Merge pull request #185 from martindevans/wip_major_api_change

Major llama.cpp API Change

LLama.Examples/NewVersion/LoadAndSaveSession.cs

@@ -8,7 +8,7 @@ namespace LLama.Examples.NewVersion
         {
             Console.Write("Please input your model path: ");
             var modelPath = Console.ReadLine();
-            var prompt = File.ReadAllText("Assets/chat-with-bob.txt").Trim();
+            var prompt = (await File.ReadAllTextAsync("Assets/chat-with-bob.txt")).Trim();
 
             var parameters = new ModelParams(modelPath)
             {
@@ -50,7 +50,7 @@ namespace LLama.Examples.NewVersion
                     Console.ForegroundColor = ConsoleColor.White;
 
                     ex.Context.Dispose();
-                    ex = new(new LLamaContext(parameters));
+                    ex = new(new LLamaContext(model, parameters));
                     session = new ChatSession(ex);
                     session.LoadSession(statePath);
 

LLama.Examples/NewVersion/SemanticKernelChat.cs

@@ -1,13 +1,7 @@
-using System.Reflection.Metadata;
-using System.Security.Cryptography;
-using System.Text;
-using LLama.Abstractions;
+using System.Security.Cryptography;
 using LLama.Common;
-using Microsoft.SemanticKernel;
 using Microsoft.SemanticKernel.AI.ChatCompletion;
-using Microsoft.SemanticKernel.AI.TextCompletion;
 using LLamaSharp.SemanticKernel.ChatCompletion;
-using LLamaSharp.SemanticKernel.TextCompletion;
 
 namespace LLama.Examples.NewVersion
 {
@@ -22,7 +16,7 @@ namespace LLama.Examples.NewVersion
             // Load weights into memory
             var parameters = new ModelParams(modelPath)
             {
-                Seed = RandomNumberGenerator.GetInt32(int.MaxValue),
+                Seed = unchecked((uint)RandomNumberGenerator.GetInt32(int.MaxValue)),
             };
             using var model = LLamaWeights.LoadFromFile(parameters);
             using var context = model.CreateContext(parameters);

LLama.Examples/NewVersion/SemanticKernelMemory.cs

@@ -18,7 +18,7 @@ namespace LLama.Examples.NewVersion
             Console.Write("Please input your model path: ");
             var modelPath = Console.ReadLine();
 
-            var seed = 1337;
+            var seed = 1337u;
             // Load weights into memory
             var parameters = new ModelParams(modelPath)
             {

LLama.Examples/NewVersion/SemanticKernelPrompt.cs

@@ -18,7 +18,7 @@ namespace LLama.Examples.NewVersion
             // Load weights into memory
             var parameters = new ModelParams(modelPath)
             {
-                Seed = RandomNumberGenerator.GetInt32(int.MaxValue),
+                Seed = unchecked((uint)RandomNumberGenerator.GetInt32(int.MaxValue))
             };
             using var model = LLamaWeights.LoadFromFile(parameters);
             var ex = new StatelessExecutor(model, parameters);

LLama.Examples/NewVersion/TalkToYourself.cs

@@ -15,7 +15,7 @@ namespace LLama.Examples.NewVersion
             // Load weights into memory
             var @params = new ModelParams(modelPath)
             {
-                Seed = RandomNumberGenerator.GetInt32(int.MaxValue)
+                Seed = unchecked((uint)RandomNumberGenerator.GetInt32(int.MaxValue))
             };
             using var weights = LLamaWeights.LoadFromFile(@params);
 

LLama.Examples/Program.cs

@@ -1,4 +1,5 @@
 using LLama.Examples.NewVersion;
+using LLama.Native;
 
 Console.WriteLine("======================================================================================================");
 
@@ -7,7 +8,7 @@ Console.WriteLine(" __       __                                       ____     _
 Console.WriteLine("======================================================================================================");
 
 
-
+NativeApi.llama_empty_call();
 Console.WriteLine();
 
 await NewVersionTestRunner.Run();

LLama.Unittest/BasicTest.cs

@@ -27,36 +27,8 @@ namespace LLama.Unittest
         public void BasicModelProperties()
         {
             Assert.Equal(32000, _model.VocabCount);
-            Assert.Equal(2048, _model.ContextSize);
+            Assert.Equal(4096, _model.ContextSize);
             Assert.Equal(4096, _model.EmbeddingSize);
-            Assert.Equal(Encoding.UTF8, _model.Encoding);
-        }
-
-        [Fact]
-        public void CloneContext()
-        {
-            var original = _model.CreateContext(_params);
-
-            // Evaluate something (doesn't matter what, as long as it begins with token 1)
-            original.Eval(new[] { 1, 42, 321 }, 0);
-
-            // Clone current state
-            var clone = original.Clone();
-
-            // Now evaluate something more
-            var reply1a = original.Eval(new[] { 4, 5, 6 }, 3);
-            var reply2a = original.Eval(new[] { 7, 8, 9 }, 6);
-
-            // Assert that the context replied differently each time
-            Assert.NotEqual(reply1a, reply2a);
-
-            // Give the same prompts to the cloned state
-            var reply1b = clone.Eval(new[] { 4, 5, 6 }, 3);
-            var reply2b = clone.Eval(new[] { 7, 8, 9 }, 6);
-
-            // Assert that the cloned context replied in the same way as originally
-            Assert.Equal(reply1a, reply1b);
-            Assert.Equal(reply2a, reply2b);
         }
     }
 }

LLama.Unittest/LLamaContextTests.cs

@@ -2,7 +2,7 @@
 
 namespace LLama.Unittest
 {
-    public class LLamaContextTests
+    public sealed class LLamaContextTests
         : IDisposable
     {
         private readonly LLamaWeights _weights;
@@ -30,7 +30,6 @@ namespace LLama.Unittest
             Assert.Equal(768, _context.ContextSize);
             Assert.Equal(4096, _context.EmbeddingSize);
             Assert.Equal(32000, _context.VocabCount);
-            Assert.Equal(0, _context.KVCacheTokenCount);
         }
 
         [Fact]

LLama.Unittest/ModelsParamsTests.cs

@@ -13,7 +13,6 @@ namespace LLama.Unittest
             {
                 BatchSize = 17,
                 ContextSize = 42,
-                LoraAdapter = "adapter",
                 Seed = 42,
                 GpuLayerCount = 111
             };
@@ -31,9 +30,13 @@ namespace LLama.Unittest
             {
                 BatchSize = 17,
                 ContextSize = 42,
-                LoraAdapter = "adapter",
                 Seed = 42,
-                GpuLayerCount = 111
+                GpuLayerCount = 111,
+                LoraAdapters =
+                {
+                    new("abc", 1),
+                    new("def", 0)
+                }
             };
 
             var settings = new Newtonsoft.Json.JsonSerializerSettings();

LLama.Unittest/StatelessExecutorTest.cs

@@ -16,7 +16,7 @@ namespace LLama.Unittest
             _params = new ModelParams(Constants.ModelPath)
             {
                 ContextSize = 60,
-                Seed = 1754
+                Seed = 1754,
             };
             _weights = LLamaWeights.LoadFromFile(_params);
         }
@@ -48,13 +48,13 @@ namespace LLama.Unittest
         {
             var executor = new StatelessExecutor(_weights, _params);
 
-            const string question = " Question. why is a cat the best pet?\nAnswer: ";
+            const string question = " Question. cats or dogs?\nAnswer: ";
 
             // The context size is set to 60. Generate more than that, forcing it to generate a coherent response
             // with a modified context
             var @params = new InferenceParams()
             {
-                MaxTokens = 100,
+                MaxTokens = 65,
                 TokensKeep = question.Length,
             };
 

LLama.Unittest/TokenTests.cs

@@ -27,7 +27,7 @@ public sealed class TokenTests
     [Fact]
     public void TokensEndWith()
     {
-        var tokens = _model.NativeHandle.Tokenize("The cat sat on the edge of the mat", false, Encoding.UTF8);
+        var tokens = _model.NativeHandle.Tokenize("The cat sat on the edge of the mat", false, true, Encoding.UTF8);
 
         var result = tokens.TokensEndsWithAnyString(new[]
         {
@@ -41,7 +41,7 @@ public sealed class TokenTests
     [Fact]
     public void TokensEndSubstring()
     {
-        var tokens = _model.NativeHandle.Tokenize("The cat sat on the edge of the mat", false, Encoding.UTF8);
+        var tokens = _model.NativeHandle.Tokenize("The cat sat on the edge of the mat", false, true, Encoding.UTF8);
 
         var result = tokens.TokensEndsWithAnyString((IList<string>)new[]
         {
@@ -53,7 +53,7 @@ public sealed class TokenTests
     [Fact]
     public void TokensNotEndWith()
     {
-        var tokens = _model.NativeHandle.Tokenize("The cat sat on the edge of the mat", false, Encoding.UTF8);
+        var tokens = _model.NativeHandle.Tokenize("The cat sat on the edge of the mat", false, true, Encoding.UTF8);
 
         var result = tokens.TokensEndsWithAnyString((IList<string>)new[]
         {
@@ -67,7 +67,7 @@ public sealed class TokenTests
     [Fact]
     public void TokensNotEndWithNothing()
     {
-        var tokens = _model.NativeHandle.Tokenize("The cat sat on the edge of the mat", false, Encoding.UTF8);
+        var tokens = _model.NativeHandle.Tokenize("The cat sat on the edge of the mat", false, true, Encoding.UTF8);
 
         var result = tokens.TokensEndsWithAnyString((IList<string>)Array.Empty<string>(), _model.NativeHandle, Encoding.UTF8);
         Assert.False(result);

LLama.Web/Common/ModelOptions.cs

@@ -4,7 +4,7 @@ using LLama.Abstractions;
 namespace LLama.Web.Common
 {
     public class ModelOptions
-        : IModelParams
+        : ILLamaParams
     {
       
         public string Name { get; set; }
@@ -14,7 +14,7 @@ namespace LLama.Web.Common
 		/// <summary>
 		/// Model context size (n_ctx)
 		/// </summary>
-		public int ContextSize { get; set; } = 512;
+		public uint ContextSize { get; set; } = 512;
 		/// <summary>
 		/// the GPU that is used for scratch and small tensors
 		/// </summary>
@@ -30,7 +30,7 @@ namespace LLama.Web.Common
 		/// <summary>
 		/// Seed for the random number generator (seed)
 		/// </summary>
-		public int Seed { get; set; } = 1686349486;
+		public uint Seed { get; set; } = 1686349486;
 		/// <summary>
 		/// Use f16 instead of f32 for memory kv (memory_f16)
 		/// </summary>
@@ -51,26 +51,31 @@ namespace LLama.Web.Common
 		/// 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)
+		/// List of LoRAs to apply
 		/// </summary>
-		public int Threads { get; set; } = Math.Max(Environment.ProcessorCount / 2, 1);
+        public AdapterCollection LoraAdapters { get; set; } = new();
+
+        /// <summary>
+        /// base model path for the lora adapter (lora_base)
+        /// </summary>
+        public string LoraBase { get; set; } = string.Empty;
+
 		/// <summary>
-		/// batch size for prompt processing (must be >=32 to use BLAS) (n_batch)
+		/// Number of threads (null = autodetect) (n_threads)
 		/// </summary>
-		public int BatchSize { get; set; } = 512;
+		public uint? Threads { get; set; }
+
+        /// <summary>
+        /// Number of threads to use for batch processing (null = autodetect) (n_threads)
+        /// </summary>
+        public uint? BatchThreads { get; set; }
+
+        /// <summary>
+        /// batch size for prompt processing (must be >=32 to use BLAS) (n_batch)
+        /// </summary>
+        public uint BatchSize { get; set; } = 512;
 
