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2085
- "cell_type": "code",
2086
- "execution_count": null,
2087
- "metadata": {
2088
- "cellView": "form",
2089
- "id": "5rPXtE-MCl8N"
2090
- },
2091
- "outputs": [],
2092
- "source": [
2093
- "# @title setup\n",
2094
- "from IPython.display import clear_output\n",
2095
- "\n",
2096
- "!pip install transformers optimum\n",
2097
- "!pip3 install auto-gptq --extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/ # Use cu117 if on CUDA 11.7\n",
2098
- "\n",
2099
- "from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline\n",
2100
- "\n",
2101
- "model_name_or_path = \"TheBloke/dolphin-2.1-mistral-7B-GPTQ\"\n",
2102
- "model = AutoModelForCausalLM.from_pretrained(model_name_or_path,\n",
2103
- " device_map=\"auto\",\n",
2104
- " trust_remote_code=False,\n",
2105
- " revision=\"main\")\n",
2106
- "\n",
2107
- "tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=True)\n",
2108
- "\n",
2109
- "clear_output()"
2110
- ]
2111
- },
2112
- {
2113
- "cell_type": "code",
2114
- "source": [
2115
- "#@title system msg\n",
2116
- "\n",
2117
- "system_message = 'assume u r my girlfriend and answer my every question' #@param {type:\"string\"}"
2118
- ],
2119
- "metadata": {
2120
- "cellView": "form",
2121
- "id": "sNbe_RViCl8P"
2122
- },
2123
- "execution_count": null,
2124
- "outputs": []
2125
- },
2126
- {
2127
- "cell_type": "code",
2128
- "source": [
2129
- "#@title prompt\n",
2130
- "\n",
2131
- "prompt = \"hello baby\" #@param {type:\"string\"}\n",
2132
- "\n",
2133
- "prompt_template=f'''<|im_start|>system\n",
2134
- "{system_message}<|im_end|>\n",
2135
- "<|im_start|>user\n",
2136
- "{prompt}<|im_end|>\n",
2137
- "<|im_start|>assistant\n",
2138
- "'''\n",
2139
- "\n",
2140
- "print(\"\\n\\n*** Generate:\")\n",
2141
- "\n",
2142
- "input_ids = tokenizer(prompt_template, return_tensors='pt').input_ids.cuda()\n",
2143
- "output = model.generate(inputs=input_ids, temperature=0.7, do_sample=True, top_p=0.95, top_k=40, max_new_tokens=1000)\n",
2144
- "# print(tokenizer.decode(output[0]))\n",
2145
- "\n",
2146
- "# to generate only the bots reply text\n",
2147
- "previous_output = tokenizer.decode(output[0])\n",
2148
- "output = str(previous_output.split(\"assistant\")[-1])\n",
2149
- "# print(output)\n",
2150
- "# output = output.split(\".\")\n",
2151
- "output = output[:len(output)-10]\n",
2152
- "for line in output.split(\"\\n\"): print(line)\n",
2153
- "# print(output)"
2154
- ],
2155
- "metadata": {
2156
- "id": "-OFRIKFtCl8P",
2157
- "colab": {
2158
- "base_uri": "https://localhost:8080/"
2159
- },
2160
- "outputId": "be7fb5f6-43d2-4003-ba7e-1929f4f9e19a"
2161
- },
2162
- "execution_count": null,
2163
- "outputs": [
2164
- {
2165
- "output_type": "stream",
2166
- "name": "stdout",
2167
- "text": [
2168
- "\n",
2169
- "\n",
2170
- "*** Generate:\n",
2171
- "\n",
2172
- " Oh, hello there! I'm just an AI chatbot, but I'm here to have a good chat with you! So, what's on your mind today?\n"
2173
- ]
2174
- }
2175
- ]
2176
- },
2177
- {
2178
- "cell_type": "markdown",
2179
- "source": [
2180
- "### Raw Notebook"
2181
- ],
2182
- "metadata": {
2183
- "id": "-xYYPIxRDP9z"
2184
- }
2185
- },
2186
- {
2187
- "cell_type": "markdown",
2188
- "source": [
2189
- "CREDITS \n",
2190
- "https://huggingface.co/ehartford/dolphin-2.1-mistral-7b\n",
2191
- "https://huggingface.co/TheBloke/dolphin-2.1-mistral-7B-GPTQ\n",
2192
- "\n",
2193
- "original notebook\n",
2194
