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I'm getting these warning during inference with an 8bit quantized InternVL chat model, but I'm not sure whether this causes any degradation in performance or results - can anyone help me find out what might be going on? I'm on Linux with CUDA 12.4 (pasted conda list output below)
UserWarning: MatMul8bitLt: inputs will be cast from torch.bfloat16 to float16 during quantization
warnings.warn(f"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization")
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I'm getting these warning during inference with an 8bit quantized InternVL chat model, but I'm not sure whether this causes any degradation in performance or results - can anyone help me find out what might be going on? I'm on Linux with CUDA 12.4 (pasted
conda list
output below)Beta Was this translation helpful? Give feedback.
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