- 07 Jun, 2024 1 commit
-
-
Antoni Baum authored
-
- 18 May, 2024 1 commit
-
-
SangBin Cho authored
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
-
- 07 May, 2024 1 commit
-
-
Austin Veselka authored
-
- 27 Apr, 2024 1 commit
-
-
Austin Veselka authored
Co-authored-by:Antoni Baum <antoni.baum@protonmail.com>
-
- 26 Apr, 2024 1 commit
-
-
Cody Yu authored
-
- 25 Apr, 2024 1 commit
-
-
SangBin Cho authored
-
- 12 Apr, 2024 2 commits
- 11 Apr, 2024 3 commits
-
-
Antoni Baum authored
-
Antoni Baum authored
-
SangBin Cho authored
-
- 10 Apr, 2024 1 commit
-
-
youkaichao authored
[WIP][Core][Refactor] move vllm/model_executor/parallel_utils into vllm/distributed and vllm/device_communicators (#3950)
-
- 26 Mar, 2024 1 commit
-
-
Jee Li authored
Co-authored-by:
-
- 25 Mar, 2024 1 commit
-
-
SangBin Cho authored
-
- 22 Mar, 2024 1 commit
-
-
Zhuohan Li authored
-
- 20 Mar, 2024 1 commit
-
-
Roy authored
-
- 11 Mar, 2024 1 commit
-
-
Zhuohan Li authored
-
- 28 Feb, 2024 1 commit
-
-
Liangfu Chen authored
-
- 23 Jan, 2024 1 commit
-
-
Antoni Baum authored
Co-authored-by:
Chen Shen <scv119@gmail.com> Co-authored-by:
Shreyas Krishnaswamy <shrekris@anyscale.com> Co-authored-by:
Avnish Narayan <avnish@anyscale.com>
-
