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https://github.com/xtekky/gpt4free.git
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feat(g4f/models.py): add new providers and models, enhance existing configurations
This commit is contained in:
kqlio67
parent
da3c019f18
commit
bc2be5a5b4
316
g4f/models.py
316
g4f/models.py
@ -7,6 +7,7 @@ from .Provider import (
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AIChatFree,
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Airforce,
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Allyfy,
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AmigoChat,
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Bing,
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Binjie,
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Blackbox,
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@ -15,6 +16,9 @@ from .Provider import (
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ChatGptEs,
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ChatgptFree,
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ChatHub,
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ChatifyAI,
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Cloudflare,
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DarkAI,
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DDG,
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DeepInfra,
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DeepInfraChat,
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@ -34,7 +38,27 @@ from .Provider import (
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LiteIcoding,
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MagickPen,
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MetaAI,
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Nexra,
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NexraAnimagineXL,
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NexraBing,
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NexraBlackbox,
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NexraChatGPT,
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NexraChatGPT4o,
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NexraChatGptV2,
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NexraChatGptWeb,
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NexraDallE,
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NexraDallE2,
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NexraDalleMini,
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NexraEmi,
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NexraFluxPro,
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NexraGeminiPro,
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NexraLLaMA31,
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NexraMidjourney,
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NexraProdiaAI,
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NexraQwen,
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NexraSD15,
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NexraSD21,
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NexraSDLora,
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NexraSDTurbo,
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OpenaiChat,
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PerplexityLabs,
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Pi,
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@ -85,9 +109,9 @@ default = Model(
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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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AmigoChat,
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])
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)
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@ -100,7 +124,7 @@ default = Model(
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gpt_3 = Model(
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name = 'gpt-3',
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base_provider = 'OpenAI',
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best_provider = Nexra
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best_provider = NexraChatGPT
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)
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# gpt-3.5
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@ -108,7 +132,7 @@ 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, Airforce, Liaobots,
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Allyfy, NexraChatGPT, Airforce, DarkAI, Liaobots,
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])
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)
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@ -117,7 +141,7 @@ 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, ChatGptEs, Airforce,
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NexraChatGPT4o, ChatGptEs, AmigoChat, DarkAI, Liaobots, Airforce,
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OpenaiChat
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])
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)
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@ -126,7 +150,7 @@ gpt_4o_mini = Model(
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name = 'gpt-4o-mini',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([
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DDG, ChatGptEs, You, FreeNetfly, Pizzagpt, LiteIcoding, MagickPen, Liaobots, Airforce, ChatgptFree, Koala,
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DDG, ChatGptEs, You, FreeNetfly, Pizzagpt, LiteIcoding, MagickPen, AmigoChat, Liaobots, Airforce, ChatgptFree, Koala,
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OpenaiChat, ChatGpt
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])
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)
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@ -135,7 +159,7 @@ 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, Liaobots, Airforce, Bing
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Liaobots, Airforce, Bing
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])
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)
