Merge branch 'main' into fix_spec_gate

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Zheyu Fu 2026-01-09 21:39:33 -08:00 committed by GitHub
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68 changed files with 490 additions and 529 deletions

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@ -263,13 +263,13 @@ files = [
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View File

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View File

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av = "^16.0.1"
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View File

@ -489,13 +489,13 @@ test = ["pytest (>=6)"]
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View File

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View File

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dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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gcs = ["gcsfs"]
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tqdm = ["tqdm"]
[[package]]

View File

@ -489,13 +489,13 @@ test = ["pytest (>=6)"]
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python-versions = ">=3.10"
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@ -771,13 +771,13 @@ zstd = ["zstandard (>=0.18.0)"]
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description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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[package.dependencies]

View File

@ -489,13 +489,13 @@ test = ["pytest (>=6)"]
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[package.dependencies]

View File

@ -489,13 +489,13 @@ test = ["pytest (>=6)"]
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python-versions = ">=3.10"
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[[package]]
name = "huggingface-hub"
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[package.dependencies]

View File

@ -489,13 +489,13 @@ test = ["pytest (>=6)"]
[[package]]
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version = "3.20.3"
description = "A platform independent file lock."
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python-versions = ">=3.10"
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@ -771,13 +771,13 @@ zstd = ["zstandard (>=0.18.0)"]
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name = "huggingface-hub"
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version = "1.3.1"
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[package.dependencies]

View File

@ -590,24 +590,24 @@ pytest = ["pytest (>=7)"]
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dev = ["pre-commit", "ruff (>=0.5)"]
doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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fuse = ["fusepy"]
gcs = ["gcsfs"]
git = ["pygit2"]
@ -635,7 +635,7 @@ smb = ["smbprotocol"]
ssh = ["paramiko"]
test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
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tqdm = ["tqdm"]
[[package]]
@ -1327,21 +1327,21 @@ ssh = ["paramiko"]
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[[package]]
@ -2350,4 +2350,4 @@ dev = ["pytest", "setuptools"]
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python-versions = ">=3.10,<3.13"
content-hash = "1dd6c5ec9bea98c49f5a6401d4af6e4406a1940a1c91823b730838f9bdf18ac9"
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View File

@ -13,7 +13,7 @@ rotary-embedding-torch = "0.5.3"
fabric = "^3.2.2"
contexttimer = "^0.3.3"
ray = "^2.53.0"
protobuf = "^6.33.2"
protobuf = "^6.33.3"
bitsandbytes = ">=0.39.0"
rpyc = "6.0.0"
galore-torch = "^1.0"

View File

@ -489,13 +489,13 @@ test = ["pytest (>=6)"]
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description = "A platform independent file lock."
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python-versions = ">=3.10"
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[[package]]
@ -771,13 +771,13 @@ zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "huggingface-hub"
version = "1.2.4"
version = "1.3.1"
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
optional = false
python-versions = ">=3.9.0"
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View File

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description = "A platform independent file lock."
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View File

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dev = ["pre-commit", "ruff (>=0.5)"]
doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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fuse = ["fusepy"]
gcs = ["gcsfs"]
git = ["pygit2"]
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ssh = ["paramiko"]
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tqdm = ["tqdm"]
[[package]]

View File

@ -489,13 +489,13 @@ test = ["pytest (>=6)"]
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[package.dependencies]

View File

@ -500,13 +500,13 @@ test = ["pytest (>=6)"]
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[package.dependencies]

View File

@ -688,13 +688,13 @@ psutil = ["psutil (>=5.8.0)"]
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View File

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[build-system]

View File

@ -464,13 +464,13 @@ torch = ["torch"]
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[[package]]

View File

@ -591,13 +591,13 @@ test = ["pytest (>=6)"]
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[package.dependencies]

View File

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View File

@ -454,13 +454,13 @@ test = ["pytest (>=6)"]
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View File

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View File

@ -489,13 +489,13 @@ test = ["pytest (>=6)"]
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python-versions = ">=3.10"
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name = "huggingface-hub"
version = "1.2.4"
version = "1.3.1"
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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View File

