mirror of
https://github.com/xtekky/gpt4free.git
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813 lines
15 KiB
Python
813 lines
15 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from .Provider import IterListProvider, ProviderType
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from .Provider import (
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Ai4Chat,
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AIChatFree,
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Airforce,
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AIUncensored,
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Allyfy,
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Bing,
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Blackbox,
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ChatGpt,
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Chatgpt4Online,
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ChatGptEs,
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Cloudflare,
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DarkAI,
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DDG,
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DeepInfraChat,
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Free2GPT,
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FreeGpt,
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FreeNetfly,
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Gemini,
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GeminiPro,
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GizAI,
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GigaChat,
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HuggingChat,
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HuggingFace,
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Liaobots,
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MagickPen,
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MetaAI,
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OpenaiChat,
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PerplexityLabs,
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Pi,
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Pizzagpt,
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Reka,
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ReplicateHome,
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RubiksAI,
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TeachAnything,
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Upstage,
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)
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@dataclass(unsafe_hash=True)
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class Model:
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"""
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Represents a machine learning model configuration.
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Attributes:
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name (str): Name of the model.
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base_provider (str): Default provider for the model.
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best_provider (ProviderType): The preferred provider for the model, typically with retry logic.
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"""
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name: str
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base_provider: str
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best_provider: ProviderType = None
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@staticmethod
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def __all__() -> list[str]:
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"""Returns a list of all model names."""
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return _all_models
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### Default ###
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default = Model(
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name = "",
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base_provider = "",
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best_provider = IterListProvider([
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DDG,
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Pizzagpt,
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ReplicateHome,
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Upstage,
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Blackbox,
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Free2GPT,
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MagickPen,
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DeepInfraChat,
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Airforce,
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ChatGptEs,
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Cloudflare,
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AIUncensored,
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DarkAI,
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])
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)
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############
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### Text ###
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############
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### OpenAI ###
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# gpt-3.5
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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([DarkAI, Liaobots, Allyfy])
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)
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# gpt-4
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gpt_4o = Model(
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name = 'gpt-4o',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([Blackbox, ChatGptEs, DarkAI, ChatGpt, Airforce, Liaobots, OpenaiChat])
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)
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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([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, ChatGpt, Airforce, RubiksAI, Liaobots, OpenaiChat])
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)
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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([ChatGpt, Airforce, Liaobots, Bing])
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)
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gpt_4 = Model(
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name = 'gpt-4',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([Chatgpt4Online, ChatGpt, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
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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 = None
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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 = None
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)
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### GigaChat ###
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gigachat = Model(
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name = 'GigaChat:latest',
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base_provider = 'gigachat',
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best_provider = GigaChat
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)
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### Meta ###
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meta = Model(
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name = "meta-ai",
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base_provider = "Meta",
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best_provider = MetaAI
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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 = IterListProvider([Cloudflare, Airforce])
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)
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# llama 3
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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([Cloudflare])
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)
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llama_3_70b = Model(
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name = "llama-3-70b",
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base_provider = "Meta Llama",
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best_provider = IterListProvider([ReplicateHome])
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)
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# llama 3.1
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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, 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, DeepInfraChat, Blackbox, TeachAnything, DarkAI, Airforce, RubiksAI, HuggingChat, 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([Blackbox, DarkAI])
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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_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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### 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([Free2GPT])
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)
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mixtral_8x7b = Model(
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name = "mixtral-8x7b",
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base_provider = "Mistral",
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best_provider = IterListProvider([DDG, ReplicateHome])
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)
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mistral_nemo = Model(
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name = "mistral-nemo",
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base_provider = "Mistral",
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best_provider = IterListProvider([HuggingChat, HuggingFace])
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)
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### NousResearch ###
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hermes_2_pro = Model(
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name = "hermes-2-pro",
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base_provider = "NousResearch",
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best_provider = Airforce
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)
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hermes_2_dpo = Model(
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name = "hermes-2-dpo",
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base_provider = "NousResearch",
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best_provider = Airforce
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)
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hermes_3 = Model(
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name = "hermes-3",
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base_provider = "NousResearch",
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best_provider = IterListProvider([HuggingChat, HuggingFace])
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)
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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 = IterListProvider([Airforce])
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)
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phi_3_5_mini = Model(
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name = "phi-3.5-mini",
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base_provider = "Microsoft",
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best_provider = IterListProvider([HuggingChat, HuggingFace])
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)
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### Google DeepMind ###
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# gemini
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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, Blackbox, AIChatFree, FreeGpt, Liaobots])
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)
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gemini_flash = Model(
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name = 'gemini-flash',
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base_provider = 'Google DeepMind',
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best_provider = IterListProvider([Blackbox, GizAI, Liaobots])
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)
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gemini = Model(
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name = 'gemini',
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base_provider = 'Google DeepMind',
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best_provider = Gemini
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)
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# gemma
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gemma_2b = Model(
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name = 'gemma-2b',
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base_provider = 'Google',
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best_provider = IterListProvider([ReplicateHome])
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)
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### Anthropic ###
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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 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 = IterListProvider([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 = IterListProvider([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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)
