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[fix] Update layerwise.py: avoid forced type conversion #1282

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[fix] Update layerwise.py: avoid forced type conversion #1282

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3 changes: 1 addition & 2 deletions FlagEmbedding/inference/reranker/decoder_only/layerwise.py
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Original file line number Diff line number Diff line change
Expand Up @@ -111,8 +111,7 @@ def __init__(
)

if use_bf16 is False and use_fp16 is False:
warnings.warn("Due to model constraints, `use_bf16` and `use_fp16` cannot both be `False`. Here, `use_fp16` is set to `True` by default.", UserWarning)
self.use_fp16 = True
raise ValueError("Due to model constraints, Both use_bf16 and use_fp16 cannot be False. Please set at least one to True.")

try:
self.model = LayerWiseMiniCPMForCausalLM.from_pretrained(
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