runtime error
Exit code: 1. Reason: 64%|βββββββ | 1.68G/2.60G [00:11<00:05, 184MB/s][A model.safetensors: 100%|ββββββββββ| 2.60G/2.60G [00:12<00:00, 209MB/s] [transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d Traceback (most recent call last): File "/app/app.py", line 170, in <module> model = MiniCPMV4_6ForConditionalGeneration.from_pretrained( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/transformers/modeling_utils.py", line 4296, in from_pretrained loading_info, disk_offload_index = cls._load_pretrained_model(model, state_dict, checkpoint_files, load_config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/transformers/modeling_utils.py", line 4377, in _load_pretrained_model caching_allocator_warmup(model, expanded_device_map, load_config.hf_quantizer) File "/usr/local/lib/python3.12/site-packages/transformers/modeling_utils.py", line 5020, in caching_allocator_warmup free_device_memory, total_device_memory = accelerator_module.mem_get_info(index) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/torch/cuda/memory.py", line 847, in mem_get_info return torch.cuda.cudart().cudaMemGetInfo(device) ^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/torch/cuda/__init__.py", line 568, in cudart _lazy_init() File "/usr/local/lib/python3.12/site-packages/torch/cuda/__init__.py", line 491, in _lazy_init torch._C._cuda_init() RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx
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