diff --git a/runtimes/huggingface/poetry.lock b/runtimes/huggingface/poetry.lock
index 31c205377..029120429 100644
--- a/runtimes/huggingface/poetry.lock
+++ b/runtimes/huggingface/poetry.lock
@@ -1676,7 +1676,7 @@ dev = ["absl-py", "pyink", "pylint (>=2.6.0)", "pytest", "pytest-xdist"]
 
 [[package]]
 name = "mlserver"
-version = "1.5.0.dev1"
+version = "1.6.0.dev2"
 description = "MLServer"
 optional = false
 python-versions = ">=3.9,<3.12"
@@ -2042,6 +2042,16 @@ files = [
 [package.dependencies]
 nvidia-nvjitlink-cu12 = "*"
 
+[[package]]
+name = "nvidia-nccl-cu12"
+version = "2.19.3"
+description = "NVIDIA Collective Communication Library (NCCL) Runtime"
+optional = false
+python-versions = ">=3"
+files = [
+    {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"},
+]
+
 [[package]]
 name = "nvidia-nccl-cu12"
 version = "2.20.5"
@@ -3859,31 +3869,89 @@ files = [
 
 [[package]]
 name = "torch"
-version = "2.3.0"
+version = "2.2.2"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+    {file = "torch-2.2.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:15dffa4cc3261fa73d02f0ed25f5fa49ecc9e12bf1ae0a4c1e7a88bbfaad9030"},
+    {file = "torch-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:11e8fe261233aeabd67696d6b993eeb0896faa175c6b41b9a6c9f0334bdad1c5"},
+    {file = "torch-2.2.2-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:b2e2200b245bd9f263a0d41b6a2dab69c4aca635a01b30cca78064b0ef5b109e"},
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+    {file = "torch-2.2.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:32827fa1fbe5da8851686256b4cd94cc7b11be962862c2293811c94eea9457bf"},
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+[package.dependencies]
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+networkx = "*"
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+nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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+nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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+nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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+triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+typing-extensions = ">=4.8.0"
+
+[package.extras]
+opt-einsum = ["opt-einsum (>=3.3)"]
+optree = ["optree (>=0.9.1)"]
+
+[[package]]
+name = "torch"
+version = "2.3.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
@@ -3904,7 +3972,7 @@ nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"
 nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+triton = {version = "2.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
@@ -4003,17 +4071,40 @@ vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
 name = "triton"
-version = "2.3.0"
+version = "2.2.0"
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+
+[package.extras]
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+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
+tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
+
+[[package]]
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 description = "A language and compiler for custom Deep Learning operations"
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 python-versions = "*"
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+    {file = "triton-2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63381e35ded3304704ea867ffde3b7cfc42c16a55b3062d41e017ef510433d66"},
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 ]
 
 [package.dependencies]
@@ -4574,4 +4665,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "5093e74c6170ad9df9d1f0219b92318222cf2f68096e1d31dcce39430da8002f"
+content-hash = "8df10acd6677b595d7338a9d52feeeb57fbd6476b1fbf5bf5116e5eef70306e9"
diff --git a/runtimes/huggingface/pyproject.toml b/runtimes/huggingface/pyproject.toml
index 3a46088b7..914bda6b4 100644
--- a/runtimes/huggingface/pyproject.toml
+++ b/runtimes/huggingface/pyproject.toml
@@ -17,7 +17,12 @@ pydantic = "2.7.1"
 
 [tool.poetry.group.dev.dependencies]
 mlserver = {path = "../..", develop = true}
-torch = "2.3.0"
+# macOS x86 deprecated
+# see: https://github.com/pytorch/pytorch/issues/114602
+torch = [
+    {markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", version = "<2.3.0"},
+    {markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'", version = "<2.4.0"}
+]
 transformers = ">=4.30,<5.0"
 tensorflow = ">=2.12,<2.17"