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feat(g4f/models.py): enhance and update model configurations
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kqlio67
parent
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commit
d806c8cdc6
1 changed files with 121 additions and 61 deletions
182
g4f/models.py
182
g4f/models.py
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@ -9,10 +9,8 @@ from .Provider import (
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Allyfy,
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Bing,
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Binjie,
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Bixin123,
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Blackbox,
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ChatGpt,
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Chatgpt4o,
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Chatgpt4Online,
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ChatGptEs,
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ChatgptFree,
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@ -80,12 +78,16 @@ default = Model(
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ReplicateHome,
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Upstage,
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Blackbox,
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Bixin123,
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Binjie,
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Free2GPT,
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MagickPen,
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DeepInfraChat,
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LiteIcoding,
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Airforce,
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ChatHub,
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Nexra,
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ChatGptEs,
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ChatHub,
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])
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)
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@ -106,7 +108,7 @@ gpt_35_turbo = Model(
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name = 'gpt-3.5-turbo',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([
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Allyfy, Nexra, Bixin123, Airforce,
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Allyfy, Nexra, Airforce, Liaobots,
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])
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)
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@ -115,7 +117,7 @@ gpt_4o = Model(
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name = 'gpt-4o',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([
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Liaobots, Nexra, Airforce, Chatgpt4o, ChatGptEs,
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Liaobots, Nexra, ChatGptEs, Airforce,
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OpenaiChat
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])
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)
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@ -133,7 +135,7 @@ gpt_4_turbo = Model(
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name = 'gpt-4-turbo',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([
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Nexra, Bixin123, Liaobots, Airforce, Bing
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Nexra, Liaobots, Airforce, Bing
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])
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)
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@ -141,9 +143,8 @@ gpt_4 = Model(
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name = 'gpt-4',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([
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Nexra, Binjie, Airforce,
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gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider,
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Chatgpt4Online, Bing, OpenaiChat,
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Nexra, Binjie, Airforce, Chatgpt4Online, Bing, OpenaiChat,
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gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider
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])
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)
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@ -205,7 +206,7 @@ llama_3_1_70b = Model(
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llama_3_1_405b = Model(
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name = "llama-3.1-405b",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([Blackbox, DeepInfraChat, Airforce])
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best_provider = IterListProvider([DeepInfraChat, Airforce])
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)
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llama_3_1 = Model(
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@ -214,12 +215,38 @@ llama_3_1 = Model(
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best_provider = IterListProvider([Nexra, llama_3_1_8b.best_provider, llama_3_1_70b.best_provider, llama_3_1_405b.best_provider,])
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)
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# llama 3.2
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llama_3_2_11b = Model(
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name = "llama-3.2-11b",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([HuggingChat, HuggingFace])
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)
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llama_3_2_90b = Model(
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name = "llama-3.2-90b",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([Airforce])
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)
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# llamaguard
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llamaguard_7b = Model(
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name = "llamaguard-7b",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([Airforce])
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)
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llamaguard_2_8b = Model(
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name = "llamaguard-2-8b",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([Airforce])
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)
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### Mistral ###
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mistral_7b = Model(
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name = "mistral-7b",
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base_provider = "Mistral",
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best_provider = IterListProvider([HuggingChat, DeepInfraChat, Airforce, HuggingFace, DeepInfra])
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best_provider = IterListProvider([DeepInfraChat, Airforce, HuggingFace, DeepInfra])
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)
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mixtral_8x7b = Model(
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@ -245,7 +272,13 @@ mistral_nemo = Model(
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mixtral_8x7b_dpo = Model(
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name = "mixtral-8x7b-dpo",
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base_provider = "NousResearch",
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best_provider = Airforce
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best_provider = IterListProvider([Airforce])
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)
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yi_34b = Model(
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name = "yi-34b",
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base_provider = "NousResearch",
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best_provider = IterListProvider([Airforce])
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)
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hermes_3 = Model(
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@ -310,49 +343,56 @@ gemma_2b = Model(
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])
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)
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# gemma 2
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gemma_2_27b = Model(
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name = 'gemma-2-27b',
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base_provider = 'Google',
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best_provider = Airforce
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)
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gemma_2 = Model(
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name = 'gemma-2',
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base_provider = 'Google',
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best_provider = ChatHub
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best_provider = IterListProvider([
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ChatHub,
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gemma_2_27b.best_provider,
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])
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)
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### Anthropic ###
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claude_2 = Model(
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name = 'claude-2',
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base_provider = 'Anthropic',
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best_provider = You
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)
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claude_2_0 = Model(
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name = 'claude-2.0',
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base_provider = 'Anthropic',
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best_provider = Liaobots
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)
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claude_2_1 = Model(
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name = 'claude-2.1',
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base_provider = 'Anthropic',
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best_provider = Liaobots
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)
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claude_2 = Model(
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name = 'claude-2',
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base_provider = 'Anthropic',
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best_provider = IterListProvider([
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You,
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claude_2_1.best_provider,
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])
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)
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# claude 3
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claude_3_opus = Model(
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name = 'claude-3-opus',
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base_provider = 'Anthropic',
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best_provider = Liaobots
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best_provider = IterListProvider([Airforce, Liaobots])
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)
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claude_3_sonnet = Model(
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name = 'claude-3-sonnet',
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base_provider = 'Anthropic',
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best_provider = Liaobots
