vllm-project · simon-mo · Apr 15, 2026 · Dec 12, 2025 · Dec 17, 2025 · Dec 30, 2025
diff --git a/.buildkite/scripts/hardware_ci/run-cpu-test.sh b/.buildkite/scripts/hardware_ci/run-cpu-test.sh
@@ -16,5 +16,5 @@ echo "--- :docker: Building Docker image"
 docker build --progress plain --tag "$IMAGE_NAME" --target vllm-test -f docker/Dockerfile.cpu .
 
 # Run the image, setting --shm-size=4g for tensor parallel.
-docker run --rm --cpuset-cpus="$CORE_RANGE" --cpuset-mems="$NUMA_NODE" -v ~/.cache/huggingface:/root/.cache/huggingface --privileged=true -e HF_TOKEN -e VLLM_CPU_KVCACHE_SPACE=16 -e VLLM_CPU_CI_ENV=1 -e VLLM_CPU_SIM_MULTI_NUMA=1 --shm-size=4g "$IMAGE_NAME" \
+docker run --rm --cpuset-cpus="$CORE_RANGE" --cpuset-mems="$NUMA_NODE" -v ~/.cache/huggingface:/root/.cache/huggingface --privileged=true -e HF_TOKEN -e VLLM_CPU_KVCACHE_SPACE=16 -e VLLM_CPU_CI_ENV=1 -e VLLM_CPU_SIM_MULTI_NUMA=1 -e VLLM_CPU_ATTN_SPLIT_KV=0 --shm-size=4g "$IMAGE_NAME" \
         timeout "$TIMEOUT_VAL" bash -c "set -euox pipefail; echo \"--- Print packages\"; pip list; echo \"--- Running tests\"; ${TEST_COMMAND}"
diff --git a/.buildkite/test_areas/models_basic.yaml b/.buildkite/test_areas/models_basic.yaml
@@ -4,7 +4,6 @@ depends_on:
 steps:
 - label: Basic Models Tests (Initialization)
   timeout_in_minutes: 45
-  device: h200_18gb
   torch_nightly: true
   source_file_dependencies:
   - vllm/
@@ -73,3 +72,18 @@ steps:
     - python3 examples/offline_inference/vision_language.py --model-type qwen2_5_vl
     # Whisper needs spawn method to avoid deadlock
     - VLLM_WORKER_MULTIPROC_METHOD=spawn python3 examples/offline_inference/audio_language.py --model-type whisper
+
+- label: Transformers Backward Compatibility Models Test
+  working_dir: "/vllm-workspace/"
+  optional: true
+  soft_fail: true
+  commands:
+    - pip install transformers==4.57.5
+    - pytest -v -s tests/models/test_initialization.py
+    - pytest -v -s tests/models/test_transformers.py
+    - pytest -v -s tests/models/multimodal/processing/
+    - pytest -v -s tests/models/multimodal/test_mapping.py
+    - python3 examples/offline_inference/basic/chat.py
+    - python3 examples/offline_inference/vision_language.py --model-type qwen2_5_vl
+    # Whisper needs spawn method to avoid deadlock
+    - VLLM_WORKER_MULTIPROC_METHOD=spawn python3 examples/offline_inference/audio_language.py --model-type whisper
diff --git a/docker/Dockerfile b/docker/Dockerfile
@@ -642,7 +642,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \
     else \
         BITSANDBYTES_VERSION="${BITSANDBYTES_VERSION_X86}"; \
     fi; \
-    uv pip install --system accelerate hf_transfer modelscope \
+    uv pip install --system accelerate modelscope \
         "bitsandbytes>=${BITSANDBYTES_VERSION}" "timm${TIMM_VERSION}" "runai-model-streamer[s3,gcs,azure]${RUNAI_MODEL_STREAMER_VERSION}"
 
 # ============================================================
@@ -756,9 +756,10 @@ RUN --mount=type=cache,target=/root/.cache/uv \
     uv pip install --system -e tests/vllm_test_utils
 
 # enable fast downloads from hf (for testing)
-RUN --mount=type=cache,target=/root/.cache/uv \
-    uv pip install --system hf_transfer
-ENV HF_HUB_ENABLE_HF_TRANSFER 1
+ENV HF_XET_HIGH_PERFORMANCE 1
+
+# increase timeout for hf downloads (for testing)
+ENV HF_HUB_DOWNLOAD_TIMEOUT 60
 
 # Copy in the v1 package for testing (it isn't distributed yet)
 COPY vllm/v1 /usr/local/lib/python${PYTHON_VERSION}/dist-packages/vllm/v1

