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[Litellm Enhancement] Enable extra sampling args for litellm backend #1195

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[Litellm Enhancement] Enable extra sampling args for litellm backend #1195

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9 changes: 6 additions & 3 deletions src/lighteval/models/model_input.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@ class GenerationParameters(BaseModel, extra="forbid"):
repetition_penalty: NonNegativeFloat | None = None # vllm, transformers, tgi, sglang
frequency_penalty: NonNegativeFloat | None = None # vllm, tgi, sglang
length_penalty: NonNegativeFloat | None = None # vllm, transformers
presence_penalty: NonNegativeFloat | None = None # vllm, sglang
presence_penalty: NonNegativeFloat | None = None # vllm, sglang, litellm

max_new_tokens: NonNegativeInt | None = None # vllm, transformers, tgi, litellm, sglang
min_new_tokens: NonNegativeInt | None = None # vllm, transformers, sglang
Expand All @@ -42,8 +42,8 @@ class GenerationParameters(BaseModel, extra="forbid"):
temperature: NonNegativeFloat = (
0 # vllm, transformers, tgi, litellm, sglang # if not set, defaults to greedy decoding
)
top_k: NonNegativeInt | None = None # vllm, transformers, tgi, sglang
min_p: NonNegativeFloat | None = None # vllm, transformers, sglang
top_k: NonNegativeInt | None = None # vllm, transformers, tgi, sglang, litellm
min_p: NonNegativeFloat | None = None # vllm, transformers, sglang, litellm
top_p: NonNegativeFloat | None = None # vllm, transformers, tgi, litellm, sglang
truncate_prompt: bool | None = None # vllm, tgi

Expand Down Expand Up @@ -118,6 +118,9 @@ def to_litellm_dict(self) -> dict:
"seed": self.seed,
"repetition_penalty": self.repetition_penalty,
"frequency_penalty": self.frequency_penalty,
"presence_penalty": self.presence_penalty,
"top_k": self.top_k,
"min_p": self.min_p,
}
return {k: v for k, v in args.items() if v is not None}

Expand Down