LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
LMDeploy is a toolkit for compressing, quantizing and serving LLMs with high request throughput via its TurboMind engine.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeLMDeploy is a toolkit for compressing, deploying, and serving LLMs.
lmdeploy has 8k stars on GitHub. It has been forked 734 times. lmdeploy is written mainly in Python. It has been in active development since 2023. lmdeploy is available under the Apache-2.0 license. Its main topics are codellama, cuda-kernels, deepspeed, fastertransformer.
Read the full guideLMDeploy is a toolkit for compressing, deploying, and serving LLMs.
lmdeploy is an open-source project. It is released under the Apache-2.0 license.
Yes. lmdeploy is free and open source — you can use, modify and self-host it.
lmdeploy is available under the Apache-2.0 license.
lmdeploy is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/internlm-lmdeploy.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.