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When I launch an Internvl2 multimodal model, it can perform inference normally. However, after I quantize its language model component, it loads successfully but encounters errors during inference :
[TensorRT-LLM][ERROR] Request embedding table data type doesn't match model weight data type.
[TensorRT-LLM][ERROR] Encountered an error in forwardAsync function: Request embedding table data type doesn't match model weight data type.
Do both the visual encoder and the language model need to be quantized to fp8?
How to modify the config.pbtxt?
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