 		/// <summary>
 		/// Whether to convert eos to newline during the inference.
@@ -107,5 +112,10 @@ namespace LLama.Web.Common
         /// The encoding to use for models
         /// </summary>
         public Encoding Encoding { get; set; } = Encoding.UTF8;
+
+        /// <summary>
+        /// Load vocab only (no weights)
+        /// </summary>
+        public bool VocabOnly { get; set; }
     }
 }

LLama.Web/Services/ConnectionSessionService.cs

@@ -3,7 +3,6 @@ using LLama.Web.Common;
 using LLama.Web.Models;
 using Microsoft.Extensions.Options;
 using System.Collections.Concurrent;
-using System.Drawing;
 
 namespace LLama.Web.Services
 {
@@ -50,15 +49,16 @@ namespace LLama.Web.Services
             if (modelOption.MaxInstances > -1 && currentInstances >= modelOption.MaxInstances)
                 return Task.FromResult(ServiceResult.FromError<ModelSession>("Maximum model instances reached"));
 
-            // Create model
-            var llamaModel = new LLamaContext(modelOption);
+            // Load weights
+            // todo: it would be better to have a central service which loads weights and shares them between all contexts that need them!
+            using var weights = LLamaWeights.LoadFromFile(modelOption);
 
             // Create executor
             ILLamaExecutor executor = executorType switch
             {
-                LLamaExecutorType.Interactive => new InteractiveExecutor(llamaModel),
-                LLamaExecutorType.Instruct => new InstructExecutor(llamaModel),
-                LLamaExecutorType.Stateless => new StatelessExecutor(llamaModel),
+                LLamaExecutorType.Interactive => new InteractiveExecutor(new LLamaContext(weights, modelOption)), //todo: properly dispose of LLamaContext
+                LLamaExecutorType.Instruct => new InstructExecutor(new LLamaContext(weights, modelOption)), //todo: properly dispose of LLamaContext
+                LLamaExecutorType.Stateless => new StatelessExecutor(weights, modelOption),
                 _ => default
             };
 

LLama.WebAPI/Services/StatefulChatService.cs

@@ -16,10 +16,15 @@ public class StatefulChatService : IDisposable
 
     public StatefulChatService(IConfiguration configuration)
     {
-        _context = new LLamaContext(new Common.ModelParams(configuration["ModelPath"])
+        var @params = new Common.ModelParams(configuration["ModelPath"])
         {
-            ContextSize = 512
-        });
+            ContextSize = 512,
+        };
+
+        // todo: share weights from a central service
+        using var weights = LLamaWeights.LoadFromFile(@params);
+
+        _context = new LLamaContext(weights, @params);
         _session = new ChatSession(new InteractiveExecutor(_context));
     }
 

LLama.WebAPI/Services/StatelessChatService.cs

@@ -12,10 +12,16 @@ namespace LLama.WebAPI.Services
 
         public StatelessChatService(IConfiguration configuration)
         {
-            _context = new LLamaContext(new ModelParams(configuration["ModelPath"])
+            var @params = new Common.ModelParams(configuration["ModelPath"])
             {
                 ContextSize = 512,
-            });
+            };
+
+            // todo: share weights from a central service
+            using var weights = LLamaWeights.LoadFromFile(@params);
+
+            _context = new LLamaContext(weights, @params);
+
             // TODO: replace with a stateless executor
             _session = new ChatSession(new InteractiveExecutor(_context))
                         .WithOutputTransform(new LLamaTransforms.KeywordTextOutputStreamTransform(new string[] { "User:", "Assistant:" }, redundancyLength: 8))

LLama/Abstractions/IContextParams.cs

@@ -0,0 +1,70 @@
+using System.Text;
+
+namespace LLama.Abstractions;
+
+/// <summary>
+/// The parameters for initializing a LLama context from a model.
+/// </summary>
+public interface IContextParams
+{
+    /// <summary>
+    /// Model context size (n_ctx)
+    /// </summary>
+    uint ContextSize { get; set; }
+
+    /// <summary>
+    /// batch size for prompt processing (must be >=32 to use BLAS) (n_batch)
+    /// </summary>
+    uint BatchSize { get; set; }
+
+    /// <summary>
+    /// Seed for the random number generator (seed)
+    /// </summary>
+    uint Seed { get; set; }
+
+    /// <summary>
+    /// Use f16 instead of f32 for memory kv (memory_f16)
+    /// </summary>
+    bool UseFp16Memory { get; set; }
+
+    /// <summary>
+    /// Compute perplexity over the prompt (perplexity)
+    /// </summary>
+    bool Perplexity { get; set; }
+
+    /// <summary>
+    /// Whether to use embedding mode. (embedding) Note that if this is set to true, 
+    /// The LLamaModel won't produce text response anymore.
+    /// </summary>
+    bool EmbeddingMode { get; set; }
+
+    /// <summary>
+    /// RoPE base frequency
+    /// </summary>
+    float RopeFrequencyBase { get; set; }
+
+    /// <summary>
+    /// RoPE frequency scaling factor
+    /// </summary>
+    float RopeFrequencyScale { get; set; }
+
+    /// <summary>
+    /// Use experimental mul_mat_q kernels
+    /// </summary>
+    bool MulMatQ { get; set; }
+
+    /// <summary>
+    /// The encoding to use for models
+    /// </summary>
+    Encoding Encoding { get; set; }
+
+    /// <summary>
+    /// Number of threads (null = autodetect) (n_threads)
+    /// </summary>
+    uint? Threads { get; set; }
+
+    /// <summary>
+    /// Number of threads to use for batch processing (null = autodetect) (n_threads)
+    /// </summary>
+    uint? BatchThreads { get; set; }
+}

LLama/Abstractions/IInferenceParams.cs

@@ -36,7 +36,7 @@ namespace LLama.Abstractions
 		/// </summary>
 		public int TopK { get; set; }
 
-		/// <summary>
+		/// <summary>llama_eval
 		/// 1.0 = disabled
 		/// </summary>
 		public float TopP { get; set; }

LLama/Abstractions/ILLamaParams.cs

@@ -0,0 +1,11 @@
+namespace LLama.Abstractions
+{
+    /// <summary>
+    /// Convenience interface for implementing both type of parameters.
+    /// </summary>
+    /// <remarks>Mostly exists for backwards compatibility reasons, when these two were not split.</remarks>
+    public interface ILLamaParams
+        : IModelParams, IContextParams
+    {
+    }
+}

LLama/Abstractions/IModelParams.cs

@@ -1,4 +1,6 @@
-using System.Text;
+using System;
+using System.Collections.Generic;
+using System.Linq;
 
 namespace LLama.Abstractions
 {
@@ -7,36 +9,16 @@ namespace LLama.Abstractions
     /// </summary>
     public interface IModelParams
     {
-        /// <summary>
-        /// Model context size (n_ctx)
-        /// </summary>
-        int ContextSize { get; set; }
-
         /// <summary>
         /// the GPU that is used for scratch and small tensors
         /// </summary>
         int MainGpu { get; set; }
 
-        /// <summary>
-        /// if true, reduce VRAM usage at the cost of performance
-        /// </summary>
-        bool LowVram { get; set; }
-
         /// <summary>
         /// Number of layers to run in VRAM / GPU memory (n_gpu_layers)
         /// </summary>
         int GpuLayerCount { get; set; }
 
-        /// <summary>
-        /// Seed for the random number generator (seed)
-        /// </summary>
-        int Seed { get; set; }
-
-        /// <summary>
-        /// Use f16 instead of f32 for memory kv (memory_f16)
-        /// </summary>
-        bool UseFp16Memory { get; set; }
-
         /// <summary>
         /// Use mmap for faster loads (use_mmap)
         /// </summary>
@@ -47,41 +29,15 @@ namespace LLama.Abstractions
         /// </summary>
         bool UseMemoryLock { get; set; }
 
-        /// <summary>
-        /// Compute perplexity over the prompt (perplexity)
-        /// </summary>
-        bool Perplexity { get; set; }
-
         /// <summary>
         /// Model path (model)
         /// </summary>
         string ModelPath { get; set; }
 
-        /// <summary>
-        /// lora adapter path (lora_adapter)
-        /// </summary>
-        string LoraAdapter { get; set; }
-
-        /// <summary>
-        /// base model path for the lora adapter (lora_base)
-        /// </summary>
-        string LoraBase { get; set; }
-
         /// <summary>
         /// Number of threads (-1 = autodetect) (n_threads)
         /// </summary>
-        int Threads { get; set; }
-
-        /// <summary>
-        /// batch size for prompt processing (must be >=32 to use BLAS) (n_batch)
-        /// </summary>
-        int BatchSize { get; set; }
-
-        /// <summary>
-        /// Whether to use embedding mode. (embedding) Note that if this is set to true, 
-        /// The LLamaModel won't produce text response anymore.
-        /// </summary>
-        bool EmbeddingMode { get; set; }
+        uint? Threads { get; set; }
 
         /// <summary>
         /// how split tensors should be distributed across GPUs
@@ -89,23 +45,62 @@ namespace LLama.Abstractions
         float[]? TensorSplits { get; set; }
 
         /// <summary>
-        /// RoPE base frequency
+        /// Load vocab only (no weights)
         /// </summary>
-        float RopeFrequencyBase { get; set; }
+        bool VocabOnly { get; set; }
 
         /// <summary>
-        /// RoPE frequency scaling factor
+        /// List of LoRA adapters to apply
         /// </summary>
-        float RopeFrequencyScale { get; set; }
+        AdapterCollection LoraAdapters { get; }
 
         /// <summary>
-        /// Use experimental mul_mat_q kernels
+        /// base model path for the lora adapter (lora_base)
         /// </summary>
-        bool MulMatQ { get; set; }
+        string LoraBase { get; set; }
+    }
 
-        /// <summary>
-        /// The encoding to use for models
-        /// </summary>
-        Encoding Encoding { get; set; }
+    /// <summary>
+    /// A LoRA adapter to apply to a model
+    /// </summary>
+    /// <param name="Path">Path to the LoRA file</param>
+    /// <param name="Scale">Strength of this LoRA</param>
+    public readonly record struct LoraAdapter(string Path, float Scale);
+
+    /// <summary>
+    /// A list of LoraAdapter objects
+    /// </summary>
+    public sealed class AdapterCollection
+        : List<LoraAdapter>, IEquatable<AdapterCollection>
+    {
+        /// <inheritdoc />
+        public bool Equals(AdapterCollection? other)
+        {
+            if (other == null)
+                return false;
+
+            return this.SequenceEqual(other);
+        }
+
+        /// <inheritdoc/>
+        public override bool Equals(object? obj)
+        {
+            return Equals(obj as AdapterCollection);
+        }
+
+        /// <inheritdoc/>
+        public override int GetHashCode()
+        {
+            unchecked
+            {
+                var hash = 17;
+                for (var i = 0; i < Count; i++)
+                {
+                    hash += this[i].GetHashCode();
+                    hash *= 7823;
+                }
+                return hash;
+            }
+        }
     }
 }

