Windows, Docker GPU Nvidia CPU Intel Ollama version 0.1.32 mingLvftadded thebugSomething isn't workinglabelJun 6, 2024 dhiltgenself-assigned thisJun 18, 2024 dhiltgenaddednvidiaIssues relating to Nvidia GPUs and CUDAmemorylabelsJun 18, 2024...
gpu003: main() gpu003: File "/data/vayu/train/LLaMA-Factory/src/train_bash.py", line 5, in main gpu003: run_exp() gpu003: File "/data/vayu/train/LLaMA-Factory/src/llmtuner/train/tuner.py", line 31, in run_exp gpu003: run_sft(model_args, data_args, training_args, finetuning...
I want to finetune llama2-13b in my 48G A6000 GPU(GPUid:1) of single GPU mode. Though I have already set CUDA_VISIBLE_DEVICES=1, the finetune process is still run on my 24G A5000 GPU(GPUid:0), which is have limited memory to run the process. pip install --extra-index-url htt...
model.main_gpu = main_gpu; model.n_gpu_layers = n_gpu_layers; #ifdef GGML_USE_SYCL if (split_mode == LLAMA_SPLIT_MODE_NONE) { ggml_backend_sycl_set_single_device(main_gpu); //SYCL use device index (0, 1, 2), instead if device id. ...
I managed to get this working on another computer last month but can not remember how to get it to select the proper type of GPU. "Failed to detect a default CUDA architecture." The instructions say " set the TCNN_CUDA_ARCHITECTURES environment variable for the GPU you would like to use...