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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, 06:00 UTC

[Quantization] Bump compressed-tensors version (#19295)

Signed-off-by: Kyle Sayers <kylesayrs@gmail.com>

Kyle Sayers committed Jun 9, 2025 at 17:33 UTC ebb2f383b817bf7ade6a36f4f247944262aaf223
1 file changed +1 -1
requirements/common.txt
+1 -1
@@ -37,7 +37,7 @@ pyyaml
37 six>=1.16.0; python_version > '3.11' # transitive dependency of pandas that needs to be the latest version for python 3.12
38 setuptools>=77.0.3,<80; python_version > '3.11' # Setuptools is used by triton, we need to ensure a modern version is installed for 3.12+ so that it does not try to import distutils, which was removed in 3.12
39 einops # Required for Qwen2-VL.
40 -compressed-tensors == 0.10.0 # required for compressed-tensors
40 +compressed-tensors == 0.10.1 # required for compressed-tensors
41 depyf==0.18.0 # required for profiling and debugging with compilation config
42 cloudpickle # allows pickling lambda functions in model_executor/models/registry.py
43 watchfiles # required for http server to monitor the updates of TLS files