feat: Variet Engine v1.0 + 5-model tuning complete

Phase 01 (LLM Tuning):
- Gemma4 26B: 74.65 t/s (fast)
- Qwen 35B: 61.62 t/s (balanced)
- Gemma4 31B: 16.0 t/s (deep-coder)
- Qwen 27B: 16.7 t/s (deep-logic)
- Qwen 122B: 8.95 t/s (ultra, GPU 1 only)

Phase 02 (API Engine):
- FastAPI reverse proxy on port 8000
- /engine/switch hot-swap with 503 protection
- config/engine_models.json as single source of truth
- Replaced 4 individual .bat files with unified engine

File cleanup:
- scripts/ 85 files -> 9 + _archive/
- Root .bat files -> _archive/

scripts/_archive/benchmarks/test_split_03_07.mjs

@@ -0,0 +1,84 @@
+import { spawn, execSync } from "child_process";
+
+const BASE_URL = "http://127.0.0.1:8000";
+const args = [
+  "llama_bin_run\\llama-server.exe",
+  "--model", "models\\Qwen3.5-35B-A3B-Q4_K_M.gguf",
+  "-ngl", "999",
+  "-c", "262144",
+  "-np", "1",
+  "-fa", "on",
+  "--cache-type-k", "q4_0",
+  "--cache-type-v", "q4_0",
+  "-ub", "128",
+  "-b", "512",
+  "-t", "6",
+  "-tb", "6",
+  "--prio", "3",
+  "--port", "8000",
+  "--host", "0.0.0.0",
+  "-ts", "0.3,0.7"
+];
+
+console.log(`Starting server with args: \n${args.join(" ")}\n`);
+try { execSync('taskkill /F /IM llama-server.exe', { stdio: 'ignore' }); } catch(e) {}
+await new Promise(r => setTimeout(r, 2000));
+
+const server = spawn(args[0], args.slice(1), { stdio: 'ignore' });
+
+let ready = false;
+let bootStart = Date.now();
+for (let i = 0; i < 60; i++) {
+  try {
+    const res = await fetch(`${BASE_URL}/health`);
+    if (res.status === 200) { ready = true; break; }
+  } catch(e) {}
+  await new Promise(r => setTimeout(r, 3000));
+}
+
+if (!ready) {
+  console.log("Server failed to boot within 3 mins.");
+  try { execSync('taskkill /F /IM llama-server.exe', { stdio: 'ignore' }); } catch(e) {}
+  process.exit(1);
+}
+
+const bootElapsed = (Date.now() - bootStart) / 1000;
+console.log(`\n===========================================`);
+console.log(`Server booted in ${bootElapsed.toFixed(1)}s.`);
+
+try {
+  const vram = execSync('nvidia-smi --query-gpu=index,memory.used,memory.total --format=csv,noheader,nounits', { encoding: 'utf-8' });
+  console.log(`VRAM USAGE:\n${vram.trim()}`);
+} catch(e) {}
+console.log(`===========================================\n`);
+
+try {
+  await fetch(`${BASE_URL}/v1/chat/completions`, {
+    method: "POST", headers: { "Content-Type": "application/json" },
+    body: JSON.stringify({ messages: [{ role: "user", content: "hi" }], max_tokens: 10, temperature: 0 })
+  });
+} catch(e) {}
+
+console.log("Running speed test (200 tokens)...");
+const t0 = Date.now();
+try {
+    const res = await fetch(`${BASE_URL}/v1/chat/completions`, {
+      method: "POST", headers: { "Content-Type": "application/json" },
+      body: JSON.stringify({ messages: [{ role: "user", content: "Count from 1 to 50, each on new line." }], max_tokens: 200, temperature: 0 })
+    });
+    const result = await res.json();
+    const elapsed = (Date.now() - t0) / 1000;
+    const ct = result?.usage?.completion_tokens || 0;
+    const tps = ct / elapsed;
+
+    console.log(`\n===========================================`);
+    console.log(`★ 0.3/0.7 SPLIT RESULT: ${tps.toFixed(2)} t/s ★`);
+    console.log(`   Tokens: ${ct}`);
+    console.log(`   Time: ${elapsed.toFixed(2)}s\n===========================================\n`);
+
+} catch(e) {
+    console.log("ERROR during benchmark:", e.message);
+}
+
+try { execSync('taskkill /F /IM llama-server.exe', { stdio: 'ignore' }); } catch(e) {}
+process.exit(0);