Upload merge.ipynb
Browse files- merge.ipynb +504 -0
merge.ipynb
ADDED
@@ -0,0 +1,504 @@
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1 |
+
{
|
2 |
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"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": null,
|
6 |
+
"metadata": {},
|
7 |
+
"outputs": [],
|
8 |
+
"source": [
|
9 |
+
"import torch\n",
|
10 |
+
"from transformers import AutoModelForCausalLM, AutoTokenizer"
|
11 |
+
]
|
12 |
+
},
|
13 |
+
{
|
14 |
+
"cell_type": "code",
|
15 |
+
"execution_count": null,
|
16 |
+
"metadata": {},
|
17 |
+
"outputs": [],
|
18 |
+
"source": [
|
19 |
+
"from safetensors.torch import save_file, load_file"
|
20 |
+
]
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"cell_type": "code",
|
24 |
+
"execution_count": null,
|
25 |
+
"metadata": {},
|
26 |
+
"outputs": [],
|
27 |
+
"source": [
|
28 |
+
"CACHE_DIR = \"/huggingface/cache\""
|
29 |
+
]
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"cell_type": "code",
|
33 |
+
"execution_count": null,
|
34 |
+
"metadata": {},
|
35 |
+
"outputs": [],
|
36 |
+
"source": [
|
37 |
+
"NEKOMATA_MODEL = \"rinna/nekomata-14b\"\n",
|
38 |
+
"QARASU_MODEL = \"lightblue/qarasu-14B-chat-plus-unleashed\"\n",
|
39 |
+
"QWEN_14B_MODEL = \"Qwen/Qwen-14B\""
|
40 |
+
]
|
41 |
+
},
|
42 |
+
{
|
43 |
+
"cell_type": "code",
|
44 |
+
"execution_count": null,
|
45 |
+
"metadata": {},
|
46 |
+
"outputs": [],
|
47 |
+
"source": [
|
48 |
+
"nekomata = AutoModelForCausalLM.from_pretrained(\n",
|
49 |
+
" NEKOMATA_MODEL,\n",
|
50 |
+
" cache_dir=CACHE_DIR,\n",
|
51 |
+
" torch_dtype=torch.bfloat16,\n",
|
52 |
+
" device_map=\"cpu\",\n",
|
53 |
+
" offload_folder=\"nekomata\",\n",
|
54 |
+
" offload_state_dict=True,\n",
|
55 |
+
" trust_remote_code=True,\n",
|
56 |
+
")\n",
|
57 |
+
"nekomata.eval()\n",
|
58 |
+
"nekomata.hf_device_map"
|
59 |
+
]
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"cell_type": "code",
|
63 |
+
"execution_count": null,
|
64 |
+
"metadata": {},
|
65 |
+
"outputs": [],
|
66 |
+
"source": [
|
67 |
+
"nekomata_state_dict = nekomata.state_dict().copy()"
|
68 |
+
]
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"cell_type": "code",
|
72 |
+
"execution_count": null,
|
73 |
+
"metadata": {},
|
74 |
+
"outputs": [],
|
75 |
+
"source": [
|
76 |
+
"for key in nekomata_state_dict.keys():\n",
|
77 |
+
" nekomata_value = nekomata_state_dict[key].clone().to(\"cpu\")\n",
|
78 |
+
" print(key, nekomata_value.dtype, nekomata_value.shape, nekomata_value)\n",
|
79 |
+
" break"
|
80 |
+
]
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"cell_type": "code",
|
84 |
+
"execution_count": null,
|
85 |
+
"metadata": {},
|
86 |
+
"outputs": [],
|
87 |
+
"source": [
|
88 |
+
"save_file(nekomata_state_dict, \"./nekomata_state.safetensors\")"
|
89 |
+
]
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"cell_type": "markdown",
|
93 |
+
"metadata": {},
|
94 |
+
"source": [
|
95 |
+
"**Restart Runtime**\n"
|
96 |
+
]
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"cell_type": "code",
|
100 |
+
"execution_count": null,
|
101 |
+
"metadata": {},
|
102 |
+
"outputs": [],
|
103 |
+
"source": [
|
104 |
+
"qarasu = AutoModelForCausalLM.from_pretrained(\n",
|
105 |
+
" QARASU_MODEL,\n",
|
106 |
+
" cache_dir=CACHE_DIR,\n",
|
107 |
+
" torch_dtype=torch.bfloat16,\n",
|
108 |
+
" device_map=\"cpu\",\n",
|
109 |
+
" offload_folder=\"qarasu\",\n",
|
110 |
+
" offload_state_dict=True,\n",
|
111 |
+
" trust_remote_code=True,\n",
|
112 |
+
")\n",
|
113 |
+
"qarasu.eval()\n",
|
114 |
+
"qarasu.hf_device_map"
|
115 |
+
]
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"cell_type": "markdown",
|
119 |
+
"metadata": {},
|
120 |
+
"source": [
|
121 |
+
"**Restart Runtime**\n"
