feat(g4f/models.py): enhance and update model configurations

@@ -9,10 +9,8 @@ from .Provider import (

9 9 Allyfy,

10 10 Bing,

11 11 Binjie,

12 Bixin123,

13 12 Blackbox,

14 13 ChatGpt,

15 Chatgpt4o,

16 14 Chatgpt4Online,

17 15 ChatGptEs,

18 16 ChatgptFree,

@@ -80,12 +78,16 @@ default = Model(

80 78 ReplicateHome,

81 79 Upstage,

82 80 Blackbox,

83 Bixin123,

84 81 Binjie,

85 82 Free2GPT,

86 83 MagickPen,

87 84 DeepInfraChat,

88 85 LiteIcoding,

86 Airforce,

87 ChatHub,

88 Nexra,

89 ChatGptEs,

90 ChatHub,

89 91 ])

90 92 )

91 93

@@ -106,7 +108,7 @@ gpt_35_turbo = Model(

106 108 name = 'gpt-3.5-turbo',

107 109 base_provider = 'OpenAI',

108 110 best_provider = IterListProvider([

109 Allyfy, Nexra, Bixin123, Airforce,

111 Allyfy, Nexra, Airforce, Liaobots,

110 112 ])

111 113 )

112 114

@@ -115,7 +117,7 @@ gpt_4o = Model(

115 117 name = 'gpt-4o',

116 118 base_provider = 'OpenAI',

117 119 best_provider = IterListProvider([

118 Liaobots, Nexra, Airforce, Chatgpt4o, ChatGptEs,

120 Liaobots, Nexra, ChatGptEs, Airforce,

119 121 OpenaiChat

120 122 ])

121 123 )

@@ -133,7 +135,7 @@ gpt_4_turbo = Model(

133 135 name = 'gpt-4-turbo',

134 136 base_provider = 'OpenAI',

135 137 best_provider = IterListProvider([

136 Nexra, Bixin123, Liaobots, Airforce, Bing

138 Nexra, Liaobots, Airforce, Bing

137 139 ])

138 140 )

139 141

@@ -141,9 +143,8 @@ gpt_4 = Model(

141 143 name = 'gpt-4',

142 144 base_provider = 'OpenAI',

143 145 best_provider = IterListProvider([

144 Nexra, Binjie, Airforce,

145 gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider,

146 Chatgpt4Online, Bing, OpenaiChat,

146 Nexra, Binjie, Airforce, Chatgpt4Online, Bing, OpenaiChat,

147 gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider

147 148 ])

148 149 )

149 150

@@ -205,7 +206,7 @@ llama_3_1_70b = Model(

205 206 llama_3_1_405b = Model(

206 207 name = "llama-3.1-405b",

207 208 base_provider = "Meta Llama",

208 best_provider = IterListProvider([Blackbox, DeepInfraChat, Airforce])

209 best_provider = IterListProvider([DeepInfraChat, Airforce])

209 210 )

210 211

211 212 llama_3_1 = Model(

@@ -214,12 +215,38 @@ llama_3_1 = Model(

214 215

    best_provider = IterListProvider([Nexra, llama_3_1_8b.best_provider, llama_3_1_70b.best_provider, llama_3_1_405b.best_provider,])

215 216 )

216 217

218 # llama 3.2

219 llama_3_2_11b = Model(

220 name = "llama-3.2-11b",

221 base_provider = "Meta Llama",

222 best_provider = IterListProvider([HuggingChat, HuggingFace])

223 )

224

225 llama_3_2_90b = Model(

226 name = "llama-3.2-90b",

227 base_provider = "Meta Llama",

228 best_provider = IterListProvider([Airforce])

229 )

230

231 # llamaguard

232 llamaguard_7b = Model(

233 name = "llamaguard-7b",

234 base_provider = "Meta Llama",

235 best_provider = IterListProvider([Airforce])

236 )

237

238 llamaguard_2_8b = Model(

239 name = "llamaguard-2-8b",

240 base_provider = "Meta Llama",

241 best_provider = IterListProvider([Airforce])

242 )

243

217 244

218 245 ### Mistral ###

219 246 mistral_7b = Model(

220 247 name = "mistral-7b",

221 248 base_provider = "Mistral",

222 best_provider = IterListProvider([HuggingChat, DeepInfraChat, Airforce, HuggingFace, DeepInfra])

249 best_provider = IterListProvider([DeepInfraChat, Airforce, HuggingFace, DeepInfra])

223 250 )

224 251

225 252 mixtral_8x7b = Model(

@@ -245,7 +272,13 @@ mistral_nemo = Model(

245 272 mixtral_8x7b_dpo = Model(

246 273 name = "mixtral-8x7b-dpo",

247 274 base_provider = "NousResearch",

248 best_provider = Airforce

275 best_provider = IterListProvider([Airforce])

276 )