@ -524,13 +524,13 @@ dev = ["Sphinx (==2.1.0)", "future (==0.17.1)", "numpy (==1.16.4)", "pytest (==4
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[[package]]
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doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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fuse = ["fusepy"]
gcs = ["gcsfs"]
git = ["pygit2"]
@ -708,7 +708,7 @@ smb = ["smbprotocol"]
ssh = ["paramiko"]
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tqdm = ["tqdm"]
[[package]]

View File

@ -552,13 +552,13 @@ test = ["pytest (>=6)"]
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python-versions = ">=3.10"
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View File

@ -1,4 +1,4 @@
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View File

@ -1144,13 +1144,13 @@ standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[stand
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python-versions = ">=3.9"
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{file = "protobuf-6.33.3-py3-none-any.whl", hash = "sha256:c2bf221076b0d463551efa2e1319f08d4cffcc5f0d864614ccd3d0e77a637794"},
{file = "protobuf-6.33.3.tar.gz", hash = "sha256:c8794debeb402963fddff41a595e1f649bcd76616ba56c835645cab4539e810e"},
]
[[package]]
@ -6339,4 +6339,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.13"
content-hash = "2404aeeb4f38fe2d44201d1cfff64be5c94ba66ec6a5ee783643e4d77c7eb905"
content-hash = "f17eedd404a2af6728d14710809ea47ad34bc6672c035073bad9e6c709131a08"

View File

@ -18,7 +18,7 @@ mpi4py = "^4.1.1"
numpy = "<2"
onnx = ">=1.18.0,<1.20.0"
onnx-graphsurgeon = ">=0.5.2"
openai = "^2.14.0"
openai = "^2.15.0"
polygraphy = "^0.49.26"
psutil = "^7.2.1"
nvidia-ml-py = ">=13"
@ -53,7 +53,7 @@ starlette = ">=0.49.1"
uvicorn = "^0.40.0"
setuptools = "<80"
ordered-set = "^4.1.0"
peft = "^0.18.0"
peft = "^0.18.1"
patchelf = "^0.17.2.4"
einops = "^0.8.1"
flashinfer-python = ">=0.3.0,<0.4.0"

View File

@ -146,13 +146,13 @@ files = [
[[package]]
name = "filelock"
version = "3.20.2"
version = "3.20.3"
description = "A platform independent file lock."
optional = false
python-versions = ">=3.10"
files = [
{file = "filelock-3.20.2-py3-none-any.whl", hash = "sha256:fbba7237d6ea277175a32c54bb71ef814a8546d8601269e1bfc388de333974e8"},
{file = "filelock-3.20.2.tar.gz", hash = "sha256:a2241ff4ddde2a7cebddf78e39832509cb045d18ec1a09d7248d6bfc6bfbbe64"},
{file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"},
{file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"},
]
[[package]]
@ -174,13 +174,13 @@ test = ["hypothesis (<6.136.0)", "levenshtein (<=0.27.1)", "pip", "pylint (<3.3.
[[package]]
name = "fsspec"
version = "2025.12.0"
version = "2026.1.0"
description = "File-system specification"
optional = false
python-versions = ">=3.10"
files = [
{file = "fsspec-2025.12.0-py3-none-any.whl", hash = "sha256:8bf1fe301b7d8acfa6e8571e3b1c3d158f909666642431cc78a1b7b4dbc5ec5b"},
{file = "fsspec-2025.12.0.tar.gz", hash = "sha256:c505de011584597b1060ff778bb664c1bc022e87921b0e4f10cc9c44f9635973"},
{file = "fsspec-2026.1.0-py3-none-any.whl", hash = "sha256:cb76aa913c2285a3b49bdd5fc55b1d7c708d7208126b60f2eb8194fe1b4cbdcc"},
{file = "fsspec-2026.1.0.tar.gz", hash = "sha256:e987cb0496a0d81bba3a9d1cee62922fb395e7d4c3b575e57f547953334fe07b"},
]
[package.extras]
@ -191,7 +191,7 @@ dask = ["dask", "distributed"]
dev = ["pre-commit", "ruff (>=0.5)"]
doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs (>2024.2.0)", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs (>2024.2.0)", "smbprotocol", "tqdm"]
fuse = ["fusepy"]
gcs = ["gcsfs"]
git = ["pygit2"]
@ -208,7 +208,7 @@ smb = ["smbprotocol"]
ssh = ["paramiko"]
test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"]
tqdm = ["tqdm"]
[[package]]

