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XFEstudio/gpt4free

Updated g4f/models.py g4f/Provider/Liaobots.py g4f/Provider/init.py g4f/Provider/DeepInfraChat.py

cfe5acc1

kqlio67 <kqlio67@users.noreply.github.com>

提交于 2024-09-27 00:24

父提交 9ff3849

代码差异

4 个文件 +27 -65

Modified g4f/Provider/DeepInfraChat.py +3 -3

@@ -39,7 +39,7 @@ class DeepInfraChat(AsyncGeneratorProvider, ProviderModelMixin):

39 39 model_aliases = {

40 40 "llama-3.1-405b": "meta-llama/Meta-Llama-3.1-405B-Instruct",

41 41 "llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct",

42 "Llama-3.1-8B": "meta-llama/Meta-Llama-3.1-8B-Instruct",

42 "llama-3.1-8B": "meta-llama/Meta-Llama-3.1-8B-Instruct",

43 43 "mixtral-8x22b": "mistralai/Mixtral-8x22B-Instruct-v0.1",

44 44 "mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1",

45 45 "wizardlm-2-8x22b": "microsoft/WizardLM-2-8x22B",

@@ -47,9 +47,9 @@ class DeepInfraChat(AsyncGeneratorProvider, ProviderModelMixin):

47 47 "qwen-2-72b": "Qwen/Qwen2-72B-Instruct",

48 48 "phi-3-medium-4k": "microsoft/Phi-3-medium-4k-instruct",

49 49 "gemma-2b-27b": "google/gemma-2-27b-it",

50 "minicpm-llama-3-v2.5": "openbmb/MiniCPM-Llama3-V-2_5",

50 "minicpm-llama-3-v2.5": "openbmb/MiniCPM-Llama3-V-2_5", # Image upload is available

51 51 "mistral-7b": "mistralai/Mistral-7B-Instruct-v0.3",

52 "lzlv_70b": "lizpreciatior/lzlv_70b_fp16_hf",

52 "lzlv-70b": "lizpreciatior/lzlv_70b_fp16_hf",

53 53 "openchat-3.6-8b": "openchat/openchat-3.6-8b",

54 54 "phind-codellama-34b-v2": "Phind/Phind-CodeLlama-34B-v2",

55 55 "dolphin-2.9.1-llama-3-70b": "cognitivecomputations/dolphin-2.9.1-llama-3-70b",

