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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 14, 05:30 UTC

[Quantization] Bump Compressed Tensors Version (#23202)

Signed-off-by: Kyle Sayers <kylesayrs@gmail.com> Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com> Co-authored-by: Michael Goin <mgoin64@gmail.com>

Kyle Sayers committed Aug 19, 2025 at 20:39 UTC c32e6ad1f63631fd8033f0cca3a35d5e48ccfc7f
1 file changed +1 -1
requirements/common.txt
+1 -1
@@ -39,7 +39,7 @@ pyyaml
39 six>=1.16.0; python_version > '3.11' # transitive dependency of pandas that needs to be the latest version for python 3.12
40 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
41 einops # Required for Qwen2-VL.
42 -compressed-tensors == 0.10.2 # required for compressed-tensors
42 +compressed-tensors == 0.11.0 # required for compressed-tensors
43 depyf==0.19.0 # required for profiling and debugging with compilation config
44 cloudpickle # allows pickling lambda functions in model_executor/models/registry.py
45 watchfiles # required for http server to monitor the updates of TLS files