View File

@ -29,3 +29,5 @@ mistral/Mistral-Large-3-675B:
- accuracy: 47
Qwen/Qwen3-VL-8B-Instruct:
- accuracy: 55.11
mistralai/Mistral-Small-3.1-24B-Instruct-2503:
- accuracy: 57.0

View File

@ -345,3 +345,28 @@ class TestQwen3VL(LlmapiAccuracyTestHarness):
) as llm:
task = MMMU(self.MODEL_NAME)
task.evaluate(llm, sampling_params=self.sampling_params)
class TestMistralSmall24B(LlmapiAccuracyTestHarness):
MODEL_NAME = "mistralai/Mistral-Small-3.1-24B-Instruct-2503"
MODEL_PATH = f"{llm_models_root()}/Mistral-Small-3.1-24B-Instruct-2503"
MAX_NUM_TOKENS = 16384
# NOTE: MMMU adds <|endoftext|> to the stop token.
sampling_params = SamplingParams(
max_tokens=MMMU.MAX_OUTPUT_LEN,
truncate_prompt_tokens=MMMU.MAX_INPUT_LEN,
stop="<|endoftext|>",
)
@pytest.mark.skip_less_device_memory(80000)
def test_auto_dtype(self):
kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.75)
with LLM(
self.MODEL_PATH,
kv_cache_config=kv_cache_config,
enable_chunked_prefill=True,
max_num_tokens=self.MAX_NUM_TOKENS,
) as llm:
task = MMMU(self.MODEL_NAME)
task.evaluate(llm, sampling_params=self.sampling_params)

View File

@ -2536,9 +2536,6 @@ def test_ptp_quickstart_advanced_mixed_precision(llm_root, llm_venv):
@pytest.mark.parametrize("use_cuda_graph", [False, True])
@pytest.mark.parametrize("modality", ["image", "video", "mixture_text_image"])
@pytest.mark.parametrize("model_name,model_path", [
pytest.param("mistral-small-3.1-24b-instruct",
"Mistral-Small-3.1-24B-Instruct-2503",
marks=pytest.mark.skip_less_device_memory(80000)),
pytest.param(
"Nano-v2-VLM",
"Nano-v2-VLM",
@ -2588,21 +2585,11 @@ def test_ptp_quickstart_multimodal(llm_root, llm_venv, model_name, model_path,
}
}
expected_keywords = {
"mistral-small-3.1-24b-instruct": {
"image": [
["dramatic", "seascape", "ocean", "turbulent", "waves", "dark"],
["scenic", "rock", "landscape", "monolith", "formation"],
[
"multi-lane", "highway", "moderate", "traffic", "flow",
"vehicles", "congestion"
],
],
"mixture_text_image":
[["invention", "person", "scientists", "Lick", "engineers"],
["landscape", "trees", "road", "depicts", "scenic"]]
},
}
# TODO: remove this entire test if there are no plans to extend them for Nano v2 VL.
expected_keywords = {}
if modality not in expected_keywords[model_name]:
pytest.skip(f"{modality=} not supported for {model_name}")
cmd = [
str(example_root / "quickstart_multimodal.py"),
@ -2620,19 +2607,13 @@ def test_ptp_quickstart_multimodal(llm_root, llm_venv, model_name, model_path,
if use_cuda_graph:
cmd.append("--use_cuda_graph")
output = llm_venv.run_cmd(cmd, caller=check_output)
_ = llm_venv.run_cmd(cmd, caller=check_output)
match_ratio = 4.0 / 5
parsed_outputs = parse_output(output)
for prompt_output, prompt_keywords in zip(
parsed_outputs, expected_keywords[model_name][modality]):
matches = [
keyword in prompt_output.lower() for keyword in prompt_keywords
]
obs_match_ratio = 1. * sum(matches) / len(matches)
assert obs_match_ratio >= match_ratio, f"Incorrect output!\nGenerated \"{prompt_output}\"\nExpected keywords \"{prompt_keywords}\"\n Matched keywords: {matches}\n Observed match ratio {obs_match_ratio} below threshold {match_ratio}\n\nParsed output for all prompts: {parsed_outputs}"
print("All answers are correct!")
# NOTE: we deliberately do not check the LLM outputs with keyword matching ratios as in the
# other tests, as it can be brittle and cause flakiness in CI.
# This test now becomes a smoke / functional test.
# Proper accuracy tests should be added to
# `tests/integration/defs/accuracy/test_llm_api_pytorch_multimodal.py`.
@pytest.mark.parametrize("modality", ["image", "video"])