LLama/Common/ModelParams.cs

@@ -10,20 +10,17 @@ namespace LLama.Common
     /// The parameters for initializing a LLama model.
     /// </summary>
     public record ModelParams
-        : IModelParams
+        : ILLamaParams
     {
         /// <summary>
         /// Model context size (n_ctx)
         /// </summary>
-        public int ContextSize { get; set; } = 512;
+        public uint 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>
@@ -31,7 +28,7 @@ namespace LLama.Common
         /// <summary>
         /// Seed for the random number generator (seed)
         /// </summary>
-        public int Seed { get; set; } = 1686349486;
+        public uint Seed { get; set; } = 1686349486;
         /// <summary>
         /// Use f16 instead of f32 for memory kv (memory_f16)
         /// </summary>
@@ -52,22 +49,31 @@ namespace LLama.Common
         /// Model path (model)
         /// </summary>
         public string ModelPath { get; set; }
+
         /// <summary>
-        /// lora adapter path (lora_adapter)
+        /// List of LoRAs to apply
         /// </summary>
-        public string LoraAdapter { get; set; } = string.Empty;
+        public AdapterCollection LoraAdapters { get; set; } = new();
+
         /// <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)
+        /// Number of threads (null = autodetect) (n_threads)
         /// </summary>
-        public int Threads { get; set; } = Math.Max(Environment.ProcessorCount / 2, 1);
+        public uint? Threads { get; set; }
+
+        /// <summary>
+        /// Number of threads to use for batch processing (null = autodetect) (n_threads)
+        /// </summary>
+        public uint? BatchThreads { get; set; }
+
         /// <summary>
         /// batch size for prompt processing (must be >=32 to use BLAS) (n_batch)
         /// </summary>
-        public int BatchSize { get; set; } = 512;
+        public uint BatchSize { get; set; } = 512;
 
         /// <summary>
         /// Whether to use embedding mode. (embedding) Note that if this is set to true, 
@@ -95,6 +101,11 @@ namespace LLama.Common
 		/// </summary>
 		public bool MulMatQ { get; set; }
 
+        /// <summary>
+        /// Load vocab only (no weights)
+        /// </summary>
+        public bool VocabOnly { get; set; }
+
         /// <summary>
         /// The encoding to use to convert text for the model
         /// </summary>
@@ -138,10 +149,10 @@ namespace LLama.Common
         /// <param name="mulMatQ">Use experimental mul_mat_q kernels</param>
         /// <param name="encoding">The encoding to use to convert text for the model</param>
         [Obsolete("Use object initializer to set all optional parameters")]
-        public ModelParams(string modelPath, int contextSize = 512, int gpuLayerCount = 20,
-                           int seed = 1337, bool useFp16Memory = true,
+        public ModelParams(string modelPath, uint contextSize = 512, int gpuLayerCount = 20,
+                           uint seed = 1337, bool useFp16Memory = true,
                            bool useMemorymap = true, bool useMemoryLock = false, bool perplexity = false,
-                           string loraAdapter = "", string loraBase = "", int threads = -1, int batchSize = 512,
+                           string loraAdapter = "", string loraBase = "", int threads = -1, uint batchSize = 512,
                            bool embeddingMode = false,
                            float ropeFrequencyBase = 10000.0f, float ropeFrequencyScale = 1f, bool mulMatQ = false,
                            string encoding = "UTF-8")
@@ -154,15 +165,15 @@ namespace LLama.Common
             UseMemoryLock = useMemoryLock;
             Perplexity = perplexity;
             ModelPath = modelPath;
-            LoraAdapter = loraAdapter;
             LoraBase = loraBase;
-            Threads = threads == -1 ? Math.Max(Environment.ProcessorCount / 2, 1) : threads;
+            Threads = threads < 1 ? null : (uint)threads;
             BatchSize = batchSize;
             EmbeddingMode = embeddingMode;
             RopeFrequencyBase = ropeFrequencyBase;
             RopeFrequencyScale = ropeFrequencyScale;
             MulMatQ = mulMatQ;
             Encoding = Encoding.GetEncoding(encoding);
+            LoraAdapters.Add(new LoraAdapter(loraAdapter, 1));
         }
     }
 

LLama/Extensions/IContextParamsExtensions.cs

@@ -0,0 +1,46 @@
+using System;
+using System.IO;
+using LLama.Abstractions;
+using LLama.Native;
+
+namespace LLama.Extensions
+{
+    /// <summary>
+    /// Extention methods to the IContextParams interface
+    /// </summary>
+    public static class IContextParamsExtensions
+    {
+        /// <summary>
+        /// Convert the given `IModelParams` into a `LLamaContextParams`
+        /// </summary>
+        /// <param name="params"></param>
+        /// <param name="result"></param>
+        /// <returns></returns>
+        /// <exception cref="FileNotFoundException"></exception>
+        /// <exception cref="ArgumentException"></exception>
+        public static void ToLlamaContextParams(this IContextParams @params, out LLamaContextParams result)
+        {
+            result = NativeApi.llama_context_default_params();
+            result.n_ctx = @params.ContextSize;
+            result.n_batch = @params.BatchSize;
+            result.seed = @params.Seed;
+            result.f16_kv = @params.UseFp16Memory;
+            result.logits_all = @params.Perplexity;
+            result.embedding = @params.EmbeddingMode;
+            result.rope_freq_base = @params.RopeFrequencyBase;
+            result.rope_freq_scale = @params.RopeFrequencyScale;
+            result.mul_mat_q = @params.MulMatQ;
+
+            result.n_threads = Threads(@params.Threads);
+            result.n_threads_batch = Threads(@params.BatchThreads);
+        }
+
+        private static uint Threads(uint? value)
+        {
+            if (value is > 0)
+                return (uint)value;
+
+            return (uint)Math.Max(Environment.ProcessorCount / 2, 1);
+        }
+    }
+}

LLama/Extensions/IModelParamsExtensions.cs

@@ -12,41 +12,30 @@ namespace LLama.Extensions
     public static class IModelParamsExtensions
     {
         /// <summary>
-        /// Convert the given `IModelParams` into a `LLamaContextParams`
+        /// Convert the given `IModelParams` into a `LLamaModelParams`
         /// </summary>
         /// <param name="params"></param>
         /// <param name="result"></param>
         /// <returns></returns>
         /// <exception cref="FileNotFoundException"></exception>
         /// <exception cref="ArgumentException"></exception>
-        public static MemoryHandle ToLlamaContextParams(this IModelParams @params, out LLamaContextParams result)
+        public static MemoryHandle ToLlamaModelParams(this IModelParams @params, out LLamaModelParams result)
         {
-            if (!File.Exists(@params.ModelPath))
-                throw new FileNotFoundException($"The model file does not exist: {@params.ModelPath}");
-
             if (@params.TensorSplits != null && @params.TensorSplits.Length != 1)
                 throw new ArgumentException("Currently multi-gpu support is not supported by both llama.cpp and LLamaSharp.");
 
-            result = NativeApi.llama_context_default_params();
-            result.n_ctx = @params.ContextSize;
-            result.n_batch = @params.BatchSize;
+            result = NativeApi.llama_model_default_params();
+
             result.main_gpu = @params.MainGpu;
             result.n_gpu_layers = @params.GpuLayerCount;
-            result.seed = @params.Seed;
-            result.f16_kv = @params.UseFp16Memory;
-            result.use_mmap = @params.UseMemorymap;
             result.use_mlock = @params.UseMemoryLock;
-            result.logits_all = @params.Perplexity;
-            result.embedding = @params.EmbeddingMode;
-            result.low_vram = @params.LowVram;
-            result.rope_freq_base = @params.RopeFrequencyBase;
-            result.rope_freq_scale = @params.RopeFrequencyScale;
-            result.mul_mat_q = @params.MulMatQ;
+            result.use_mmap = @params.UseMemorymap;
+            result.vocab_only = @params.VocabOnly;
 
             var pin = @params.TensorSplits.AsMemory().Pin();
             unsafe
             {
-                result.tensor_split = (nint)pin.Pointer;
+                result.tensor_split = (float*)pin.Pointer;
             }
 
             return pin;

LLama/LLamaContext.cs

@@ -42,14 +42,9 @@ namespace LLama
         public int EmbeddingSize => _ctx.EmbeddingSize;
 
         /// <summary>
-        /// Get the number of tokens in the KV Cache for this context
+        /// The context params set for this context
         /// </summary>
-        public int KVCacheTokenCount => _ctx.KVCacheTokenCount;
-
-        /// <summary>
-        /// The model params set for this model.
-        /// </summary>
-        public IModelParams Params { get; set; }
+        public IContextParams Params { get; set; }
 
         /// <summary>
         /// The native handle, which is used to be passed to the native APIs
@@ -62,24 +57,7 @@ namespace LLama
         /// </summary>
         public Encoding Encoding => _encoding;
 
-        /// <summary>
-        /// 
-        /// </summary>
-        /// <param name="params">Model params.</param>
-        /// <param name="logger">The logger.</param>
-        [Obsolete("Use the LLamaWeights.CreateContext instead")]
-        public LLamaContext(IModelParams @params, ILogger? logger = null)
-        {
-            Params = @params;
-
-            _logger = logger;
-            _encoding = @params.Encoding;
-
-            _logger?.LogInformation($"[LLamaContext] Initializing LLama model with params: {this.Params}");
-            _ctx = Utils.InitLLamaContextFromModelParams(Params);
-        }
-
-        internal LLamaContext(SafeLLamaContextHandle nativeContext, IModelParams @params, ILogger? logger = null)
+        internal LLamaContext(SafeLLamaContextHandle nativeContext, IContextParams @params, ILogger? logger = null)
         {
             Params = @params;
 
@@ -95,7 +73,7 @@ namespace LLama
         /// <param name="params"></param>
         /// <param name="logger"></param>
         /// <exception cref="ObjectDisposedException"></exception>
-        public LLamaContext(LLamaWeights model, IModelParams @params, ILogger? logger = null)
+        public LLamaContext(LLamaWeights model, IContextParams @params, ILogger? logger = null)
         {
             if (model.NativeHandle.IsClosed)
                 throw new ObjectDisposedException("Cannot create context, model weights have been disposed");
@@ -105,30 +83,20 @@ namespace LLama
             _logger = logger;
             _encoding = @params.Encoding;
 
-            using var pin = @params.ToLlamaContextParams(out var lparams);
+            @params.ToLlamaContextParams(out var lparams);
             _ctx = SafeLLamaContextHandle.Create(model.NativeHandle, lparams);
         }
 
-        /// <summary>
-        /// Create a copy of the current state of this context
-        /// </summary>
-        /// <returns></returns>
-        public LLamaContext Clone()
-        {
-            using var pin = Params.ToLlamaContextParams(out var lparams);
-            var clone = _ctx.Clone(lparams);
-            return  new LLamaContext(clone, Params);
-        }
-
         /// <summary>
         /// Tokenize a string.
         /// </summary>
         /// <param name="text"></param>
         /// <param name="addBos">Whether to add a bos to the text.</param>
+        /// <param name="special">Allow tokenizing special and/or control tokens which otherwise are not exposed and treated as plaintext.</param>
         /// <returns></returns>
-        public llama_token[] Tokenize(string text, bool addBos = true)
+        public llama_token[] Tokenize(string text, bool addBos = true, bool special = false)
         {
-            return _ctx.Tokenize(text, addBos, _encoding);
+            return _ctx.Tokenize(text, addBos, special, _encoding);
         }
 
