If you encounter any issues or errors during the process, please provide more details, and I'll be happy to assist you further.Ĭertainly! Here are the detailed steps for the tasks you mentioned in a table format: Please note that the steps provided are based on the information you provided, and it assumes you have the necessary dependencies and permissions to perform these actions. Make sure to replace the example URLs and filenames with the actual ones you are using. Use the following command to run the executable: This will attempt to load 18 layers of the model into the GPU's VRAM instead of the system's RAM. After the compilation is successful, you can run the resulting `main` executable with the `-ngl` option set to 18. Compile the code with support for CUBLAS (BLAS on GPU) by running the following command:ĥ. Navigate into the cloned `llama.cpp` directory:Ĥ. Open a terminal and navigate to the directory where you want to clone the repository, then execute the following command:ģ. Make sure you have `git` installed on your system. Clone the llama.cpp repository using `git`. You can use a web browser or a command-line tool like `wget` to download the file. Download the weights for the model you want to use, such as "5_1.bin". Make sure you have a PC with an NVidia GPU running Ubuntu, and you have already set up the NVidia drivers and CUDA Toolkit.ġ. Llama_print_timings: total time = 120788.82 msĬertainly! Here are the detailed steps for the tasks you mentioned:Ġ. Llama_print_timings: prompt eval time = 2197.82 ms / 2 tokens ( 1098.91 ms per token) Llama_print_timings: sample time = 280.81 ms / 294 runs ( 0.96 ms per token) Llama_print_timings: load time = 7638.95 ms Llama_print_timings: total time = 239423.46 ms Llama_print_timings: prompt eval time = 13876.81 ms / 259 tokens ( 53.58 ms per token) Llama_print_timings: sample time = 612.06 ms / 536 runs ( 1.14 ms per token) Llama_print_timings: load time = 3725.08 ms I am testing it on an AWS instance and the speedup effect is not as consistent as I hope.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |