[6/N] pass whole config to inner model (#10205)

Signed-off-by: youkaichao <youkaichao@gmail.com>
This commit is contained in:
youkaichao
2024-11-10 22:41:46 -08:00
committed by GitHub
parent f0f2e5638e
commit f89d18ff74
69 changed files with 681 additions and 963 deletions

View File

@@ -18,7 +18,7 @@ from vllm.sequence import IntermediateTensors, PoolerOutput
from .interfaces import SupportsPP
from .qwen2 import Qwen2Model
from .utils import AutoWeightsLoader
from .utils import AutoWeightsLoader, maybe_prefix
class ReLU(nn.Module):
@@ -55,11 +55,7 @@ class Qwen2ForRewardModel(nn.Module, SupportsPP):
embedding_modules = {}
embedding_padding_modules = []
def __init__(
self,
vllm_config: VllmConfig,
prefix: str = "",
) -> None:
def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
super().__init__()
config = vllm_config.model_config.hf_config
cache_config = vllm_config.cache_config
@@ -82,7 +78,8 @@ class Qwen2ForRewardModel(nn.Module, SupportsPP):
self.lora_config = lora_config
self.quant_config = quant_config
self.model = Qwen2Model(config, cache_config, quant_config)
self.model = Qwen2Model(vllm_config=vllm_config,
prefix=maybe_prefix(prefix, "model"))
self.score = nn.Sequential(
ColumnParallelLinear(config.hidden_size,