And after install the CUDA 12.2, I install vLLM succeed but can't run. Traceback (most recent call last): File "/home/dell/workSpace/vllm/vllm/entrypoints/openai/api_server.py", line 616, in <module> engine = AsyncLLMEngine.from_engine_args(engine_args) File "/home/dell/workSpace/v...
('cpu'), Traceback (most recent call last): File "C:\Users\botao\anaconda3\envs\vllm\lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 353, in <module> main() File "C:\Users\botao\anaconda3\envs\vllm\lib\site-packages\pip\_vendor\pyproject_hooks\...
ig_proxy_str,$config_pip_str设置对应的代理和pip源,来确保当前代理和pip源可用。 精度评测新建一个conda环境,确保之前启动服务为vllm接口,进入到benchmark_eval目录下,执行如下命令。命令中的$work_dir 是benchmark_eval的绝对路径。 来自:帮助中心
示例:从 0 到 1 制作自定义镜像并用于训练(Pytorch+CPU/GPU) Engine来制作自定义镜像。 准备名为context的文件夹。 mkdir -p context 准备可用的pip源文件pip.conf 。本示例使用华为开源镜像站提供的pip源,其pip.conf文件内容如下。 [global] index-url = https://repo.huaweicloud ...
Check pip version: pip3 -V If pip is older than 9.0.1: py -3 -m pip install --upgrade pip Then: py -3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.0-py3-none-any.whl Share Improve this answer Follow edited Jul 12, 2020 at 9:19...
pip install package_name --index-url=https://example.com/simple/ 如果需要指定额外的索引源,可以使用--extra-index-url参数的替代方法,将额外的索引源添加到--index-url参数的后面,如下所示: 代码语言:txt 复制 pip install package_name --index-url=https://example.com/simple/ --extra-ind...
然后克隆项目,输入如下命令: git clone https://github.com/FunAudioLLM/SenseVoice.git 如果提示网络超时等,输入如下命令,完了重新拉取代码就好。.../venv/bin/activate 安装依赖 pip install -r requirements.txt 安装好依赖以后,我们更新pip pip install --upgrade pip VsCode...当我们上传音频时遇到了错误如...
CPU: 13th Gen Intel(R) Core(TM) i5-13400F GPU: Radeon RX 7900 XT Ubuntu 22.04.1 Python 3.10.6 Make 4.3 g++ 11.3.0 Failure Information (for bugs) The installation failed, here is the output when runningCMAKE_ARGS="-DLLAMA_HIPBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python ...
ComfyUI Error Report Error Details Node Type: Joy_caption_two Exception Type: ImportError Exception Message: Using low_cpu_mem_usage=True or a device_map requires Accelerate: pip install 'accelerate>=0.26.0' Stack Trace File "V:\SD\Comfy...
#构造vllm评测配置脚本名字 确保容器内通网,未通网需要配置$config_proxy_str,$config_pip_str设置对应的代理和pip源,来确保当前代理和pip源可用。 精度评测新建一个conda环境,确保之前启动服务为vllm接口,进入到benchmark_eval目 来自:帮助中心 查看更多 →...