Pankaj Mathur
commited on
Commit
•
015a58c
1
Parent(s):
0fceb49
Upload orca_mini_3b_T4_GPU.ipynb
Browse files- orca_mini_3b_T4_GPU.ipynb +501 -0
orca_mini_3b_T4_GPU.ipynb
ADDED
@@ -0,0 +1,501 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"nbformat": 4,
|
3 |
+
"nbformat_minor": 0,
|
4 |
+
"metadata": {
|
5 |
+
"colab": {
|
6 |
+
"provenance": [],
|
7 |
+
"gpuType": "T4"
|
8 |
+
},
|
9 |
+
"kernelspec": {
|
10 |
+
"name": "python3",
|
11 |
+
"display_name": "Python 3"
|
12 |
+
},
|
13 |
+
"language_info": {
|
14 |
+
"name": "python"
|
15 |
+
},
|
16 |
+
"accelerator": "GPU",
|
17 |
+
"widgets": {
|
18 |
+
"application/vnd.jupyter.widget-state+json": {
|
19 |
+
"1830ab16750b4c7ebf5d1692a02e3544": {
|
20 |
+
"model_module": "@jupyter-widgets/controls",
|
21 |
+
"model_name": "HBoxModel",
|
22 |
+
"model_module_version": "1.5.0",
|
23 |
+
"state": {
|
24 |
+
"_dom_classes": [],
|
25 |
+
"_model_module": "@jupyter-widgets/controls",
|
26 |
+
"_model_module_version": "1.5.0",
|
27 |
+
"_model_name": "HBoxModel",
|
28 |
+
"_view_count": null,
|
29 |
+
"_view_module": "@jupyter-widgets/controls",
|
30 |
+
"_view_module_version": "1.5.0",
|
31 |
+
"_view_name": "HBoxView",
|
32 |
+
"box_style": "",
|
33 |
+
"children": [
|
34 |
+
"IPY_MODEL_de65aa83f07a48a98ecc54fd956c5831",
|
35 |
+
"IPY_MODEL_93dad1c7c99b4a36a8df85fc2dff617e",
|
36 |
+
"IPY_MODEL_098a2232a1f34d94ab4f61141733730f"
|
37 |
+
],
|
38 |
+
"layout": "IPY_MODEL_79a38d122e4c4b2593b96151f5bce47e"
|
39 |
+
}
|
40 |
+
},
|
41 |
+
"de65aa83f07a48a98ecc54fd956c5831": {
|
42 |
+
"model_module": "@jupyter-widgets/controls",
|
43 |
+
"model_name": "HTMLModel",
|
44 |
+
"model_module_version": "1.5.0",
|
45 |
+
"state": {
|
46 |
+
"_dom_classes": [],
|
47 |
+
"_model_module": "@jupyter-widgets/controls",
|
48 |
+
"_model_module_version": "1.5.0",
|
49 |
+
"_model_name": "HTMLModel",
|
50 |
+
"_view_count": null,
|
51 |
+
"_view_module": "@jupyter-widgets/controls",
|
52 |
+
"_view_module_version": "1.5.0",
|
53 |
+
"_view_name": "HTMLView",
|
54 |
+
"description": "",
|
55 |
+
"description_tooltip": null,
|
56 |
+
"layout": "IPY_MODEL_d8e51c8c5d0b4698918e24b3aa32f492",
|
57 |
+
"placeholder": "",
|
58 |
+
"style": "IPY_MODEL_b8d38b2204b94010acdd81a438c6c58c",
|
59 |
+
"value": "Loading checkpoint shards: 100%"
|
60 |
+
}
|
61 |
+
},
|
62 |
+
"93dad1c7c99b4a36a8df85fc2dff617e": {
|
63 |
+
"model_module": "@jupyter-widgets/controls",
|
64 |
+
"model_name": "FloatProgressModel",
|
65 |
+
"model_module_version": "1.5.0",
|
66 |
+
"state": {
|
67 |
+
"_dom_classes": [],
|
68 |
+
"_model_module": "@jupyter-widgets/controls",
|
69 |
+
"_model_module_version": "1.5.0",
|
70 |
+
"_model_name": "FloatProgressModel",
|
71 |
+
"_view_count": null,
|
72 |
+
"_view_module": "@jupyter-widgets/controls",
|
73 |
+
"_view_module_version": "1.5.0",
|
74 |
+
"_view_name": "ProgressView",
|
75 |
+
"bar_style": "success",
|
76 |
+
"description": "",
|
77 |
+
"description_tooltip": null,
|
78 |
+
"layout": "IPY_MODEL_1ac8c0d157144c48bae5444f35076192",
|
79 |
+
"max": 3,
|
80 |
+
"min": 0,
|
