LLamaModel Parameters

When initializing a LLamaModel object, there're three parameters, ModelParams Params, string encoding = "UTF-8", ILLamaLogger? logger = null.

The usage of logger will be further introduced in logger doc. The encoding is the encoding you want to use when dealing with text via this model.

The most improtant of all, is the ModelParams, which is defined as below. We'll explain the parameters step by step in this document.

public class ModelParams
{
    public int ContextSize { get; set; } = 512;
    public int GpuLayerCount { get; set; } = 20;
    public int Seed { get; set; } = 1686349486;
    public bool UseFp16Memory { get; set; } = true;
    public bool UseMemorymap { get; set; } = true;
    public bool UseMemoryLock { get; set; } = false;
    public bool Perplexity { get; set; } = false;
    public string ModelPath { get; set; }
    public string LoraAdapter { get; set; } = string.Empty;
    public string LoraBase { get; set; } = string.Empty;
    public int Threads { get; set; } = Math.Max(Environment.ProcessorCount / 2, 1);
    public int BatchSize { get; set; } = 512;
    public bool ConvertEosToNewLine { get; set; } = false;
}

ModelParams

Namespace: LLama.Common

public class ModelParams

Inheritance Object → ModelParams

Properties

ContextSize

Model context size (n_ctx)

public int ContextSize { get; set; }

Property Value

Int32

GpuLayerCount

Number of layers to run in VRAM / GPU memory (n_gpu_layers)

public int GpuLayerCount { get; set; }

Property Value

Int32

Seed

Seed for the random number generator (seed)

public int Seed { get; set; }

Property Value

Int32

UseFp16Memory

Use f16 instead of f32 for memory kv (memory_f16)

public bool UseFp16Memory { get; set; }

Property Value

Boolean

UseMemorymap

Use mmap for faster loads (use_mmap)

public bool UseMemorymap { get; set; }

Property Value

Boolean

UseMemoryLock

Use mlock to keep model in memory (use_mlock)

public bool UseMemoryLock { get; set; }

Property Value

Boolean

Perplexity

Compute perplexity over the prompt (perplexity)

public bool Perplexity { get; set; }

Property Value

Boolean

ModelPath

Model path (model)

public string ModelPath { get; set; }

Property Value

String

LoraAdapter

lora adapter path (lora_adapter)

public string LoraAdapter { get; set; }

Property Value

String

LoraBase

base model path for the lora adapter (lora_base)

public string LoraBase { get; set; }

Property Value

String

Threads

Number of threads (-1 = autodetect) (n_threads)

public int Threads { get; set; }

Property Value

Int32

BatchSize

batch size for prompt processing (must be >=32 to use BLAS) (n_batch)

public int BatchSize { get; set; }

Property Value

Int32

ConvertEosToNewLine

Whether to convert eos to newline during the inference.

public bool ConvertEosToNewLine { get; set; }

Property Value

Boolean

EmbeddingMode

Whether to use embedding mode. (embedding) Note that if this is set to true, The LLamaModel won't produce text response anymore.

public bool EmbeddingMode { get; set; }

Property Value

Boolean