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Enhance model loading process in EndpointHandler Added detailed logging for Python and PyTorch versions, and CUDA availability. Implemented multiple approaches for loading the model, including AutoModel, LlavaForConditionalGeneration, and a fallback to pipeline and manual loading with tokenizer. Improved error handling and status reporting for model loading failures. Updated generation logic to handle cases where no model components are available.

fixex llva vission capalities

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