Source code for tensorrt_llm.models.medusa.config

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from ..llama.config import LLaMAConfig
from ..qwen.config import QWenConfig


# Medusa-specific config is stored and retrieved from GenericMedusaConfig.
[docs] class MedusaConfig(): def __init__(self, *, num_medusa_heads: int = 4, num_medusa_layers: int = 1, max_draft_len: int = 63, **kwargs): GenericMedusaConfig = QWenConfig if "qwen" in kwargs[ 'model_type'] else LLaMAConfig self.config = GenericMedusaConfig(**kwargs) # Add objects self.config.num_medusa_heads = num_medusa_heads self.config.num_medusa_layers = num_medusa_layers self.config.max_draft_len = max_draft_len
[docs] def to_dict(self): output = self.config.to_dict() output['num_medusa_heads'] = self.config.num_medusa_heads output['num_medusa_layers'] = self.config.num_medusa_layers output['max_draft_len'] = self.config.max_draft_len return output
# Specialization to redirect accesses to self.config def __getattr__(self, name): return getattr(self.config, name) def __getstate__(self): return self.__dict__ def __setstate__(self, state): self.__dict__.update(state)