View File

@ -741,9 +741,6 @@ test_e2e.py::test_ptp_quickstart_advanced_8gpus_chunked_prefill_sq_22k[Llama-4-M
test_e2e.py::test_ptp_quickstart_advanced_8gpus_chunked_prefill_sq_22k[Llama-4-Scout-17B-16E-Instruct-FP8-llama4-models/Llama-4-Scout-17B-16E-Instruct-FP8-True]
test_e2e.py::test_ptp_quickstart_advanced_8gpus_chunked_prefill_sq_22k[Llama-4-Scout-17B-16E-Instruct-FP4-llama4-models/Llama-4-Scout-17B-16E-Instruct-FP4-True]
test_e2e.py::test_relaxed_acceptance_quickstart_advanced_deepseek_r1_8gpus[DeepSeek-R1-DeepSeek-R1/DeepSeek-R1]
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-image-True]
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-image-False]
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-mixture_text_image-True]
test_e2e.py::test_ptp_quickstart_multimodal_kv_cache_reuse[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-0.6-image]
test_e2e.py::test_ptp_quickstart_multimodal_chunked_prefill[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-0.6-image]
test_e2e.py::test_ptp_quickstart_multimodal_phi4mm[phi4-multimodal-instruct-multimodals/Phi-4-multimodal-instruct-audio]

View File

@ -280,9 +280,6 @@ test_e2e.py::test_ptp_quickstart_advanced[Llama3.2-11B-BF16-llama-3.2-models/Lla
test_e2e.py::test_ptp_quickstart_advanced[Qwen3-30B-A3B-Qwen3/Qwen3-30B-A3B]
test_e2e.py::test_ptp_quickstart_bert[TRTLLM-BertForSequenceClassification-bert/bert-base-uncased-yelp-polarity]
test_e2e.py::test_ptp_quickstart_bert[VANILLA-BertForSequenceClassification-bert/bert-base-uncased-yelp-polarity]
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-image-False]
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-image-True]
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-mixture_text_image-True]
test_e2e.py::test_ptp_scaffolding[DeepSeek-R1-Distill-Qwen-7B-DeepSeek-R1/DeepSeek-R1-Distill-Qwen-7B]
test_e2e.py::test_ptp_quickstart_advanced_deepseek_r1_w4afp8_8gpus[DeepSeek-R1-W4AFP8-DeepSeek-R1/DeepSeek-R1-W4AFP8]
test_e2e.py::test_ptp_star_attention_example[Llama3.1-8B-BF16-llama-3.1-model/Meta-Llama-3.1-8B]

View File

@ -258,9 +258,6 @@ test_e2e.py::test_ptp_quickstart_advanced_8gpus_chunked_prefill_sq_22k[Llama-4-M
test_e2e.py::test_ptp_quickstart_advanced_8gpus_chunked_prefill_sq_22k[Llama-4-Scout-17B-16E-Instruct-FP8-llama4-models/Llama-4-Scout-17B-16E-Instruct-FP8-True]
test_e2e.py::test_ptp_quickstart_advanced_8gpus_chunked_prefill_sq_22k[Llama-4-Scout-17B-16E-Instruct-FP4-llama4-models/Llama-4-Scout-17B-16E-Instruct-FP4-True]
test_e2e.py::test_relaxed_acceptance_quickstart_advanced_deepseek_r1_8gpus[DeepSeek-R1-DeepSeek-R1/DeepSeek-R1]
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-image-True]
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-image-False]
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-mixture_text_image-True]
test_e2e.py::test_ptp_quickstart_multimodal_phi4mm[phi4-multimodal-instruct-multimodals/Phi-4-multimodal-instruct-audio]
test_e2e.py::test_ptp_quickstart_multimodal_phi4mm[phi4-multimodal-instruct-multimodals/Phi-4-multimodal-instruct-image]
test_e2e.py::test_ptp_quickstart_multimodal_phi4mm[phi4-multimodal-instruct-multimodals/Phi-4-multimodal-instruct-image_audio]

