use finetuned smollm360m

src/routes/+page.svelte

@@ -4,7 +4,7 @@
     import * as webllm from "@mlc-ai/web-llm";
     import { onMount } from 'svelte';
 
-    let selectedModel = "SmolLM-360M-Instruct-q4f16_1-MLC";
+    let selectedModel = "smollm-360M-instruct-add-basics-q4f16_1-MLC";
 
     let engine: webllm.MLCEngineInterface;
     let isLoading = false;
@@ -26,8 +26,8 @@
 
         const appConfig: webllm.AppConfig = {
             model_list: [{
-                model: `https://huggingface.co/mlc-ai/SmolLM-360M-Instruct-q4f16_1-MLC`,
-                model_id: 'SmolLM-360M-Instruct-q4f16_1-MLC',
+                model: `https://huggingface.co/reach-vb/smollm-360M-instruct-add-basics-q4f16_1-MLC`,
+                model_id: 'smollm-360M-instruct-add-basics-q4f16_1-MLC',
                 model_lib: `${webllm.modelLibURLPrefix}${webllm.modelVersion}/SmolLM-360M-Instruct-q4f16_1-ctx2k_cs1k-webgpu.wasm`,
                 overrides: { context_window_size: 2048 },
             },
@@ -71,7 +71,7 @@
             console.log("Generating completion:", content);
             const response = await engine.chat.completions.create({
                 messages: [
-                    {role:"system", content: "You are a helpful AI agent helping users. Try your best to answer the users request."},
+                    {role:"system", content: "You are a helpful AI assistant. Try your best to answer the users request."},
                     {role: "user", content: content}
                 ],
                 max_tokens: 10,