Bump vllm to 0.11.2, torch to 2.9, transformers to 4.57.1

Signed-off-by: Yi-Fu Wu <[email protected]>

Author: yfw

3rdparty/Automodel-workspace/Automodel

@@ -18,11 +18,11 @@ license = { text = "Apache 2.0" }
 dependencies = [
   "setuptools",
   "ninja",                                                                                                            # for flash-attn parallel build
-  "torch==2.8.0",
+  "torch==2.9.0",
   "triton; sys_platform == 'linux' and (platform_machine == 'x86_64' or platform_machine == 'aarch64')",
   "colored==2.2.3",
   "ray[default]==2.49.2",
-  "transformers>=4.55.4",
+  "transformers>=4.57.1",
   "wandb",
   "numpy",
   "datasets>=4.0.0",
@@ -57,7 +57,7 @@ automodel = [
   # Flash-attn version should be selected to satisfy both TE + vLLM requirements (xformers in particular)
   # https://github.com/NVIDIA/TransformerEngine/blob/v2.3/transformer_engine/pytorch/attention/dot_product_attention/utils.py#L108
   # https://github.com/facebookresearch/xformers/blob/8354497deb2c04c67fbb2e2ad911e86530da0e90/xformers/ops/fmha/flash.py#L76
-  "vllm==0.11.0",      # Remove this once https://github.com/NVIDIA-NeMo/RL/issues/811 resolved
+  "vllm==0.11.2",      # Remove this once https://github.com/NVIDIA-NeMo/RL/issues/811 resolved
   "flash-attn==2.8.1",
   "mamba-ssm",
   "causal-conv1d",
@@ -69,7 +69,7 @@ vllm = [
   # sudo apt-get update
   # sudo apt-get install libibverbs-dev
   "deep_ep @ git+https://github.com/deepseek-ai/DeepEP.git@e3908bf5bd0cc6265bcb225d15cd8c996d4759ef",
-  "vllm==0.11.0",
+  "vllm==0.11.2",
   "num2words>=0.5.14",
   # Remove this once https://github.com/NVIDIA-NeMo/RL/issues/501 resolved
   "flash-attn==2.8.1",
@@ -92,7 +92,7 @@ mcore = [
   "megatron-core",
   "megatron-bridge",
   # Remove this once https://github.com/NVIDIA-NeMo/RL/issues/501 resolved
-  "vllm==0.11.0",
+  "vllm==0.11.2",
   # Flash-attn version should be selected to satisfy both TE + vLLM requirements (xformers in particular)
   # https://github.com/NVIDIA/TransformerEngine/blob/v2.3/transformer_engine/pytorch/attention/dot_product_attention/utils.py#L108
   # https://github.com/facebookresearch/xformers/blob/8354497deb2c04c67fbb2e2ad911e86530da0e90/xformers/ops/fmha/flash.py#L76
@@ -105,7 +105,7 @@ penguin = ["penguin"]
 # This is a default group so that we install these even with bare `uv sync`
 build = [
   # Build requirement for TE
-  "torch==2.8.0",
+  "torch==2.9.0",
   # Build requirement for TE
   "setuptools",
   "packaging",