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best_provider = IterListProvider([Airforce, Liaobots])
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)
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claude_3_haiku = Model(
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name = 'claude-3-haiku',
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base_provider = 'Anthropic',
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best_provider = IterListProvider([DDG, Liaobots])
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best_provider = IterListProvider([DDG, Airforce, Liaobots])
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)
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claude_3 = Model(
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@ -367,7 +407,7 @@ claude_3 = Model(
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claude_3_5_sonnet = Model(
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name = 'claude-3.5-sonnet',
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base_provider = 'Anthropic',
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best_provider = IterListProvider([Blackbox, Liaobots])
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best_provider = IterListProvider([Blackbox, Airforce, Liaobots])
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)
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claude_3_5 = Model(
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@ -417,15 +457,22 @@ command_r_plus = Model(
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sparkdesk_v1_1 = Model(
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name = 'sparkdesk-v1.1',
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base_provider = 'iFlytek',
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best_provider = IterListProvider([FreeChatgpt, Airforce])
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best_provider = IterListProvider([FreeChatgpt])
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)
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### Qwen ###
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# qwen 1
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qwen_1_5_7b = Model(
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name = 'qwen-1.5-7b',
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base_provider = 'Qwen',
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best_provider = Airforce
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)
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qwen_1_5_14b = Model(
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name = 'qwen-1.5-14b',
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base_provider = 'Qwen',
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best_provider = FreeChatgpt
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best_provider = IterListProvider([FreeChatgpt, Airforce])
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)
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qwen_1_5_72b = Model(
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@ -440,22 +487,17 @@ qwen_1_5_110b = Model(
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best_provider = Airforce
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)
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# qwen 2
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qwen_2_72b = Model(
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name = 'qwen-2-72b',
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base_provider = 'Qwen',
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best_provider = IterListProvider([DeepInfraChat, HuggingChat, Airforce, HuggingFace])
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)
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qwen_turbo = Model(
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name = 'qwen-turbo',
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base_provider = 'Qwen',
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best_provider = Bixin123
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)
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qwen = Model(
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name = 'qwen',
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base_provider = 'Qwen',
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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])
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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])
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)
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@ -488,13 +530,6 @@ yi_1_5_9b = Model(
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best_provider = FreeChatgpt
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)
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yi_34b = Model(
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name = 'yi-34b',
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base_provider = '01-ai',
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best_provider = Airforce
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)
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### Upstage ###
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solar_1_mini = Model(
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name = 'solar-1-mini',
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@ -542,14 +577,6 @@ wizardlm_2_8x22b = Model(
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best_provider = IterListProvider([DeepInfraChat, Airforce])
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)
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### Together ###
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sh_n_7b = Model(
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name = 'sh-n-7b',
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base_provider = 'Together',
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best_provider = Airforce
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)
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### Yorickvp ###
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llava_13b = Model(
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name = 'llava-13b',
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@ -611,7 +638,8 @@ grok_2_mini = Model(
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best_provider = Liaobots
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)
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# Perplexity AI
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### Perplexity AI ###
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sonar_online = Model(
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name = 'sonar-online',
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base_provider = 'Perplexity AI',
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@ -625,6 +653,22 @@ sonar_chat = Model(
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)
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### Gryphe ###
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mythomax_l2_13b = Model(
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name = 'mythomax-l2-13b',
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base_provider = 'Gryphe',
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best_provider = IterListProvider([Airforce])
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)
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### Pawan ###
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cosmosrp = Model(
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name = 'cosmosrp',
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base_provider = 'Pawan',
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best_provider = IterListProvider([Airforce])
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)
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#############
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### Image ###
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@ -654,6 +698,7 @@ playground_v2_5 = Model(
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)
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### Flux AI ###
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flux = Model(
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name = 'flux',
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@ -805,6 +850,14 @@ class ModelUtils:
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'llama-3.1-8b': llama_3_1_8b,
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'llama-3.1-70b': llama_3_1_70b,
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'llama-3.1-405b': llama_3_1_405b,
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# llama-3.2
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'llama-3.2-11b': llama_3_2_11b,
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'llama-3.2-90b': llama_3_2_90b,
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# llamaguard
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'llamaguard-7b': llamaguard_7b,
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'llamaguard-2-8b': llamaguard_2_8b,
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### Mistral ###
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@ -835,12 +888,14 @@ class ModelUtils:
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'gemma-2b': gemma_2b,
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'gemma-2b-9b': gemma_2b_9b,
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'gemma-2b-27b': gemma_2b_27b,
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# gemma-2
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'gemma-2': gemma_2,
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'gemma-2-27b': gemma_2_27b,
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### Anthropic ###
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'claude-2': claude_2,
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'claude-2.0': claude_2_0,
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'claude-2.1': claude_2_1,
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# claude 3
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@ -880,11 +935,11 @@ class ModelUtils:
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### Qwen ###
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'qwen': qwen,
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'qwen-1.5-7b': qwen_1_5_7b,
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'qwen-1.5-14b': qwen_1_5_14b,
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'qwen-1.5-72b': qwen_1_5_72b,
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'qwen-1.5-110b': qwen_1_5_110b,
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'qwen-2-72b': qwen_2_72b,
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'qwen-turbo': qwen_turbo,
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### Zhipu AI ###
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@ -908,11 +963,7 @@ class ModelUtils:
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### DeepSeek ###
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'deepseek': deepseek,
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### Together ###
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'sh-n-7b': sh_n_7b,
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### Yorickvp ###
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'llava-13b': llava_13b,
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@ -947,9 +998,18 @@ class ModelUtils:
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'grok-2': grok_2,
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'grok-2-mini': grok_2_mini,
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### Perplexity AI ###
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'sonar-online': sonar_online,
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'sonar-chat': sonar_chat,
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### Gryphe ###
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'mythomax-l2-13b': sonar_chat,
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### Pawan ###
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'cosmosrp': cosmosrp,
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