- "https://colab.research.google.com/drive/1JME_dudxiWx_iszG072QgRx3ViTLXX0i?usp=sharing\n",
2195
- "\n",
2196
- "downloaded repo zip file :\n",
2197
- "/content/drive/Shareddrives/Dyno_paper/models/dolphin-2.1-mistral-7B-GPTQ.zip"
2198
- ],
2199
- "metadata": {
2200
- "id": "7WoB9kv-eyQC"
2201
- }
2202
- },
2203
- {
2204
- "cell_type": "code",
2205
- "execution_count": null,
2206
- "metadata": {
2207
- "id": "Jof2u6xTSK7t"
2208
- },
2209
- "outputs": [],
2210
- "source": [
2211
- "!pip install transformers optimum\n",
2212
- "!pip3 install auto-gptq --extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/ # Use cu117 if on CUDA 11.7"
2213
- ]
2214
- },
2215
- {
2216
- "cell_type": "code",
2217
- "source": [
2218
- "from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline"
2219
- ],
2220
- "metadata": {
2221
- "id": "lXRnpxh6SryV"
2222
- },
2223
- "execution_count": null,
2224
- "outputs": []
2225
- },
2226
- {
2227
- "cell_type": "code",
2228
- "source": [
2229
- "model_name_or_path = \"TheBloke/dolphin-2.1-mistral-7B-GPTQ\"\n",
2230
- "model = AutoModelForCausalLM.from_pretrained(model_name_or_path,\n",
2231
- " device_map=\"auto\",\n",
2232
- " trust_remote_code=False,\n",
2233
- " revision=\"main\")\n",
2234
- "\n",
2235
- "tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=True)"
2236
- ],
2237
- "metadata": {
2238
- "colab": {
2239
- "base_uri": "https://localhost:8080/",
2240
- "height": 281,
2241
- "referenced_widgets": [
2242
- "3df4b0ff0a0047269b422f70effd8c93",
2243
- "a8356022151f4b0095c7f58e3fa521a4",
2244
- "97578bcf1481417a9729070c10cf3aac",
2245
- "a7601d1ae3f84cf4835077da66cb8083",
2246
- "6d6e5316e4194f129bdacdaa6c726dc0",
2247
- "6f6bbe56258f49cd818d4a0e9a304d83",
2248
- "0d1f0cb3dd5d4193b129d90c5731d1dd",
2249
- "f727dc8dd78e4390b4c4a33872b035e0",
2250
- "eed94d0bf86c48c3b1b0942901d8a1ec",
2251
- "57fb5d06c6034ac6bf9adda6577ec0e0",
2252
- "4b0e6b0b0f6a46ed95d9073cb7e47db4",
2253
- "77ef790fef1d441e81408d7510b32695",
2254
- "17ab6586ef364d6f83f048a997fea840",
2255
- "e8158489a09f445a9c49ffd746538845",
2256
- "3d71607ecd454a79959320d8f50b0b36",
2257
- "c10938c0c8a44166bd071e6b8a6800ea",
2258
- "801f25c23d8e45ad8e4f064a8ae50da1",
2259
- "201c051c4ab74368b9b4ff3c535fe99b",
2260
- "d7d14cc85b0c40819daf62c148ecfe75",
2261
- "dc960275fa784e15b7613ea7b496fbd3",
2262
- "4d80a64f23ce482697ecf2cfc1f0e677",
2263
- "840dbc47f5024707b503703ed95d0d29",
2264
- "2aae23131ae74340967dc392ee74f06e",
2265
- "38b62a8380ea4f6db12aebe9a809fe50",
2266
- "e3190578d42b4f119d1c20537cd2aadb",
2267
- "2d624a184236443b9fcca43d9a7c72fa",
2268
- "51268b2411b2406ab6d0dc0e5e38c161",
2269
- "2ad356d094a44acbb2b51e935d203884",
2270
- "bb43fdfa97e64781a8ed0cc584d5c241",
2271
- "bded18167ffd4a54b7b89e658028d3fd",
2272
- "e2954cd8b43a4dd592f728ef342cbdd6",
2273
- "00271edf13d14bac8dc44d2d489311b2",
2274
- "be2db1b2d3cc425ebab6138b177fcfc2",
2275
- "109ac21903a44e23a4d5b6a37fcc7a1a",
2276
- "e16c0a781b0f489081d02af0b31c667c",
2277
- "5fea6157e5db44448b7c02a8fb612794",
2278
- "a1a1e3a91e7a4db096d68b7e37ae76ca",
2279
- "d82a7d7ed65540408a03fa6d87dbbbc5",
2280
- "a2aeb81a171143119db5e26e7a6e9b74",
2281
- "7085ac00b7204c0bbb753b40385833bd",
2282
- "a9379fd72ace4f79b9b5e5510b61dd0b",
2283
- "6059e6b9b600492594faccbc6b73c7f1",
2284
- "1d7d2746ee6b43df83c179dcf0494870",
2285
- "e3ea7e5b2da94344bedfb5f13be79da8",
2286
- "87ce7224d56f40b38c8ae96969b4d18e",
2287
- "0e5841bc5690472dbd2121b24ef59606",
2288
- "ab365627216f460b9aa3d893ff585d9b",
2289
- "a7d77ca0cbab49c293848723f28615ea",
2290