         /// <summary>
@@ -177,19 +145,6 @@ namespace LLama
                 fileStream.SetLength(writtenBytes);
         }
 
-        /// <summary>
-        /// Get the state data as a byte array.
-        /// </summary>
-        /// <returns></returns>
-        [Obsolete("Use `GetState` instead, this supports larger states (over 2GB)")]
-        public byte[] GetStateData()
-        {
-            var stateSize = NativeApi.llama_get_state_size(_ctx);
-            byte[] stateMemory = new byte[stateSize];
-            NativeApi.llama_copy_state_data(_ctx, stateMemory);
-            return stateMemory;
-        }
-
         /// <summary>
         /// Get the state data as an opaque handle
         /// </summary>
@@ -198,31 +153,28 @@ namespace LLama
         {
             var stateSize = _ctx.GetStateSize();
 
-            unsafe
+            // Allocate a chunk of memory large enough to hold the entire state
+            var memory = Marshal.AllocHGlobal((nint)stateSize);
+            try
             {
-                // Allocate a chunk of memory large enough to hold the entire state
-                var memory = Marshal.AllocHGlobal((nint)stateSize);
-                try
-                {
-                    // Copy the state data into memory, discover the actual size required
-                    var actualSize = _ctx.GetState(memory, stateSize);
+                // Copy the state data into memory, discover the actual size required
+                var actualSize = _ctx.GetState(memory, stateSize);
 
-                    // Shrink to size
-                    memory = Marshal.ReAllocHGlobal(memory, (nint)actualSize);
+                // Shrink to size
+                memory = Marshal.ReAllocHGlobal(memory, (nint)actualSize);
 
-                    // Wrap memory in a "state"
-                    var state = new State(memory);
+                // Wrap memory in a "state"
+                var state = new State(memory);
 
-                    // Set memory to zero, to prevent it being freed in finally block
-                    memory = IntPtr.Zero;
+                // Set memory to zero, to prevent it being freed in finally block
+                memory = IntPtr.Zero;
 
-                    return state;
-                }
-                finally
-                {
-                    if (memory != IntPtr.Zero)
-                        Marshal.FreeHGlobal(memory);
-                }
+                return state;
+            }
+            finally
+            {
+                if (memory != IntPtr.Zero)
+                    Marshal.FreeHGlobal(memory);
             }
         }
 
@@ -247,21 +199,6 @@ namespace LLama
             }
         }
 
-        /// <summary>
-        /// Load the state from memory.
-        /// </summary>
-        /// <param name="stateData"></param>
-        /// <exception cref="RuntimeError"></exception>
-        public void LoadState(byte[] stateData)
-        {
-            int stateSize = (int)NativeApi.llama_get_state_size(_ctx);
-            if (stateData.Length > stateSize)
-            {
-                throw new RuntimeError("Failed to validate state size.");
-            }
-            NativeApi.llama_set_state_data(_ctx, stateData);
-        }
-
         /// <summary>
         /// Load the state from memory.
         /// </summary>
@@ -463,15 +400,15 @@ namespace LLama
         public int Eval(ReadOnlySpan<llama_token> tokens, int pastTokensCount)
         {
             var total = tokens.Length;
-            for(var i = 0; i < total; i += Params.BatchSize)
+            for(var i = 0; i < total; i += (int)Params.BatchSize)
             {
                 var n_eval = total - i;
                 if (n_eval > Params.BatchSize)
                 {
-                    n_eval = Params.BatchSize;
+                    n_eval = (int)Params.BatchSize;
                 }
 
-                if (!_ctx.Eval(tokens.Slice(i, n_eval), pastTokensCount, Params.Threads))
+                if (!_ctx.Eval(tokens.Slice(i, n_eval), pastTokensCount))
                 {
                     _logger?.LogError($"[LLamaContext] Failed to eval.");
                     throw new RuntimeError("Failed to eval.");

LLama/LLamaEmbedder.cs

@@ -18,19 +18,22 @@ namespace LLama
         /// </summary>
         public int EmbeddingSize => _ctx.EmbeddingSize;
 
-        /// <summary>
-        /// 
-        /// </summary>
-        /// <param name="params"></param>
-        public LLamaEmbedder(IModelParams @params)
+        public LLamaEmbedder(ILLamaParams allParams)
+            : this(allParams, allParams)
         {
-            @params.EmbeddingMode = true;
-            using var weights = LLamaWeights.LoadFromFile(@params);
-            _ctx = weights.CreateContext(@params);
         }
 
-        public LLamaEmbedder(LLamaWeights weights, IModelParams @params)
+        public LLamaEmbedder(IModelParams modelParams, IContextParams contextParams)
         {
+            using var weights = LLamaWeights.LoadFromFile(modelParams);
+
+            contextParams.EmbeddingMode = true;
+            _ctx = weights.CreateContext(contextParams);
+        }
+
+        public LLamaEmbedder(LLamaWeights weights, IContextParams @params)
+        {
+            @params.EmbeddingMode = true;
             _ctx = weights.CreateContext(@params);
         }
 

LLama/LLamaStatelessExecutor.cs

@@ -7,6 +7,7 @@ using System.Runtime.CompilerServices;
 using System.Threading;
 using System.Threading.Tasks;
 using LLama.Extensions;
+using LLama.Native;
 
 namespace LLama
 {
@@ -20,7 +21,7 @@ namespace LLama
         : ILLamaExecutor
     {
         private readonly LLamaWeights _weights;
-        private readonly IModelParams _params;
+        private readonly IContextParams _params;
 
         /// <summary>
         /// The context used by the executor when running the inference.
@@ -32,7 +33,7 @@ namespace LLama
         /// </summary>
         /// <param name="weights"></param>
         /// <param name="params"></param>
-        public StatelessExecutor(LLamaWeights weights, IModelParams @params)
+        public StatelessExecutor(LLamaWeights weights, IContextParams @params)
         {
             _weights = weights;
             _params = @params;
@@ -41,20 +42,6 @@ namespace LLama
             Context.Dispose();
         }
 
-        /// <summary>
-        /// Create a new stateless executor which will use the model used to create the given context
-        /// </summary>
-        /// <param name="context"></param>
-        [Obsolete("Use the constructor which automatically creates contexts using the LLamaWeights")]
-        public StatelessExecutor(LLamaContext context)
-        {
-            _weights = new LLamaWeights(context.NativeHandle.ModelHandle, context.Params.Encoding);
-            _params = context.Params;
-
-            Context = _weights.CreateContext(_params);
-            Context.Dispose();
-        }
-
         /// <inheritdoc />
         public async IAsyncEnumerable<string> InferAsync(string text, IInferenceParams? inferenceParams = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
         {
@@ -114,15 +101,16 @@ namespace LLama
                     break;
 
                 // when run out of context
-                // based on this logic: https://github.com/ggerganov/llama.cpp/blob/master/examples/main/main.cpp#L433
-                if (n_past + tokens.Count > Context.ContextSize)
+                // based on this logic: https://github.com/ggerganov/llama.cpp/blob/master/examples/main/main.cpp#L497
+                if (n_past + tokens.Count >= Context.ContextSize)
                 {
-                    var n_left = n_past - inferenceParams.TokensKeep;
+                    var n_left = n_past - inferenceParams.TokensKeep - 1;
+                    var n_discard = n_left / 2;
 
-                    n_past = Math.Max(1, inferenceParams.TokensKeep);
+                    NativeApi.llama_kv_cache_seq_rm(Context.NativeHandle, (LLamaSeqId)0, inferenceParams.TokensKeep + 1, inferenceParams.TokensKeep + n_discard + 1);
+                    NativeApi.llama_kv_cache_seq_shift(Context.NativeHandle, (LLamaSeqId)0, inferenceParams.TokensKeep + 1 + n_discard, n_past, -n_discard);
 
-                    tokens.Clear();
-                    tokens.AddRange(lastTokens.Skip(lastTokens.Count - n_left / 2).Take(n_left / 2));
+                    n_past -= n_discard;
                 }
 
                 // ReSharper disable once AccessToModifiedClosure (Justification: n_past is modified inside and outside the capture, but not concurrently)

LLama/LLamaWeights.cs

@@ -1,5 +1,4 @@
 using System;
-using System.Text;
 using LLama.Abstractions;
 using LLama.Extensions;
 using LLama.Native;
@@ -20,11 +19,6 @@ namespace LLama
         /// <remarks>Be careful how you use this!</remarks>
         public SafeLlamaModelHandle NativeHandle => _weights;
 
-        /// <summary>
-        /// Encoding to use to convert text into bytes for the model
-        /// </summary>
-        public Encoding Encoding { get; }
-
         /// <summary>
         /// Total number of tokens in vocabulary of this model
         /// </summary>
@@ -35,15 +29,24 @@ namespace LLama
         /// </summary>
         public int ContextSize => NativeHandle.ContextSize;
 
+        /// <summary>
+        /// Get the size of this model in bytes
+        /// </summary>
+        public ulong SizeInBytes => NativeHandle.SizeInBytes;
+
+        /// <summary>
+        /// Get the number of parameters in this model
+        /// </summary>
+        public ulong ParameterCount => NativeHandle.ParameterCount;
+
         /// <summary>
         /// Dimension of embedding vectors
         /// </summary>
         public int EmbeddingSize => NativeHandle.EmbeddingSize;
 
-        internal LLamaWeights(SafeLlamaModelHandle weights, Encoding encoding)
+        internal LLamaWeights(SafeLlamaModelHandle weights)
         {
             _weights = weights;
-            Encoding = encoding;
         }
 
         /// <summary>
@@ -53,13 +56,20 @@ namespace LLama
         /// <returns></returns>
         public static LLamaWeights LoadFromFile(IModelParams @params)
         {
-            using var pin = @params.ToLlamaContextParams(out var lparams);
+            using var pin = @params.ToLlamaModelParams(out var lparams);
             var weights = SafeLlamaModelHandle.LoadFromFile(@params.ModelPath, lparams);
 
-            if (!string.IsNullOrEmpty(@params.LoraAdapter))
-                weights.ApplyLoraFromFile(@params.LoraAdapter, @params.LoraBase, @params.Threads);
+            foreach (var adapter in @params.LoraAdapters)
+            {
+                if (string.IsNullOrEmpty(adapter.Path))
+                    continue;
+                if (adapter.Scale <= 0)
+                    continue;
+
+                weights.ApplyLoraFromFile(adapter.Path, adapter.Scale, @params.LoraBase, @params.Threads);
+            }
 
-            return new LLamaWeights(weights, @params.Encoding);
+            return new LLamaWeights(weights);
         }
 
         /// <inheritdoc />
@@ -73,7 +83,7 @@ namespace LLama
         /// </summary>
         /// <param name="params"></param>
         /// <returns></returns>
-        public LLamaContext CreateContext(IModelParams @params)
+        public LLamaContext CreateContext(IContextParams @params)
         {
             return new LLamaContext(this, @params);
         }

