy
Trust report

Shared compatibility

  • Python · lmdeploy: Python runtime · litgpt: Python runtime

Choose lmdeploy if…

  • Tags unique to lmdeploy: codellama, cuda-kernels, deepspeed, fastertransformer.
  • More recently updated (last pushed Jul 10, 2026).

When NOT to use lmdeploy

  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose litgpt if…

  • Pricing: The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models..
  • Requirements: Min 16 GB RAM.
  • Tags unique to litgpt: ai, artificial-intelligence, deep-learning, large-language-models.
  • If you are focusing on a project that requires rapid prototyping or experimentation with over 20 different LLMs to find the best fit for your application.

When NOT to use litgpt

  • If you need a tool specifically optimized for resource-constrained devices, as LitGPT focuses on high-performance LLMs and may require more resources.
  • When your project is strictly limited to only one or two types of specific LLMs; in this case, another specialized framework that caters narrowly might be preferable.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: lmdeploy 8.0k · litgpt 13k (synced Jul 11, 2026).

Common questions

What is the difference between lmdeploy and litgpt?
lmdeploy: LMDeploy is a toolkit for compressing, deploying, and serving LLMs.. litgpt: High-performance LLMs with recipes for pretraining, finetuning and deployment. See the comparison table for live GitHub stats and shared categories.
When should I choose lmdeploy over litgpt?
Choose lmdeploy over litgpt when Tags unique to lmdeploy: codellama, cuda-kernels, deepspeed, fastertransformer; More recently updated (last pushed Jul 10, 2026).
When should I choose litgpt over lmdeploy?
Choose litgpt over lmdeploy when Pricing: The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models.; Requirements: Min 16 GB RAM; Tags unique to litgpt: ai, artificial-intelligence, deep-learning, large-language-models; If you are focusing on a project that requires rapid prototyping or experimentation with over 20 different LLMs to find the best fit for your application.
When should I avoid lmdeploy?
Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid litgpt?
If you need a tool specifically optimized for resource-constrained devices, as LitGPT focuses on high-performance LLMs and may require more resources. When your project is strictly limited to only one or two types of specific LLMs; in this case, another specialized framework that caters narrowly might be preferable.
Is lmdeploy or litgpt more popular on GitHub?
litgpt has more GitHub stars (13,473 vs 7,952). Stars measure visibility, not whether either tool fits your constraints.
Are lmdeploy and litgpt open source?
Yes - both are open-source projects on GitHub (lmdeploy: Apache-2.0, litgpt: Apache-2.0).
Where can I find alternatives to lmdeploy or litgpt?
GraphCanon lists graph-backed alternatives at lmdeploy alternatives and litgpt alternatives (lmdeploy markdown twin, litgpt markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, lmdeploy or litgpt?
lmdeploy: Very active. litgpt: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for lmdeploy and litgpt?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lmdeploy trust report; litgpt trust report.