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[Model] Add GPT-OSS model code and config #625

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[Model] Add GPT-OSS model code and config #625

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1 change: 1 addition & 0 deletions tests/models/registry.py
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Original file line number Diff line number Diff line change
Expand Up @@ -191,6 +191,7 @@ def check_available_online(
{"6b": "EleutherAI/gpt-j-6b"}),
"GPTNeoXForCausalLM": _HfExamplesInfo("EleutherAI/pythia-70m",
{"1b": "EleutherAI/pythia-1.4b"}),
"GptOssForCausalLM": _HfExamplesInfo("openai/gpt-oss-20b"),
"GraniteForCausalLM": _HfExamplesInfo("ibm/PowerLM-3b"),
"GraniteMoeForCausalLM": _HfExamplesInfo("ibm/PowerMoE-3b"),
"GraniteMoeHybridForCausalLM": _HfExamplesInfo("ibm-granite/granite-4.0-tiny-preview"), # noqa: E501
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29 changes: 29 additions & 0 deletions vllm/model_executor/models/config.py
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Expand Up @@ -218,6 +218,34 @@ def verify_and_update_config(vllm_config: "VllmConfig") -> None:
config.max_model_len)


class GptOssConfig(VerifyAndUpdateConfig):

@staticmethod
def verify_and_update_config(vllm_config: "VllmConfig") -> None:
decoding_config = vllm_config.decoding_config
if decoding_config.reasoning_backend == "":
decoding_config.reasoning_backend = "openai"

# Increase the max capture size from 512 to 1024 for performance.
# NOTE(woosuk): This will increase the number of CUDA graphs
# from 67 to 83.
scheduler_config = vllm_config.scheduler_config
if len(scheduler_config.cuda_graph_sizes) == 1:
max_capture_size = scheduler_config.cuda_graph_sizes[0]
# FIXME(woosuk): When using full cuda graph with FA3, the max
# supported size is 992.
if max_capture_size < 1024:
cuda_graph_sizes = [1, 2, 4]
# Step size 8 for small batch sizes
cuda_graph_sizes += [i for i in range(8, 256, 8)]
# Step size 16 for larger batch sizes
cuda_graph_sizes += [i for i in range(256, 1025, 16)]
scheduler_config.cuda_graph_sizes = cuda_graph_sizes
logger.info(
"Overriding max cuda graph capture size to "
"%d for performance.", 1024)


class HybridAttentionMambaModelConfig(VerifyAndUpdateConfig):

@classmethod
Expand Down Expand Up @@ -313,4 +341,5 @@ def verify_and_update_config(cls, vllm_config: "VllmConfig") -> None:
"XLMRobertaModel": JinaRobertaModelConfig,
"JinaVLForRanking": JinaVLForSequenceClassificationConfig,
"GraniteMoeHybridForCausalLM": GraniteMoeHybridModelConfig,
"GptOssForCausalLM": GptOssConfig,
}
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