解决:laravel出现Please provide a valid cache path.

本文介绍了解决SVN检出项目后访问首页提示“Please provide a valid cache path”的方法。主要步骤包括检查并创建storage目录及其子目录,确保缓存、会话和视图等文件夹存在。

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SVN检出版本库上的项目后,访问首页出现如下提示:

Please provide a valid cache path.

解决方法如下:

1、确保storage目录下有如app,framework,views三个目录。

2、确保storage/framework目录下也有cache,sessions,views三个目录。

缺少以上目录就手动创建,然后访问网站首页试试。

转载于:https://www.cnblogs.com/lamp01/p/6945434.html

Traceback (most recent call last): File "/root/miniconda3/envs/myenv/lib/python3.9/runpy.py", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File "/root/miniconda3/envs/myenv/lib/python3.9/runpy.py", line 87, in _run_code exec(code, run_globals) File "/root/miniconda3/envs/myenv/lib/python3.9/site-packages/vllm/entrypoints/openai/api_server.py", line 1376, in <module> uvloop.run(run_server(args)) File "/root/miniconda3/envs/myenv/lib/python3.9/site-packages/uvloop/__init__.py", line 82, in run return loop.run_until_complete(wrapper()) File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete File "/root/miniconda3/envs/myenv/lib/python3.9/site-packages/uvloop/__init__.py", line 61, in wrapper return await main File "/root/miniconda3/envs/myenv/lib/python3.9/site-packages/vllm/entrypoints/openai/api_server.py", line 1324, in run_server async with build_async_engine_client(args) as engine_client: File "/root/miniconda3/envs/myenv/lib/python3.9/contextlib.py", line 181, in __aenter__ return await self.gen.__anext__() File "/root/miniconda3/envs/myenv/lib/python3.9/site-packages/vllm/entrypoints/openai/api_server.py", line 153, in build_async_engine_client async with build_async_engine_client_from_engine_args( File "/root/miniconda3/envs/myenv/lib/python3.9/contextlib.py", line 181, in __aenter__ return await self.gen.__anext__() File "/root/miniconda3/envs/myenv/lib/python3.9/site-packages/vllm/entrypoints/openai/api_server.py", line 173, in build_async_engine_client_from_engine_args vllm_config = engine_args.create_engine_config(usage_context=usage_context) File "/root/miniconda3/envs/myenv/lib/python3.9/site-packages/vllm/engine/arg_utils.py", line 983, in create_engine_config model_config = self.create_model_config() File "/root/miniconda3/envs/myenv/lib/python3.9/site-packages/vllm/engine/arg_utils.py", line 875, in create_model_config return ModelConfig( File "<string>", line 42, in __init__ File "/root/miniconda3/envs/myenv/lib/python3.9/site-packages/vllm/config.py", line 515, in __post_init__ hf_config = get_config(self.hf_config_path or self.model, File "/root/miniconda3/envs/myenv/lib/python3.9/site-packages/vllm/transformers_utils/config.py", line 307, in get_config raise ValueError(error_message) from e ValueError: Invalid repository ID or local directory specified: '/data/nlp/models/llama3_8b_instruct'. Please verify the following requirements: 1. Provide a valid Hugging Face repository ID. 2. Specify a local directory that contains a recognized configuration file. - For Hugging Face models: ensure the presence of a 'config.json'. - For Mistral models: ensure the presence of a 'params.json'. 3. For GGUF: pass the local path of the GGUF checkpoint. Loading GGUF from a remote repo directly is not yet supported.
06-03
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