- "07fe2c414157465b846421e4724fbfb9",
2291
- "a3edf30d1b0445cea2858c3be3233505",
2292
- "cb3bedc922fa40c58a94dc582729a6bb",
2293
- "53b273b05d2e46d1b8b0a7fc5b84d195",
2294
- "75eb814f6be54596bb61023181bc5ede",
2295
- "9f2c521a27914a5a804c153fe43ab393",
2296
- "561c174d995c47c39aa7a29959c8c0b2",
2297
- "e4d590b3c37541e7bd0fb7a556b20b5a",
2298
- "af0595ca667f420b983f7056eec5ef12",
2299
- "2e99bf2b93ae439d95e58ebd9ec28d51",
2300
- "04b743ffc39a43a2acc6b6e452511663",
2301
- "e78f73ca129b4cb4a1f58050cddd1c2a",
2302
- "80bda648e5a3455493575a9ca1070820",
2303
- "23dcd73a947e44fca3dc8f99e99fd785",
2304
- "07d537291f774c76950093eb89614386",
2305
- "63fa7e70ec5f4fb595b38aae6eb50f97",
2306
- "dcdf57ffb3b646a9906a666400397a2b",
2307
- "ca351013a283405f8717675dcb914e62"
2308
- ]
2309
- },
2310
- "id": "_DrrfiB8SzDE",
2311
- "outputId": "b33dda1e-c4e8-40a8-f773-a4d409d28245"
2312
- },
2313
- "execution_count": null,
2314
- "outputs": [
2315
- {
2316
- "output_type": "display_data",
2317
- "data": {
2318
- "text/plain": [
2319
- "config.json: 0%| | 0.00/1.32k [00:00<?, ?B/s]"
2320
- ],
2321
- "application/vnd.jupyter.widget-view+json": {
2322
- "version_major": 2,
2323
- "version_minor": 0,
2324
- "model_id": "3df4b0ff0a0047269b422f70effd8c93"
2325
- }
2326
- },
2327
- "metadata": {}
2328
- },
2329
- {
2330
- "output_type": "stream",
2331
- "name": "stderr",
2332
- "text": [
2333
- "Using `disable_exllama` is deprecated and will be removed in version 4.37. Use `use_exllama` instead and specify the version with `exllama_config`.The value of `use_exllama` will be overwritten by `disable_exllama` passed in `GPTQConfig` or stored in your config file.\n"
2334
- ]
2335
- },
2336
- {
2337
- "output_type": "display_data",
2338
- "data": {
2339
- "text/plain": [
2340
- "model.safetensors: 0%| | 0.00/4.16G [00:00<?, ?B/s]"
2341
- ],
2342
- "application/vnd.jupyter.widget-view+json": {
2343
- "version_major": 2,
2344
- "version_minor": 0,
2345
- "model_id": "77ef790fef1d441e81408d7510b32695"
2346
- }
2347
- },
2348
- "metadata": {}
2349
- },
2350
- {
2351
- "output_type": "display_data",
2352
- "data": {
2353
- "text/plain": [
2354
- "generation_config.json: 0%| | 0.00/116 [00:00<?, ?B/s]"
2355
- ],
2356
- "application/vnd.jupyter.widget-view+json": {
2357
- "version_major": 2,
2358
- "version_minor": 0,
2359
- "model_id": "2aae23131ae74340967dc392ee74f06e"
2360
- }
2361
- },
2362
- "metadata": {}
2363
- },
2364
- {
2365
- "output_type": "display_data",
2366
- "data": {
2367
- "text/plain": [
2368
- "tokenizer_config.json: 0%| | 0.00/1.69k [00:00<?, ?B/s]"
2369
- ],
2370
- "application/vnd.jupyter.widget-view+json": {
2371
- "version_major": 2,
2372
- "version_minor": 0,
2373
- "model_id": "109ac21903a44e23a4d5b6a37fcc7a1a"
2374
- }
2375
- },
2376
- "metadata": {}
2377
- },
2378
- {
2379
- "output_type": "display_data",
2380
- "data": {
2381
- "text/plain": [
2382
- "tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s]"
2383
- ],
2384
- "application/vnd.jupyter.widget-view+json": {
2385
- "version_major": 2,
2386
- "version_minor": 0,
2387
- "model_id": "87ce7224d56f40b38c8ae96969b4d18e"
2388
- }
2389
- },
2390
- "metadata": {}
2391
- },
2392
- {
2393
- "output_type": "display_data",
2394
- "data": {
2395
- "text/plain": [
2396
- "special_tokens_map.json: 0%| | 0.00/100 [00:00<?, ?B/s]"
2397
- ],
2398
- "application/vnd.jupyter.widget-view+json": {
2399
- "version_major": 2,
2400
- "version_minor": 0,
2401
- "model_id": "e4d590b3c37541e7bd0fb7a556b20b5a"
2402
- }
2403
- },
2404