277

278 yi_34b = Model(

279 name = "yi-34b",

280 base_provider = "NousResearch",

281 best_provider = IterListProvider([Airforce])

249 282 )

250 283

251 284 hermes_3 = Model(

@@ -310,49 +343,56 @@ gemma_2b = Model(

310 343 ])

311 344 )

312 345

346 # gemma 2

347 gemma_2_27b = Model(

348 name = 'gemma-2-27b',

349 base_provider = 'Google',

350 best_provider = Airforce

351 )

352

313 353 gemma_2 = Model(

314 354 name = 'gemma-2',

315 355 base_provider = 'Google',

316 best_provider = ChatHub

356 best_provider = IterListProvider([

357 ChatHub,

358 gemma_2_27b.best_provider,

359 ])

317 360 )

318 361

319 362

320 363 ### Anthropic ###

321 claude_2 = Model(

322 name = 'claude-2',

323 base_provider = 'Anthropic',

324 best_provider = You

325 )

326

327 claude_2_0 = Model(

328 name = 'claude-2.0',

364 claude_2_1 = Model(

365 name = 'claude-2.1',

329 366 base_provider = 'Anthropic',

330 367 best_provider = Liaobots

331 368 )

332 369

333 claude_2_1 = Model(

334 name = 'claude-2.1',

370 claude_2 = Model(

371 name = 'claude-2',

335 372 base_provider = 'Anthropic',

336 best_provider = Liaobots

373 best_provider = IterListProvider([

374 You,

375 claude_2_1.best_provider,

376 ])

337 377 )

338 378

339 379 # claude 3

340 380 claude_3_opus = Model(

341 381 name = 'claude-3-opus',

342 382 base_provider = 'Anthropic',

343 best_provider = Liaobots

383 best_provider = IterListProvider([Airforce, Liaobots])

344 384 )

345 385

346 386 claude_3_sonnet = Model(

347 387 name = 'claude-3-sonnet',

348 388 base_provider = 'Anthropic',

349 best_provider = Liaobots

389 best_provider = IterListProvider([Airforce, Liaobots])

350 390 )

351 391

352 392 claude_3_haiku = Model(

353 393 name = 'claude-3-haiku',

354 394 base_provider = 'Anthropic',

355 best_provider = IterListProvider([DDG, Liaobots])

395 best_provider = IterListProvider([DDG, Airforce, Liaobots])

356 396 )

357 397

358 398 claude_3 = Model(

@@ -367,7 +407,7 @@ claude_3 = Model(

367 407 claude_3_5_sonnet = Model(

368 408 name = 'claude-3.5-sonnet',

369 409 base_provider = 'Anthropic',

370 best_provider = IterListProvider([Blackbox, Liaobots])

410 best_provider = IterListProvider([Blackbox, Airforce, Liaobots])

371 411 )

372 412

373 413 claude_3_5 = Model(

@@ -417,15 +457,22 @@ command_r_plus = Model(

417 457 sparkdesk_v1_1 = Model(

418 458 name = 'sparkdesk-v1.1',

419 459 base_provider = 'iFlytek',

420 best_provider = IterListProvider([FreeChatgpt, Airforce])

460 best_provider = IterListProvider([FreeChatgpt])

421 461 )

422 462

423 463

424 464 ### Qwen ###

465 # qwen 1

466 qwen_1_5_7b = Model(

467 name = 'qwen-1.5-7b',

468 base_provider = 'Qwen',

469 best_provider = Airforce

470 )

471

425 472 qwen_1_5_14b = Model(

426 473 name = 'qwen-1.5-14b',

427 474 base_provider = 'Qwen',

428 best_provider = FreeChatgpt

475 best_provider = IterListProvider([FreeChatgpt, Airforce])

429 476 )

430 477

431 478 qwen_1_5_72b = Model(

@@ -440,22 +487,17 @@ qwen_1_5_110b = Model(

440 487 best_provider = Airforce

441 488 )

442 489

490 # qwen 2

443 491 qwen_2_72b = Model(

444 492 name = 'qwen-2-72b',

445 493 base_provider = 'Qwen',

446 494 best_provider = IterListProvider([DeepInfraChat, HuggingChat, Airforce, HuggingFace])

447 495 )

448 496

449 qwen_turbo = Model(

450 name = 'qwen-turbo',

451 base_provider = 'Qwen',

452 best_provider = Bixin123

453 )

454

455 497 qwen = Model(

456 498 name = 'qwen',

457 499 base_provider = 'Qwen',

458

    best_provider = IterListProvider([Nexra, qwen_1_5_14b.best_provider, qwen_1_5_72b.best_provider, qwen_1_5_110b.best_provider, qwen_2_72b.best_provider, qwen_turbo.best_provider])

500

    best_provider = IterListProvider([Nexra, qwen_1_5_14b.best_provider, qwen_1_5_72b.best_provider, qwen_1_5_110b.best_provider, qwen_2_72b.best_provider])

