gador/nixpkgs
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

python3Packages.vllm: 0.11.2 -> 0.12.0

Browse Source 
Diff: https://github.com/vllm-project/vllm/compare/v0.11.2...v0.12.0

Changelog: https://github.com/vllm-project/vllm/releases/tag/v0.12.0
This commit is contained in:
Gaetan Lepage
2025-12-29 15:40:08 +00:00
parent e576833e6d
commit 19308b6530
2 changed files with 10 additions and 11 deletions
Download Patch File Download Diff File Expand all files Collapse all files
pkgs/development/python-modules/vllm/0005-drop-intel-reqs.patch
+6 -7
View File
@@ -1,14 +1,13 @@
diff --git a/requirements/cpu.txt b/requirements/cpu.txt
index d11787df4..71575d707 100644
index 21571be47..e91b378e2 100644
--- a/requirements/cpu.txt
+++ b/requirements/cpu.txt
@@ -20,9 +20,6 @@ torchvision; platform_machine != "ppc64le" and platform_machine != "s390x"
torchvision==0.23.0; platform_machine == "ppc64le"
datasets # for benchmark scripts
@@ -14,8 +14,5 @@ torchaudio; platform_machine != "s390x"
# required for the image processor of phi3v, this must be updated alongside torch
torchvision; platform_machine != "s390x"
-# Intel Extension for PyTorch, only for x86_64 CPUs
-intel-openmp==2024.2.1; platform_machine == "x86_64"
-intel_extension_for_pytorch==2.8.0; platform_machine == "x86_64"
triton==3.2.0; platform_machine == "x86_64" # Triton is required for torch 2.6+cpu, as it is imported in torch.compile.
-
# Use this to gather CPU info and optimize based on ARM Neoverse cores
py-cpuinfo; platform_machine == "aarch64"
pkgs/development/python-modules/vllm/default.nix
+4 -4
View File
@@ -175,8 +175,8 @@ let
name = "flash-attention-source";
owner = "vllm-project";
repo = "flash-attention";
rev = "58e0626a692f09241182582659e3bf8f16472659";
hash = "sha256-ewdZd7LuBKBV0y3AaGRWISJzjg6cu59D2OtgqoDjrbM=";
rev = "86f8f157cf82aa2342743752b97788922dd7de43";
hash = "sha256-+h43jMte/29kraNtPiloSQFfCay4W3NNIlzvs47ygyM=";
};
patches = [
@@ -304,7 +304,7 @@ in
buildPythonPackage rec {
pname = "vllm";
version = "0.11.2";
version = "0.12.0";
pyproject = true;
stdenv = torch.stdenv;
@@ -313,7 +313,7 @@ buildPythonPackage rec {
owner = "vllm-project";
repo = "vllm";
tag = "v${version}";
hash = "sha256-DoSlkFmR3KKEtfSfdRB++0CZeeXgxmM3zZjONlxbe8U=";
hash = "sha256-ioAgZZbMv99UudaHtb3KQFAdjJv9GqeNDXDAqQOIMN8=";
};
patches = [