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Implement model.llm.memory.estimate_llm_gpu_memory
which output model_mem, kv_cache, overhead, active_mem.
Download config.json from huggingface/modelscope and load model layers info
support kv_cache_dtype 8/16/32 (gpu_poor might only calculate fp32)
Algorithm refer to https://github.com/RahulSChand/gpu_poor
model.llm.utils: Add convert_model_size_to_float