huseinzol05
commited on
Commit
•
fc620df
1
Parent(s):
eb269f1
Upload fix-llama3-instruct.ipynb
Browse files- fix-llama3-instruct.ipynb +445 -0
fix-llama3-instruct.ipynb
ADDED
@@ -0,0 +1,445 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": 1,
|
6 |
+
"id": "7ee919d4",
|
7 |
+
"metadata": {},
|
8 |
+
"outputs": [],
|
9 |
+
"source": [
|
10 |
+
"import os\n",
|
11 |
+
"\n",
|
12 |
+
"os.environ['CUDA_VISIBLE_DEVICES'] = ''\n",
|
13 |
+
"os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'"
|
14 |
+
]
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"cell_type": "code",
|
18 |
+
"execution_count": 2,
|
19 |
+
"id": "da0b7b04",
|
20 |
+
"metadata": {},
|
21 |
+
"outputs": [],
|
22 |
+
"source": [
|
23 |
+
"from transformers import AutoTokenizer, AutoModelForCausalLM\n",
|
24 |
+
"import torch"
|
25 |
+
]
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"cell_type": "code",
|
29 |
+
"execution_count": 3,
|
30 |
+
"id": "97b4ac94",
|
31 |
+
"metadata": {},
|
32 |
+
"outputs": [
|
33 |
+
{
|
34 |
+
"name": "stderr",
|
35 |
+
"output_type": "stream",
|
36 |
+
"text": [
|
37 |
+
"Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
|
38 |
+
]
|
39 |
+
}
|
40 |
+
],
|
41 |
+
"source": [
|
42 |
+
"tokenizer = AutoTokenizer.from_pretrained('meta-llama/Meta-Llama-3-8B-Instruct')"
|
43 |
+
]
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"cell_type": "code",
|
47 |
+
"execution_count": 4,
|
48 |
+
"id": "b9c98dca",
|
49 |
+
"metadata": {},
|
50 |
+
"outputs": [
|
51 |
+
{
|
52 |
+
"data": {
|
53 |
+
"application/vnd.jupyter.widget-view+json": {
|
54 |
+
"model_id": "689cdd6ffd264f1c88f0ed5f0ab092b7",
|
55 |
+
"version_major": 2,
|
56 |
+
"version_minor": 0
|
57 |
+
},
|
58 |
+
"text/plain": [
|
59 |
+
"tokenizer_config.json: 0%| | 0.00/50.9k [00:00<?, ?B/s]"
|
60 |
+
]
|
61 |
+
},
|
62 |
+
"metadata": {},
|
63 |
+
"output_type": "display_data"
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"data": {
|
67 |
+
"application/vnd.jupyter.widget-view+json": {
|
68 |
+
"model_id": "31fd6462bb704cee814751578090f928",
|
69 |
+
"version_major": 2,
|
70 |
+
"version_minor": 0
|
71 |
+
},
|
72 |
+
"text/plain": [
|
73 |
+
"tokenizer.json: 0%| | 0.00/9.08M [00:00<?, ?B/s]"
|
74 |
+
]
|
75 |
+
},
|
76 |
+
"metadata": {},
|
77 |
+
"output_type": "display_data"
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"data": {
|
81 |
+
"application/vnd.jupyter.widget-view+json": {
|
82 |
+
"model_id": "9ac644cb13c2482fafa223d2e6fea9c1",
|
83 |
+
"version_major": 2,
|
84 |
+
"version_minor": 0
|
85 |
+
},
|
86 |
+
"text/plain": [
|
87 |
+
"special_tokens_map.json: 0%| | 0.00/73.0 [00:00<?, ?B/s]"
|
88 |
+
]
|
89 |
+
},
|
90 |
+
"metadata": {},
|
91 |
+
"output_type": "display_data"
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"name": "stderr",
|
95 |
+
"output_type": "stream",
|
96 |
+
"text": [
|
97 |
+
"Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
|
98 |
+
]
|
99 |
+
}
|
100 |
+
],
|
101 |
+
"source": [
|
102 |
+
"fix_tokenizer = AutoTokenizer.from_pretrained('philschmid/meta-llama-3-tokenizer')"
|
103 |
+
]
|
104 |
+
},
|
105 |
+
{
|
106 |
+
"cell_type": "code",
|
107 |
+
"execution_count": 5,
|
108 |
+
"id": "c7f8cef4",
|
109 |
+
"metadata": {},
|
110 |
+
"outputs": [
|
111 |
+
{
|
112 |
+
"data": {
|
113 |
+
"text/plain": [
|
114 |
+
"128009"
|
115 |
+
]
|
116 |
+
},
|
117 |
+
"execution_count": 5,
|
118 |
+
"metadata": {},
|
119 |
+
