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[CI/Build] Fix model nightly tests #26466

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merged 2 commits into from
Oct 9, 2025
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[CI/Build] Fix model nightly tests #26466

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[CI/Build] Fix model nightly tests
DarkLight1337 Oct 9, 2025
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DarkLight1337 Oct 9, 2025
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2 changes: 1 addition & 1 deletion tests/models/language/generation/test_common.py
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Expand Up @@ -100,7 +100,7 @@
"allenai/OLMoE-1B-7B-0924-Instruct",
marks=[pytest.mark.cpu_model],
),
pytest.param("swiss-ai/Apertus-8B-2509"), # apertus
pytest.param("swiss-ai/Apertus-8B-Instruct-2509"), # apertus
],
)
@pytest.mark.parametrize("max_tokens", [32])
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2 changes: 1 addition & 1 deletion tests/models/language/pooling/test_token_classification.py
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Expand Up @@ -67,4 +67,4 @@ def test_modernbert_models(
for hf_output, vllm_output in zip(hf_outputs, vllm_outputs):
hf_output = torch.tensor(hf_output).cpu().float()
vllm_output = torch.tensor(vllm_output).cpu().float()
assert torch.allclose(hf_output, vllm_output, 1e-2)
assert torch.allclose(hf_output, vllm_output, atol=1e-2)
1 change: 1 addition & 0 deletions tests/models/multimodal/generation/test_common.py
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Expand Up @@ -749,6 +749,7 @@
max_num_seqs=2,
auto_cls=AutoModelForImageTextToText,
hf_output_post_proc=model_utils.smolvlm_trunc_hf_output,
num_logprobs=10,
),
"tarsier": VLMTestInfo(
models=["omni-research/Tarsier-7b"],
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8 changes: 5 additions & 3 deletions tests/models/multimodal/pooling/test_clip.py
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Expand Up @@ -45,14 +45,16 @@ def _run_test(

all_outputs = []
for inputs in all_inputs:
inputs = hf_model.wrap_device(inputs)

if "pixel_values" in inputs:
inputs.pop("input_ids")
pooled_output = hf_model.model.get_image_features(
**hf_model.wrap_device(inputs)
pixel_values=inputs.pixel_values,
).squeeze(0)
else:
pooled_output = hf_model.model.get_text_features(
**hf_model.wrap_device(inputs)
input_ids=inputs.input_ids,
attention_mask=inputs.attention_mask,
).squeeze(0)

all_outputs.append(pooled_output.tolist())
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3 changes: 1 addition & 2 deletions tests/models/registry.py
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Expand Up @@ -172,9 +172,8 @@ def check_available_online(
_TEXT_GENERATION_EXAMPLE_MODELS = {
# [Decoder-only]
"ApertusForCausalLM": _HfExamplesInfo(
"swiss-ai/Apertus-8B-2509",
"swiss-ai/Apertus-8B-Instruct-2509",
min_transformers_version="4.56.0",
trust_remote_code=True,
),
"AquilaModel": _HfExamplesInfo("BAAI/AquilaChat-7B", trust_remote_code=True),
"AquilaForCausalLM": _HfExamplesInfo("BAAI/AquilaChat2-7B", trust_remote_code=True),
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