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

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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
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24
vllm/model_executor/models/internlm2.py
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@@ -250,14 +250,13 @@ class InternLMDecoderLayer(nn.Module):
@support_torch_compile
class InternLM2Model(nn.Module):
def __init__(
self,
config: PretrainedConfig,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
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
quant_config = vllm_config.quant_config
self.config = config
self.padding_idx = config.pad_token_id
self.vocab_size = config.vocab_size
@@ -317,20 +316,13 @@ class InternLM2Model(nn.Module):
class InternLM2ForCausalLM(nn.Module, SupportsPP):
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
quant_config = vllm_config.quant_config
self.config = config
self.quant_config = quant_config
self.model = InternLM2Model(config,
cache_config,
quant_config,
self.model = InternLM2Model(vllm_config=vllm_config,
prefix=maybe_prefix(prefix, "model"))
self.output = ParallelLMHead(config.vocab_size,
config.hidden_size,