459 501 )

460 502

461 503

@@ -488,13 +530,6 @@ yi_1_5_9b = Model(

488 530 best_provider = FreeChatgpt

489 531 )

490 532

491 yi_34b = Model(

492 name = 'yi-34b',

493 base_provider = '01-ai',

494 best_provider = Airforce

495 )

496

497

498 533 ### Upstage ###

499 534 solar_1_mini = Model(

500 535 name = 'solar-1-mini',

@@ -542,14 +577,6 @@ wizardlm_2_8x22b = Model(

542 577 best_provider = IterListProvider([DeepInfraChat, Airforce])

543 578 )

544 579

545 ### Together ###

546 sh_n_7b = Model(

547 name = 'sh-n-7b',

548 base_provider = 'Together',

549 best_provider = Airforce

550 )

551

552

553 580 ### Yorickvp ###

554 581 llava_13b = Model(

555 582 name = 'llava-13b',

@@ -611,7 +638,8 @@ grok_2_mini = Model(

611 638 best_provider = Liaobots

612 639 )

613 640

614 # Perplexity AI

641

642 ### Perplexity AI ###

615 643 sonar_online = Model(

616 644 name = 'sonar-online',

617 645 base_provider = 'Perplexity AI',

@@ -625,6 +653,22 @@ sonar_chat = Model(

625 653 )

626 654

627 655

656 ### Gryphe ###

657 mythomax_l2_13b = Model(

658 name = 'mythomax-l2-13b',

659 base_provider = 'Gryphe',

660 best_provider = IterListProvider([Airforce])

661 )

662

663

664 ### Pawan ###

665 cosmosrp = Model(

666 name = 'cosmosrp',

667 base_provider = 'Pawan',

668 best_provider = IterListProvider([Airforce])

669 )

670

671

628 672

629 673 #############

630 674 ### Image ###

@@ -654,6 +698,7 @@ playground_v2_5 = Model(

654 698

655 699 )

656 700

701

657 702 ### Flux AI ###

658 703 flux = Model(

659 704 name = 'flux',

@@ -805,6 +850,14 @@ class ModelUtils:

805 850 'llama-3.1-8b': llama_3_1_8b,

806 851 'llama-3.1-70b': llama_3_1_70b,

807 852 'llama-3.1-405b': llama_3_1_405b,

853

854 # llama-3.2

855 'llama-3.2-11b': llama_3_2_11b,

856 'llama-3.2-90b': llama_3_2_90b,

857

858 # llamaguard

859 'llamaguard-7b': llamaguard_7b,

860 'llamaguard-2-8b': llamaguard_2_8b,

808 861

809 862

810 863 ### Mistral ###

@@ -835,12 +888,14 @@ class ModelUtils:

835 888 'gemma-2b': gemma_2b,

836 889 'gemma-2b-9b': gemma_2b_9b,

837 890 'gemma-2b-27b': gemma_2b_27b,

891

892 # gemma-2

838 893 'gemma-2': gemma_2,

894 'gemma-2-27b': gemma_2_27b,

839 895

840 896

841 897 ### Anthropic ###

842 898 'claude-2': claude_2,

843 'claude-2.0': claude_2_0,

844 899 'claude-2.1': claude_2_1,

845 900

846 901 # claude 3

@@ -880,11 +935,11 @@ class ModelUtils:

880 935

881 936 ### Qwen ###

882 937 'qwen': qwen,

938 'qwen-1.5-7b': qwen_1_5_7b,

883 939 'qwen-1.5-14b': qwen_1_5_14b,

884 940 'qwen-1.5-72b': qwen_1_5_72b,

885 941 'qwen-1.5-110b': qwen_1_5_110b,

886 942 'qwen-2-72b': qwen_2_72b,

887 'qwen-turbo': qwen_turbo,

888 943

889 944

890 945 ### Zhipu AI ###

@@ -908,11 +963,7 @@ class ModelUtils:

908 963

909 964 ### DeepSeek ###

910 965 'deepseek': deepseek,

911

912

913 ### Together ###

914 'sh-n-7b': sh_n_7b,

915

966

916 967

917 968 ### Yorickvp ###

918 969 'llava-13b': llava_13b,

@@ -947,9 +998,18 @@ class ModelUtils:

947 998 'grok-2': grok_2,

948 999 'grok-2-mini': grok_2_mini,

949 1000

1001

950 1002 ### Perplexity AI ###

951 1003 'sonar-online': sonar_online,

952 1004 'sonar-chat': sonar_chat,

1005

1006

1007 ### Gryphe ###

1008 'mythomax-l2-13b': sonar_chat,

1009

1010

1011 ### Pawan ###

1012 'cosmosrp': cosmosrp,

953 1013

954 1014

955 1015

gpt4free

feat(g4f/models.py): enhance and update model configurations

代码差异