llama3.1 405b example

air_llm/examples/run_llama3.1_405B.ipynb

@@ -0,0 +1,68 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bfd29d17-9756-464f-b692-41ff20f41148",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1e07099a-03b9-49da-b0f8-c473b7f449eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from airllm import AutoModel\n",
+    "\n",
+    "MAX_LENGTH = 128\n",
+    "# could use hugging face model repo id:\n",
+    "model = AutoModel.from_pretrained(\"unsloth/Meta-Llama-3.1-405B-Instruct-bnb-4bit\")\n",
+    "\n",
+    "input_text = [\n",
+    "        'What is the capital of United States?',\n",
+    "    ]\n",
+    "\n",
+    "input_tokens = model.tokenizer(input_text,\n",
+    "    return_tensors=\"pt\", \n",
+    "    return_attention_mask=False, \n",
+    "    truncation=True, \n",
+    "    max_length=MAX_LENGTH, \n",
+    "    padding=False)\n",
+    "           \n",
+    "generation_output = model.generate(\n",
+    "    input_tokens['input_ids'].cuda(), \n",
+    "    max_new_tokens=10,\n",
+    "    use_cache=True,\n",
+    "    return_dict_in_generate=True)\n",
+    "\n",
+    "output = model.tokenizer.decode(generation_output.sequences[0])\n",
+    "\n",
+    "print(output)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}