using LLama.Abstractions;

namespace LLama.Web.Common
{
    public class ModelOptions : IModelParams
    {
      
        public string Name { get; set; }
        public int MaxInstances { get; set; }


		/// <summary>
		/// Model context size (n_ctx)
		/// </summary>
		public int ContextSize { get; set; } = 512;
		/// <summary>
		/// the GPU that is used for scratch and small tensors
		/// </summary>
		public int MainGpu { get; set; } = 0;
		/// <summary>
		/// if true, reduce VRAM usage at the cost of performance
		/// </summary>
		public bool LowVram { get; set; } = false;
		/// <summary>
		/// Number of layers to run in VRAM / GPU memory (n_gpu_layers)
		/// </summary>
		public int GpuLayerCount { get; set; } = 20;
		/// <summary>
		/// Seed for the random number generator (seed)
		/// </summary>
		public int Seed { get; set; } = 1686349486;
		/// <summary>
		/// Use f16 instead of f32 for memory kv (memory_f16)
		/// </summary>
		public bool UseFp16Memory { get; set; } = true;
		/// <summary>
		/// Use mmap for faster loads (use_mmap)
		/// </summary>
		public bool UseMemorymap { get; set; } = true;
		/// <summary>
		/// Use mlock to keep model in memory (use_mlock)
		/// </summary>
		public bool UseMemoryLock { get; set; } = false;
		/// <summary>
		/// Compute perplexity over the prompt (perplexity)
		/// </summary>
		public bool Perplexity { get; set; } = false;
		/// <summary>
		/// Model path (model)
		/// </summary>
		public string ModelPath { get; set; }
		/// <summary>
		/// model alias
		/// </summary>
		public string ModelAlias { get; set; } = "unknown";
		/// <summary>
		/// lora adapter path (lora_adapter)
		/// </summary>
		public string LoraAdapter { get; set; } = string.Empty;
		/// <summary>
		/// base model path for the lora adapter (lora_base)
		/// </summary>
		public string LoraBase { get; set; } = string.Empty;
		/// <summary>
		/// Number of threads (-1 = autodetect) (n_threads)
		/// </summary>
		public int Threads { get; set; } = Math.Max(Environment.ProcessorCount / 2, 1);
		/// <summary>
		/// batch size for prompt processing (must be >=32 to use BLAS) (n_batch)
		/// </summary>
		public int BatchSize { get; set; } = 512;

		/// <summary>
		/// Whether to convert eos to newline during the inference.
		/// </summary>
		public bool ConvertEosToNewLine { get; set; } = false;

		/// <summary>
		/// Whether to use embedding mode. (embedding) Note that if this is set to true, 
		/// The LLamaModel won't produce text response anymore.
		/// </summary>
		public bool EmbeddingMode { get; set; } = false;

		/// <summary>
		/// how split tensors should be distributed across GPUs
		/// </summary>
		public float[] TensorSplits { get; set; }

		/// <summary>
		/// Grouped-Query Attention
		/// </summary>
		public int GroupedQueryAttention { get; set; } = 1;

		/// <summary>
		/// RMS Norm Epsilon
		/// </summary>
		public float RmsNormEpsilon { get; set; } = 5e-6f;

		/// <summary>
		/// RoPE base frequency
		/// </summary>
		public float RopeFrequencyBase { get; set; } = 10000.0f;

		/// <summary>
		/// RoPE frequency scaling factor
		/// </summary>
		public float RopeFrequencyScale { get; set; } = 1.0f;

		/// <summary>
		/// Use experimental mul_mat_q kernels
		/// </summary>
		public bool MulMatQ { get; set; }

	}
}