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# claude 3.5
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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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)
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### Reka AI ###
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reka_core = Model(
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name = 'reka-core',
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base_provider = 'Reka AI',
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best_provider = Reka
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)
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### Blackbox AI ###
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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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)
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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 = Blackbox
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)
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### CohereForAI ###
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command_r_plus = Model(
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name = 'command-r-plus',
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base_provider = 'CohereForAI',
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best_provider = HuggingChat
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)
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### Qwen ###
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# qwen 1_5
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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 = Cloudflare
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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, HuggingFace])
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)
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# qwen 2.5
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qwen_2_5_coder_32b = Model(
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name = 'qwen-2.5-coder-32b',
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base_provider = 'Qwen',
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best_provider = IterListProvider([HuggingChat, HuggingFace])
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)
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### Upstage ###
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solar_mini = Model(
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name = 'solar-mini',
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base_provider = 'Upstage',
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best_provider = Upstage
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)
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solar_pro = Model(
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name = 'solar-pro',
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base_provider = 'Upstage',
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best_provider = Upstage
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)
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### Inflection ###
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pi = Model(
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name = 'pi',
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base_provider = 'Inflection',
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best_provider = Pi
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)
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### DeepSeek ###
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deepseek_coder = Model(
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name = 'deepseek-coder',
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base_provider = 'DeepSeek',
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best_provider = Airforce
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)
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### WizardLM ###
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wizardlm_2_8x22b = Model(
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name = 'wizardlm-2-8x22b',
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base_provider = 'WizardLM',
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best_provider = IterListProvider([DeepInfraChat])
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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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base_provider = 'Yorickvp',
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best_provider = ReplicateHome
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)
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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 = Airforce
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)
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### x.ai ###
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grok_2 = Model(
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name = 'grok-2',
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base_provider = 'x.ai',
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best_provider = Liaobots
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)
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grok_2_mini = Model(
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name = 'grok-2-mini',
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base_provider = 'x.ai',
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best_provider = Liaobots
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)
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grok_beta = Model(
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name = 'grok-beta',
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base_provider = 'x.ai',
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best_provider = Liaobots
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)
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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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best_provider = IterListProvider([PerplexityLabs])
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)
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sonar_chat = Model(
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name = 'sonar-chat',
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base_provider = 'Perplexity AI',
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best_provider = PerplexityLabs
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)
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### Nvidia ###
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nemotron_70b = Model(
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name = 'nemotron-70b',
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base_provider = 'Nvidia',
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best_provider = IterListProvider([HuggingChat, HuggingFace])
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)
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### Teknium ###
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openhermes_2_5 = Model(
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name = 'openhermes-2.5',
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base_provider = 'Teknium',
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best_provider = Airforce
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)
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### Liquid ###
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lfm_40b = Model(
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name = 'lfm-40b',
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base_provider = 'Liquid',
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best_provider = Airforce
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)
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### DiscoResearch ###
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german_7b = Model(
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name = 'german-7b',
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base_provider = 'DiscoResearch',
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best_provider = Airforce
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)
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### HuggingFaceH4 ###
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zephyr_7b = Model(
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name = 'zephyr-7b',
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base_provider = 'HuggingFaceH4',
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best_provider = Airforce
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)
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### Inferless ###
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neural_7b = Model(
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name = 'neural-7b',
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base_provider = 'inferless',
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best_provider = Airforce
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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 = Model(
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name = 'sdxl',
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base_provider = 'Stability AI',
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best_provider = IterListProvider([ReplicateHome])
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)
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sd_3 = Model(
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name = 'sd-3',
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base_provider = 'Stability AI',
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best_provider = ReplicateHome
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)
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### Playground ###
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playground_v2_5 = Model(
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name = 'playground-v2.5',
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base_provider = 'Playground AI',
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best_provider = ReplicateHome
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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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base_provider = 'Flux AI',
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best_provider = IterListProvider([Blackbox, AIUncensored, Airforce])
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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([Airforce])
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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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)
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flux_anime = Model(
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name = 'flux-anime',
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base_provider = 'Flux AI',
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best_provider = Airforce
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)
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flux_3d = Model(
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name = 'flux-3d',
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base_provider = 'Flux AI',
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best_provider = Airforce
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)
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flux_disney = Model(
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name = 'flux-disney',
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base_provider = 'Flux AI',
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best_provider = Airforce
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)
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flux_pixel = Model(
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name = 'flux-pixel',
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base_provider = 'Flux AI',
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best_provider = Airforce
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)
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flux_4o = Model(
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name = 'flux-4o',
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base_provider = 'Flux AI',
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best_provider = Airforce
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)
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flux_schnell = Model(
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name = 'flux-schnell',
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base_provider = 'Flux AI',
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best_provider = ReplicateHome
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)
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### Other ###
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any_dark = Model(
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name = 'any-dark',
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base_provider = '',
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best_provider = Airforce
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)
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class ModelUtils:
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"""
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Utility class for mapping string identifiers to Model instances.
