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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 3, 17:45 UTC

[CI] set max transformers version for skywork model (#42104)

Signed-off-by: Divakar Verma <divakar.verma@amd.com>

Divakar Verma committed May 13, 2026 at 19:53 UTC ca7e4546da4cb716df671dfcf26e459dd3dfd9f0
1 file changed +10 -1
tests/models/registry.py
+10 -1
@@ -1334,7 +1334,16 @@ _MULTIMODAL_EXAMPLE_MODELS = {
1334 ),
1335 "RForConditionalGeneration": _HfExamplesInfo("YannQi/R-4B", trust_remote_code=True),
1336 "SkyworkR1VChatModel": _HfExamplesInfo(
1337 - "Skywork/Skywork-R1V-38B", trust_remote_code=True
1337 + "Skywork/Skywork-R1V-38B",
1338 + trust_remote_code=True,
1339 + max_transformers_version="4.57",
1340 + transformers_version_reason={
1341 + "hf": (
1342 + "SkyworkChatModel.__init__ does not call self.post_init(), so "
1343 + "`all_tied_weights_keys` is never set; Transformers v5 requires "
1344 + "this attribute in _move_missing_keys_from_meta_to_device."
1345 + )
1346 + },
1347 ),
1348 "SmolVLMForConditionalGeneration": _HfExamplesInfo(
1349 "HuggingFaceTB/SmolVLM2-2.2B-Instruct"