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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 07:15 UTC

[BugFix] Pydantic part 2 (#18911)

Signed-off-by: luka <luka@neuralmagic.com>

Luka Govedič committed May 31, 2025 at 06:39 UTC c55d8046723325e09521a24ac076a8a7e64eaa52
2 files changed +7 -2
requirements/test.in
+1
@@ -51,3 +51,4 @@ numpy
51 runai-model-streamer==0.11.0
52 runai-model-streamer-s3==0.11.0
53 fastsafetensors>=0.1.10
54 +pydantic>=2.10 # 2.9 leads to error on python 3.10
\ No newline at end of file
requirements/test.txt
+6 -2
@@ -480,12 +480,13 @@ pycparser==2.22
480 # via cffi
481 pycryptodomex==3.22.0
482 # via blobfile
483 -pydantic==2.9.2
483 +pydantic==2.11.5
484 # via
485 + # -r requirements/test.in
486 # datamodel-code-generator
487 # mistral-common
488 # mteb
488 -pydantic-core==2.23.4
489 +pydantic-core==2.33.2
490 # via pydantic
491 pygments==2.18.0
492 # via rich
@@ -784,6 +785,9 @@ typing-extensions==4.12.2
785 # pydantic-core
786 # torch
787 # typer
788 + # typing-inspection
789 +typing-inspection==0.4.1
790 + # via pydantic
791 tzdata==2024.2
792 # via pandas
793 uri-template==1.3.0