81 |
+
"orientation": "horizontal",
|
82 |
+
"style": "IPY_MODEL_818b9628fa4f4781922add05931a8503",
|
83 |
+
"value": 3
|
84 |
+
}
|
85 |
+
},
|
86 |
+
"098a2232a1f34d94ab4f61141733730f": {
|
87 |
+
"model_module": "@jupyter-widgets/controls",
|
88 |
+
"model_name": "HTMLModel",
|
89 |
+
"model_module_version": "1.5.0",
|
90 |
+
"state": {
|
91 |
+
"_dom_classes": [],
|
92 |
+
"_model_module": "@jupyter-widgets/controls",
|
93 |
+
"_model_module_version": "1.5.0",
|
94 |
+
"_model_name": "HTMLModel",
|
95 |
+
"_view_count": null,
|
96 |
+
"_view_module": "@jupyter-widgets/controls",
|
97 |
+
"_view_module_version": "1.5.0",
|
98 |
+
"_view_name": "HTMLView",
|
99 |
+
"description": "",
|
100 |
+
"description_tooltip": null,
|
101 |
+
"layout": "IPY_MODEL_920b4172ad2044eda1cdedb2af7c9ed7",
|
102 |
+
"placeholder": "",
|
103 |
+
"style": "IPY_MODEL_8da0941661e7430d9dbb1984e19cb0ed",
|
104 |
+
"value": " 3/3 [01:03<00:00, 20.58s/it]"
|
105 |
+
}
|
106 |
+
},
|
107 |
+
"79a38d122e4c4b2593b96151f5bce47e": {
|
108 |
+
"model_module": "@jupyter-widgets/base",
|
109 |
+
"model_name": "LayoutModel",
|
110 |
+
"model_module_version": "1.2.0",
|
111 |
+
"state": {
|
112 |
+
"_model_module": "@jupyter-widgets/base",
|
113 |
+
"_model_module_version": "1.2.0",
|
114 |
+
"_model_name": "LayoutModel",
|
115 |
+
"_view_count": null,
|
116 |
+
"_view_module": "@jupyter-widgets/base",
|
117 |
+
"_view_module_version": "1.2.0",
|
118 |
+
"_view_name": "LayoutView",
|
119 |
+
"align_content": null,
|
120 |
+
"align_items": null,
|
121 |
+
"align_self": null,
|
122 |
+
"border": null,
|
123 |
+
"bottom": null,
|
124 |
+
"display": null,
|
125 |
+
"flex": null,
|
126 |
+
"flex_flow": null,
|
127 |
+
"grid_area": null,
|
128 |
+
"grid_auto_columns": null,
|
129 |
+
"grid_auto_flow": null,
|
130 |
+
"grid_auto_rows": null,
|
131 |
+
"grid_column": null,
|
132 |
+
"grid_gap": null,
|
133 |
+
"grid_row": null,
|
134 |
+
"grid_template_areas": null,
|
135 |
+
"grid_template_columns": null,
|
136 |
+
"grid_template_rows": null,
|
137 |
+
"height": null,
|
138 |
+
"justify_content": null,
|
139 |
+
"justify_items": null,
|
140 |
+
"left": null,
|
141 |
+
"margin": null,
|
142 |
+
"max_height": null,
|
143 |
+
"max_width": null,
|
144 |
+
"min_height": null,
|
145 |
+
"min_width": null,
|
146 |
+
"object_fit": null,
|
147 |
+
"object_position": null,
|
148 |
+
"order": null,
|
149 |
+
"overflow": null,
|
150 |
+
"overflow_x": null,
|
151 |
+
"overflow_y": null,
|
152 |
+
"padding": null,
|
153 |
+
"right": null,
|
154 |
+
"top": null,
|
155 |
+
"visibility": null,
|
156 |
+
"width": null
|
157 |
+
}
|
158 |
+
},
|
159 |
+
"d8e51c8c5d0b4698918e24b3aa32f492": {
|
160 |
+
"model_module": "@jupyter-widgets/base",
|
161 |
+
"model_name": "LayoutModel",
|
162 |
+
"model_module_version": "1.2.0",
|
163 |
+
"state": {
|
164 |
+
"_model_module": "@jupyter-widgets/base",
|
165 |
+
"_model_module_version": "1.2.0",
|
166 |
+
"_model_name": "LayoutModel",
|
167 |
+
"_view_count": null,
|
168 |
+
"_view_module": "@jupyter-widgets/base",
|
169 |
+
"_view_module_version": "1.2.0",