Modified g4f/Provider/Liaobots.py +20 -40

@@ -36,36 +36,18 @@ models = {

36 36 "tokenLimit": 7800,

37 37 "context": "8K",

38 38 },

39 "o1-preview": {

40 "id": "o1-preview",

41 "name": "o1-preview",

42 "model": "o1",

43 "provider": "OpenAI",

44 "maxLength": 400000,

45 "tokenLimit": 100000,

46 "context": "128K",

47 },

48 "o1-mini": {

49 "id": "o1-mini",

50 "name": "o1-mini",

51 "model": "o1",

52 "provider": "OpenAI",

53 "maxLength": 400000,

54 "tokenLimit": 100000,

55 "context": "128K",

56 },

57 "gpt-4-turbo-2024-04-09": {

58 "id": "gpt-4-turbo-2024-04-09",

59 "name": "GPT-4-Turbo",

39 "gpt-4o-2024-08-06": {

40 "id": "gpt-4o-2024-08-06",

41 "name": "GPT-4o",

60 42 "model": "ChatGPT",

61 43 "provider": "OpenAI",

62 44 "maxLength": 260000,

63 45 "tokenLimit": 126000,

64 46 "context": "128K",

65 47 },

66 "gpt-4o-2024-08-06": {

67 "id": "gpt-4o-2024-08-06",

68 "name": "GPT-4o",

48 "gpt-4-turbo-2024-04-09": {

49 "id": "gpt-4-turbo-2024-04-09",

50 "name": "GPT-4-Turbo",

69 51 "model": "ChatGPT",

70 52 "provider": "OpenAI",

71 53 "maxLength": 260000,

@@ -117,18 +99,18 @@ models = {

117 99 "tokenLimit": 200000,

118 100 "context": "200K",

119 101 },

120 "claude-3-sonnet-20240229": {

121 "id": "claude-3-sonnet-20240229",

122 "name": "Claude-3-Sonnet",

102 "claude-3-5-sonnet-20240620": {

103 "id": "claude-3-5-sonnet-20240620",

104 "name": "Claude-3.5-Sonnet",

123 105 "model": "Claude",

124 106 "provider": "Anthropic",

125 107 "maxLength": 800000,

126 108 "tokenLimit": 200000,

127 109 "context": "200K",

128 110 },

129 "claude-3-5-sonnet-20240620": {

130 "id": "claude-3-5-sonnet-20240620",

131 "name": "Claude-3.5-Sonnet",

111 "claude-3-sonnet-20240229": {

112 "id": "claude-3-sonnet-20240229",

113 "name": "Claude-3-Sonnet",

132 114 "model": "Claude",

133 115 "provider": "Anthropic",

134 116 "maxLength": 800000,

@@ -153,8 +135,8 @@ models = {

153 135 "tokenLimit": 200000,

154 136 "context": "200K",

155 137 },

156 "gemini-1.5-flash-exp-0827": {

157 "id": "gemini-1.5-flash-exp-0827",

138 "gemini-1.5-flash-002": {

139 "id": "gemini-1.5-flash-002",

158 140 "name": "Gemini-1.5-Flash-1M",

159 141 "model": "Gemini",

160 142 "provider": "Google",

@@ -162,8 +144,8 @@ models = {

162 144 "tokenLimit": 1000000,

163 145 "context": "1024K",

164 146 },

165 "gemini-1.5-pro-exp-0827": {

166 "id": "gemini-1.5-pro-exp-0827",

147 "gemini-1.5-pro-002": {

148 "id": "gemini-1.5-pro-002",

167 149 "name": "Gemini-1.5-Pro-1M",

168 150 "model": "Gemini",

169 151 "provider": "Google",

@@ -186,11 +168,9 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin):

186 168 model_aliases = {

187 169 "gpt-4o-mini": "gpt-4o-mini-free",

188 170 "gpt-4o": "gpt-4o-free",

189

190 "o1": "o1-preview",

191

192 "gpt-4-turbo": "gpt-4-turbo-2024-04-09",

193 171 "gpt-4o": "gpt-4o-2024-08-06",

172

173 "gpt-4-turbo": "gpt-4-turbo-2024-04-09",

194 174 "gpt-4": "gpt-4-0613",

195 175

196 176 "claude-3-opus": "claude-3-opus-20240229",

@@ -201,8 +181,8 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin):

201 181 "claude-3-haiku": "claude-3-haiku-20240307",

202 182 "claude-2.1": "claude-2.1",

203 183

204 "gemini-flash": "gemini-1.5-flash-exp-0827",

205 "gemini-pro": "gemini-1.5-pro-exp-0827",

184 "gemini-flash": "gemini-1.5-flash-002",

185 "gemini-pro": "gemini-1.5-pro-002",

206 186 }

207 187

208 188 _auth_code = ""

Modified g4f/Provider/__init__.py +1 -0

@@ -10,6 +10,7 @@ from .selenium import *

10 10 from .needs_auth import *

11 11

12 12 from .AI365VIP import AI365VIP

13 from .AIChatFree import AIChatFree

13 14 from .Allyfy import Allyfy

14 15 from .AiChatOnline import AiChatOnline

15 16 from .AiChats import AiChats

Modified g4f/models.py +3 -22

@@ -4,6 +4,7 @@ from dataclasses import dataclass

4 4

5 5 from .Provider import IterListProvider, ProviderType

6 6 from .Provider import (

7 AIChatFree,

7 8 Airforce,

8 9 Allyfy,

9 10 Bing,

@@ -146,22 +147,6 @@ gpt_4 = Model(

146 147 ])

147 148 )

148 149

149 # o1

150 o1 = Model(

151 name = 'o1',

152 base_provider = 'OpenAI',

153 best_provider = IterListProvider([

154 Liaobots

155 ])

156 )

157

158 o1_mini = Model(

159 name = 'o1-mini',

160 base_provider = 'OpenAI',

161 best_provider = IterListProvider([

162 Liaobots

163 ])

164 )

165 150

166 151 ### GigaChat ###

167 152 gigachat = Model(

@@ -288,7 +273,7 @@ phi_3_5_mini = Model(

288 273 gemini_pro = Model(

289 274 name = 'gemini-pro',

290 275 base_provider = 'Google DeepMind',

291 best_provider = IterListProvider([GeminiPro, LiteIcoding, Blackbox, Liaobots, Airforce])

276 best_provider = IterListProvider([GeminiPro, LiteIcoding, Blackbox, AIChatFree, Liaobots, Airforce])

292 277 )

293 278

294 279 gemini_flash = Model(

@@ -784,11 +769,7 @@ class ModelUtils:

784 769 'gpt-4o-mini': gpt_4o_mini,

785 770 'gpt-4': gpt_4,

786 771 'gpt-4-turbo': gpt_4_turbo,

787

788 # o1

789 'o1': o1,

790 'o1-mini': o1_mini,

791

772

792 773

793 774 ### Meta ###

794 775 "meta-ai": meta,