Repositori-NLP/ai_chatbot_kelompok_alya_yuda_eko.ipynb

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"text": [
"Requirement already satisfied: transformers in /usr/local/lib/python3.12/dist-packages (4.57.3)\n",
"Collecting transformers\n",
" Downloading transformers-4.57.6-py3-none-any.whl.metadata (43 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m44.0/44.0 kB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: accelerate in /usr/local/lib/python3.12/dist-packages (1.12.0)\n",
"Collecting bitsandbytes\n",
" Downloading bitsandbytes-0.49.1-py3-none-manylinux_2_24_x86_64.whl.metadata (10 kB)\n",
"Requirement already satisfied: sentencepiece in /usr/local/lib/python3.12/dist-packages (0.2.1)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from transformers) (3.20.2)\n",
"Requirement already satisfied: huggingface-hub<1.0,>=0.34.0 in /usr/local/lib/python3.12/dist-packages (from transformers) (0.36.0)\n",
"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.12/dist-packages (from transformers) (2.0.2)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from transformers) (25.0)\n",
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"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.12/dist-packages (from transformers) (2025.11.3)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from transformers) (2.32.4)\n",
"Requirement already satisfied: tokenizers<=0.23.0,>=0.22.0 in /usr/local/lib/python3.12/dist-packages (from transformers) (0.22.2)\n",
"Requirement already satisfied: safetensors>=0.4.3 in /usr/local/lib/python3.12/dist-packages (from transformers) (0.7.0)\n",
"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.12/dist-packages (from transformers) (4.67.1)\n",
"Requirement already satisfied: psutil in /usr/local/lib/python3.12/dist-packages (from accelerate) (5.9.5)\n",
"Requirement already satisfied: torch>=2.0.0 in /usr/local/lib/python3.12/dist-packages (from accelerate) (2.9.0+cpu)\n",
"Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0,>=0.34.0->transformers) (2025.3.0)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0,>=0.34.0->transformers) (4.15.0)\n",
"Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub<1.0,>=0.34.0->transformers) (1.2.0)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.12/dist-packages (from torch>=2.0.0->accelerate) (75.2.0)\n",
"Requirement already satisfied: sympy>=1.13.3 in /usr/local/lib/python3.12/dist-packages (from torch>=2.0.0->accelerate) (1.14.0)\n",
"Requirement already satisfied: networkx>=2.5.1 in /usr/local/lib/python3.12/dist-packages (from torch>=2.0.0->accelerate) (3.6.1)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch>=2.0.0->accelerate) (3.1.6)\n",
"Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests->transformers) (3.4.4)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests->transformers) (3.11)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests->transformers) (2.5.0)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests->transformers) (2026.1.4)\n",
"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy>=1.13.3->torch>=2.0.0->accelerate) (1.3.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.12/dist-packages (from jinja2->torch>=2.0.0->accelerate) (3.0.3)\n",
"Downloading transformers-4.57.6-py3-none-any.whl (12.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.0/12.0 MB\u001b[0m \u001b[31m108.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading bitsandbytes-0.49.1-py3-none-manylinux_2_24_x86_64.whl (59.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m59.1/59.1 MB\u001b[0m \u001b[31m10.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hInstalling collected packages: bitsandbytes, transformers\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.57.3\n",
" Uninstalling transformers-4.57.3:\n",
" Successfully uninstalled transformers-4.57.3\n",
"Successfully installed bitsandbytes-0.49.1 transformers-4.57.6\n"
]
}
],
"source": [
"!pip install -U transformers accelerate bitsandbytes sentencepiece\n"
]
},
{
"cell_type": "code",
"source": [
"from transformers import AutoTokenizer, AutoModelForCausalLM\n",
"import torch\n",
"\n",
"model_id = \"NousResearch/Hermes-2-Pro-Llama-3-8B\"\n",
"\n",
"# Load tokenizer\n",
"tokenizer = AutoTokenizer.from_pretrained(\n",
" model_id,\n",
" use_fast=True\n",
")\n",
"\n",
"# Load model (optimized for Colab GPU)\n",
"model = AutoModelForCausalLM.from_pretrained(\n",
" model_id,\n",
" torch_dtype=torch.float16,\n",
" device_map=\"auto\",\n",
" load_in_4bit=True # <- PENTING biar muat di VRAM Colab\n",
")\n",
"\n",
"model.eval()\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 531,
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},
"id": "VosUVVCO2VoK",
"outputId": "2be2681c-3749-4cb7-fd25-715b3991e2f5"
},
"execution_count": null,
"outputs": [
{
"metadata": {
"tags": null
},
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
"The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
"To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
"You will be able to reuse this secret in all of your notebooks.\n",
"Please note that authentication is recommended but still optional to access public models or datasets.\n",
" warnings.warn(\n"
]
},
{
"data": {
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"model_id": "133e07af342a4a678274de37ef65288b",
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},
"text/plain": [
"tokenizer_config.json: 0.00B [00:00, ?B/s]"
]
},
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},
{
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},
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{
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]
},
"metadata": {},
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},
{
"data": {
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},
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},
{
"metadata": {
"tags": null
},
"name": "stderr",
"output_type": "stream",
"text": [
"`torch_dtype` is deprecated! Use `dtype` instead!\n",
"WARNING:torchao.kernel.intmm:Warning: Detected no triton, on systems without Triton certain kernels will not work\n",
"The `load_in_4bit` and `load_in_8bit` arguments are deprecated and will be removed in the future versions. Please, pass a `BitsAndBytesConfig` object in `quantization_config` argument instead.\n"
]
},
{
"data": {
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"model_id": "de411eb71fac4872a52d816cd0afa59d",
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"model.safetensors.index.json: 0.00B [00:00, ?B/s]"
]
},
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},
{
"data": {
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"model_id": "04b8993bf77a4d0ebf98b412a25ea336",
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]
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"metadata": {},
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},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "cdbc2392fd494b7a90a3e1a6c18fbc99",
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},
{
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"model_id": "d4b25cc1518946ebba155c66b37dd65b",
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{
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"model_id": "0e9f04ae90994445a1dbac4e2f9a45ec",
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{
"data": {
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"model_id": "3262c5f306684ad79785d1bac0790605",
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{
"data": {
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"model_id": "1eee1d42e43c4da9a69a5d33081c9d56",
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]
},
"metadata": {},
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}
]
},
{
"cell_type": "code",
"source": [
"prompt = \"\"\"<|system|>\n",
"You are Hermes, a helpful AI assistant.\n",
"<|user|>\n",
"Jelaskan apa itu LLM\n",
"<|assistant|>\n",
"\"\"\"\n",
"\n",
"inputs = tokenizer(\n",
" prompt,\n",
" return_tensors=\"pt\"\n",
").to(model.device)\n",
"\n",
"with torch.no_grad():\n",
" outputs = model.generate(\n",
" **inputs,\n",
" max_new_tokens=300,\n",
" temperature=0.7,\n",
" top_p=0.9,\n",
" do_sample=True,\n",
" eos_token_id=tokenizer.eos_token_id\n",
" )\n",
"\n",
"print(tokenizer.decode(outputs[0], skip_special_tokens=True))\n"
],
"metadata": {
"id": "wIgqn6eY5GOb"
},
"execution_count": null,
"outputs": []
}
]
}