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Attributes:
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convert (dict[str, Model]): Dictionary mapping model string identifiers to Model instances.
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"""
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convert: dict[str, Model] = {
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############
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### Text ###
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############
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### OpenAI ###
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# gpt-3.5
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'gpt-3.5-turbo': gpt_35_turbo,
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# gpt-4
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'gpt-4o': gpt_4o,
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'gpt-4o-mini': gpt_4o_mini,
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'gpt-4': gpt_4,
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'gpt-4-turbo': gpt_4_turbo,
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# o1
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'o1': o1,
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'o1-mini': o1_mini,
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### Meta ###
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"meta-ai": meta,
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# llama-2
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'llama-2-7b': llama_2_7b,
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# llama-3
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'llama-3-8b': llama_3_8b,
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'llama-3-70b': llama_3_70b,
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# llama-3.1
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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-3.2-1b': llama_3_2_1b,
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'llama-3.2-11b': llama_3_2_11b,
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### Mistral ###
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'mistral-7b': mistral_7b,
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'mixtral-8x7b': mixtral_8x7b,
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'mistral-nemo': mistral_nemo,
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### NousResearch ###
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'hermes-2-pro': hermes_2_pro,
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'hermes-2-dpo': hermes_2_dpo,
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'hermes-3': hermes_3,
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### Microsoft ###
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'phi-2': phi_2,
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'phi-3.5-mini': phi_3_5_mini,
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### Google ###
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# gemini
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'gemini': gemini,
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'gemini-pro': gemini_pro,
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'gemini-flash': gemini_flash,
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# gemma
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'gemma-2b': gemma_2b,
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### Anthropic ###
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'claude-2.1': claude_2_1,
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# claude 3
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'claude-3-opus': claude_3_opus,
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'claude-3-sonnet': claude_3_sonnet,
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'claude-3-haiku': claude_3_haiku,
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# claude 3.5
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'claude-3.5-sonnet': claude_3_5_sonnet,
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### Reka AI ###
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'reka-core': reka_core,
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### Blackbox AI ###
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'blackboxai': blackboxai,
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'blackboxai-pro': blackboxai_pro,
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### CohereForAI ###
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'command-r+': command_r_plus,
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### GigaChat ###
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'gigachat': gigachat,
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### Qwen ###
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# qwen 1.5
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'qwen-1.5-7b': qwen_1_5_7b,
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# qwen 2
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'qwen-2-72b': qwen_2_72b,
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# qwen 2.5
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'qwen-2.5-coder-32b': qwen_2_5_coder_32b,
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### Upstage ###
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'solar-mini': solar_mini,
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'solar-pro': solar_pro,
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### Inflection ###
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'pi': pi,
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### DeepSeek ###
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'deepseek-coder': deepseek_coder,
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### Yorickvp ###
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'llava-13b': llava_13b,
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### WizardLM ###
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'wizardlm-2-8x22b': wizardlm_2_8x22b,
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### OpenChat ###
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'openchat-3.5': openchat_3_5,
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### x.ai ###
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'grok-2': grok_2,
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'grok-2-mini': grok_2_mini,
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'grok-beta': grok_beta,
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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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### TheBloke ###
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'german-7b': german_7b,
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### Nvidia ###
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'nemotron-70b': nemotron_70b,
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### Teknium ###
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'openhermes-2.5': openhermes_2_5,
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### Liquid ###
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'lfm-40b': lfm_40b,
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### DiscoResearch ###
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'german-7b': german_7b,
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### HuggingFaceH4 ###
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'zephyr-7b': zephyr_7b,
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### Inferless ###
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'neural-7b': neural_7b,
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#############
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### Image ###
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#############
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### Stability AI ###
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'sdxl': sdxl,
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'sd-3': sd_3,
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### Playground ###
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'playground-v2.5': playground_v2_5,
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### Flux AI ###
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'flux': flux,
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'flux-pro': flux_pro,
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'flux-realism': flux_realism,
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'flux-anime': flux_anime,
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'flux-3d': flux_3d,
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'flux-disney': flux_disney,
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'flux-pixel': flux_pixel,
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'flux-4o': flux_4o,
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'flux-schnell': flux_schnell,
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### Other ###
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'any-dark': any_dark,
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}
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_all_models = list(ModelUtils.convert.keys())
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