From c05896b3d514e8f48c81b4b47f65e5cfc7933bb0 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Sun, 4 Oct 2026 13:40:59 +0000
Subject: [PATCH] chore(deps): update torch requirement from >=2.0 to >=2.14.1

Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/ciflow/torchtitan/113258...v2.14.1)

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.14.1
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
---
 pyproject.toml   | 2 +-
 requirements.txt | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 1ad9edb..39dffce 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ readme = "README.md"
 license = {text = "MIT"}
 requires-python = ">=3.10"
 dependencies = [
-    "torch>=2.0",
+    "torch>=2.14.1",
 ]
 
 [project.optional-dependencies]
diff --git a/requirements.txt b/requirements.txt
index 470fed2..e583ba6 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -5,7 +5,7 @@
 # Runtime-only (ONNX deployment, zero torch): pip install onnxruntime tokenizers numpy
 
 # ── Training (GPU) ──
-torch>=2.0                          # 2.14.0+cu126 tested; CPU-only works for inference
+torch>=2.14.1                          # 2.14.0+cu126 tested; CPU-only works for inference
 
 # ── Embedding backbone (frozen, inference-only) ──
 transformers>=4.40                   # 5.18.0 tested; loads bge-m3 / e5-small / any HF model