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jd-opensource

jd-opensource/xllm

C++Apache-2.0active
87Health

A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.

Stars1.3k
Forks211
Open Issues164
Contributors211
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
12
Popularity
25
#deepseek#glm#inference#inference-engine#large-language-models#llm-inference#qwen
View on GitHub ↗Issues (164) ↗Pull Requests ↗

Should you contribute to jd-opensource/xllm?

jd-opensource/xllm has a FoundDev health score of 87/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in C++, so prior C++ experience will shorten ramp-up.

Licensed under Apache-2.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

jd-opensource
jd-opensource/xllm
C++Apache 2.0
87

A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.

active
1.3k211 contributors164 issues
0d ago

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