LLama/Native/LLamaBatchSafeHandle.cs

@@ -0,0 +1,106 @@
+using System;
+
+namespace LLama.Native;
+
+using llama_token = Int32;
+
+public sealed class LLamaBatchSafeHandle
+    : SafeLLamaHandleBase
+{
+    private readonly int _embd;
+    public LLamaNativeBatch Batch { get; private set; }
+
+    /// <summary>
+    /// the token ids of the input (used when embd is NULL)
+    /// </summary>
+    public Span<llama_token> Token
+    {
+        get
+        {
+            unsafe
+            {
+                if (_embd != 0)
+                    return new Span<int>(null, 0);
+                else
+                    return new Span<int>(Batch.token, Batch.n_tokens);
+            }
+        }
+    }
+
+    /// <summary>
+    /// token embeddings (i.e. float vector of size n_embd) (used when token is NULL)
+    /// </summary>
+    public Span<llama_token> Embed
+    {
+        get
+        {
+            unsafe
+            {
+                // If embd != 0, llama_batch.embd will be allocated with size of n_tokens *embd * sizeof(float)
+                /// Otherwise, llama_batch.token will be allocated to store n_tokens llama_token
+
+                if (_embd != 0)
+                    return new Span<llama_token>(Batch.embd, Batch.n_tokens * _embd);
+                else
+                    return new Span<llama_token>(null, 0);
+            }
+        }
+    }
+
+    /// <summary>
+    /// the positions of the respective token in the sequence
+    /// </summary>
+    public Span<LLamaPos> Pos
+    {
+        get
+        {
+            unsafe
+            {
+                return new Span<LLamaPos>(Batch.pos, Batch.n_tokens);
+            }
+        }
+    }
+
+    /// <summary>
+    /// the sequence to which the respective token belongs
+    /// </summary>
+    public Span<LLamaSeqId> Sequence_ID
+    {
+        get
+        {
+            unsafe
+            {
+                return new Span<LLamaSeqId>(Batch.seq_id, Batch.n_tokens);
+            }
+        }
+    }
+
+    /// <summary>
+    /// if zero, the logits for the respective token will not be output
+    /// </summary>
+    public Span<byte> Logits
+    {
+        get
+        {
+            unsafe
+            {
+                return new Span<byte>(Batch.logits, Batch.n_tokens);
+            }
+        }
+    }
+
+    public LLamaBatchSafeHandle(int n_tokens, int embd)
+        : base((nint)1)
+    {
+        _embd = embd;
+        Batch = NativeApi.llama_batch_init(n_tokens, embd);
+    }
+
+    protected override bool ReleaseHandle()
+    {
+        NativeApi.llama_batch_free(Batch);
+        Batch = default;
+        SetHandle(IntPtr.Zero);
+        return true;
+    }
+}

LLama/Native/LLamaContextParams.cs

@@ -19,32 +19,27 @@ namespace LLama.Native
         /// <summary>
         /// RNG seed, -1 for random
         /// </summary>
-        public int seed;
+        public uint seed;
 
         /// <summary>
         /// text context
         /// </summary>
-        public int n_ctx;
+        public uint n_ctx;
 
         /// <summary>
         /// prompt processing batch size
         /// </summary>
-        public int n_batch;
+        public uint n_batch;
 
         /// <summary>
-        /// number of layers to store in VRAM
+        /// number of threads to use for generation
         /// </summary>
-        public int n_gpu_layers;
+        public uint n_threads;
 
         /// <summary>
-        /// the GPU that is used for scratch and small tensors
+        /// number of threads to use for batch processing
         /// </summary>
-        public int main_gpu;
-
-        /// <summary>
-        /// how to split layers across multiple GPUs
-        /// </summary>
-        public nint tensor_split;
+        public uint n_threads_batch;
 
         /// <summary>
         /// ref: https://github.com/ggerganov/llama.cpp/pull/2054
@@ -58,26 +53,6 @@ namespace LLama.Native
         /// </summary>
         public float rope_freq_scale; 
 
-        /// <summary>
-        /// called with a progress value between 0 and 1, pass NULL to disable
-        /// </summary>
-        public IntPtr progress_callback;
-
-        /// <summary>
-        /// context pointer passed to the progress callback
-        /// </summary>
-        public IntPtr progress_callback_user_data;
-
-        /// <summary>
-        /// if true, reduce VRAM usage at the cost of performance
-        /// </summary>
-        public bool low_vram
-        { 
-            readonly get => Convert.ToBoolean(_low_vram);
-            set => _low_vram = Convert.ToSByte(value);
-        }
-        private sbyte _low_vram;
-
         /// <summary>
         /// if true, use experimental mul_mat_q kernels
         /// </summary>
@@ -108,36 +83,6 @@ namespace LLama.Native
         }
         private sbyte _logits_all;
 
-        /// <summary>
-        /// only load the vocabulary, no weights
-        /// </summary>
-        public bool vocab_only
-        { 
-            readonly get => Convert.ToBoolean(_vocab_only);
-            set => _vocab_only = Convert.ToSByte(value);
-        }
-        private sbyte _vocab_only;
-
-        /// <summary>
-        /// use mmap if possible
-        /// </summary>
-        public bool use_mmap
-        { 
-            readonly get => Convert.ToBoolean(_use_mmap);
-            set => _use_mmap = Convert.ToSByte(value);
-        }
-        private sbyte _use_mmap;
-
-        /// <summary>
-        /// force system to keep model in RAM
-        /// </summary>
-        public bool use_mlock
-        { 
-            readonly get => Convert.ToBoolean(_use_mlock);
-            set => _use_mlock = Convert.ToSByte(value);
-        }
-        private sbyte _use_mlock;
-
         /// <summary>
         /// embedding mode only
         /// </summary>

LLama/Native/LLamaModelParams.cs

@@ -0,0 +1,67 @@
+using System;
+using System.Runtime.InteropServices;
+
+namespace LLama.Native
+{
+    /// <summary>
+    /// A C# representation of the llama.cpp `llama_model_params` struct
+    /// </summary>
+    [StructLayout(LayoutKind.Sequential)]
+    public unsafe struct LLamaModelParams
+    {
+        /// <summary>
+        /// // number of layers to store in VRAM
+        /// </summary>
+        public int n_gpu_layers;
+
+        /// <summary>
+        /// // the GPU that is used for scratch and small tensors
+        /// </summary>
+        public int main_gpu;
+
+        /// <summary>
+        /// how to split layers across multiple GPUs (size: LLAMA_MAX_DEVICES)
+        /// </summary>
+        public float* tensor_split;
+
+        /// <summary>
+        /// called with a progress value between 0 and 1, pass NULL to disable
+        /// </summary>
+        LlamaProgressCallback progress_callback;
+
+        /// <summary>
+        /// context pointer passed to the progress callback
+        /// </summary>
+        void* progress_callback_user_data;
+
+        /// <summary>
+        /// only load the vocabulary, no weights
+        /// </summary>
+        public bool vocab_only
+        {
+            readonly get => Convert.ToBoolean(_vocab_only);
+            set => _vocab_only = Convert.ToSByte(value);
+        }
+        private sbyte _vocab_only;
+
+        /// <summary>
+        /// use mmap if possible
+        /// </summary>
+        public bool use_mmap
+        {
+            readonly get => Convert.ToBoolean(_use_mmap);
+            set => _use_mmap = Convert.ToSByte(value);
+        }
+        private sbyte _use_mmap;
+
+        /// <summary>
+        /// force system to keep model in RAM
+        /// </summary>
+        public bool use_mlock
+        {
+            readonly get => Convert.ToBoolean(_use_mlock);
+            set => _use_mlock = Convert.ToSByte(value);
+        }
+        private sbyte _use_mlock;
+    }
+}

LLama/Native/LLamaModelQuantizeParams.cs

@@ -36,5 +36,15 @@ namespace LLama.Native
             set => _quantize_output_tensor = Convert.ToSByte(value);
         }
         private sbyte _quantize_output_tensor;
+
+        /// <summary>
+        /// only copy tensors - ftype, allow_requantize and quantize_output_tensor are ignored
+        /// </summary>
+        public bool only_copy
+        {
+            get => Convert.ToBoolean(_only_copy);
+            set => _only_copy = Convert.ToSByte(value);
+        }
+        private sbyte _only_copy;
     }
 }

LLama/Native/LLamaNativeBatch.cs

@@ -0,0 +1,45 @@
+using System;
+using System.Runtime.InteropServices;
+
+namespace LLama.Native;
+
+using llama_token = Int32;
+
+/// <summary>
+/// Input data for llama_decode
+/// A llama_batch object can contain input about one or many sequences
+/// The provided arrays (i.e. token, embd, pos, etc.) must have size of n_tokens
+/// </summary>
+[StructLayout(LayoutKind.Sequential)]
+public readonly unsafe struct LLamaNativeBatch
+{
+    /// <summary>
+    /// The number of items pointed at by pos, seq_id and logits.
+    /// </summary>
+    public readonly int n_tokens;
+
+    /// <summary>
+    /// Either `n_tokens` of `llama_token`, or `NULL`, depending on how this batch was created
+    /// </summary>
+    public readonly llama_token* token;
+
+    /// <summary>
+    /// Either `n_tokens * embd * sizeof(float)` or `NULL`, depending on how this batch was created
+    /// </summary>
+    public readonly float* embd;
+
+    /// <summary>
+    /// the positions of the respective token in the sequence
+    /// </summary>
+    public readonly LLamaPos* pos;
+
+    /// <summary>
+    /// the sequence to which the respective token belongs
+    /// </summary>
+    public readonly LLamaSeqId* seq_id;
+
+    /// <summary>
+    /// if zero, the logits for the respective token will not be output
+    /// </summary>
+    public readonly byte* logits;
+}

LLama/Native/LLamaPos.cs

@@ -0,0 +1,15 @@
+namespace LLama.Native;
+
+public record struct LLamaPos
+{
+    public int Value;
+
+    public LLamaPos(int value)
+    {
+        Value = value;
+    }
+
+    public static explicit operator int(LLamaPos pos) => pos.Value;
+
+    public static implicit operator LLamaPos(int value) => new(value);
+}

LLama/Native/LLamaSeqId.cs

@@ -0,0 +1,15 @@
+namespace LLama.Native;
+
+public record struct LLamaSeqId
+{
+    public int Value;
+
+    public LLamaSeqId(int value)
+    {
+        Value = value;
+    }
+
+    public static explicit operator int(LLamaSeqId pos) => pos.Value;
+
+    public static explicit operator LLamaSeqId(int value) => new(value);
+}

LLama/Native/NativeApi.cs

@@ -2,7 +2,6 @@
 using System.Buffers;
 using System.Runtime.InteropServices;
 using System.Text;
-using LLama.Common;
 using LLama.Exceptions;
 
 #pragma warning disable IDE1006 // Naming Styles
@@ -110,6 +109,13 @@ namespace LLama.Native
         [DllImport(libraryName, EntryPoint = "llama_mmap_supported", CallingConvention = CallingConvention.Cdecl)]
         public static extern bool llama_empty_call();
 
+        /// <summary>
+        /// Create a LLamaModelParams with default values
+        /// </summary>
+        /// <returns></returns>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern LLamaModelParams llama_model_default_params();
+
         /// <summary>
         /// Create a LLamaContextParams with default values
         /// </summary>
@@ -138,18 +144,6 @@ namespace LLama.Native
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
         public static extern bool llama_mlock_supported();
 
