Whenever NVIDIA releases a new GPU the switch statement will need to be expanded but this is I think negligible in terms of maintenance effort. I'm using Manjaro with CUDA 12.6 on my systems. For whatever reason the CUDA cross compile is broken (fails when trying to run the code) and I...
Specific GPUs we develop and test against are listed below, this doesn't mean your GPU will not work if it doesn't fall into this category it's just DeepSpeed is most well tested on the following: NVIDIA: Pascal, Volta, Ampere, and Hopper architectures ...
Run Llama 3 locally using Ollama. Follow simple steps to set up and start your project quickly. Perfect for beginners! Read More October 04, 2021 How to Use DF command in Linux to Check Disk Space 0 comments 0 reactions Master Linux disk management with the DF command. Learn to c...
AMD GPU: Enables running the DeepSeek-V3 model on AMD GPUs via SGLang in both BF16 and FP8 modes. Huawei Ascend NPU: Supports running DeepSeek-V3 on Huawei Ascend devices. Since FP8 training is natively adopted in our framework, we only provide FP8 weights. If you require BF16 weights ...
(x) if self.checkpoint: x = torch.utils.checkpoint.checkpoint(self.conv2, x) else: x = self.conv2(x) x = torch.nn.functional.relu(x) x = self.conv3(x) return x def run_forward(model_, x): out = model_(x) def run(grad_checkpoint): device = "cuda" if torch.cuda.is_...
For large models like "OpenGVLab/InternVL2-Llama3-76B", you may have to use multi-GPU to do the evaluation. You can specify --device to None to use all GPUs available. Close-source evaluation (using API) We provide the evaluation script for the close-source models insrc/evaluation/close...
Whenever NVIDIA releases a new GPU the switch statement will need to be expanded but this is I think negligible in terms of maintenance effort. I'm using Manjaro with CUDA 12.6 on my systems. For whatever reason the CUDA cross compile is broken (fails when trying to run the code) and I...