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@ -143,11 +167,24 @@ 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, Chatgpt4Online, Bing, OpenaiChat,
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NexraBing, NexraChatGPT, NexraChatGptV2, NexraChatGptWeb, 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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# o1
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o1 = Model(
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name = 'o1',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([AmigoChat])
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)
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o1_mini = Model(
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name = 'o1-mini',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([AmigoChat])
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)
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### GigaChat ###
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gigachat = Model(
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@ -165,6 +202,12 @@ meta = Model(
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)
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# llama 2
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llama_2_7b = Model(
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name = "llama-2-7b",
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base_provider = "Meta Llama",
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best_provider = Cloudflare
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)
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llama_2_13b = Model(
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name = "llama-2-13b",
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base_provider = "Meta Llama",
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@ -175,7 +218,7 @@ llama_2_13b = Model(
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llama_3_8b = Model(
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name = "llama-3-8b",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([Airforce, DeepInfra, Replicate])
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best_provider = IterListProvider([Cloudflare, Airforce, DeepInfra, Replicate])
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)
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llama_3_70b = Model(
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@ -194,40 +237,57 @@ llama_3 = Model(
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llama_3_1_8b = Model(
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name = "llama-3.1-8b",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Airforce, PerplexityLabs])
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best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, PerplexityLabs])
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)
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llama_3_1_70b = Model(
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name = "llama-3.1-70b",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, Airforce, HuggingFace, PerplexityLabs])
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best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, HuggingFace, PerplexityLabs])
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)
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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([DeepInfraChat, Blackbox, Airforce])
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best_provider = IterListProvider([DeepInfraChat, Blackbox, AmigoChat, DarkAI, Airforce])
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)
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llama_3_1 = Model(
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name = "llama-3.1",
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base_provider = "Meta Llama",
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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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best_provider = IterListProvider([NexraLLaMA31, ChatifyAI, 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_1b = Model(
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name = "llama-3.2-1b",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([Cloudflare])
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)
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llama_3_2_3b = Model(
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name = "llama-3.2-3b",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([Cloudflare])
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)
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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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best_provider = IterListProvider([Cloudflare, 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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best_provider = IterListProvider([AmigoChat, Airforce])
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)
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llama_3_2 = Model(
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name = "llama-3.2",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([llama_3_2_1b.best_provider, llama_3_2_3b.best_provider, llama_3_2_11b.best_provider, llama_3_2_90b.best_provider])
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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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@ -246,7 +306,7 @@ llamaguard_2_8b = Model(
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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([DeepInfraChat, Airforce, HuggingFace, DeepInfra])
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best_provider = IterListProvider([DeepInfraChat, Cloudflare, Airforce, DeepInfra])
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)
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mixtral_8x7b = Model(
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@ -289,6 +349,12 @@ hermes_3 = Model(
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### Microsoft ###
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phi_2 = Model(
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name = "phi-2",