|
170 |
+
"_view_name": "LayoutView",
|
171 |
+
"align_content": null,
|
172 |
+
"align_items": null,
|
173 |
+
"align_self": null,
|
174 |
+
"border": null,
|
175 |
+
"bottom": null,
|
176 |
+
"display": null,
|
177 |
+
"flex": null,
|
178 |
+
"flex_flow": null,
|
179 |
+
"grid_area": null,
|
180 |
+
"grid_auto_columns": null,
|
181 |
+
"grid_auto_flow": null,
|
182 |
+
"grid_auto_rows": null,
|
183 |
+
"grid_column": null,
|
184 |
+
"grid_gap": null,
|
185 |
+
"grid_row": null,
|
186 |
+
"grid_template_areas": null,
|
187 |
+
"grid_template_columns": null,
|
188 |
+
"grid_template_rows": null,
|
189 |
+
"height": null,
|
190 |
+
"justify_content": null,
|
191 |
+
"justify_items": null,
|
192 |
+
"left": null,
|
193 |
+
"margin": null,
|
194 |
+
"max_height": null,
|
195 |
+
"max_width": null,
|
196 |
+
"min_height": null,
|
197 |
+
"min_width": null,
|
198 |
+
"object_fit": null,
|
199 |
+
"object_position": null,
|
200 |
+
"order": null,
|
201 |
+
"overflow": null,
|
202 |
+
"overflow_x": null,
|
203 |
+
"overflow_y": null,
|
204 |
+
"padding": null,
|
205 |
+
"right": null,
|
206 |
+
"top": null,
|
207 |
+
"visibility": null,
|
208 |
+
"width": null
|
209 |
+
}
|
210 |
+
},
|
211 |
+
"b8d38b2204b94010acdd81a438c6c58c": {
|
212 |
+
"model_module": "@jupyter-widgets/controls",
|
213 |
+
"model_name": "DescriptionStyleModel",
|
214 |
+
"model_module_version": "1.5.0",
|
215 |
+
"state": {
|
216 |
+
"_model_module": "@jupyter-widgets/controls",
|
217 |
+
"_model_module_version": "1.5.0",
|
218 |
+
"_model_name": "DescriptionStyleModel",
|
219 |
+
"_view_count": null,
|
220 |
+
"_view_module": "@jupyter-widgets/base",
|
221 |
+
"_view_module_version": "1.2.0",
|
222 |
+
"_view_name": "StyleView",
|
223 |
+
"description_width": ""
|
224 |
+
}
|
225 |
+
},
|
226 |
+
"1ac8c0d157144c48bae5444f35076192": {
|
227 |
+
"model_module": "@jupyter-widgets/base",
|
228 |
+
"model_name": "LayoutModel",
|
229 |
+
"model_module_version": "1.2.0",
|
230 |
+
"state": {
|
231 |
+
"_model_module": "@jupyter-widgets/base",
|
232 |
+
"_model_module_version": "1.2.0",
|
233 |
+
"_model_name": "LayoutModel",
|
234 |
+
"_view_count": null,
|
235 |
+
"_view_module": "@jupyter-widgets/base",
|
236 |
+
"_view_module_version": "1.2.0",
|
237 |
+
"_view_name": "LayoutView",
|
238 |
+
"align_content": null,
|
239 |
+
"align_items": null,
|
240 |
+
"align_self": null,
|
241 |
+
"border": null,
|
242 |
+
"bottom": null,
|
243 |
+
"display": null,
|
244 |
+
"flex": null,
|
245 |
+
"flex_flow": null,
|
246 |
+
"grid_area": null,
|
247 |
+
"grid_auto_columns": null,
|
248 |
+
"grid_auto_flow": null,
|
249 |
+
"grid_auto_rows": null,
|
250 |
+
"grid_column": null,
|
251 |
+
"grid_gap": null,
|
252 |
+
"grid_row": null,
|
253 |
+
"grid_template_areas": null,
|
254 |
+
"grid_template_columns": null,
|
255 |
+
"grid_template_rows": null,
|
256 |
+
"height": null,
|
257 |
+
"justify_content": null,
|
258 |
+
"justify_items": null,
|
259 |
+
"left": null,
|
260 |
+
"margin": null,
|
261 |
+
"max_height": null,
|
262 |
+
"max_width": null,
|
263 |
