content: # User-specific configuration; adjust according to hardware capabilities and preferences
  
  # Model selection
  # Choose between "mistral-7b-instruct" for a smaller, faster model that requires ~5GB RAM, 
  # ideal for quick processing with reduced output quality, and "mixtral-8x7b-instruct" for a 
  # larger model that requires ~25GB RAM, offering enhanced reasoning capabilities and accuracy 
  # for complex code analysis tasks. Note: Disabling memory mapping might be necessary for 
  # "mixtral-8x7b-instruct" on machines not capable of supporting the required RAM level.
  model_identifier = "mistral-7b-instruct"
  
  # Optimize performance by using memory mapping, which loads parts of the model on-demand instead of the entire model into memory. This can reduce memory usage and improve loading times (requires ~5GB RAM for the default model).
  use_mmap = true
  
  # Utilize CPU threads; set to 0 to prioritize GPU usage over CPU
  n_threads = 0
  
  # Utilize GPU layers for faster processing with a strong GPU
  n_gpu_layers = 99
  
  # Ensure deterministic model outputs by specifying a seed
  seed = 0
  
  # Toggle verbose logging of model configurations
  verbose = false
  