mirror of https://git.datalinker.icu/vllm-project/vllm.git synced 2025-12-10 01:15:26 +08:00

History

Add option to restrict media domains (#25783 )

Signed-off-by: Chenheli Hua <huachenheli@outlook.com>
Signed-off-by: Russell Bryant <rbryant@redhat.com>
Co-authored-by: Chenheli Hua <huachenheli@outlook.com>

2025-09-27 01:23:52 +00:00

faq.md

Stop using title frontmatter and fix doc that can only be reached by search (#20623 )

2025-07-08 03:27:40 -07:00

metrics.md

Remove unnecessary explicit title anchors and use relative links instead (#20620 )

2025-07-08 02:49:13 -07:00

README.md

[Docs] Enable fail_on_warning for the docs build in CI (#25580 )

2025-09-24 19:30:33 +00:00

reproducibility.md

[Doc] Update reproducibility doc and example (#18741 )

2025-05-27 07:03:13 +00:00

security.md

Add option to restrict media domains (#25783 )

2025-09-27 01:23:52 +00:00

troubleshooting.md

[distributed] update known issues (#24624 )

2025-09-11 11:09:38 +08:00

usage_stats.md

[Doc]: fix typos in .md files (including those of #23751 ) (#23825 )

2025-08-28 04:38:19 -07:00

v1_guide.md

Remove V0 Encoder-Decoder Support (#24907 )

2025-09-15 21:17:14 -07:00

README.md

Using vLLM

First, vLLM must be installed for your chosen device in either a Python or Docker environment.

Then, vLLM supports the following usage patterns:

Inference and Serving: Run a single instance of a model.
Deployment: Scale up model instances for production.
Training: Train or fine-tune a model.