+
"min_height": null,
|
264 |
+
"min_width": null,
|
265 |
+
"object_fit": null,
|
266 |
+
"object_position": null,
|
267 |
+
"order": null,
|
268 |
+
"overflow": null,
|
269 |
+
"overflow_x": null,
|
270 |
+
"overflow_y": null,
|
271 |
+
"padding": null,
|
272 |
+
"right": null,
|
273 |
+
"top": null,
|
274 |
+
"visibility": null,
|
275 |
+
"width": null
|
276 |
+
}
|
277 |
+
},
|
278 |
+
"818b9628fa4f4781922add05931a8503": {
|
279 |
+
"model_module": "@jupyter-widgets/controls",
|
280 |
+
"model_name": "ProgressStyleModel",
|
281 |
+
"model_module_version": "1.5.0",
|
282 |
+
"state": {
|
283 |
+
"_model_module": "@jupyter-widgets/controls",
|
284 |
+
"_model_module_version": "1.5.0",
|
285 |
+
"_model_name": "ProgressStyleModel",
|
286 |
+
"_view_count": null,
|
287 |
+
"_view_module": "@jupyter-widgets/base",
|
288 |
+
"_view_module_version": "1.2.0",
|
289 |
+
"_view_name": "StyleView",
|
290 |
+
"bar_color": null,
|
291 |
+
"description_width": ""
|
292 |
+
}
|
293 |
+
},
|
294 |
+
"920b4172ad2044eda1cdedb2af7c9ed7": {
|
295 |
+
"model_module": "@jupyter-widgets/base",
|
296 |
+
"model_name": "LayoutModel",
|
297 |
+
"model_module_version": "1.2.0",
|
298 |
+
"state": {
|
299 |
+
"_model_module": "@jupyter-widgets/base",
|
300 |
+
"_model_module_version": "1.2.0",
|
301 |
+
"_model_name": "LayoutModel",
|
302 |
+
"_view_count": null,
|
303 |
+
"_view_module": "@jupyter-widgets/base",
|
304 |
+
"_view_module_version": "1.2.0",
|
305 |
+
"_view_name": "LayoutView",
|
306 |
+
"align_content": null,
|
307 |
+
"align_items": null,
|
308 |
+
"align_self": null,
|
309 |
+
"border": null,
|
310 |
+
"bottom": null,
|
311 |
+
"display": null,
|
312 |
+
"flex": null,
|
313 |
+
"flex_flow": null,
|
314 |
+
"grid_area": null,
|
315 |
+
"grid_auto_columns": null,
|
316 |
+
"grid_auto_flow": null,
|
317 |
+
"grid_auto_rows": null,
|
318 |
+
"grid_column": null,
|
319 |
+
"grid_gap": null,
|
320 |
+
"grid_row": null,
|
321 |
+
"grid_template_areas": null,
|
322 |
+
"grid_template_columns": null,
|
323 |
+
"grid_template_rows": null,
|
324 |
+
"height": null,
|
325 |
+
"justify_content": null,
|
326 |
+
"justify_items": null,
|
327 |
+
"left": null,
|
328 |
+
"margin": null,
|
329 |
+
"max_height": null,
|
330 |
+
"max_width": null,
|
331 |
+
"min_height": null,
|
332 |
+
"min_width": null,
|
333 |
+
"object_fit": null,
|
334 |
+
"object_position": null,
|
335 |
+
"order": null,
|
336 |
+
"overflow": null,
|
337 |
+
"overflow_x": null,
|
338 |
+
"overflow_y": null,
|
339 |
+
"padding": null,
|
340 |
+
"right": null,
|
341 |
+
"top": null,
|
342 |
+
"visibility": null,
|
343 |
+
"width": null
|
344 |
+
}
|
345 |
+
},
|
346 |
+
"8da0941661e7430d9dbb1984e19cb0ed": {
|
347 |
+
"model_module": "@jupyter-widgets/controls",
|
348 |
+
"model_name": "DescriptionStyleModel",
|
349 |
+
"model_module_version": "1.5.0",
|
350 |
+
"state": {
|
351 |
+
"_model_module": "@jupyter-widgets/controls",
|
352 |
+
"_model_module_version": "1.5.0",
|
353 |
+
"_model_name": "DescriptionStyleModel",
|
354 |
+
"_view_count": null,
|
355 |
+