|
122 |
+
]
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"cell_type": "code",
|
126 |
+
"execution_count": null,
|
127 |
+
"metadata": {},
|
128 |
+
"outputs": [],
|
129 |
+
"source": [
|
130 |
+
"qarasu_state_dict = qarasu.state_dict().copy()"
|
131 |
+
]
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"cell_type": "code",
|
135 |
+
"execution_count": null,
|
136 |
+
"metadata": {},
|
137 |
+
"outputs": [],
|
138 |
+
"source": [
|
139 |
+
"for key in qarasu_state_dict.keys():\n",
|
140 |
+
" qarasu_value = qarasu_state_dict[key].clone().to(\"cpu\")\n",
|
141 |
+
" print(key, qarasu_value.dtype, qarasu_value.shape, qarasu_value)\n",
|
142 |
+
" break"
|
143 |
+
]
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"cell_type": "code",
|
147 |
+
"execution_count": null,
|
148 |
+
"metadata": {},
|
149 |
+
"outputs": [],
|
150 |
+
"source": [
|
151 |
+
"save_file(qarasu_state_dict, \"./qarasu_state.safetensors\")"
|
152 |
+
]
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"cell_type": "markdown",
|
156 |
+
"metadata": {},
|
157 |
+
"source": [
|
158 |
+
"**Restart Runtime**\n"
|
159 |
+
]
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"cell_type": "code",
|
163 |
+
"execution_count": null,
|
164 |
+
"metadata": {},
|
165 |
+
"outputs": [],
|
166 |
+
"source": [
|
167 |
+
"qwen14b = AutoModelForCausalLM.from_pretrained(\n",
|
168 |
+
" QWEN_14B_MODEL,\n",
|
169 |
+
" cache_dir=CACHE_DIR,\n",
|
170 |
+
" torch_dtype=torch.bfloat16,\n",
|
171 |
+
" device_map=\"cpu\",\n",
|
172 |
+
" offload_folder=\"qwen\",\n",
|
173 |
+
" offload_state_dict=True,\n",
|
174 |
+
" trust_remote_code=True,\n",
|
175 |
+
")\n",
|
176 |
+
"qwen14b.eval()\n",
|
177 |
+
"qwen14b.hf_device_map"
|
178 |
+
]
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"cell_type": "code",
|
182 |
+
"execution_count": null,
|
183 |
+
"metadata": {},
|
184 |
+
"outputs": [],
|
185 |
+
"source": [
|
186 |
+
"qwen14b_state_dict = qwen14b.state_dict().copy()"
|
187 |
+
]
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"cell_type": "code",
|
191 |
+
"execution_count": null,
|
192 |
+
"metadata": {},
|
193 |
+
"outputs": [],
|
194 |
+
"source": [
|
195 |
+
"save_file(qwen14b_state_dict, \"./qwen14b_state.safetensors\")"
|
196 |
+
]
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"cell_type": "markdown",
|
200 |
+
"metadata": {},
|
201 |
+
"source": [
|
202 |
+
"**Restart Runtime**\n"
|
203 |
+
]
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"cell_type": "code",
|
207 |
+
"execution_count": null,
|
208 |
+
"metadata": {},
|
209 |
+
"outputs": [],
|
210 |
+
"source": [
|
211 |
+
"import torch"
|
212 |
+
]
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"cell_type": "code",
|
216 |
+
"execution_count": null,
|
217 |
+
"metadata": {},
|
218 |
+
"outputs": [],
|
219 |
+
"source": [
|
220 |
+
"from safetensors.torch import save_file, load_file"
|
221 |
+
]
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"cell_type": "code",
|
225 |
+
"execution_count": null,
|
226 |
+
"metadata": {},
|
227 |
+
"outputs": [],
|
228 |
+
"source": [
|
229 |
+
"nekomata_state_dict = load_file(\"./nekomata_state.safetensors\", device=\"cpu\")"
|
230 |
+
]
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"cell_type": "code",
|
234 |
+
"execution_count": null,
|
235 |
+
"metadata": {},
|
236 |
+
"outputs": [],
|
237 |
+
"source": [
|
238 |
+
"qarasu_state_dict = load_file(\"./qarasu_state.safetensors\", device=\"cpu\")"
|
239 |
+
]
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"cell_type": "code",
|
243 |
+
"execution_count": null,
|
244 |
+
"metadata": {},
|
245 |
+
"outputs": [],
|
246 |
+
"source": [
|
247 |
+
"new_state_dict = nekomata_state_dict\n",
|
248 |
