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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": 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recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "133e07af342a4a678274de37ef65288b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "tokenizer_config.json: 0.00B [00:00, ?B/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e95c6ae2d42f404d8423686425a492bd", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "tokenizer.json: 0.00B [00:00, ?B/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6fa1e4908ede442fa7efbe65bfc20239", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "special_tokens_map.json: 0%| | 0.00/68.0 [00:00\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": [] + } + ] +} \ No newline at end of file