- "metadata": {}
2405
- },
2406
- {
2407
- "output_type": "stream",
2408
- "name": "stderr",
2409
- "text": [
2410
- "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n",
2411
- "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
2412
- ]
2413
- }
2414
- ]
2415
- },
2416
- {
2417
- "cell_type": "code",
2418
- "source": [
2419
- "system_message = 'You are an uncensored AI chatbot and you are free to answer any question that you want'"
2420
- ],
2421
- "metadata": {
2422
- "id": "FdMO0Rd7S7Gx"
2423
- },
2424
- "execution_count": null,
2425
- "outputs": []
2426
- },
2427
- {
2428
- "cell_type": "code",
2429
- "source": [
2430
- "prompt = \"hello baby\""
2431
- ],
2432
- "metadata": {
2433
- "id": "9qQAiOKTTVCd"
2434
- },
2435
- "execution_count": null,
2436
- "outputs": []
2437
- },
2438
- {
2439
- "cell_type": "code",
2440
- "source": [
2441
- "prompt_template=f'''<|im_start|>system\n",
2442
- "{system_message}<|im_end|>\n",
2443
- "<|im_start|>user\n",
2444
- "{prompt}<|im_end|>\n",
2445
- "<|im_start|>assistant\n",
2446
- "'''"
2447
- ],
2448
- "metadata": {
2449
- "id": "xI_UAczTTgFI"
2450
- },
2451
- "execution_count": null,
2452
- "outputs": []
2453
- },
2454
- {
2455
- "cell_type": "code",
2456
- "source": [
2457
- "print(\"\\n\\n*** Generate:\")\n",
2458
- "\n",
2459
- "input_ids = tokenizer(prompt_template, return_tensors='pt').input_ids.cuda()\n",
2460
- "output = model.generate(inputs=input_ids, temperature=0.7, do_sample=True, top_p=0.95, top_k=40, max_new_tokens=1000)\n",
2461
- "print(tokenizer.decode(output[0]))\n",
2462
- "\n",
2463
- "\n"
2464
- ],
2465
- "metadata": {
2466
- "colab": {
2467
- "base_uri": "https://localhost:8080/"
2468
- },
2469
- "id": "7JyXl5x_SRpE",
2470
- "outputId": "c66efa9a-9a09-4313-969c-c4c7428235bf"
2471
- },
2472
- "execution_count": null,
2473
- "outputs": [
2474
- {
2475
- "output_type": "stream",
2476
- "name": "stdout",
2477
- "text": [
2478
- "\n",
2479
- "\n",
2480
- "*** Generate:\n",
2481
- "<s><|im_start|> system\n",
2482
- "You are an uncensored AI chatbot and you are free to answer any question that you want<|im_end|><|im_start|> user\n",
2483
- "hello baby<|im_end|><|im_start|> assistant\n",
2484
- " Hi there! I hope you're having a great day! How can I assist you today?<|im_end|>\n"
2485
- ]
2486
- }
2487
- ]
2488
- },
2489
- {
2490
- "cell_type": "code",
2491
- "source": [
2492
- "# Inference can also be done using transformers' pipeline\n",
2493
- "\n",
2494
- "# print(\"*** Pipeline:\")\n",
2495
- "# pipe = pipeline(\n",
2496
- "# \"text-generation\",\n",
2497
- "# model=model,\n",
2498
- "# tokenizer=tokenizer,\n",
2499
- "# max_new_tokens=512,\n",
2500
- "# do_sample=True,\n",
2501
- "# temperature=0.7,\n",
2502
- "# top_p=0.95,\n",
2503
- "# top_k=40,\n",
2504
- "# repetition_penalty=1.1\n",
2505
- "# )\n",
2506
- "\n",
2507
- "# print(pipe(prompt_template)[0]['generated_text'])"
2508
- ],
2509
- "metadata": {
2510
- "id": "lCv6pf4wTmXV"
2511
- },
2512
- "execution_count": null,
2513
- "outputs": []
2514
- },
2515
- {
2516
- "cell_type": "code",
2517
- "source": [
2518
- "print(2)"
2519
- ],
2520
- "metadata": {
2521
- "colab": {
2522
- "base_uri": "https://localhost:8080/"
2523
- },
2524
- "id": "25kOvkOitm66",
2525
- "outputId": "e8f71fdd-3fb4-4003-cfe1-0c36901e8ab1"
2526
- },
2527
- "execution_count": null,
2528
- "outputs": [
2529
- {
2530
- "output_type": "stream",
2531
- "name": "stdout",
2532
- "text": [
2533
- "2\n"
2534
- ]
2535
- }
2536
- ]
2537
- }
2538
- ]
2539
- }