-        /// <summary>
-        /// Export a static computation graph for context of 511 and batch size of 1
-        /// NOTE: since this functionality is mostly for debugging and demonstration purposes, we hardcode these
-        ///       parameters here to keep things simple
-        /// IMPORTANT: do not use for anything else other than debugging and testing!
-        /// </summary>
-        /// <param name="ctx"></param>
-        /// <param name="fname"></param>
-        /// <returns></returns>
-        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_eval_export(SafeLLamaContextHandle ctx, string fname);
-
         /// <summary>
         /// Various functions for loading a ggml llama model.
         /// Allocate (almost) all memory needed for the model.
@@ -159,7 +153,7 @@ namespace LLama.Native
         /// <param name="params"></param>
         /// <returns></returns>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern IntPtr llama_load_model_from_file(string path_model, LLamaContextParams @params);
+        public static extern IntPtr llama_load_model_from_file(string path_model, LLamaModelParams @params);
 
         /// <summary>
         /// Create a new llama_context with the given model.
@@ -192,7 +186,7 @@ namespace LLama.Native
         /// <param name="model"></param>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
         public static extern void llama_free_model(IntPtr model);
-        
+
         /// <summary>
         /// Apply a LoRA adapter to a loaded model
         /// path_base_model is the path to a higher quality model to use as a base for
@@ -202,19 +196,12 @@ namespace LLama.Native
         /// </summary>
         /// <param name="model_ptr"></param>
         /// <param name="path_lora"></param>
+        /// <param name="scale"></param>
         /// <param name="path_base_model"></param>
         /// <param name="n_threads"></param>
         /// <returns>Returns 0 on success</returns>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_model_apply_lora_from_file(SafeLlamaModelHandle model_ptr, string path_lora, string? path_base_model, int n_threads);
-
-        /// <summary>
-        /// Returns the number of tokens in the KV cache
-        /// </summary>
-        /// <param name="ctx"></param>
-        /// <returns></returns>
-        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_get_kv_cache_token_count(SafeLLamaContextHandle ctx);
+        public static extern int llama_model_apply_lora_from_file(SafeLlamaModelHandle model_ptr, string path_lora, float scale, string? path_base_model, int n_threads);
 
         /// <summary>
         /// Sets the current rng seed.
@@ -222,7 +209,7 @@ namespace LLama.Native
         /// <param name="ctx"></param>
         /// <param name="seed"></param>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern void llama_set_rng_seed(SafeLLamaContextHandle ctx, int seed);
+        public static extern void llama_set_rng_seed(SafeLLamaContextHandle ctx, uint seed);
 
         /// <summary>
         /// Returns the maximum size in bytes of the state (rng, logits, embedding
@@ -243,21 +230,6 @@ namespace LLama.Native
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
         public static extern ulong llama_copy_state_data(SafeLLamaContextHandle ctx, byte* dest);
 
-        /// <summary>
-        /// Copies the state to the specified destination address.
-        /// Destination needs to have allocated enough memory (see llama_get_state_size)
-        /// </summary>
-        /// <param name="ctx"></param>
-        /// <param name="dest"></param>
-        /// <returns>the number of bytes copied</returns>
-        public static ulong llama_copy_state_data(SafeLLamaContextHandle ctx, byte[] dest)
-        {
-            fixed (byte* dstPtr = &dest[0])
-            {
-                return llama_copy_state_data(ctx, dstPtr);
-            }
-        }
-
         /// <summary>
         /// Set the state reading from the specified address
         /// </summary>
@@ -267,20 +239,6 @@ namespace LLama.Native
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
         public static extern ulong llama_set_state_data(SafeLLamaContextHandle ctx, byte* src);
 
-        /// <summary>
-        /// Set the state reading from the specified address
-        /// </summary>
-        /// <param name="ctx"></param>
-        /// <param name="src"></param>
-        /// <returns>the number of bytes read</returns>
-        public static ulong llama_set_state_data(SafeLLamaContextHandle ctx, byte[] src)
-        {
-            fixed (byte* srcPtr = &src[0])
-            {
-                return llama_set_state_data(ctx, srcPtr);
-            }
-        }
-
         /// <summary>
         /// Load session file
         /// </summary>
@@ -313,24 +271,9 @@ namespace LLama.Native
         /// <param name="tokens"></param>
         /// <param name="n_tokens"></param>
         /// <param name="n_past"></param>
-        /// <param name="n_threads"></param>
         /// <returns>Returns 0 on success</returns>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_eval(SafeLLamaContextHandle ctx, llama_token[] tokens, int n_tokens, int n_past, int n_threads);
-
-        /// <summary>
-        /// Run the llama inference to obtain the logits and probabilities for the next token.
-        /// tokens + n_tokens is the provided batch of new tokens to process
-        /// n_past is the number of tokens to use from previous eval calls
-        /// </summary>
-        /// <param name="ctx"></param>
-        /// <param name="tokens"></param>
-        /// <param name="n_tokens"></param>
-        /// <param name="n_past"></param>
-        /// <param name="n_threads"></param>
-        /// <returns>Returns 0 on success</returns>
-        [DllImport(libraryName, EntryPoint = "llama_eval", CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_eval_with_pointer(SafeLLamaContextHandle ctx, llama_token* tokens, int n_tokens, int n_past, int n_threads);
+        public static extern int llama_eval(SafeLLamaContextHandle ctx, llama_token* tokens, int n_tokens, int n_past);
 
         /// <summary>
         /// Convert the provided text into tokens.
@@ -341,10 +284,11 @@ namespace LLama.Native
         /// <param name="tokens"></param>
         /// <param name="n_max_tokens"></param>
         /// <param name="add_bos"></param>
+        /// <param name="special">Allow tokenizing special and/or control tokens which otherwise are not exposed and treated as plaintext. Does not insert a leading space.</param>
         /// <returns>Returns the number of tokens on success, no more than n_max_tokens.
         /// Returns a negative number on failure - the number of tokens that would have been returned
         /// </returns>
-        public static int llama_tokenize(SafeLLamaContextHandle ctx, string text, Encoding encoding, llama_token[] tokens, int n_max_tokens, bool add_bos)
+        public static int llama_tokenize(SafeLLamaContextHandle ctx, string text, Encoding encoding, llama_token[] tokens, int n_max_tokens, bool add_bos, bool special)
         {
             // Calculate number of bytes in text and borrow an array that large (+1 for nul byte)
             var byteCount = encoding.GetByteCount(text);
@@ -364,7 +308,7 @@ namespace LLama.Native
                 // Do the actual tokenization
                 fixed (byte* arrayPtr = array)
                 fixed (llama_token* tokensPtr = tokens)
-                    return llama_tokenize_native(ctx, arrayPtr, tokensPtr, n_max_tokens, add_bos);
+                    return llama_tokenize(ctx.ModelHandle, arrayPtr, byteCount, tokensPtr, n_max_tokens, add_bos, special);
             }
             finally
             {
@@ -372,28 +316,6 @@ namespace LLama.Native
             }
         }
 
-        /// <summary>
-        /// Convert the provided text into tokens.
-        /// </summary>
-        /// <param name="ctx"></param>
-        /// <param name="text"></param>
-        /// <param name="tokens"></param>
-        /// <param name="n_max_tokens"></param>
-        /// <param name="add_bos"></param>
-        /// <returns>Returns the number of tokens on success, no more than n_max_tokens.
-        /// Returns a negative number on failure - the number of tokens that would have been returned
-        /// </returns>
-        [DllImport(libraryName, EntryPoint = "llama_tokenize", CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_tokenize_native(SafeLLamaContextHandle ctx, byte* text, llama_token* tokens, int n_max_tokens, bool add_bos);
-
-        /// <summary>
-        /// Get the number of tokens in the model vocabulary for this context
-        /// </summary>
-        /// <param name="ctx"></param>
-        /// <returns></returns>
-        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_n_vocab(SafeLLamaContextHandle ctx);
-
         /// <summary>
         /// Get the size of the context window for the model for this context
         /// </summary>
@@ -402,14 +324,6 @@ namespace LLama.Native
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
         public static extern int llama_n_ctx(SafeLLamaContextHandle ctx);
 
-        /// <summary>
-        /// Get the dimension of embedding vectors from the model for this context
-        /// </summary>
-        /// <param name="ctx"></param>
-        /// <returns></returns>
-        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_n_embd(SafeLLamaContextHandle ctx);
-
         /// <summary>
         /// Token logits obtained from the last call to llama_eval()
         /// The logits for the last token are stored in the last row
@@ -423,22 +337,21 @@ namespace LLama.Native
         public static extern float* llama_get_logits(SafeLLamaContextHandle ctx);
 
         /// <summary>
-        /// Get the embeddings for the input
-        /// shape: [n_embd] (1-dimensional)
+        /// Logits for the ith token. Equivalent to: llama_get_logits(ctx) + i*n_vocab
         /// </summary>
         /// <param name="ctx"></param>
         /// <returns></returns>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern float* llama_get_embeddings(SafeLLamaContextHandle ctx);
+        public static extern float* llama_get_logits_ith(SafeLLamaContextHandle ctx);
 
         /// <summary>
-        /// Token Id -> String. Uses the vocabulary in the provided context
+        /// Get the embeddings for the input
+        /// shape: [n_embd] (1-dimensional)
         /// </summary>
         /// <param name="ctx"></param>
-        /// <param name="token"></param>
-        /// <returns>Pointer to a string.</returns>
+        /// <returns></returns>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern IntPtr llama_token_to_str(SafeLLamaContextHandle ctx, llama_token token);
+        public static extern float* llama_get_embeddings(SafeLLamaContextHandle ctx);
 
         /// <summary>
         /// Get the "Beginning of sentence" token
@@ -488,7 +401,7 @@ namespace LLama.Native
         /// <param name="model"></param>
         /// <returns></returns>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_model_n_vocab(SafeLlamaModelHandle model);
+        public static extern int llama_n_vocab(SafeLlamaModelHandle model);
 
         /// <summary>
         /// Get the size of the context window for the model
@@ -496,7 +409,7 @@ namespace LLama.Native
         /// <param name="model"></param>
         /// <returns></returns>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_model_n_ctx(SafeLlamaModelHandle model);
+        public static extern int llama_n_ctx_train(SafeLlamaModelHandle model);
 
         /// <summary>
         /// Get the dimension of embedding vectors from this model
@@ -504,7 +417,23 @@ namespace LLama.Native
         /// <param name="model"></param>
         /// <returns></returns>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_model_n_embd(SafeLlamaModelHandle model);
+        public static extern int llama_n_embd(SafeLlamaModelHandle model);
+
+        /// <summary>
+        /// Get the size of the model in bytes
+        /// </summary>
+        /// <param name="model"></param>
+        /// <returns></returns>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern ulong llama_model_size(SafeLlamaModelHandle model);
+
+        /// <summary>
+        /// Get the number of parameters in this model
+        /// </summary>
+        /// <param name="model"></param>
+        /// <returns></returns>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern ulong llama_model_n_params(SafeLlamaModelHandle model);
 