@@ -197,6 +197,12 @@ ADD ./.buildkite/ ./.buildkite/
 RUN --mount=type=cache,target=/root/.cache/uv \
     uv pip install -e tests/vllm_test_utils
 
+# enable fast downloads from hf (for testing)
+ENV HF_XET_HIGH_PERFORMANCE 1
+
+# increase timeout for hf downloads (for testing)
+ENV HF_HUB_DOWNLOAD_TIMEOUT 60
+
 ######################### RELEASE IMAGE #########################
 FROM base AS vllm-openai
 

diff --git a/docker/Dockerfile.nightly_torch b/docker/Dockerfile.nightly_torch
@@ -272,9 +272,10 @@ RUN --mount=type=cache,target=/root/.cache/uv \
     uv pip install --system -e tests/vllm_test_utils
 
 # enable fast downloads from hf (for testing)
-RUN --mount=type=cache,target=/root/.cache/uv \
-    uv pip install --system hf_transfer
-ENV HF_HUB_ENABLE_HF_TRANSFER 1
+ENV HF_XET_HIGH_PERFORMANCE 1
+
+# increase timeout for hf downloads (for testing)
+ENV HF_HUB_DOWNLOAD_TIMEOUT 60
 
 RUN --mount=type=cache,target=/root/.cache/uv \
     uv pip install --system -r requirements/test/nightly-torch.txt

@@ -365,9 +365,10 @@ RUN cd /vllm-workspace \
     && python3 -m pip install pytest-shard
 
 # enable fast downloads from hf (for testing)
-RUN --mount=type=cache,target=/root/.cache/uv \
-    uv pip install --system hf_transfer
-ENV HF_HUB_ENABLE_HF_TRANSFER=1
+ENV HF_XET_HIGH_PERFORMANCE=1
+
+# increase timeout for hf downloads (for testing)
+ENV HF_HUB_DOWNLOAD_TIMEOUT 60
 
 # install audio decode package `torchcodec` from source (required due to 
 # ROCm and torch version mismatch) for tests with datasets package

@@ -240,7 +240,7 @@ uv pip install vllm==${VLLM_VERSION} \
         # Install dependencies
         pip install --upgrade numba \
             scipy \
-            huggingface-hub[cli,hf_transfer] \
+            huggingface-hub[cli] \
             setuptools_scm
         pip install -r requirements/rocm.txt
 

diff --git a/requirements/common.txt b/requirements/common.txt
@@ -7,7 +7,7 @@ requests >= 2.26.0
 tqdm
 blake3
 py-cpuinfo
-transformers >= 4.56.0, < 5
+transformers >= 4.56.0, != 5.0.*, != 5.1.*, != 5.2.*, != 5.3.*, != 5.4.*, != 5.5.0
 tokenizers >= 0.21.1  # Required for fast incremental detokenization.
 protobuf >= 5.29.6, !=6.30.*, !=6.31.*, !=6.32.*, !=6.33.0.*, !=6.33.1.*, !=6.33.2.*, !=6.33.3.*, !=6.33.4.* # Required by LlamaTokenizer, gRPC. CVE-2026-0994
 fastapi[standard] >= 0.115.0 # Required by FastAPI's form models in the OpenAI API server's audio transcriptions endpoint.
@@ -37,7 +37,7 @@ pyyaml
 six>=1.16.0; python_version > '3.11' # transitive dependency of pandas that needs to be the latest version for python 3.12
 setuptools>=77.0.3,<81.0.0; 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
 einops # Required for Qwen2-VL.
-compressed-tensors == 0.14.0.1 # required for compressed-tensors
+compressed-tensors == 0.15.0.1 # required for compressed-tensors
 depyf==0.20.0 # required for profiling and debugging with compilation config
 cloudpickle # allows pickling lambda functions in model_executor/models/registry.py
 watchfiles # required for http server to monitor the updates of TLS files

diff --git a/requirements/test/cuda.in b/requirements/test/cuda.in
@@ -18,7 +18,7 @@ httpx
 librosa # required for audio tests
 vector_quantize_pytorch # required for minicpmo_26 test
 vocos # required for minicpmo_26 test
-peft>=0.15.0 # required for phi-4-mm test
+peft>=0.18.1 # required for phi-4-mm test
 pqdm
 ray[cgraph,default]>=2.48.0 # Ray Compiled Graph, required by pipeline parallelism tests
 resampy # required for audio tests
@@ -39,8 +39,8 @@ opencv-python-headless >= 4.13.0 # required for video test
 datamodel_code_generator # required for minicpm3 test
 lm-eval[api]>=0.4.11 # required for model evaluation test
 mteb[bm25s]>=2, <3 # required for mteb test
-transformers==4.57.5
-tokenizers==0.22.0
+transformers==5.5.3
+tokenizers==0.22.2
 schemathesis>=3.39.15 # Required for openai schema test.
 # quantization
 bitsandbytes==0.49.2

