Answers.Body: <p>In that case, it is possible that there is not enough VRAM, or that parameters such as n_gpu_layers, n_ctx are not set appropriately. For information on settings, please refer to the following. If you try using a very small GGUF, you should be able to tell whether the problem is with VRAM or not.
  Also, even if you build with CUDA specified, there are many cases where CUDA is not actually enabled.
  <a href="https://i.sstatic.net/9QBrvAaK.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/9QBrvAaK.png" alt="enter image description here" /></a></p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2024-12-19T07:19:21.680Z
Answers.LastActivityDate: 2024-12-19T07:19:21.680Z
Answers.UserDisplayName: Alan turing
Body: <p>Now I use llama.cpp with cuda.
  And I load Meta-Llama-3.1-8B-Instruct-Q6_K.gguf from huggingface but it was not for gpu.
  So I have to rebuild it for gpu. How can I do it?</p>
  
Tags: <transformer>
Title: CUDA convert GUFF to CUDA GUFF
UserDisplayName: Spencer Walsh
ThreadText: # CUDA convert GUFF to CUDA GUFF
  
  (Asked by: username_0 on 2024-12-18)
  
  Now I use llama.cpp with cuda.
  And I load Meta-Llama-3.1-8B-Instruct-Q6\_K.gguf from huggingface but it was not for gpu.
  So I have to rebuild it for gpu. How can I do it?
  
  **Tags:** transformer
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2024-12-19. Score: 0 | Accepted answer
  
  In that case, it is possible that there is not enough VRAM, or that parameters such as n\_gpu\_layers, n\_ctx are not set appropriately. For information on settings, please refer to the following. If you try using a very small GGUF, you should be able to tell whether the problem is with VRAM or not.
  Also, even if you build with CUDA specified, there are many cases where CUDA is not actually enabled.
  [![enter image description here](https://i.sstatic.net/9QBrvAaK.png)](https://i.sstatic.net/9QBrvAaK.png)
  
  
  ---
  
  