- 11 Dec, 2024 1 commit
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Aurick Qiao authored
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- 27 Nov, 2024 1 commit
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zhuwenwen authored
add VLLM_OPTEST_MODELS_PATH/OPTEST_MODELS_PATH to load models from local path instead of Hugging Face Hub
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- 15 Nov, 2024 2 commits
- 02 Nov, 2024 1 commit
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youkaichao authored
Signed-off-by:
youkaichao <youkaichao@gmail.com> Co-authored-by:
Nick Hill <nhill@redhat.com>
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- 22 Oct, 2024 1 commit
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Jee Jee Li authored
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- 22 Jul, 2024 1 commit
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Jiaxin Shan authored
Co-authored-by:Antoni Baum <antoni.baum@protonmail.com>
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- 09 Jul, 2024 1 commit
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Swapnil Parekh authored
Co-authored-by:
Swapnil Parekh <swapnilp@ibm.com> Co-authored-by:
Joe G <joseph.granados@h2o.ai> Co-authored-by:
Antoni Baum <antoni.baum@protonmail.com>
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- 15 Jun, 2024 1 commit
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Cyrus Leung authored
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- 07 Jun, 2024 1 commit
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Antoni Baum authored
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- 28 May, 2024 1 commit
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Cyrus Leung authored
Co-authored-by:Roger Wang <ywang@roblox.com>
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- 18 May, 2024 1 commit
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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
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