Commit Graph
6 Commits
Author SHA1 Message Date
6ace6fba2c [V1] AsyncLLM Implementation (#9826)
Signed-off-by: Nick Hill <nickhill@us.ibm.com>
Signed-off-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com>
Signed-off-by: Nick Hill <nhill@redhat.com>
Co-authored-by: Nick Hill <nickhill@us.ibm.com>
Co-authored-by: Varun Sundar Rabindranath <varun@neuralmagic.com>
Co-authored-by: Nick Hill <nhill@redhat.com>
Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com>
2024-11-11 23:05:38 +00:00
Russell Bryant 776dbd74f1 [CI/Build] mypy: Resolve some errors from checking vllm/engine (#9267)
Signed-off-by: Russell Bryant <rbryant@redhat.com>
2024-10-16 22:55:59 +00:00
baaedfdb2d [mypy] Enable following imports for entrypoints (#7248)
Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
Co-authored-by: Fei <dfdfcai4@gmail.com>
2024-08-20 23:28:21 -07:00
Junichi Sato dfba529b40 [Bugfix] Remove the last EOS token unless explicitly specified (#5077) 2024-05-28 17:15:35 -07:00
SangBin Cho 2e9a2227ec [Lora] Support long context lora (#4787)
Currently we need to call rotary embedding kernel for each LoRA, which makes it hard to serve multiple long context length LoRA. Add batched rotary embedding kernel and pipe it through.

It replaces the rotary embedding layer to the one that is aware of multiple cos-sin-cache per scaling factors.

Follow up of https://github.com/vllm-project/vllm/pull/3095/files
2024-05-18 16:05:23 +09:00
Cade Daniel e95cd87959 [Speculative decoding 6/9] Integrate speculative decoding with LLMEngine (#3894) 2024-04-16 13:09:21 -07:00