         /// <summary>
         /// Convert a single token into text
@@ -515,21 +444,23 @@ namespace LLama.Native
         /// <param name="length">size of the buffer</param>
         /// <returns>The length writte, or if the buffer is too small a negative that indicates the length required</returns>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_token_to_piece_with_model(SafeLlamaModelHandle model, int llamaToken, byte* buffer, int length);
+        public static extern int llama_token_to_piece(SafeLlamaModelHandle model, int llamaToken, byte* buffer, int length);
 
         /// <summary>
         /// Convert text into tokens
         /// </summary>
         /// <param name="model"></param>
         /// <param name="text"></param>
+        /// <param name="text_len"></param>
         /// <param name="tokens"></param>
         /// <param name="n_max_tokens"></param>
         /// <param name="add_bos"></param>
+        /// <param name="special">Allow tokenizing special and/or control tokens which otherwise are not exposed and treated as plaintext. Does not insert a leading space.</param>
         /// <returns>Returns the number of tokens on success, no more than n_max_tokens.
         /// Returns a negative number on failure - the number of tokens that would have been returned
         /// </returns>
         [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
-        public static extern int llama_tokenize_with_model(SafeLlamaModelHandle model, byte* text, int* tokens, int n_max_tokens, bool add_bos);
+        public static extern int llama_tokenize(SafeLlamaModelHandle model, byte* text, int text_len, int* tokens, int n_max_tokens, bool add_bos, bool special);
 
         /// <summary>
         /// Register a callback to receive llama log messages
@@ -537,5 +468,98 @@ namespace LLama.Native
         /// <param name="logCallback"></param>
 		[DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
 		public static extern void llama_log_set(LLamaLogCallback logCallback);
-	}
+
+        /// <summary>
+        /// Remove all tokens data of cells in [c0, c1)
+        /// </summary>
+        /// <param name="ctx"></param>
+        /// <param name="c0"></param>
+        /// <param name="c1"></param>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern void llama_kv_cache_tokens_rm(SafeLLamaContextHandle ctx, int c0, int c1);
+
+        /// <summary>
+        /// Removes all tokens that belong to the specified sequence and have positions in [p0, p1)
+        /// </summary>
+        /// <param name="ctx"></param>
+        /// <param name="seq"></param>
+        /// <param name="p0"></param>
+        /// <param name="p1"></param>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern void llama_kv_cache_seq_rm(SafeLLamaContextHandle ctx, LLamaSeqId seq, LLamaPos p0, LLamaPos p1);
+
+        /// <summary>
+        /// Copy all tokens that belong to the specified sequence to another sequence
+        /// Note that this does not allocate extra KV cache memory - it simply assigns the tokens to the new sequence
+        /// </summary>
+        /// <param name="ctx"></param>
+        /// <param name="src"></param>
+        /// <param name="dest"></param>
+        /// <param name="p0"></param>
+        /// <param name="p1"></param>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern void llama_kv_cache_seq_cp(SafeLLamaContextHandle ctx, LLamaSeqId src, LLamaSeqId dest, LLamaPos p0, LLamaPos p1);
+
+        /// <summary>
+        /// Removes all tokens that do not belong to the specified sequence
+        /// </summary>
+        /// <param name="ctx"></param>
+        /// <param name="seq"></param>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern void llama_kv_cache_seq_keep(SafeLLamaContextHandle ctx, LLamaSeqId seq);
+
+        /// <summary>
+        /// Adds relative position "delta" to all tokens that belong to the specified sequence and have positions in [p0, p1)
+        /// If the KV cache is RoPEd, the KV data is updated accordingly
+        /// </summary>
+        /// <param name="ctx"></param>
+        /// <param name="seq"></param>
+        /// <param name="p0"></param>
+        /// <param name="p1"></param>
+        /// <param name="delta"></param>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern void llama_kv_cache_seq_shift(SafeLLamaContextHandle ctx, LLamaSeqId seq, LLamaPos p0, LLamaPos p1, LLamaPos delta);
+
+        /// <summary>
+        /// Allocates a batch of tokens on the heap
+        /// The batch has to be freed with llama_batch_free()
+        /// If embd != 0, llama_batch.embd will be allocated with size of n_tokens * embd * sizeof(float)
+        /// Otherwise, llama_batch.token will be allocated to store n_tokens llama_token
+        /// The rest of the llama_batch members are allocated with size n_tokens
+        /// All members are left uninitialized
+        /// </summary>
+        /// <param name="n_tokens"></param>
+        /// <param name="embd"></param>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern LLamaNativeBatch llama_batch_init(int n_tokens, int embd);
+
+        /// <summary>
+        /// Frees a batch of tokens allocated with llama_batch_init()
+        /// </summary>
+        /// <param name="batch"></param>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern void llama_batch_free(LLamaNativeBatch batch);
+
+        /// <summary>
+        /// </summary>
+        /// <param name="ctx"></param>
+        /// <param name="batch"></param>
+        /// <returns>Positive return values does not mean a fatal error, but rather a warning:<br />
+        ///  - 0: success<br />
+        ///  - 1: could not find a KV slot for the batch (try reducing the size of the batch or increase the context)<br />
+        ///  - &lt; 0: error<br />
+        /// </returns>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern int llama_decode(SafeLLamaContextHandle ctx, LLamaNativeBatch batch);
+
+        /// <summary>
+        /// Set the number of threads used for decoding
+        /// </summary>
+        /// <param name="ctx"></param>
+        /// <param name="n_threads">n_threads is the number of threads used for generation (single token)</param>
+        /// <param name="n_threads_batch">n_threads_batch is the number of threads used for prompt and batch processing (multiple tokens)</param>
+        /// <returns></returns>
+        [DllImport(libraryName, CallingConvention = CallingConvention.Cdecl)]
+        public static extern int llama_set_n_threads(SafeLLamaContextHandle ctx, uint n_threads, uint n_threads_batch);
+    }
 }

LLama/Native/SafeLLamaContextHandle.cs

@@ -1,5 +1,6 @@
 using System;
 using System.Buffers;
+using System.Runtime.CompilerServices;
 using System.Runtime.InteropServices;
 using System.Text;
 using LLama.Exceptions;
@@ -21,26 +22,13 @@ namespace LLama.Native
         /// <summary>
         /// Total number of tokens in the context
         /// </summary>
-        public int ContextSize => ThrowIfDisposed().ContextSize;
+        public int ContextSize => NativeApi.llama_n_ctx(this);
 
         /// <summary>
         /// Dimension of embedding vectors
         /// </summary>
         public int EmbeddingSize => ThrowIfDisposed().EmbeddingSize;
 
-        /// <summary>
-        /// Get the number of tokens in the KV Cache for this context
-        /// </summary>
-        public int KVCacheTokenCount
-        {
-            get
-            {
-                if (IsClosed)
-                    throw new ObjectDisposedException("Cannot use this `SafeLLamaContextHandle` - it has been disposed");
-                return NativeApi.llama_get_kv_cache_token_count(this);
-            }
-        }
-
         /// <summary>
         /// Get the model which this context is using
         /// </summary>
@@ -64,17 +52,20 @@ namespace LLama.Native
             _model.DangerousAddRef(ref success);
             if (!success)
                 throw new RuntimeError("Failed to increment model refcount");
+
+            
         }
 
         /// <inheritdoc />
         protected override bool ReleaseHandle()
         {
+            NativeApi.llama_free(DangerousGetHandle());
+            SetHandle(IntPtr.Zero);
+
             // Decrement refcount on model
             _model?.DangerousRelease();
             _model = null!;
 
-            NativeApi.llama_free(handle);
-            SetHandle(IntPtr.Zero);
             return true;
         }
 
@@ -103,46 +94,38 @@ namespace LLama.Native
 
             return new(ctx_ptr, model);
         }
+        #endregion
 
         /// <summary>
-        /// Create a new llama context with a clone of the current llama context state
+        /// Token logits obtained from the last call to llama_eval()
+        /// The logits for the last token are stored in the last row
+        /// Can be mutated in order to change the probabilities of the next token.<br />
+        /// Rows: n_tokens<br />
+        /// Cols: n_vocab
         /// </summary>
-        /// <param name="lparams"></param>
         /// <returns></returns>
-        public SafeLLamaContextHandle Clone(LLamaContextParams lparams)
+        public Span<float> GetLogits()
         {
-            // Allocate space to read the state of the current context
-            var stateSize = GetStateSize();
-            var stateMemory = Marshal.AllocHGlobal((nint)stateSize);
-            try
-            {
-                // Copy state from this context into memory
-                GetState(stateMemory, stateSize);
-
-                // Create a new context
-                var newCtx = Create(ModelHandle, lparams);
-
-                // Copy state into new context
-                newCtx.SetState(stateMemory);
+            var model = ThrowIfDisposed();
 
-                return newCtx;
-            }
-            finally
+            unsafe
             {
-                Marshal.FreeHGlobal(stateMemory);
+                var logits = NativeApi.llama_get_logits(this);
+                return new Span<float>(logits, model.VocabCount);
             }
         }
-        #endregion
 
+        #region tokens
         /// <summary>
         /// Convert the given text into tokens
         /// </summary>
         /// <param name="text">The text to tokenize</param>
         /// <param name="add_bos">Whether the "BOS" token should be added</param>
         /// <param name="encoding">Encoding to use for the text</param>
+        /// <param name="special">Allow tokenizing special and/or control tokens which otherwise are not exposed and treated as plaintext.</param>
         /// <returns></returns>
         /// <exception cref="RuntimeError"></exception>
-        public int[] Tokenize(string text, bool add_bos, Encoding encoding)
+        public int[] Tokenize(string text, bool add_bos, bool special, Encoding encoding)
         {
             ThrowIfDisposed();
 
@@ -158,7 +141,7 @@ namespace LLama.Native
             try
             {
                 // Do the actual conversion
-                var n = NativeApi.llama_tokenize(this, text, encoding, temporaryArray, count, add_bos);
+                var n = NativeApi.llama_tokenize(this, text, encoding, temporaryArray, count, add_bos, special);
                 if (n < 0)
                 {
                     throw new RuntimeError("Error happened during tokenization. It's possibly caused by wrong encoding. Please try to " +
@@ -177,25 +160,6 @@ namespace LLama.Native
             }
         }
 
-        /// <summary>
-        /// Token logits obtained from the last call to llama_eval()
-        /// The logits for the last token are stored in the last row
-        /// Can be mutated in order to change the probabilities of the next token.<br />
-        /// Rows: n_tokens<br />
-        /// Cols: n_vocab
-        /// </summary>
-        /// <returns></returns>
-        public Span<float> GetLogits()
-        {
-            var model = ThrowIfDisposed();
-
-            unsafe
-            {
-                var logits = NativeApi.llama_get_logits(this);
-                return new Span<float>(logits, model.VocabCount);
-            }
-        }
-
         /// <summary>
         /// Convert a token into a string
         /// </summary>
@@ -228,25 +192,31 @@ namespace LLama.Native
         {
             return ThrowIfDisposed().TokenToSpan(token, dest);
         }
+        #endregion
 
         /// <summary>
         /// Run the llama inference to obtain the logits and probabilities for the next token.
         /// </summary>
         /// <param name="tokens">The provided batch of new tokens to process</param>
         /// <param name="n_past">the number of tokens to use from previous eval calls</param>
-        /// <param name="n_threads"></param>
         /// <returns>Returns true on success</returns>
-        public bool Eval(ReadOnlySpan<int> tokens, int n_past, int n_threads)
+        public bool Eval(ReadOnlySpan<int> tokens, int n_past)
         {
             unsafe
             {
                 fixed (int* pinned = tokens)
                 {
-                    return NativeApi.llama_eval_with_pointer(this, pinned, tokens.Length, n_past, n_threads) == 0;
+                    var ret = NativeApi.llama_eval(this, pinned, tokens.Length, n_past);
+                    return ret == 0;
                 }
             }
         }
 
