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, 16:00 UTC
[Build/CI] Update lm-eval to 0.4.8 (#15912)
Signed-off-by: Chris Thi <chris.c.thi@gmail.com>
Chris Thi committed
Apr 2, 2025 at 04:47 UTC
101f1481f9c4e3e108d30ce2f8715ee89288992b
2 files changed
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-2
requirements/test.in
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@@ -29,7 +29,7 @@ matplotlib # required for qwen-vl test
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mistral_common[opencv] >= 1.5.4 # required for pixtral 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
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-lm-eval[api]==0.4.4 # required for model evaluation test
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+lm-eval[api]==0.4.8 # required for model evaluation test
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transformers==4.50.3
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# quantization
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bitsandbytes>=0.45.3
requirements/test.txt
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@@ -219,7 +219,7 @@ librosa==0.10.2.post1
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# via -r requirements/test.in
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llvmlite==0.44.0
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# via numba
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-lm-eval==0.4.4
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+lm-eval==0.4.8
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# via -r requirements/test.in
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lxml==5.3.0
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# via sacrebleu