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[ColossalEval] support for vllm (#6056)

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* support vllm

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* modify vllm and update readme

* run pre-commit

* remove dupilicated lines and refine code

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* update param name

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* refine code

* update readme

* refine code

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Camille Zhong
2024-09-18 17:09:45 +08:00
committed by GitHub
parent 4fa6b9509c
commit f9546ba0be
19 changed files with 576 additions and 35 deletions
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4
applications/ColossalEval/colossal_eval/models/chatglm.py
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@@ -28,7 +28,7 @@ class ChatGLMModel(HuggingFaceModel):
@torch.no_grad()
def get_loss(
self, batch_prompt: List[str], batch_target: List[List[str]], pretrain: bool = False
self, batch_prompt: List[str], batch_target: List[List[str]], calculate_overall_loss: bool = False
) -> List[List[float]]:
"""
Calculate loss only on target tokens.
@@ -225,7 +225,7 @@ class ChatGLM2Model(ChatGLMModel):
@torch.no_grad()
def get_loss(
self, batch_prompt: List[str], batch_target: List[List[str]], pretrain: bool = False
self, batch_prompt: List[str], batch_target: List[List[str]], calculate_overall_loss: bool = False
) -> List[List[float]]:
"""
Calculate loss only on target tokens.