chore: persist context length and ngl from gguf file

cortex-js/src/infrastructure/commanders/types/model-tokenizer.interface.ts

@@ -1,4 +1,6 @@
 export interface ModelMetadata {
+  contextLength: number;
+  ngl: number;
   stopWord?: string;
   promptTemplate: string;
   version: number;

cortex-js/src/usecases/models/models.usecases.ts

@@ -293,6 +293,11 @@ export class ModelsUsecases {
 
     return engine
       .unloadModel(modelId, model.engine || Engines.llamaCPP)
+      .catch((e) => {
+        // Skip model already unloaded error
+        if (e.code === AxiosError.ERR_BAD_REQUEST) return;
+        else throw e;
+      })
       .then(() => {
         delete this.activeModelStatuses[modelId];
         const modelEvent: ModelEvent = {
@@ -498,8 +503,8 @@ export class ModelsUsecases {
       top_p: 0.7,
 
       // Default Model Settings
-      ctx_len: 4096,
-      ngl: 100,
+      ctx_len: metadata?.contextLength ?? 4096,
+      ngl: metadata?.ngl ?? 100,
       engine: Engines.llamaCPP,
     };
     if (!(await this.findOne(modelId))) await this.create(model);

cortex-js/src/utils/huggingface.ts

@@ -209,7 +209,6 @@ export async function getHFModelMetadata(
   ggufUrl: string,
 ): Promise<ModelMetadata | undefined> {
   try {
-    let metadata: any;
     const { ggufMetadata } = await import('hyllama');
     // Read first 10mb of gguf file
     const fd = openSync(ggufUrl, 'r');
@@ -218,16 +217,20 @@ export async function getHFModelMetadata(
     closeSync(fd);
 
     // Parse metadata and tensor info
-    ({ metadata } = ggufMetadata(buffer.buffer));
+    const { metadata } = ggufMetadata(buffer.buffer);
 
     const index = metadata['tokenizer.ggml.eos_token_id'];
     const hfChatTemplate = metadata['tokenizer.chat_template'];
     const promptTemplate = guessPromptTemplateFromHuggingFace(hfChatTemplate);
     const stopWord: string = metadata['tokenizer.ggml.tokens'][index] ?? '';
     const name = metadata['general.name'];
-
+    const contextLength = metadata['llama.context_length'] ?? 4096;
+    const ngl = (metadata['llama.block_count'] ?? 32) + 1
     const version: number = metadata['version'];
+
     return {
+      contextLength,
+      ngl,
       stopWord,
       promptTemplate,
       version,