View File

@ -72,6 +72,7 @@ l0_h100:
- accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_chunked_prefill[quant_dtype=fp8-kv_cache_reuse=True-fp8kv=True-overlap_scheduler=True]
- accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_dummy_load_format
- accuracy/test_llm_api_pytorch_multimodal.py::TestGemma3_27BInstruct::test_fp8_prequantized
- accuracy/test_llm_api_pytorch_multimodal.py::TestMistralSmall24B::test_auto_dtype
- accuracy/test_llm_api_pytorch.py::TestQwen3_8B::test_fp8_block_scales[latency]
- accuracy/test_llm_api_pytorch.py::TestQwen3_8B::test_dummy_load_format
- accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_fp8[latency-torch_compile=False]
@ -284,8 +285,6 @@ l0_h100:
- accuracy/test_llm_api_pytorch.py::TestStarcoder2_3B::test_auto_dtype
- accuracy/test_llm_api_pytorch.py::TestStarcoder2_7B::test_auto_dtype
- accuracy/test_llm_api_pytorch.py::TestStarcoder2_15B::test_auto_dtype
- test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-image-True]
- test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-mixture_text_image-True]
- test_e2e.py::test_ptp_quickstart_multimodal_kv_cache_reuse[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-0.6-image]
- test_e2e.py::test_ptp_quickstart_multimodal_chunked_prefill[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-0.6-image]
- examples/test_mistral.py::test_mistral_with_bf16_lora_torch[mistral-7b-v0.1]

View File

@ -317,8 +317,6 @@ examples/test_phi.py::test_llm_phi_quantization_1gpu[Phi-3-small-128k-instruct-f
examples/test_multimodal.py::test_llm_multimodal_general[Mistral-Small-3.1-24B-Instruct-2503-pp:1-tp:1-bfloat16-bs:8-cpp_e2e:False-nb:1] SKIP (https://nvbugs/5644684)
accuracy/test_llm_api_pytorch.py::TestLlama3_1NemotronNano8Bv1::test_fp8_prequantized SKIP (https://nvbugs/5640697)
accuracy/test_llm_api_pytorch.py::TestQwQ_32B::test_auto_dtype_tp4 SKIP (https://nvbugs/5640697)
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-image-True] SKIP (https://nvbugs/5648560)
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-image-False] SKIP (https://nvbugs/5648560)
examples/test_multimodal.py::test_llm_multimodal_general[nougat-base-pp:1-tp:1-bfloat16-bs:8-cpp_e2e:False-nb:1] SKIP (https://nvbugs/5568052)
accuracy/test_llm_api_pytorch_multimodal.py::TestNVILA_8B::test_auto_dtype SKIP (https://nvbugs/5648441)
accuracy/test_llm_api_pytorch_multimodal.py::TestVILA1_5_3B::test_auto_dtype SKIP (https://nvbugs/5648441)
@ -356,7 +354,6 @@ accuracy/test_llm_api_pytorch.py::TestQwen3NextInstruct::test_nvfp4[tp1-cutlass]
accuracy/test_llm_api_pytorch.py::TestQwen3NextInstruct::test_nvfp4[tp4ep1-cutlass] SKIP (https://nvbugs/5702795)
accuracy/test_llm_api_pytorch.py::TestQwen3NextInstruct::test_nvfp4[tp4ep4-cutlass] SKIP (https://nvbugs/5702795)
accuracy/test_llm_api_pytorch.py::TestQwen3NextInstruct::test_nvfp4[tp4ep4-trtllm] SKIP (https://nvbugs/5702795)
test_e2e.py::test_ptp_quickstart_multimodal[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503-mixture_text_image-True] SKIP (https://nvbugs/5648560)
test_e2e.py::test_ptp_quickstart_multimodal_2gpu[mistral-small-3.1-24b-instruct-Mistral-Small-3.1-24B-Instruct-2503] SKIP (https://nvbugs/5648560)
accuracy/test_cli_flow.py::TestGpt2::test_weight_only[int4] SKIP (https://nvbugs/5705193)
accuracy/test_cli_flow.py::TestGpt2::test_int8_kv_cache SKIP (https://nvbugs/5705193)