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base_provider = "Microsoft",
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best_provider = Cloudflare
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)
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phi_3_medium_4k = Model(
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name = "phi-3-medium-4k",
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base_provider = "Microsoft",
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@ -306,7 +372,7 @@ phi_3_5_mini = Model(
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gemini_pro = Model(
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name = 'gemini-pro',
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base_provider = 'Google DeepMind',
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best_provider = IterListProvider([GeminiPro, LiteIcoding, Blackbox, AIChatFree, GPROChat, Nexra, Liaobots, Airforce])
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best_provider = IterListProvider([GeminiPro, LiteIcoding, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, AmigoChat, Liaobots, Airforce])
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)
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gemini_flash = Model(
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@ -343,6 +409,12 @@ gemma_2b = Model(
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])
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)
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gemma_7b = Model(
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name = 'gemma-7b',
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base_provider = 'Google',
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best_provider = IterListProvider([Cloudflare])
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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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@ -407,7 +479,7 @@ 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, Airforce, Liaobots])
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best_provider = IterListProvider([Blackbox, Airforce, AmigoChat, Liaobots])
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)
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claude_3_5 = Model(
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@ -430,10 +502,16 @@ reka_core = Model(
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### Blackbox AI ###
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blackbox = Model(
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name = 'blackbox',
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blackboxai = Model(
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name = 'blackboxai',
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base_provider = 'Blackbox AI',
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best_provider = Blackbox
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best_provider = IterListProvider([Blackbox, NexraBlackbox])
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)
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blackboxai_pro = Model(
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name = 'blackboxai-pro',
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base_provider = 'Blackbox AI',
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best_provider = IterListProvider([Blackbox])
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)
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@ -463,16 +541,22 @@ sparkdesk_v1_1 = Model(
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### Qwen ###
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# qwen 1
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qwen_1_5_0_5b = Model(
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name = 'qwen-1.5-0.5b',
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base_provider = 'Qwen',
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best_provider = Cloudflare
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)
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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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best_provider = IterListProvider([Cloudflare, 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 = IterListProvider([FreeChatgpt, Airforce])
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best_provider = IterListProvider([FreeChatgpt, Cloudflare, Airforce])
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)
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qwen_1_5_72b = Model(
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@ -487,6 +571,12 @@ qwen_1_5_110b = Model(
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best_provider = Airforce
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)
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qwen_1_5_1_8b = Model(
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name = 'qwen-1.5-1.8b',
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base_provider = 'Qwen',
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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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@ -497,7 +587,7 @@ qwen_2_72b = Model(
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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])
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best_provider = IterListProvider([NexraQwen, qwen_1_5_0_5b.best_provider, qwen_1_5_14b.best_provider, qwen_1_5_72b.best_provider, qwen_1_5_110b.best_provider, qwen_1_5_1_8b.best_provider, qwen_2_72b.best_provider])
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)
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@ -514,14 +604,6 @@ glm_4_9b = Model(
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best_provider = FreeChatgpt
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)
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glm_4 = Model(
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name = 'glm-4',
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base_provider = 'Zhipu AI',
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best_provider = IterListProvider([