"_view_module": "@jupyter-widgets/base",
|
356 |
+
"_view_module_version": "1.2.0",
|
357 |
+
"_view_name": "StyleView",
|
358 |
+
"description_width": ""
|
359 |
+
}
|
360 |
+
}
|
361 |
+
}
|
362 |
+
}
|
363 |
+
},
|
364 |
+
"cells": [
|
365 |
+
{
|
366 |
+
"cell_type": "code",
|
367 |
+
"execution_count": 1,
|
368 |
+
"metadata": {
|
369 |
+
"id": "ege5kkFDUiEf"
|
370 |
+
},
|
371 |
+
"outputs": [],
|
372 |
+
"source": [
|
373 |
+
"!pip -q install transformers\n",
|
374 |
+
"!pip -q install sentencepiece\n",
|
375 |
+
"!pip -q install accelerate"
|
376 |
+
]
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"cell_type": "code",
|
380 |
+
"source": [
|
381 |
+
"import torch\n",
|
382 |
+
"from transformers import LlamaForCausalLM, LlamaTokenizer\n",
|
383 |
+
"\n",
|
384 |
+
"# Hugging Face model_path\n",
|
385 |
+
"model_path = 'psmathur/orca_mini_3b'\n",
|
386 |
+
"tokenizer = LlamaTokenizer.from_pretrained(model_path)\n",
|
387 |
+
"model = LlamaForCausalLM.from_pretrained(\n",
|
388 |
+
" model_path, torch_dtype=torch.float16, device_map='auto',\n",
|
389 |
+
")\n",
|
390 |
+
"\n",
|
391 |
+
"\n",
|
392 |
+
"#generate text function\n",
|
393 |
+
"def generate_text(system, instruction, input=None):\n",
|
394 |
+
"\n",
|
395 |
+
" if input:\n",
|
396 |
+
" prompt = f\"### System:\\n{system}\\n\\n### User:\\n{instruction}\\n\\n### Input:\\n{input}\\n\\n### Response:\\n\"\n",
|
397 |
+
" else:\n",
|
398 |
+
" prompt = f\"### System:\\n{system}\\n\\n### User:\\n{instruction}\\n\\n### Response:\\n\"\n",
|
399 |
+
"\n",
|
400 |
+
" tokens = tokenizer.encode(prompt)\n",
|
401 |
+
" tokens = torch.LongTensor(tokens).unsqueeze(0)\n",
|
402 |
+
" tokens = tokens.to('cuda')\n",
|
403 |
+
"\n",
|
404 |
+
" instance = {'input_ids': tokens,'top_p': 1.0, 'temperature':0.7, 'generate_len': 1024, 'top_k': 50}\n",
|
405 |
+
"\n",
|
406 |
+
" length = len(tokens[0])\n",
|
407 |
+
" with torch.no_grad():\n",
|
408 |
+
" rest = model.generate(\n",
|
409 |
+
" input_ids=tokens,\n",
|
410 |
+
" max_length=length+instance['generate_len'],\n",
|
411 |
+
" use_cache=True,\n",
|
412 |
+
" do_sample=True,\n",
|
413 |
+
" top_p=instance['top_p'],\n",
|
414 |
+
" temperature=instance['temperature'],\n",
|
415 |
+
" top_k=instance['top_k']\n",
|
416 |
+
" )\n",
|
417 |
+
" output = rest[0][length:]\n",
|
418 |
+
" string = tokenizer.decode(output, skip_special_tokens=True)\n",
|
419 |
+
" return f'[!] Response: {string}'\n",
|
420 |
+
"\n",
|
421 |
+
"# Sample Test Instruction Used by Youtuber Sam Witteveen https://www.youtube.com/@samwitteveenai\n",
|
422 |
+
"system = 'You are an AI assistant that follows instruction extremely well. Help as much as you can.'\n",
|
423 |
+
"instruction = 'Write a letter to Sam Altman, CEO of OpenAI, requesting him to convert GPT4 a private model by OpenAI to an open source project'\n",
|
424 |
+
"print(generate_text(system, instruction))"
|
425 |
+
],
|
426 |
+
"metadata": {
|
427 |
+
"colab": {
|
428 |
+
"base_uri": "https://localhost:8080/",
|
429 |
+
"height": 319,
|
430 |
+
"referenced_widgets": [
|
431 |
+
