provide better speedup prompt to speculative decoding notebook (#2565)

Author: shira-g

notebooks/speculative-sampling/speculative-sampling.ipynb

@@ -188,7 +188,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "553148f5",
    "metadata": {},
    "outputs": [
@@ -207,9 +207,23 @@
     "pipe = ov_genai.LLMPipeline(target_model_path, device.value)\n",
     "\n",
     "config = ov_genai.GenerationConfig()\n",
-    "config.max_new_tokens = 100\n",
-    "\n",
-    "\n",
+    "config.max_new_tokens = 330\n",
+    "prompt = '''<s>\n",
+    "\n",
+    "def prime_fib(n: int):\n",
+    "    \"\"\"\n",
+    "    prime_fib returns n-th number that is a Fibonacci number and it's also prime.\n",
+    "    >>> prime_fib(1)\n",
+    "    2\n",
+    "    >>> prime_fib(2)\n",
+    "    3\n",
+    "    >>> prime_fib(3)\n",
+    "    5\n",
+    "    >>> prime_fib(4)\n",
+    "    13\n",
+    "    >>> prime_fib(5)\n",
+    "    89\n",
+    "    \"\"\"'''\n",
     "def streamer(subword):\n",
     "    print(subword, end=\"\", flush=True)\n",
     "    # Return flag corresponds whether generation should be stopped.\n",
@@ -218,13 +232,13 @@
     "\n",
     "\n",
     "start_time = time.perf_counter()\n",
-    "pipe.generate([\"Sun is yellow because\"], config, streamer=streamer)\n",
+    "pipe.generate(prompt, config, streamer=streamer)\n",
     "end_time = time.perf_counter()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "c40d9901-ceb2-4c4c-a686-303590292ab3",
    "metadata": {},
    "outputs": [
@@ -241,7 +255,7 @@
     "\n",
     "print(f\"Generation time: {end_time - start_time:.2f}s\")\n",
     "del pipe\n",
-    "gc.collect();"
+    "gc.collect()"
    ]
   },
   {
@@ -263,7 +277,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "9fde1b3c",
    "metadata": {},
    "outputs": [
@@ -278,17 +292,19 @@
    "source": [
     "scheduler_config = ov_genai.SchedulerConfig()\n",
     "# cache params\n",
-    "scheduler_config.cache_size = 2\n",
+    "scheduler_config.cache_size = 0\n",
+    "scheduler_config.num_kv_blocks = 2048 // 8\n",
+    "scheduler_config.max_num_batched_tokens = 2048\n",
     "\n",
     "draft_model = ov_genai.draft_model(draft_model_path, device.value)\n",
     "\n",
     "pipe = ov_genai.LLMPipeline(target_model_path, device.value, draft_model=draft_model, scheduler_config=scheduler_config)\n",
     "\n",
     "config = ov_genai.GenerationConfig()\n",
-    "config.max_new_tokens = 100\n",
-    "config.num_assistant_tokens = 3\n",
+    "config.max_new_tokens = 330\n",
+    "config.num_assistant_tokens = 5\n",
     "start_time = time.perf_counter()\n",
-    "result = pipe.generate([\"Sun is yellow because\"], config, streamer=streamer)\n",
+    "result = pipe.generate(prompt, config, streamer=streamer)\n",
     "end_time = time.perf_counter()"
    ]
   },