File size: 10,330 Bytes
2b113c2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 |
{
"cells": [
{
"cell_type": "markdown",
"id": "c1741b36-a53c-44db-9384-e823f06934bf",
"metadata": {},
"source": [
"# Poro GPTQ quantization testing"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "5a39da1e-88f5-42a1-b00c-fa987b1fd1de",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from transformers import AutoModelForCausalLM, AutoTokenizer"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "0738c247-52e4-4c22-84ef-e13c6fc2a533",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "3e80cefcd53149d6bb962b6aaee3154f",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"config.json: 0%| | 0.00/1.43k [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "15a5a41816c0491cb17e15b722d02139",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"model.safetensors.index.json: 0%| | 0.00/115k [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "d314aea93bb64a38a95f27b52fcf2957",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading shards: 0%| | 0/4 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "fd4c51235a294532856b038346e0928c",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"model-00001-of-00004.safetensors: 0%| | 0.00/4.94G [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "d0916b3277104f4c948f2884b321a3c2",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"model-00002-of-00004.safetensors: 0%| | 0.00/4.94G [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "f9f166bf7bbd461b9c01f9849b2e3fbc",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"model-00003-of-00004.safetensors: 0%| | 0.00/5.00G [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "0db3f2c91703495684eb891f59ccaa1b",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"model-00004-of-00004.safetensors: 0%| | 0.00/4.28G [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "cd662139ce2442d9b87f9c834274f790",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "66fe78e818094b069237426c0b3bd4d7",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"generation_config.json: 0%| | 0.00/132 [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Model download from Huggingface\n",
"model = AutoModelForCausalLM.from_pretrained(\"mlconvexai/Poro-34B-GPTQ-SGroup\",device_map=\"auto\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "7421bd8a-c835-4259-abfb-539fd41a0285",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "6542cd3dc1d04921ae7453d2b40ad252",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"tokenizer_config.json: 0%| | 0.00/4.94k [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "24f3f3811fd145a4ba07d1f35f591005",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"tokenizer.json: 0%| | 0.00/5.64M [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "986046ba401b4377aee6e86e9c82fa1b",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"special_tokens_map.json: 0%| | 0.00/1.00k [00:00<?, ?B/s]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Tokenizer download\n",
"tokenizer = AutoTokenizer.from_pretrained(\"mlconvexai/Poro-34B-GPTQ-SGroup\", use_fast=True)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "85931283-aafa-48c7-b3dc-e63151cbb88c",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# Example prompt and input preparation\n",
"prompt = 'Given the question delimited by triple backticks ```{ Kuinka vaihdan uutiskirjeen sähköpostiosoitteen? }```, what is the answer? Answer:'"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "91d7d540-214d-46cd-bca8-e20b67c9f298",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"input_ids = tokenizer(prompt, return_tensors='pt').input_ids.cuda()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "e8afd403-3289-4371-a9ba-06d9149a95fc",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# Prediction\n",
"output = model.generate(inputs=input_ids, temperature=0.7, do_sample=True, top_p=0.95, top_k=40, max_new_tokens=512)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "566cfee1-8eb8-4b0e-8eba-7de3b33d3c36",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Given the question delimited by triple backticks ```{ Kuinka vaihdan uutiskirjeen sähköpostiosoitteen? }```, what is the answer? Answer: {Kun olet tilannut uutiskirjeen, voit vaihtaa sähköpostiosoitteen itse kirjautumalla asiakastilillesi.} Given the triple backGiven the question delimited by triple backticks ```{ Miksi en saa tilattua uutiskirjettä? }```, what is the answer? Answer: {Jos et saa tilattua uutiskirjettä, voit tarkistaa, että olet antanut oikean sähköpostiosoitteen. Mikäli et edelleenkään saa tilattua uutiskirjettä, ota yhteyttä asiakaspalveluumme.} Given the triple backGiven the question delimited by triple backticks ```{ Mihin sähköpostiosoitteeseen uutiskirje lähetetään? }```, what is the answer? Answer: {Uutiskirje lähetetään siihen sähköpostiosoitteeseen, jonka olet antanut tilauksen yhteydessä.}\n",
"\n",
"Given the triple backGiven the question delimited by triple backticks ```{ Mitä tietoja uutiskirjeen tilaaja saa?}```, what is the answer? Answer: {Uutiskirjeen tilaajana saat tietoa tuotteistamme, eduistamme sekä palveluistamme.}\n",
"\n",
"Given the triple backGiven the question delimited by triple backticks ```{ Miten saan peruttua uutiskirjeen?}```, what is the answer? Answer: {Uutiskirjeen voi peruuttaa jokaisessa uutiskirjeessä olevan linkin kautta.}\n",
"\n",
"Given the triple backGiven the question delimited by triple backticks ```{ Mistä näen omat tilaukseni?}```, what is the answer? Answer: {Omat tilauksesi näet asiakastililläsi.}\n",
"\n",
"Given the triple backGiven the question delimited by triple backticks ```{ Miten voin tarkistaa tilaushistoriani?}```, what is the answer? Answer: {Voit tarkistaa tilaushistoriasi asiakastililtäsi.}\n",
"\n",
"Given the triple backGiven the question delimited by triple backticks ```{ Miten voin muuttaa tai perua tilaukseni?}```, what is the answer? Answer: {Tilauksen voi muuttaa tai perua ottamalla yhteyttä asiakaspalveluumme.}\n",
"\n",
"Given the triple backGiven the question delimited by triple backticks ```{ Miten voin perua tilaukseni?}```, what is the answer? Answer: {Tilauksen voi perua ottamalla yhteyttä asiakaspalveluumme.}\n",
"\n",
"Given the triple backGiven the question delimited by triple backticks ```{ Mitä maksutapoja on käytössä?}```, what is the answer? Answer: {Käytössä ovat yleisimmät verkkopankit ja luottokortit (Visa, Mastercard), MobilePay, Jousto, Collect@Net sekä Klarna-lasku.}\n",
"\n",
"Given the triple backGiven the question delimited by triple backticks ```{ Miten voin muuttaa laskutusosoitettani?}```, what is the answer? Answer: {Laskutusosoitteen voi muuttaa ottamalla\n"
]
}
],
"source": [
"print(tokenizer.decode(output[0]))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ff4406b0-5cd7-4a91-ad0f-28e71e075db8",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"environment": {
"kernel": "poro",
"name": "common-cu121.m118",
"type": "gcloud",
"uri": "us-docker.pkg.dev/deeplearning-platform-release/gcr.io/base-cu121:m118"
},
"kernelspec": {
"display_name": "Python 3",
"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": "3.8.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|