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/gemma4_test.py

@@ -0,0 +1,88 @@
+"""
+Gemma 4 26B-A4B Q4_K_M - 76.4 t/s 재현 테스트
+이전 최적값: ngl=999 t=6 ub=512 b=2048 ctk=f16 ctv=f16
+"""
+import subprocess, time, json, urllib.request, sys, os
+
+try: sys.stdout.reconfigure(encoding='utf-8')
+except: pass
+
+LLAMA = os.path.join(os.getcwd(), "llama_bin_run", "llama-server.exe")
+MODEL = os.path.join(os.getcwd(), "models", "gemma-4-26B-A4B-it-Q4_K_M.gguf")
+
+subprocess.run(["taskkill", "/F", "/IM", "llama-server.exe"], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
+time.sleep(3)
+
+cmd = [
+    LLAMA, "--model", MODEL,
+    "-ngl", "999", "-c", "262144", "-np", "1", "-fa", "on",
+    "--cache-type-k", "f16", "--cache-type-v", "f16",
+    "-ub", "512", "-b", "2048", "-t", "6", "-tb", "6",
+    "--prio", "3", "--mlock", "--poll", "50",
+    "--port", "8000", "--host", "0.0.0.0",
+]
+
+print("[1/4] Starting Gemma4 26B Q4_K_M (76.4 t/s config)...")
+server = subprocess.Popen(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
+
+print("[2/4] Waiting for boot...")
+healthy = False
+for sec in range(180):
+    time.sleep(1)
+    if server.poll() is not None:
+        print(f"  !! CRASHED (exit code {server.returncode})")
+        sys.exit(1)
+    try:
+        with urllib.request.urlopen("http://127.0.0.1:8000/health", timeout=1) as r:
+            if json.loads(r.read()).get("status") == "ok":
+                healthy = True; break
+    except: pass
+    if sec % 10 == 9: print(f"  ... {sec+1}s")
+
+if not healthy:
+    print("  FAIL: boot timeout"); server.kill(); sys.exit(1)
+
+print(f"  OK!")
+try:
+    v = subprocess.run(["nvidia-smi", "--query-gpu=index,memory.used,memory.total", "--format=csv,noheader,nounits"], capture_output=True, text=True, timeout=5)
+    print(f"  VRAM: {v.stdout.strip()}")
+except: pass
+
+def bench(n):
+    payload = json.dumps({"messages": [{"role": "user", "content": "Count from 1 to 50, each number on a new line."}], "max_tokens": n, "temperature": 0}).encode()
+    req = urllib.request.Request("http://127.0.0.1:8000/v1/chat/completions", data=payload, headers={"Content-Type": "application/json"})
+    t0 = time.time()
+    with urllib.request.urlopen(req, timeout=120) as r:
+        res = json.loads(r.read())
+    el = time.time() - t0
+    ct = res["usage"]["completion_tokens"]
+    return ct / el, ct, el
+
+try: bench(10)
+except: pass
+
+print("[3/4] Running 5x benchmark (200 tokens)...")
+results = []
+for i in range(5):
+    tps, tok, el = bench(200)
+    results.append(tps)
+    print(f"  Run {i+1}: {tps:.2f} t/s  ({tok} tok / {el:.2f}s)")
+
+avg = sum(results) / len(results)
+best = max(results)
+worst = min(results)
+summary = f"""
+==================================================
+ Gemma4 26B Q4_K_M  5-Run Results:
+   AVG:  {avg:.2f} t/s
+   BEST: {best:.2f} t/s
+   MIN:  {worst:.2f} t/s
+   Runs: {[f'{r:.2f}' for r in results]}
+==================================================
+"""
+print(summary)
+with open("scripts/gemma4_test_result.txt", "w") as f:
+    f.write(summary)
+
+server.kill()
+subprocess.run(["taskkill", "/F", "/IM", "llama-server.exe"], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)