"output_type": "execute_result"
|
120 |
+
}
|
121 |
+
],
|
122 |
+
"source": [
|
123 |
+
"tokenizer.eos_token = '<|eot_id|>'\n",
|
124 |
+
"tokenizer.eos_token_id"
|
125 |
+
]
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"cell_type": "code",
|
129 |
+
"execution_count": 6,
|
130 |
+
"id": "8e518761",
|
131 |
+
"metadata": {},
|
132 |
+
"outputs": [],
|
133 |
+
"source": [
|
134 |
+
"tokenizer.chat_template = fix_tokenizer.chat_template"
|
135 |
+
]
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"cell_type": "code",
|
139 |
+
"execution_count": 8,
|
140 |
+
"id": "5eda44ec",
|
141 |
+
"metadata": {},
|
142 |
+
"outputs": [
|
143 |
+
{
|
144 |
+
"data": {
|
145 |
+
"application/vnd.jupyter.widget-view+json": {
|
146 |
+
"model_id": "7276d6ee57214ca7ad20d2348da0bb34",
|
147 |
+
"version_major": 2,
|
148 |
+
"version_minor": 0
|
149 |
+
},
|
150 |
+
"text/plain": [
|
151 |
+
"config.json: 0%| | 0.00/654 [00:00<?, ?B/s]"
|
152 |
+
]
|
153 |
+
},
|
154 |
+
"metadata": {},
|
155 |
+
"output_type": "display_data"
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"data": {
|
159 |
+
"application/vnd.jupyter.widget-view+json": {
|
160 |
+
"model_id": "b7b776502fc04ee1b0f86ddfc0c1850d",
|
161 |
+
"version_major": 2,
|
162 |
+
"version_minor": 0
|
163 |
+
},
|
164 |
+
"text/plain": [
|
165 |
+
"model.safetensors.index.json: 0%| | 0.00/23.9k [00:00<?, ?B/s]"
|
166 |
+
]
|
167 |
+
},
|
168 |
+
"metadata": {},
|
169 |
+
"output_type": "display_data"
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"data": {
|
173 |
+
"application/vnd.jupyter.widget-view+json": {
|
174 |
+
"model_id": "d045e75e2416459881d0117ec51e31b3",
|
175 |
+
"version_major": 2,
|
176 |
+
"version_minor": 0
|
177 |
+
},
|
178 |
+
"text/plain": [
|
179 |
+
"Downloading shards: 0%| | 0/4 [00:00<?, ?it/s]"
|
180 |
+
]
|
181 |
+
},
|
182 |
+
"metadata": {},
|
183 |
+
"output_type": "display_data"
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"data": {
|
187 |
+
"application/vnd.jupyter.widget-view+json": {
|
188 |
+
"model_id": "6496935aaea94475a0d76551f6d7dc7b",
|
189 |
+
"version_major": 2,
|
190 |
+
"version_minor": 0
|
191 |
+
},
|
192 |
+
"text/plain": [
|
193 |
+
"model-00001-of-00004.safetensors: 0%| | 0.00/4.98G [00:00<?, ?B/s]"
|
194 |
+
]
|
195 |
+
},
|
196 |
+
"metadata": {},
|
197 |
+
"output_type": "display_data"
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"data": {
|
201 |
+
"application/vnd.jupyter.widget-view+json": {
|
202 |
+
"model_id": "9ffb8efad27c4af8bd3079b6e489f925",
|
203 |
+
"version_major": 2,
|
204 |
+
"version_minor": 0
|
205 |
+
},
|
206 |
+
"text/plain": [
|
207 |
+
"model-00002-of-00004.safetensors: 0%| | 0.00/5.00G [00:00<?, ?B/s]"
|
208 |
+
]
|
209 |
+
},
|
210 |
+
"metadata": {},
|
211 |
+
"output_type": "display_data"
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"data": {
|
215 |
+
"application/vnd.jupyter.widget-view+json": {
|
216 |
+
"model_id": "1cf61390b28041d086e8670c46f4104e",
|
217 |
+
"version_major": 2,
|
218 |
+
"version_minor": 0
|
219 |
+
},
|
220 |
+
"text/plain": [
|
221 |
+
"model-00003-of-00004.safetensors: 0%| | 0.00/4.92G [00:00<?, ?B/s]"
|
222 |
+
]
|
223 |
+
},
|
224 |
+
"metadata": {},
|
225 |
+
"output_type": "display_data"
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"data": {
|
229 |
+
"application/vnd.jupyter.widget-view+json": {
|
230 |
+
"model_id": "c7a43a747cc44617894cef08e0ab8e19",
|
231 |
+