"1830ab16750b4c7ebf5d1692a02e3544",
|
432 |
+
"de65aa83f07a48a98ecc54fd956c5831",
|
433 |
+
"93dad1c7c99b4a36a8df85fc2dff617e",
|
434 |
+
"098a2232a1f34d94ab4f61141733730f",
|
435 |
+
"79a38d122e4c4b2593b96151f5bce47e",
|
436 |
+
"d8e51c8c5d0b4698918e24b3aa32f492",
|
437 |
+
"b8d38b2204b94010acdd81a438c6c58c",
|
438 |
+
"1ac8c0d157144c48bae5444f35076192",
|
439 |
+
"818b9628fa4f4781922add05931a8503",
|
440 |
+
"920b4172ad2044eda1cdedb2af7c9ed7",
|
441 |
+
"8da0941661e7430d9dbb1984e19cb0ed"
|
442 |
+
]
|
443 |
+
},
|
444 |
+
"id": "c8FJEmZgUxqo",
|
445 |
+
"outputId": "ceca1b51-dd4d-4d61-bec9-42dd6f074cde"
|
446 |
+
},
|
447 |
+
"execution_count": 2,
|
448 |
+
"outputs": [
|
449 |
+
{
|
450 |
+
"output_type": "stream",
|
451 |
+
"name": "stderr",
|
452 |
+
"text": [
|
453 |
+
"WARNING:accelerate.utils.modeling:The model weights are not tied. Please use the `tie_weights` method before using the `infer_auto_device` function.\n"
|
454 |
+
]
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"output_type": "display_data",
|
458 |
+
"data": {
|
459 |
+
"text/plain": [
|
460 |
+
"Loading checkpoint shards: 0%| | 0/3 [00:00<?, ?it/s]"
|
461 |
+
],
|
462 |
+
"application/vnd.jupyter.widget-view+json": {
|
463 |
+
"version_major": 2,
|
464 |
+
"version_minor": 0,
|
465 |
+
"model_id": "1830ab16750b4c7ebf5d1692a02e3544"
|
466 |
+
}
|
467 |
+
},
|
468 |
+
"metadata": {}
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"output_type": "stream",
|
472 |
+
"name": "stdout",
|
473 |
+
"text": [
|
474 |
+
"[!] Response: Dear Sam Altman,\n",
|
475 |
+
"\n",
|
476 |
+
"I am writing to request that OpenAI makes GPT4, a private model developed by the company, a public open-source project. As an AI assistant, I understand the importance of open access to data and models in the field of AI.\n",
|
477 |
+
"\n",
|
478 |
+
"By making GPT4 a public open-source project, individuals and organizations from all over the world would be able to use and improve the model, leading to greater innovation and progress in the field of AI. This would also ensure that the model is not limited to the proprietary purposes of private companies, but can be used for the greater good of society.\n",
|
479 |
+
"\n",
|
480 |
+
"OpenAI has a history of releasing AI models in their beta form, which has led to significant advancements in the field of AI. By releasing GPT4 as a public open-source project, OpenAI can continue to make contributions to the field and benefit from the collective knowledge and expertise of the community.\n",
|
481 |
+
"\n",
|
482 |
+
"I urge OpenAI to consider this request and take the necessary steps to make GPT4 publicly available. Thank you for your attention to this matter.\n",
|
483 |
+
"\n",
|
484 |
+
"Sincerely,\n",
|
485 |
+
"\n",
|
486 |
+
"[Your Name]\n"
|
487 |
+
]
|
488 |
+
}
|
489 |
+
]
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"cell_type": "code",
|
493 |
+
"source": [],
|
494 |
+
"metadata": {
|
495 |
+
"id": "zGpuTBEEU66b"
|
496 |
+
},
|
497 |
+
"execution_count": 2,
|
498 |
+
"outputs": []
|
499 |
+
}
|
500 |
+
]
|
501 |
+
}
|