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Support local GGUF in VLLM and use HF tokenizer #943 #972

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Merged
merged 2 commits into from
Sep 18, 2025
Merged

Support local GGUF in VLLM and use HF tokenizer #943 #972

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a78390d
Support local GGUF in VLLM and use HF tokenizer #943
JIElite Sep 17, 2025
a00d8f9
Improve the readability of implementation
JIElite Sep 17, 2025
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5 changes: 4 additions & 1 deletion src/lighteval/models/vllm/vllm_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -85,6 +85,8 @@ class VLLMModelConfig(ModelConfig):
Attributes:
model_name (str):
HuggingFace Hub model ID or path to the model to load.
tokenizer (str | None):
HuggingFace Hub model ID or path to the tokenizer to load.
revision (str):
Git revision of the model. Defaults to "main".
dtype (str):
Expand Down Expand Up @@ -150,6 +152,7 @@ class VLLMModelConfig(ModelConfig):
"""

model_name: str
tokenizer: str | None = None
revision: str = "main" # revision of the model
dtype: str = "bfloat16"
tensor_parallel_size: PositiveInt = 1 # how many GPUs to use for tensor parallelism
Expand Down Expand Up @@ -289,7 +292,7 @@ def _create_auto_model(self, config: VLLMModelConfig) -> Optional[LLM]:

def _create_auto_tokenizer(self, config: VLLMModelConfig):
tokenizer = get_tokenizer(
config.model_name,
config.tokenizer or config.model_name, # use HF tokenizer for non-HF models, like GGUF model.
tokenizer_mode="auto",
trust_remote_code=config.trust_remote_code,
revision=config.revision,
Expand Down
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