+
"\n",
|
249 |
+
"with torch.no_grad():\n",
|
250 |
+
" for key in nekomata_state_dict.keys():\n",
|
251 |
+
" print(key)\n",
|
252 |
+
"\n",
|
253 |
+
" new_state_dict[key] = (\n",
|
254 |
+
" new_state_dict[key].to(\"cuda\") + qarasu_state_dict[key].to(\"cuda\")\n",
|
255 |
+
" ).to(\"cpu\")\n",
|
256 |
+
"\n",
|
257 |
+
"new_state_dict"
|
258 |
+
]
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"cell_type": "code",
|
262 |
+
"execution_count": null,
|
263 |
+
"metadata": {},
|
264 |
+
"outputs": [],
|
265 |
+
"source": [
|
266 |
+
"del nekomata_state_dict, qarasu_state_dict"
|
267 |
+
]
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"cell_type": "code",
|
271 |
+
"execution_count": null,
|
272 |
+
"metadata": {},
|
273 |
+
"outputs": [],
|
274 |
+
"source": [
|
275 |
+
"torch.cuda.empty_cache()"
|
276 |
+
]
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"cell_type": "code",
|
280 |
+
"execution_count": null,
|
281 |
+
"metadata": {},
|
282 |
+
"outputs": [],
|
283 |
+
"source": [
|
284 |
+
"save_file(new_state_dict, \"./nekomata+qarasu_state.safetensors\")"
|
285 |
+
]
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"cell_type": "markdown",
|
289 |
+
"metadata": {},
|
290 |
+
"source": [
|
291 |
+
"**Restart Runtime**\n"
|
292 |
+
]
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"cell_type": "code",
|
296 |
+
"execution_count": null,
|
297 |
+
"metadata": {},
|
298 |
+
"outputs": [],
|
299 |
+
"source": [
|
300 |
+
"import torch\n",
|
301 |
+
"from safetensors.torch import load_file, save_file"
|
302 |
+
]
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"cell_type": "code",
|
306 |
+
"execution_count": null,
|
307 |
+
"metadata": {},
|
308 |
+
"outputs": [],
|
309 |
+
"source": [
|
310 |
+
"nekomata_qarasu_state_dict = load_file(\n",
|
311 |
+
" \"./nekomata+qarasu_state.safetensors\", device=\"cpu\"\n",
|
312 |
+
")"
|
313 |
+
]
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"cell_type": "code",
|
317 |
+
"execution_count": null,
|
318 |
+
"metadata": {},
|
319 |
+
"outputs": [],
|
320 |
+
"source": [
|
321 |
+
"qwen14b_state_dict = load_file(\"./qwen14b_state.safetensors\", device=\"cpu\")"
|
322 |
+
]
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"cell_type": "code",
|
326 |
+
"execution_count": null,
|
327 |
+
"metadata": {},
|
328 |
+
"outputs": [],
|
329 |
+
"source": [
|
330 |
+
"# キー名が同じことを確認\n",
|
331 |
+
"for neko_key, qwen14b_key in zip(\n",
|
332 |
+
" nekomata_qarasu_state_dict.keys(), qwen14b_state_dict.keys()\n",
|
333 |
+
"):\n",
|
334 |
+
" assert neko_key == qwen14b_key"
|
335 |
+
]
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"cell_type": "code",
|
339 |
+
"execution_count": null,
|
340 |
+
"metadata": {},
|
341 |
+
"outputs": [],
|
342 |
+
"source": [
|
343 |
+
"new_state_dict = nekomata_qarasu_state_dict\n",
|
344 |
+
"\n",
|
345 |
+
"with torch.no_grad():\n",
|
346 |
+
" for key in new_state_dict.keys():\n",
|
347 |
+
" print(key)\n",
|
348 |
+
"\n",
|
349 |
+
" new_state_dict[key] = (\n",
|
350 |
+
" new_state_dict[key].to(\"cuda\") - qwen14b_state_dict[key].to(\"cuda\")\n",
|
351 |
+
" ).to(\"cpu\")\n",
|
352 |
+
"\n",
|
353 |
+
"new_state_dict"
|
354 |
+
]
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"cell_type": "code",
|
358 |
+
"execution_count": null,
|
359 |
+
"metadata": {},
|
360 |
+
"outputs": [],
|
361 |
+
"source": [
|
362 |
+
"save_file(new_state_dict, \"./nekoqarasu_state.safetensors\")"
|
363 |
+
]
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"cell_type": "markdown",
|
367 |
+
"metadata": {},
|
368 |
+
"source": [
|
369 |
+
"**Restart Runtime**\n"
|
370 |
+
]
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"cell_type": "code",
|
374 |
+
