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, 06:00 UTC
[Fix] bump mistral common to support magistral (#19533)
Signed-off-by: 汪志鹏 <wangzhipeng628@gmail.com>
汪志鹏 committed
Jun 13, 2025 at 13:28 UTC
ace5cdaff0cf021ff02ddbe39ea814f2ed2e56b7
3 files changed
+3
-3
requirements/common.txt
+1
-1
@@ -31,7 +31,7 @@ pyzmq >= 25.0.0
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msgspec
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gguf >= 0.13.0
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importlib_metadata; python_version < '3.10'
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-mistral_common[opencv] >= 1.5.4
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+mistral_common[opencv] >= 1.6.2
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opencv-python-headless >= 4.11.0 # required for video IO
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pyyaml
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six>=1.16.0; python_version > '3.11' # transitive dependency of pandas that needs to be the latest version for python 3.12
requirements/test.in
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@@ -28,7 +28,7 @@ torchvision==0.22.0
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transformers_stream_generator # required for qwen-vl test
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mamba_ssm # required for plamo2 test
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matplotlib # required for qwen-vl test
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-mistral_common[opencv] >= 1.5.4 # required for pixtral test
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+mistral_common[opencv] >= 1.6.2 # required for pixtral test
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num2words # required for smolvlm test
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opencv-python-headless >= 4.11.0 # required for video test
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datamodel_code_generator # required for minicpm3 test
requirements/test.txt
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@@ -303,7 +303,7 @@ mbstrdecoder==1.1.3
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# typepy
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mdurl==0.1.2
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# via markdown-it-py
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-mistral-common==1.5.4
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+mistral-common==1.6.2
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# via -r requirements/test.in
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more-itertools==10.5.0
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# via lm-eval