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glm_3_6b.best_provider, glm_4_9b.best_provider
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])
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)
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### 01-ai ###
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yi_1_5_9b = Model(
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@ -602,6 +684,12 @@ lzlv_70b = Model(
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### OpenChat ###
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openchat_3_5 = Model(
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name = 'openchat-3.5',
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base_provider = 'OpenChat',
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best_provider = Cloudflare
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)
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openchat_3_6_8b = Model(
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name = 'openchat-3.6-8b',
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base_provider = 'OpenChat',
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@ -669,16 +757,71 @@ cosmosrp = Model(
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)
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### TheBloke ###
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german_7b = Model(
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name = 'german-7b',
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base_provider = 'TheBloke',
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best_provider = IterListProvider([Cloudflare])
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)
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### Tinyllama ###
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tinyllama_1_1b = Model(
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name = 'tinyllama-1.1b',
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base_provider = 'Tinyllama',
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best_provider = IterListProvider([Cloudflare])
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)
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### Fblgit ###
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cybertron_7b = Model(
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name = 'cybertron-7b',
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base_provider = 'Fblgit',
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best_provider = IterListProvider([Cloudflare])
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)
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#############
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### Image ###
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#############
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### Stability AI ###
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sdxl_lora = Model(
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name = 'sdxl-lora',
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base_provider = 'Stability AI',
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best_provider = IterListProvider([NexraSDLora])
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)
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sdxl_turbo = Model(
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name = 'sdxl-turbo',
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base_provider = 'Stability AI',
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best_provider = IterListProvider([NexraSDTurbo])
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)
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sdxl = Model(
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name = 'sdxl',
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base_provider = 'Stability AI',
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best_provider = IterListProvider([ReplicateHome, Nexra, DeepInfraImage])
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best_provider = IterListProvider([
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ReplicateHome, NexraSD21, DeepInfraImage,
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sdxl_lora.best_provider, sdxl_turbo.best_provider,
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])
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)
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sd_1_5 = Model(
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name = 'sd-1.5',
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base_provider = 'Stability AI',
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best_provider = IterListProvider([NexraSD15])
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)
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sd_2_1 = Model(
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name = 'sd-2.1',
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base_provider = 'Stability AI',
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best_provider = IterListProvider([NexraSD21])
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)
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@ -689,6 +832,13 @@ sd_3 = Model(
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)
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sd = Model(
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name = 'sd',
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base_provider = 'Stability AI',
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best_provider = IterListProvider([sd_1_5.best_provider, sd_2_1.best_provider, sd_3.best_provider])
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)
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### Playground ###
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playground_v2_5 = Model(
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@ -707,10 +857,17 @@ flux = Model(
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)
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flux_pro = Model(
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name = 'flux-pro',
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base_provider = 'Flux AI',
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best_provider = IterListProvider([NexraFluxPro, AmigoChat])