"version_major": 2,
|
232 |
+
"version_minor": 0
|
233 |
+
},
|
234 |
+
"text/plain": [
|
235 |
+
"model-00004-of-00004.safetensors: 0%| | 0.00/1.17G [00:00<?, ?B/s]"
|
236 |
+
]
|
237 |
+
},
|
238 |
+
"metadata": {},
|
239 |
+
"output_type": "display_data"
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"data": {
|
243 |
+
"application/vnd.jupyter.widget-view+json": {
|
244 |
+
"model_id": "f4c37598b2e845a2bd5566d37dbab299",
|
245 |
+
"version_major": 2,
|
246 |
+
"version_minor": 0
|
247 |
+
},
|
248 |
+
"text/plain": [
|
249 |
+
"Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]"
|
250 |
+
]
|
251 |
+
},
|
252 |
+
"metadata": {},
|
253 |
+
"output_type": "display_data"
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"data": {
|
257 |
+
"application/vnd.jupyter.widget-view+json": {
|
258 |
+
"model_id": "37879d07cc1d4c15b45735d27eb48dc6",
|
259 |
+
"version_major": 2,
|
260 |
+
"version_minor": 0
|
261 |
+
},
|
262 |
+
"text/plain": [
|
263 |
+
"generation_config.json: 0%| | 0.00/187 [00:00<?, ?B/s]"
|
264 |
+
]
|
265 |
+
},
|
266 |
+
"metadata": {},
|
267 |
+
"output_type": "display_data"
|
268 |
+
}
|
269 |
+
],
|
270 |
+
"source": [
|
271 |
+
"model = AutoModelForCausalLM.from_pretrained('meta-llama/Meta-Llama-3-8B-Instruct', torch_dtype=torch.bfloat16)"
|
272 |
+
]
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"cell_type": "code",
|
276 |
+
"execution_count": 9,
|
277 |
+
"id": "a211b312",
|
278 |
+
"metadata": {},
|
279 |
+
"outputs": [
|
280 |
+
{
|
281 |
+
"data": {
|
282 |
+
"text/plain": [
|
283 |
+
"GenerationConfig {\n",
|
284 |
+
" \"bos_token_id\": 128000,\n",
|
285 |
+
" \"do_sample\": true,\n",
|
286 |
+
" \"eos_token_id\": 128009,\n",
|
287 |
+
" \"max_length\": 4096,\n",
|
288 |
+
" \"temperature\": 0.6,\n",
|
289 |
+
" \"top_p\": 0.9\n",
|
290 |
+
"}"
|
291 |
+
]
|
292 |
+
},
|
293 |
+
"execution_count": 9,
|
294 |
+
"metadata": {},
|
295 |
+
"output_type": "execute_result"
|
296 |
+
}
|
297 |
+
],
|
298 |
+
"source": [
|
299 |
+
"model.generation_config.eos_token_id = tokenizer.eos_token_id\n",
|
300 |
+
"model.generation_config"
|
301 |
+
]
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"cell_type": "code",
|
305 |
+
"execution_count": 10,
|
306 |
+
"id": "171423c0",
|
307 |
+
"metadata": {},
|
308 |
+
"outputs": [
|
309 |
+
{
|
310 |
+
"data": {
|
311 |
+
"application/vnd.jupyter.widget-view+json": {
|
312 |
+
"model_id": "93ae481de7784f91a689f83cfec8aed1",
|
313 |
+
"version_major": 2,
|
314 |
+
"version_minor": 0
|
315 |
+
},
|
316 |
+
"text/plain": [
|
317 |
+
"model-00003-of-00004.safetensors: 0%| | 0.00/4.92G [00:00<?, ?B/s]"
|
318 |
+
]
|
319 |
+
},
|
320 |
+
"metadata": {},
|
321 |
+
"output_type": "display_data"
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"data": {
|
325 |
+
"application/vnd.jupyter.widget-view+json": {
|
326 |
+
"model_id": "6d1ce6dfbf4940099de2c65d407500bb",
|
327 |
+
"version_major": 2,
|
328 |
+
"version_minor": 0
|
329 |
+
},
|
330 |
+
"text/plain": [
|
331 |
+
"model-00001-of-00004.safetensors: 0%| | 0.00/4.98G [00:00<?, ?B/s]"
|
332 |
+
]
|
333 |
+
},
|
334 |
+
"metadata": {},
|
335 |
+
"output_type": "display_data"
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"data": {
|
339 |
+
"application/vnd.jupyter.widget-view+json": {
|
340 |
+
"model_id": "56f0a27466d942da9ee3b32ce59d274b",
|
341 |
+
"version_major": 2,
|
342 |
+
"version_minor": 0
|
343 |
+
},
|
344 |
+