"execution_count": null,
|
375 |
+
"metadata": {},
|
376 |
+
"outputs": [],
|
377 |
+
"source": [
|
378 |
+
"import torch\n",
|
379 |
+
"from transformers import AutoTokenizer, AutoConfig, AutoModelForCausalLM"
|
380 |
+
]
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"cell_type": "code",
|
384 |
+
"execution_count": null,
|
385 |
+
"metadata": {},
|
386 |
+
"outputs": [],
|
387 |
+
"source": [
|
388 |
+
"CACHE_DIR = \"/huggingface/cache\""
|
389 |
+
]
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"cell_type": "code",
|
393 |
+
"execution_count": null,
|
394 |
+
"metadata": {},
|
395 |
+
"outputs": [],
|
396 |
+
"source": [
|
397 |
+
"QWEN_14B_CHAT_MODEL = \"Qwen/Qwen-14B-Chat\""
|
398 |
+
]
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"cell_type": "code",
|
402 |
+
"execution_count": null,
|
403 |
+
"metadata": {},
|
404 |
+
"outputs": [],
|
405 |
+
"source": [
|
406 |
+
"qwen_chat_config = AutoConfig.from_pretrained(\n",
|
407 |
+
" QWEN_14B_CHAT_MODEL, trust_remote_code=True, cache_dir=CACHE_DIR\n",
|
408 |
+
")"
|
409 |
+
]
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"cell_type": "code",
|
413 |
+
"execution_count": null,
|
414 |
+
"metadata": {},
|
415 |
+
"outputs": [],
|
416 |
+
"source": [
|
417 |
+
"nekoqarasu = AutoModelForCausalLM.from_config(\n",
|
418 |
+
" qwen_chat_config,\n",
|
419 |
+
" trust_remote_code=True,\n",
|
420 |
+
")"
|
421 |
+
]
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"cell_type": "code",
|
425 |
+
"execution_count": null,
|
426 |
+
"metadata": {},
|
427 |
+
"outputs": [],
|
428 |
+
"source": [
|
429 |
+
"from safetensors.torch import load_file"
|
430 |
+
]
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"cell_type": "code",
|
434 |
+
"execution_count": null,
|
435 |
+
"metadata": {},
|
436 |
+
"outputs": [],
|
437 |
+
"source": [
|
438 |
+
"state_dict = load_file(\"./nekoqarasu_state.safetensors\", device=\"cpu\")"
|
439 |
+
]
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"cell_type": "code",
|
443 |
+
"execution_count": null,
|
444 |
+
"metadata": {},
|
445 |
+
"outputs": [],
|
446 |
+
"source": [
|
447 |
+
"nekoqarasu.load_state_dict(\n",
|
448 |
+
" state_dict,\n",
|
449 |
+
" strict=False,\n",
|
450 |
+
")"
|
451 |
+
]
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"cell_type": "code",
|
455 |
+
"execution_count": null,
|
456 |
+
"metadata": {},
|
457 |
+
"outputs": [],
|
458 |
+
"source": [
|
459 |
+
"nekoqarasu.push_to_hub(\"nekoqarasu-14b-chat\", private=True)"
|
460 |
+
]
|
461 |
+
},
|
462 |
+
{
|
463 |
+
"cell_type": "code",
|
464 |
+
"execution_count": null,
|
465 |
+
"metadata": {},
|
466 |
+
"outputs": [],
|
467 |
+
"source": [
|
468 |
+
"tokenizer = AutoTokenizer.from_pretrained(\n",
|
469 |
+
" QWEN_14B_CHAT_MODEL, cache_dir=CACHE_DIR, trust_remote_code=True\n",
|
470 |
+
")"
|
471 |
+
]
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"cell_type": "code",
|
475 |
+
"execution_count": null,
|
476 |
+
"metadata": {},
|
477 |
+
"outputs": [],
|
478 |
+
"source": [
|
479 |
+
"tokenizer.push_to_hub(\"nekoqarasu-14b-chat\", private=True)"
|
480 |
+
]
|
481 |
+
}
|
482 |
+
],
|
483 |
+
"metadata": {
|
484 |
+
"kernelspec": {
|
485 |
+
"display_name": "py310",
|
486 |
+
"language": "python",
|
487 |
+
"name": "python3"
|
488 |
+
},
|
489 |
+
"language_info": {
|
490 |
+
"codemirror_mode": {
|
491 |
+
"name": "ipython",
|
492 |
+
"version": 3
|
493 |
+
},
|
494 |
+
"file_extension": ".py",
|
495 |
+
"mimetype": "text/x-python",
|
496 |
+
"name": "python",
|
497 |
+
"nbconvert_exporter": "python",
|
498 |
+
"pygments_lexer": "ipython3",
|
499 |
+
"version": "3.10.10"
|
500 |
+
}
|
501 |
+
},
|
502 |
+
"nbformat": 4,
|
503 |
+
"nbformat_minor": 2
|
504 |
+
}
|