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)
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flux_realism = Model(
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name = 'flux-realism',
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base_provider = 'Flux AI',
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best_provider = IterListProvider([Airforce])
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best_provider = IterListProvider([Airforce, AmigoChat])
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)
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|
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@ -757,31 +914,48 @@ flux_schnell = Model(
|
||||
)
|
||||
|
||||
|
||||
### ###
|
||||
### OpenAI ###
|
||||
dalle_2 = Model(
|
||||
name = 'dalle-2',
|
||||
base_provider = '',
|
||||
best_provider = IterListProvider([Nexra])
|
||||
base_provider = 'OpenAI',
|
||||
best_provider = IterListProvider([NexraDallE2])
|
||||
|
||||
)
|
||||
dalle_3 = Model(
|
||||
name = 'dalle-3',
|
||||
base_provider = '',
|
||||
base_provider = 'OpenAI',
|
||||
best_provider = IterListProvider([Airforce])
|
||||
|
||||
)
|
||||
|
||||
dalle = Model(
|
||||
name = 'dalle',
|
||||
base_provider = '',
|
||||
best_provider = IterListProvider([Nexra, dalle_2.best_provider, dalle_3.best_provider])
|
||||
base_provider = 'OpenAI',
|
||||
best_provider = IterListProvider([NexraDallE, dalle_2.best_provider, dalle_3.best_provider])
|
||||
|
||||
)
|
||||
|
||||
dalle_mini = Model(
|
||||
name = 'dalle-mini',
|
||||
base_provider = '',
|
||||
best_provider = IterListProvider([Nexra])
|
||||
base_provider = 'OpenAI',
|
||||
best_provider = IterListProvider([NexraDalleMini])
|
||||
|
||||
)
|
||||
|
||||
|
||||
### Cagliostro Research Lab ###
|
||||
animagine_xl = Model(
|
||||
name = 'animagine-xl',
|
||||
base_provider = 'Cagliostro Research Lab',
|
||||
best_provider = IterListProvider([NexraAnimagineXL])
|
||||
|
||||
)
|
||||
|
||||
### Midjourney ###
|
||||
midjourney = Model(
|
||||
name = 'midjourney',
|
||||
base_provider = 'Midjourney',
|
||||
best_provider = IterListProvider([NexraMidjourney])
|
||||
|
||||
)
|
||||
|
||||
@ -789,7 +963,7 @@ dalle_mini = Model(
|
||||
emi = Model(
|
||||
name = 'emi',
|
||||
base_provider = '',
|
||||
best_provider = IterListProvider([Nexra])
|
||||
best_provider = IterListProvider([NexraEmi])
|
||||
|
||||
)
|
||||
|
||||
@ -800,13 +974,6 @@ any_dark = Model(
|
||||
|
||||
)
|
||||
|
||||
prodia = Model(
|
||||
name = 'prodia',
|
||||
base_provider = '',
|
||||
best_provider = IterListProvider([Nexra])
|
||||
|
||||
)
|
||||
|
||||
class ModelUtils:
|
||||
"""
|
||||
Utility class for mapping string identifiers to Model instances.
|
||||
@ -832,12 +999,17 @@ class ModelUtils:
|
||||
'gpt-4o-mini': gpt_4o_mini,
|
||||
'gpt-4': gpt_4,
|
||||
'gpt-4-turbo': gpt_4_turbo,
|
||||
|
||||
# o1
|
||||
'o1': o1,
|
||||
'o1-mini': o1_mini,
|
||||
|
||||
|
||||
### Meta ###
|
||||
"meta-ai": meta,
|
||||
|
||||
# llama-2
|
||||
'llama-2-7b': llama_2_7b,
|
||||
'llama-2-13b': llama_2_13b,
|
||||
|
||||
# llama-3
|
||||
@ -852,6 +1024,9 @@ class ModelUtils:
|
||||
'llama-3.1-405b': llama_3_1_405b,
|
||||
|
||||
# llama-3.2
|
||||
'llama-3.2': llama_3_2,
|
||||
'llama-3.2-1b': llama_3_2_1b,
|
||||
'llama-3.2-3b': llama_3_2_3b,
|
||||
'llama-3.2-11b': llama_3_2_11b,
|
||||
'llama-3.2-90b': llama_3_2_90b,
|
||||
|
||||
@ -875,6 +1050,7 @@ class ModelUtils:
|
||||
|
||||
|
||||
### Microsoft ###
|
||||
'phi-2': phi_2,
|
||||
'phi_3_medium-4k': phi_3_medium_4k,
|
||||
'phi-3.5-mini': phi_3_5_mini,
|
||||
|
||||
@ -888,6 +1064,7 @@ class ModelUtils:
|
||||
'gemma-2b': gemma_2b,
|
||||
'gemma-2b-9b': gemma_2b_9b,
|
||||
'gemma-2b-27b': gemma_2b_27b,
|
||||
'gemma-7b': gemma_7b,
|
||||
|
||||
# gemma-2
|
||||
'gemma-2': gemma_2,
|
||||
@ -914,7 +1091,8 @@ class ModelUtils:
|
||||
|
||||
|
||||
### Blackbox AI ###
|
||||
'blackbox': blackbox,
|
||||
'blackboxai': blackboxai,
|
||||
'blackboxai-pro': blackboxai_pro,
|
||||
|
||||
|
||||
### CohereForAI ###
|
||||
@ -935,17 +1113,18 @@ class ModelUtils:
|
||||
|
||||
### Qwen ###
|
||||
'qwen': qwen,
|
||||
'qwen-1.5-0.5b': qwen_1_5_0_5b,
|
||||
'qwen-1.5-7b': qwen_1_5_7b,
|
||||
'qwen-1.5-14b': qwen_1_5_14b,
|
||||
'qwen-1.5-72b': qwen_1_5_72b,
|
||||
'qwen-1.5-110b': qwen_1_5_110b,
|
||||
'qwen-1.5-1.8b': qwen_1_5_1_8b,
|
||||
'qwen-2-72b': qwen_2_72b,
|
||||
|
||||
|
||||
### Zhipu AI ###
|
||||
'glm-3-6b': glm_3_6b,
|
||||
'glm-4-9b': glm_4_9b,
|
||||
'glm-4': glm_4,
|
||||
|
||||
|
||||
### 01-ai ###
|
||||
@ -983,6 +1162,7 @@ class ModelUtils:
|
||||
|
||||
|
||||
### OpenChat ###
|
||||
'openchat-3.5': openchat_3_5,
|
||||
'openchat-3.6-8b': openchat_3_6_8b,
|
||||
|
||||
|
||||
@ -1012,6 +1192,18 @@ class ModelUtils:
|
||||
'cosmosrp': cosmosrp,
|
||||
|
||||
|
||||
### TheBloke ###
|
||||
'german-7b': german_7b,
|
||||
|
||||
|
||||
### Tinyllama ###
|
||||
'tinyllama-1.1b': tinyllama_1_1b,
|
||||
|
||||
|
||||
### Fblgit ###
|
||||
'cybertron-7b': cybertron_7b,
|
||||
|
||||
|
||||
|
||||
#############
|
||||
### Image ###
|
||||
@ -1019,6 +1211,11 @@ class ModelUtils:
|
||||
|
||||
### Stability AI ###
|
||||
'sdxl': sdxl,
|
||||
'sdxl-lora': sdxl_lora,
|
||||
'sdxl-turbo': sdxl_turbo,
|
||||
'sd': sd,
|
||||
'sd-1.5': sd_1_5,
|
||||
'sd-2.1': sd_2_1,
|
||||
'sd-3': sd_3,
|
||||
|
||||
|
||||
@ -1028,6 +1225,7 @@ class ModelUtils:
|
||||
|
||||
### Flux AI ###
|
||||
'flux': flux,
|
||||
'flux-pro': flux_pro,
|
||||
'flux-realism': flux_realism,
|
||||
'flux-anime': flux_anime,
|
||||
'flux-3d': flux_3d,
|
||||
@ -1037,14 +1235,24 @@ class ModelUtils:
|
||||
'flux-schnell': flux_schnell,
|
||||
|
||||
|
||||
### ###
|
||||
### OpenAI ###
|
||||
'dalle': dalle,
|
||||
'dalle-2': dalle_2,
|
||||
'dalle-3': dalle_3,
|
||||
'dalle-mini': dalle_mini,
|
||||
|
||||
|
||||
### Cagliostro Research Lab ###
|
||||
'animagine-xl': animagine_xl,
|
||||
|
||||
|
||||
### Midjourney ###
|
||||
'midjourney': midjourney,
|
||||
|
||||
|
||||
### Other ###
|
||||
'emi': emi,
|
||||
'any-dark': any_dark,
|
||||
'prodia': prodia,
|
||||
}
|
||||
|
||||
_all_models = list(ModelUtils.convert.keys())
|
||||
|
||||
Loading…
Reference in New Issue
Block a user