"text/plain": [
|
345 |
+
"model-00004-of-00004.safetensors: 0%| | 0.00/1.17G [00:00<?, ?B/s]"
|
346 |
+
]
|
347 |
+
},
|
348 |
+
"metadata": {},
|
349 |
+
"output_type": "display_data"
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"data": {
|
353 |
+
"application/vnd.jupyter.widget-view+json": {
|
354 |
+
"model_id": "5542c5c6796742aa8e2ad671373f989d",
|
355 |
+
"version_major": 2,
|
356 |
+
"version_minor": 0
|
357 |
+
},
|
358 |
+
"text/plain": [
|
359 |
+
"Upload 4 LFS files: 0%| | 0/4 [00:00<?, ?it/s]"
|
360 |
+
]
|
361 |
+
},
|
362 |
+
"metadata": {},
|
363 |
+
"output_type": "display_data"
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"data": {
|
367 |
+
"application/vnd.jupyter.widget-view+json": {
|
368 |
+
"model_id": "2703f658c0a144af8458386472f3331a",
|
369 |
+
"version_major": 2,
|
370 |
+
"version_minor": 0
|
371 |
+
},
|
372 |
+
"text/plain": [
|
373 |
+
"model-00002-of-00004.safetensors: 0%| | 0.00/5.00G [00:00<?, ?B/s]"
|
374 |
+
]
|
375 |
+
},
|
376 |
+
"metadata": {},
|
377 |
+
"output_type": "display_data"
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"data": {
|
381 |
+
"text/plain": [
|
382 |
+
"CommitInfo(commit_url='https://huggingface.co/huseinzol05/Meta-Llama-3-8B-Instruct-fix-tokenizer/commit/35ccfcb4478a2ffe1cc35769243b5f7ff7533aa2', commit_message='Upload LlamaForCausalLM', commit_description='', oid='35ccfcb4478a2ffe1cc35769243b5f7ff7533aa2', pr_url=None, pr_revision=None, pr_num=None)"
|
383 |
+
]
|
384 |
+
},
|
385 |
+
"execution_count": 10,
|
386 |
+
"metadata": {},
|
387 |
+
"output_type": "execute_result"
|
388 |
+
}
|
389 |
+
],
|
390 |
+
"source": [
|
391 |
+
"model.push_to_hub('Meta-Llama-3-8B-Instruct-fix-tokenizer', safe_serialization=True)"
|
392 |
+
]
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"cell_type": "code",
|
396 |
+
"execution_count": 13,
|
397 |
+
"id": "d947927c",
|
398 |
+
"metadata": {},
|
399 |
+
"outputs": [
|
400 |
+
{
|
401 |
+
"data": {
|
402 |
+
"text/plain": [
|
403 |
+
"CommitInfo(commit_url='https://huggingface.co/huseinzol05/Meta-Llama-3-8B-Instruct-fix-tokenizer/commit/eb269f1c20542c3900543925549656896fd9441d', commit_message='Upload tokenizer', commit_description='', oid='eb269f1c20542c3900543925549656896fd9441d', pr_url=None, pr_revision=None, pr_num=None)"
|
404 |
+
]
|
405 |
+
},
|
406 |
+
"execution_count": 13,
|
407 |
+
"metadata": {},
|
408 |
+
"output_type": "execute_result"
|
409 |
+
}
|
410 |
+
],
|
411 |
+
"source": [
|
412 |
+
"tokenizer.push_to_hub('Meta-Llama-3-8B-Instruct-fix-tokenizer', safe_serialization=True)"
|
413 |
+
]
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"cell_type": "code",
|
417 |
+
"execution_count": null,
|
418 |
+
"id": "63bb4f54",
|
419 |
+
"metadata": {},
|
420 |
+
"outputs": [],
|
421 |
+
"source": []
|
422 |
+
}
|
423 |
+
],
|
424 |
+
"metadata": {
|
425 |
+
"kernelspec": {
|
426 |
+
"display_name": "Python 3 (ipykernel)",
|
427 |
+
"language": "python",
|
428 |
+
"name": "python3"
|
429 |
+
},
|
430 |
+
"language_info": {
|
431 |
+
"codemirror_mode": {
|
432 |
+
"name": "ipython",
|
433 |
+
"version": 3
|
434 |
+
},
|
435 |
+
"file_extension": ".py",
|
436 |
+
"mimetype": "text/x-python",
|
437 |
+
"name": "python",
|
438 |
+
"nbconvert_exporter": "python",
|
439 |
+
"pygments_lexer": "ipython3",
|
440 |
+
"version": "3.10.12"
|
441 |
+
}
|
442 |
+
},
|
443 |
+
"nbformat": 4,
|
444 |
+
"nbformat_minor": 5
|
445 |
+
}
|