+        public int Decode(LLamaBatchSafeHandle batch)
+        {
+            return NativeApi.llama_decode(this, batch.Batch);
+        }
+
         #region state
         /// <summary>
         /// Get the size of the state, when saved as bytes

LLama/Native/SafeLlamaModelHandle.cs

@@ -29,18 +29,30 @@ namespace LLama.Native
         /// </summary>
         public int EmbeddingSize { get; }
 
+        /// <summary>
+        /// Get the size of this model in bytes
+        /// </summary>
+        public ulong SizeInBytes { get; }
+
+        /// <summary>
+        /// Get the number of parameters in this model
+        /// </summary>
+        public ulong ParameterCount { get; }
+
         internal SafeLlamaModelHandle(IntPtr handle)
             : base(handle)
         {
-            VocabCount = NativeApi.llama_model_n_vocab(this);
-            ContextSize = NativeApi.llama_model_n_ctx(this);
-            EmbeddingSize = NativeApi.llama_model_n_embd(this);
+            VocabCount = NativeApi.llama_n_vocab(this);
+            ContextSize = NativeApi.llama_n_ctx_train(this);
+            EmbeddingSize = NativeApi.llama_n_embd(this);
+            SizeInBytes = NativeApi.llama_model_size(this);
+            ParameterCount = NativeApi.llama_model_n_params(this);
         }
 
         /// <inheritdoc />
         protected override bool ReleaseHandle()
         {
-            NativeApi.llama_free_model(handle);
+            NativeApi.llama_free_model(DangerousGetHandle());
             SetHandle(IntPtr.Zero);
             return true;
         }
@@ -52,7 +64,7 @@ namespace LLama.Native
         /// <param name="lparams"></param>
         /// <returns></returns>
         /// <exception cref="RuntimeError"></exception>
-        public static SafeLlamaModelHandle LoadFromFile(string modelPath, LLamaContextParams lparams)
+        public static SafeLlamaModelHandle LoadFromFile(string modelPath, LLamaModelParams lparams)
         {
             var model_ptr = NativeApi.llama_load_model_from_file(modelPath, lparams);
             if (model_ptr == IntPtr.Zero)
@@ -62,21 +74,24 @@ namespace LLama.Native
         }
 
         #region LoRA
+
         /// <summary>
         /// Apply a LoRA adapter to a loaded model
         /// </summary>
         /// <param name="lora"></param>
+        /// <param name="scale"></param>
         /// <param name="modelBase">A path to a higher quality model to use as a base for the layers modified by the
         /// adapter. Can be NULL to use the current loaded model.</param>
         /// <param name="threads"></param>
         /// <exception cref="RuntimeError"></exception>
-        public void ApplyLoraFromFile(string lora, string? modelBase = null, int threads = -1)
+        public void ApplyLoraFromFile(string lora, float scale, string? modelBase = null, uint? threads = null)
         {
             var err = NativeApi.llama_model_apply_lora_from_file(
                 this,
                 lora,
+                scale,
                 string.IsNullOrEmpty(modelBase) ? null : modelBase,
-                threads
+                (int?)threads ?? -1
             );
 
             if (err != 0)
@@ -97,7 +112,7 @@ namespace LLama.Native
             {
                 fixed (byte* destPtr = dest)
                 {
-                    var length = NativeApi.llama_token_to_piece_with_model(this, llama_token, destPtr, dest.Length);
+                    var length = NativeApi.llama_token_to_piece(this, llama_token, destPtr, dest.Length);
                     return Math.Abs(length);
                 }
             }
@@ -113,7 +128,7 @@ namespace LLama.Native
         {
             unsafe
             {
-                var length = NativeApi.llama_token_to_piece_with_model(this, llama_token, null, 0);
+                var length = NativeApi.llama_token_to_piece(this, llama_token, null, 0);
                 if (length == 0)
                     return "";
 
@@ -121,7 +136,7 @@ namespace LLama.Native
 
                 fixed (byte* bytePtr = bytes)
                 {
-                    var written = NativeApi.llama_token_to_piece_with_model(this, llama_token, bytePtr, bytes.Length);
+                    var written = NativeApi.llama_token_to_piece(this, llama_token, bytePtr, bytes.Length);
                     Debug.Assert(written == bytes.Length);
 
                     return encoding.GetString(bytePtr, bytes.Length);
@@ -139,7 +154,7 @@ namespace LLama.Native
         {
             unsafe
             {
-                var length = NativeApi.llama_token_to_piece_with_model(this, llama_token, null, 0);
+                var length = NativeApi.llama_token_to_piece(this, llama_token, null, 0);
                 if (length == 0)
                     return;
 
@@ -147,7 +162,7 @@ namespace LLama.Native
                 fixed (byte* bytePtr = bytes)
                 {
                     // Decode into bytes
-                    var written = NativeApi.llama_token_to_piece_with_model(this, llama_token, bytePtr, bytes.Length);
+                    var written = NativeApi.llama_token_to_piece(this, llama_token, bytePtr, bytes.Length);
                     Debug.Assert(written == bytes.Length);
 
                     // Decode into chars
@@ -256,8 +271,9 @@ namespace LLama.Native
         /// <param name="text"></param>
         /// <param name="add_bos"></param>
         /// <param name="encoding"></param>
+        /// <param name="special">Allow tokenizing special and/or control tokens which otherwise are not exposed and treated as plaintext.</param>
         /// <returns></returns>
-        public int[] Tokenize(string text, bool add_bos, Encoding encoding)
+        public int[] Tokenize(string text, bool add_bos, bool special, Encoding encoding)
         {
             // Convert string to bytes, adding one extra byte to the end (null terminator)
             var bytesCount = encoding.GetByteCount(text);
@@ -276,13 +292,13 @@ namespace LLama.Native
                 fixed (byte* bytesPtr = &bytes[0])
                 {
                     // Tokenize once with no output, to get the token count. Output will be negative (indicating that there was insufficient space)
-                    var count = -NativeApi.llama_tokenize_with_model(this, bytesPtr, (int*)IntPtr.Zero, 0, add_bos);
+                    var count = -NativeApi.llama_tokenize(this, bytesPtr, bytesCount, (int*)IntPtr.Zero, 0, add_bos, special);
 
                     // Tokenize again, this time outputting into an array of exactly the right size
                     var tokens = new int[count];
                     fixed (int* tokensPtr = &tokens[0])
                     {
-                        NativeApi.llama_tokenize_with_model(this, bytesPtr, tokensPtr, count, add_bos);
+                        NativeApi.llama_tokenize(this, bytesPtr, bytesCount, tokensPtr, count, add_bos, special);
                         return tokens;
                     }
                 }

LLama/Utils.cs

@@ -1,108 +0,0 @@
-using LLama.Abstractions;
-using LLama.Native;
-using System;
-using System.Collections.Generic;
-using System.Runtime.InteropServices;
-using System.Text;
-using LLama.Extensions;
-
-namespace LLama
-{
-    using llama_token = Int32;
-
-    /// <summary>
-    /// Assorted llama utilities
-    /// </summary>
-    public static class Utils
-    {
-        [Obsolete("Use LLamaWeights.LoadFromFile and LLamaWeights.CreateContext instead")]
-        #pragma warning disable CS1591 // Missing XML comment for publicly visible type or member
-        public static SafeLLamaContextHandle InitLLamaContextFromModelParams(IModelParams @params)
-        #pragma warning restore CS1591 // Missing XML comment for publicly visible type or member
-        {
-            using var weights = LLamaWeights.LoadFromFile(@params);
-
-            using (@params.ToLlamaContextParams(out var lparams))
-                return SafeLLamaContextHandle.Create(weights.NativeHandle, lparams);
-        }
-
-        [Obsolete("Use SafeLLamaContextHandle Tokenize method instead")]
-        #pragma warning disable CS1591 // Missing XML comment for publicly visible type or member
-        public static IEnumerable<llama_token> Tokenize(SafeLLamaContextHandle ctx, string text, bool add_bos, Encoding encoding)
-        #pragma warning restore CS1591 // Missing XML comment for publicly visible type or member
-        {
-            return ctx.Tokenize(text, add_bos, encoding);
-        }
-
-        [Obsolete("Use SafeLLamaContextHandle GetLogits method instead")]
-        #pragma warning disable CS1591 // Missing XML comment for publicly visible type or member
-        public static Span<float> GetLogits(SafeLLamaContextHandle ctx, int length)
-        #pragma warning restore CS1591 // Missing XML comment for publicly visible type or member
-        {
-            if (length != ctx.VocabCount)
-                throw new ArgumentException("length must be the VocabSize");
-
-            return ctx.GetLogits();
-        }
-
-        [Obsolete("Use SafeLLamaContextHandle Eval method instead")]
-        #pragma warning disable CS1591 // Missing XML comment for publicly visible type or member
-        public static int Eval(SafeLLamaContextHandle ctx, llama_token[] tokens, int startIndex, int n_tokens, int n_past, int n_threads)
-        #pragma warning restore CS1591 // Missing XML comment for publicly visible type or member
-        {
-            var slice = tokens.AsSpan().Slice(startIndex, n_tokens);
-            return ctx.Eval(slice, n_past, n_threads) ? 0 : 1;
-        }
-
-        [Obsolete("Use SafeLLamaContextHandle TokenToString method instead")]
-        #pragma warning disable CS1591 // Missing XML comment for publicly visible type or member
-        public static string TokenToString(llama_token token, SafeLLamaContextHandle ctx, Encoding encoding)
-        #pragma warning restore CS1591 // Missing XML comment for publicly visible type or member
-        {
-            return ctx.TokenToString(token, encoding);
-        }
-
-        [Obsolete("No longer used internally by LlamaSharp")]
-        #pragma warning disable CS1591 // Missing XML comment for publicly visible type or member
-        public static string PtrToString(IntPtr ptr, Encoding encoding)
-        #pragma warning restore CS1591 // Missing XML comment for publicly visible type or member
-        {
-#if NET6_0_OR_GREATER
-            // ReSharper disable once PossibleUnintendedReferenceComparison
-            if(encoding == Encoding.UTF8)
-            {
-                return Marshal.PtrToStringUTF8(ptr)!;
-            }
-            // ReSharper disable once PossibleUnintendedReferenceComparison
-            else if(encoding == Encoding.Unicode)
-            {
-                return Marshal.PtrToStringUni(ptr)!;
-            }
-            else
-            {
-                return Marshal.PtrToStringAuto(ptr)!;
-            }
-#else
-            unsafe
-            {
-                byte* tp = (byte*)ptr.ToPointer();
-                List<byte> bytes = new();
-                while (true)
-                {
-                    byte c = *tp++;
-                    if (c == '\0')
-                    {
-                        break;
-                    }
-                    else
-                    {
-                        bytes.Add(c);
-                    }
-                }
-                return encoding.GetString(bytes.ToArray());
-            }
-#endif
-        }
-           
-    }
-}