66 "id" : " IY0bHc5lF46I"
77 },
88 "source" : [
9+
10+ " # \ud83e\udd16 Qwen Model Agent\n " ,
11+ " This notebook runs a chatbot agent using the `Qwen/Qwen1.5-1.8B` model via the `transformers` library in Google Colab.\n " ,
12+ " \n " ,
13+ " \u2705 Lightweight model (1.8B) so it runs on Colab Free.\n " ,
14+ " \u2699\ufe0f No extra setup needed beyond `transformers` and `torch`.\n " ,
15+ =======
916 " # 🤖 Qwen Model Agent\n " ,
1017 " This notebook runs a chatbot agent using the `Qwen/Qwen1.5-1.8B` model via the `transformers` library in Google Colab.\n " ,
1118 " \n " ,
1219 " ✅ Lightweight model (1.8B) so it runs on Colab Free.\n " ,
1320 " ⚙️ No extra setup needed beyond `transformers` and `torch`.\n " ,
21+
1422 " ---"
1523 ],
1624 "id" : " IY0bHc5lF46I"
5058 "output_type" : " stream" ,
5159 "name" : " stdout" ,
5260 "text" : [
61+
62+ " \u001b [2K \u001b [90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b [0m \u001b [32m363.4/363.4 MB\u001b [0m \u001b [31m2.9 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
63+ " \u001b [2K \u001b [90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b [0m \u001b [32m13.8/13.8 MB\u001b [0m \u001b [31m36.4 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
64+ " \u001b [2K \u001b [90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b [0m \u001b [32m24.6/24.6 MB\u001b [0m \u001b [31m31.0 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
65+ " \u001b [2K \u001b [90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b [0m \u001b [32m883.7/883.7 kB\u001b [0m \u001b [31m23.5 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
66+ " \u001b [2K \u001b [90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b [0m \u001b [32m664.8/664.8 MB\u001b [0m \u001b [31m1.2 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
67+ " \u001b [2K \u001b [90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b [0m \u001b [32m211.5/211.5 MB\u001b [0m \u001b [31m2.7 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
68+ " \u001b [2K \u001b [90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b [0m \u001b [32m56.3/56.3 MB\u001b [0m \u001b [31m15.7 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
69+ " \u001b [2K \u001b [90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b [0m \u001b [32m127.9/127.9 MB\u001b [0m \u001b [31m7.5 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
70+ " \u001b [2K \u001b [90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b [0m \u001b [32m207.5/207.5 MB\u001b [0m \u001b [31m4.1 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
71+ " \u001b [2K \u001b [90m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b [0m \u001b [32m21.1/21.1 MB\u001b [0m \u001b [31m81.4 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
72+ =======
5373 " \u001b [2K \u001b [90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b [0m \u001b [32m363.4/363.4 MB\u001b [0m \u001b [31m2.9 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
5474 " \u001b [2K \u001b [90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b [0m \u001b [32m13.8/13.8 MB\u001b [0m \u001b [31m36.4 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
5575 " \u001b [2K \u001b [90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b [0m \u001b [32m24.6/24.6 MB\u001b [0m \u001b [31m31.0 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
6080 " \u001b [2K \u001b [90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b [0m \u001b [32m127.9/127.9 MB\u001b [0m \u001b [31m7.5 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
6181 " \u001b [2K \u001b [90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b [0m \u001b [32m207.5/207.5 MB\u001b [0m \u001b [31m4.1 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
6282 " \u001b [2K \u001b [90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b [0m \u001b [32m21.1/21.1 MB\u001b [0m \u001b [31m81.4 MB/s\u001b [0m eta \u001b [36m0:00:00\u001b [0m\n " ,
83+
6384 " \u001b [?25h"
6485 ]
6586 }
7394 {
7495 "cell_type" : " markdown" ,
7596 "source" : [
97+
98+ " # \u2705 Use the official BERT Large model"
99+ =======
76100 " # ✅ Use the official BERT Large model"
101+
77102 ],
78103 "metadata" : {
79104 "id" : " PvTxUutEce5s"
324349 },
325350 "colab" : {
326351 "provenance" : []
352+
353+ =======
327354 },
328355 "widgets" : {
329356 "application/vnd.jupyter.widget-state+json" : {
20382065 }
20392066 }
20402067 }
2068+
20412069 }
20422070 },
20432071 "nbformat" : 4 ,
20442072 "nbformat_minor" : 5
2045- }
2073+
2074+ }
2075+ =======
2076+ }
2077+
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