Finally, in a separate shell, run a model: ./ollama run llama3.2 REST API Ollama has a REST API for running and managing models. Generate a response curl http://localhost:11434/api/generate -d'{"model": "llama3.2","prompt":"Why is the sky blue?"}' ...
PIM_join_failed : PIM join entry with output {} not in vtysh counters_mismatch : Counters not matched for {} interface {} drop_counters_mismatch : Drop counters not matched for {} interface {} Mroute_bcmcmd_failed : Could not find Mroute source {} group {} in hardware Mroute_asic_cmd...
void FFmpegSource::play(const string &src_url,const string &dst_url,int timeout_ms,const string &ffmpegCmd,const onPlay &cb) { GET_CONFIG(string,ffmpeg_bin,FFmpeg::kBin); GET_CONFIG(string,ffmpeg_cmd,FFmpeg::kCmd); GET_CONFIG(string,ffmpeg_log,FFmpeg::kLog); //chenxiaolei 支持单独为...
Output: Ollama is a lightweight, extensible framework for building and running language models on the local machine. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications. ...