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[CI/Build] Re-enable registry tests for 3 now-public model checkpoints
Granite4VisionForConditionalGeneration, GlmOcrMTPModel and Qwen3DSparkModel carry is_available_online=False, set while their checkpoints were unpublished. All three repos are now public on the Hub, their configs declare the registered architectures, and test_can_initialize_large_subset passes for all three locally, so the flags only disable coverage. An audit of the remaining flagged entries found the rest must stay flagged — not for availability, but because initialization genuinely fails: DeepSeek-V4 asserts fp8_ds_mla requires an fp8 kv-cache (the test uses auto), MiniMax-M3 OOMs a 32 GiB GPU even with dummy weights, and Gemma4-Unified/Intern-S2 hit config errors ('sliding_attention' is not in list). Those need their own fixes before unflagging. Same defect class as the Cosmos3 fix in #48211. Assisted-by: Claude Signed-off-by: Mingfei Guo <1800012773@pku.edu.cn>
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tests/models/registry.py

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@@ -895,7 +895,6 @@ def check_available_online(
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),
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"Granite4VisionForConditionalGeneration": _HfExamplesInfo(
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"ibm-granite/granite-vision-4.1-4b",
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is_available_online=False,
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),
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"GraniteVision": _HfExamplesInfo("ibm-granite/granite-vision-3.3-2b"),
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"GraniteSpeechForConditionalGeneration": _HfExamplesInfo(
@@ -1442,7 +1441,6 @@ def check_available_online(
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"Qwen3DSparkModel": _HfExamplesInfo(
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"Qwen/Qwen3-8B",
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speculative_model="deepseek-ai/dspark_qwen3_8b_block7",
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is_available_online=False,
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use_original_num_layers=True, # DSpark backbone requires all layers
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),
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# [Eagle]
@@ -1617,7 +1615,6 @@ def check_available_online(
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"GlmOcrMTPModel": _HfExamplesInfo(
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"zai-org/GLM-OCR",
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speculative_model="zai-org/GLM-OCR",
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is_available_online=False,
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min_transformers_version="5.1.0",
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),
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"HYV3MTPModel": _HfExamplesInfo(

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