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[Eagle3] Add Qwen2 as verifier for Eagle3 speculation #98

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[Eagle3] Add Qwen2 as verifier for Eagle3 speculation #98

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13 changes: 11 additions & 2 deletions vllm/model_executor/models/qwen2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@
from vllm.sequence import IntermediateTensors
from vllm.transformers_utils.config import is_interleaved

from .interfaces import SupportsLoRA, SupportsPP
from .interfaces import SupportsEagle3, SupportsLoRA, SupportsPP
from .utils import (AutoWeightsLoader, PPMissingLayer, extract_layer_index,
is_pp_missing_parameter,
make_empty_intermediate_tensors_factory, make_layers,
Expand Down Expand Up @@ -439,7 +439,7 @@ def load_weights(self, weights: Iterable[tuple[str,
return loaded_params


class Qwen2ForCausalLM(nn.Module, SupportsLoRA, SupportsPP):
class Qwen2ForCausalLM(nn.Module, SupportsLoRA, SupportsPP, SupportsEagle3):
packed_modules_mapping = {
"qkv_proj": [
"q_proj",
Expand Down Expand Up @@ -485,6 +485,15 @@ def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
def get_input_embeddings(self, input_ids: torch.Tensor) -> torch.Tensor:
return self.model.get_input_embeddings(input_ids)

def set_aux_hidden_state_layers(self, layers: tuple[int]) -> None:
"""Set auxiliary hidden state layers for Eagle3 speculation."""
self.model.aux_hidden_state_layers = layers

def get_eagle3_aux_hidden_state_layers(self) -> tuple[int]:
"""Get the layer indices for Eagle3 auxiliary hidden states."""
num_layers = len(self.model.layers)
return (2, num_layers // 2, num_layers - 3)

def forward(
self,
input_ids: torch.Tensor,
Expand Down