diff --git a/requirements/test/cuda.txt b/requirements/test/cuda.txt
@@ -4,7 +4,7 @@ absl-py==2.1.0
     # via
     #   rouge-score
     #   tensorboard
-accelerate==1.0.1
+accelerate==1.13.0
     # via peft
 aenum==3.1.16
     # via lightly
@@ -248,7 +248,6 @@ filelock==3.16.1
     #   huggingface-hub
     #   ray
     #   torch
-    #   transformers
     #   virtualenv
 fiona==1.10.1
     # via torchgeo
@@ -331,7 +330,7 @@ h5py==3.13.0
     # via terratorch
 harfile==0.3.0
     # via schemathesis
-hf-xet==1.1.7
+hf-xet==1.4.3
     # via huggingface-hub
 hiredis==3.0.0
     # via tensorizer
@@ -345,9 +344,10 @@ httpx==0.27.2
     # via
     #   -r requirements/test/cuda.in
     #   diffusers
+    #   huggingface-hub
     #   perceptron
     #   schemathesis
-huggingface-hub==0.36.2
+huggingface-hub==1.10.2
     # via
     #   accelerate
     #   datasets
@@ -756,7 +756,7 @@ pathvalidate==3.2.1
     # via pytablewriter
 patsy==1.0.1
     # via statsmodels
-peft==0.16.0
+peft==0.18.1
     # via -r requirements/test/cuda.in
 perceptron==0.1.4
     # via -r requirements/test/cuda.in
@@ -982,7 +982,7 @@ referencing==0.35.1
     # via
     #   jsonschema
     #   jsonschema-specifications
-regex==2024.9.11
+regex==2026.2.28
     # via
     #   diffusers
     #   nltk
@@ -1002,7 +1002,6 @@ requests==2.32.3
     #   google-api-core
     #   google-cloud-storage
     #   gpt-oss
-    #   huggingface-hub
     #   lightly
     #   lm-eval
     #   mistral-common
@@ -1015,7 +1014,6 @@ requests==2.32.3
     #   starlette-testclient
     #   tacoreader
     #   tiktoken
-    #   transformers
     #   wandb
 resampy==0.4.3
     # via -r requirements/test/cuda.in
@@ -1216,7 +1214,7 @@ timm==1.0.17
     #   segmentation-models-pytorch
     #   terratorch
     #   torchgeo
-tokenizers==0.22.0
+tokenizers==0.22.2
     # via
     #   -c requirements/common.txt
     #   -r requirements/test/cuda.in
@@ -1295,7 +1293,7 @@ tqdm==4.67.3
     #   tacoreader
     #   terratorch
     #   transformers
-transformers==4.57.5
+transformers==5.5.3
     # via
     #   -c requirements/common.txt
     #   -r requirements/test/cuda.in
@@ -1317,7 +1315,9 @@ typepy==1.3.2
 typer==0.15.2
     # via
     #   fastsafetensors
+    #   huggingface-hub
     #   perceptron
+    #   transformers
 types-python-dateutil==2.9.0.20241206
     # via arrow
 typeshed-client==2.8.2

diff --git a/requirements/test/nightly-torch.txt b/requirements/test/nightly-torch.txt
@@ -29,8 +29,8 @@ opencv-python-headless >= 4.13.0 # required for video test
 datamodel_code_generator # required for minicpm3 test
 lm-eval[api]>=0.4.11 # required for model evaluation test
 mteb[bm25s]>=2, <3 # required for mteb test
-transformers==4.57.5
-tokenizers==0.22.0
+transformers==5.5.3
+tokenizers==0.22.2
 schemathesis>=3.39.15 # Required for openai schema test.
 # quantization
 bitsandbytes>=0.49.2

diff --git a/requirements/test/rocm.in b/requirements/test/rocm.in
@@ -38,8 +38,8 @@ opencv-python-headless>=4.13.0 # required for video test
 datamodel_code_generator # required for minicpm3 test
 lm-eval[api]>=0.4.11 # required for model evaluation test
 mteb[bm25s]>=2, <3 # required for mteb test
-transformers==4.57.5
-tokenizers==0.22.0
+transformers==5.5.3
+tokenizers==0.22.2
 schemathesis>=3.39.15 # Required for openai schema test
 # quantization
 bitsandbytes==0.49.2
@@ -82,4 +82,3 @@ plotly # required for perf comparison html report
 rapidfuzz
 torchgeo==0.7.0
 multiprocess==0.70.16
-huggingface-hub==0.36.2