feat: fix namings

Author: Piotr Stachaczynski

src/MaIN.Domain/Models/SupportedModels.cs

@@ -91,12 +91,12 @@ public static Model GetEmbeddingModel() =>
         new()
         {
             Name = KnownModelNames.Nomic_Embedding,
-            FileName = "nomic-maIN.gguf",
+            FileName = "nomic.gguf",
             Description = "Model used to generate embeddings.",
             DownloadUrl = string.Empty,
         };
 
-    public static Model GetModel(string path, string name)
+    public static Model GetModel(string? path, string name)
     {
         var isPresent = Models.TryGetValue(name, out var model);
         if (!isPresent)

src/MaIN.Services/Services/LLMService/LLMService.cs

@@ -276,7 +276,7 @@ private void AddMessagesToHistory(ChatSession session, List<Message> messages)
 
 
     [Experimental("KMEXP01")]
-    private static IKernelMemory CreateMemory(string modelName, string path,
+    private static IKernelMemory CreateMemory(string modelName, string? path,
         out KernelMemFix.LlamaSharpTextGenerator generator)
     {
         InferenceParams infParams = new() { AntiPrompts = ["INFO", "<|im_end|>", "Question:"] };
@@ -307,7 +307,7 @@ private static IKernelMemory CreateMemory(string modelName, string path,
             .Build();
     }
 
-    internal static async Task<LLamaWeights> GetOrLoadModelAsync(string path, string modelKey)
+    internal static async Task<LLamaWeights> GetOrLoadModelAsync(string? path, string modelKey)
     {
         if (modelCache.TryGetValue(modelKey, out var cachedModel))
         {
@@ -452,7 +452,7 @@ public static IKernelMemoryBuilder WithLLamaSharpTextGeneration(
 
     [Experimental("KMEXP01")]
     public static IKernelMemoryBuilder WithLLamaSharpMaINTemp(this IKernelMemoryBuilder builder,
-        LLamaSharpConfig config, string path, string modelName, out LlamaSharpTextGenerator generator)
+        LLamaSharpConfig config, string? path, string modelName, out LlamaSharpTextGenerator generator)
     {
         // Load the first model with caching.
         var model = LLMService.GetOrLoadModelAsync(path, modelName).Result;