runtime error

Exit code: 1. Reason: r.decoder.norm.weight', 'edit_head.mapper.decoder.layers.1.self_attn.out_proj.weight', 'edit_head.mapper.encoder.layers.3.self_attn.out_proj.bias', 'edit_head.mapper.decoder.layers.2.norm2.bias', 'edit_head.mapper.decoder.layers.0.norm2.weight', 'edit_head.mapper.decoder.layers.0.self_attn.out_proj.bias', 'edit_head.mapper.decoder.layers.3.self_attn.out_proj.weight', 'edit_head.mapper.decoder.layers.0.norm3.bias', 'edit_head.mapper.decoder.layers.1.norm1.bias', 'edit_head.mapper.encoder.layers.3.norm1.weight', 'edit_head.mapper.encoder.layers.0.self_attn.in_proj_bias', 'edit_head.mapper.decoder.layers.0.linear2.weight', 'edit_head.mapper.decoder.layers.2.multihead_attn.in_proj_weight', 'edit_head.llm2hid.weight', 'edit_head.mapper.decoder.layers.3.norm3.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Traceback (most recent call last): File "/home/user/app/app.py", line 45, in <module> model = LlavaLlamaForCausalLM.from_pretrained(PATH_LLAVA, low_cpu_mem_usage=True, torch_dtype=T.float16, use_cache=True).cuda() File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 905, in cuda return self._apply(lambda t: t.cuda(device)) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 797, in _apply module._apply(fn) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 797, in _apply module._apply(fn) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 820, in _apply param_applied = fn(param) File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 905, in <lambda> return self._apply(lambda t: t.cuda(device)) File "/usr/local/lib/python3.10/site-packages/torch/cuda/__init__.py", line 247, 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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