gpt4free/g4f/models.py

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from __future__ import annotations
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from dataclasses import dataclass
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from .Provider import IterListProvider, ProviderType
from .Provider import (
Aichatos,
Bing,
Blackbox,
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ChatgptAi,
ChatgptNext,
Cnote,
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DeepInfra,
Feedough,
FreeGpt,
Gemini,
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GeminiPro,
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GigaChat,
HuggingChat,
HuggingFace,
Koala,
Liaobots,
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MetaAI,
OpenaiChat,
PerplexityLabs,
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Replicate,
Pi,
Vercel,
You,
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Reka
)
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@dataclass(unsafe_hash=True)
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class Model:
"""
Represents a machine learning model configuration.
Attributes:
name (str): Name of the model.
base_provider (str): Default provider for the model.
best_provider (ProviderType): The preferred provider for the model, typically with retry logic.
"""
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name: str
base_provider: str
best_provider: ProviderType = None
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@staticmethod
def __all__() -> list[str]:
"""Returns a list of all model names."""
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return _all_models
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default = Model(
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name = "",
base_provider = "",
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best_provider = IterListProvider([
Bing,
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ChatgptAi,
You,
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OpenaiChat,
])
)
# GPT-3.5 too, but all providers supports long requests and responses
gpt_35_long = Model(
name = 'gpt-3.5-turbo',
base_provider = 'openai',
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best_provider = IterListProvider([
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FreeGpt,
You,
ChatgptNext,
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OpenaiChat,
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Koala,
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])
)
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# GPT-3.5 / GPT-4
gpt_35_turbo = Model(
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name = 'gpt-3.5-turbo',
base_provider = 'openai',
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best_provider = IterListProvider([
FreeGpt,
You,
ChatgptNext,
Koala,
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OpenaiChat,
Aichatos,
Cnote,
Feedough,
])
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)
gpt_4 = Model(
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name = 'gpt-4',
base_provider = 'openai',
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best_provider = IterListProvider([
Bing, Liaobots,
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])
)
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gpt_4o = Model(
name = 'gpt-4o',
base_provider = 'openai',
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best_provider = IterListProvider([
You, Liaobots
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])
)
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gpt_4_turbo = Model(
name = 'gpt-4-turbo',
base_provider = 'openai',
best_provider = Bing
)
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gigachat = Model(
name = 'GigaChat:latest',
base_provider = 'gigachat',
best_provider = GigaChat
)
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meta = Model(
name = "meta",
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base_provider = "meta",
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best_provider = MetaAI
)
llama3_8b_instruct = Model(
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name = "meta-llama/Meta-Llama-3-8B-Instruct",
base_provider = "meta",
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best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
)
llama3_70b_instruct = Model(
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name = "meta-llama/Meta-Llama-3-70B-Instruct",
base_provider = "meta",
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best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
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)
codellama_34b_instruct = Model(
name = "codellama/CodeLlama-34b-Instruct-hf",
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base_provider = "meta",
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best_provider = HuggingChat
)
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codellama_70b_instruct = Model(
name = "codellama/CodeLlama-70b-Instruct-hf",
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base_provider = "meta",
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best_provider = IterListProvider([DeepInfra, PerplexityLabs])
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)
# Mistral
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mixtral_8x7b = Model(
name = "mistralai/Mixtral-8x7B-Instruct-v0.1",
base_provider = "huggingface",
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best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs])
)
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mistral_7b = Model(
name = "mistralai/Mistral-7B-Instruct-v0.1",
base_provider = "huggingface",
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best_provider = IterListProvider([HuggingChat, HuggingFace, PerplexityLabs])
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)
mistral_7b_v02 = Model(
name = "mistralai/Mistral-7B-Instruct-v0.2",
base_provider = "huggingface",
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best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs])
)
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# Bard
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gemini = Model(
name = 'gemini',
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base_provider = 'google',
best_provider = Gemini
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)
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claude_v2 = Model(
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name = 'claude-v2',
base_provider = 'anthropic',
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best_provider = IterListProvider([Vercel])
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)
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claude_3_opus = Model(
name = 'claude-3-opus',
base_provider = 'anthropic',
best_provider = You
)
claude_3_sonnet = Model(
name = 'claude-3-sonnet',
base_provider = 'anthropic',
best_provider = You
)
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claude_3_haiku = Model(
name = 'claude-3-haiku',
base_provider = 'anthropic',
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best_provider = None
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)
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gpt_35_turbo_16k = Model(
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name = 'gpt-3.5-turbo-16k',
base_provider = 'openai',
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best_provider = gpt_35_long.best_provider
)
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gpt_35_turbo_16k_0613 = Model(
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name = 'gpt-3.5-turbo-16k-0613',
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base_provider = 'openai',
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best_provider = gpt_35_long.best_provider
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)
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gpt_35_turbo_0613 = Model(
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name = 'gpt-3.5-turbo-0613',
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base_provider = 'openai',
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best_provider = gpt_35_turbo.best_provider
)
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gpt_4_0613 = Model(
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name = 'gpt-4-0613',
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base_provider = 'openai',
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best_provider = gpt_4.best_provider
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)
gpt_4_32k = Model(
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name = 'gpt-4-32k',
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base_provider = 'openai',
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best_provider = gpt_4.best_provider
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)
gpt_4_32k_0613 = Model(
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name = 'gpt-4-32k-0613',
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base_provider = 'openai',
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best_provider = gpt_4.best_provider
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)
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gemini_pro = Model(
name = 'gemini-pro',
base_provider = 'google',
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best_provider = IterListProvider([GeminiPro, You])
)
pi = Model(
name = 'pi',
base_provider = 'inflection',
best_provider = Pi
)
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dbrx_instruct = Model(
name = 'databricks/dbrx-instruct',
base_provider = 'mistral',
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best_provider = IterListProvider([DeepInfra, PerplexityLabs])
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)
command_r_plus = Model(
name = 'CohereForAI/c4ai-command-r-plus',
base_provider = 'mistral',
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best_provider = IterListProvider([HuggingChat])
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)
blackbox = Model(
name = 'blackbox',
base_provider = 'blackbox',
best_provider = Blackbox
)
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reka_core = Model(
name = 'reka-core',
base_provider = 'Reka AI',
best_provider = Reka
)
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class ModelUtils:
"""
Utility class for mapping string identifiers to Model instances.
Attributes:
convert (dict[str, Model]): Dictionary mapping model string identifiers to Model instances.
"""
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convert: dict[str, Model] = {
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# gpt-3.5
'gpt-3.5-turbo' : gpt_35_turbo,
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'gpt-3.5-turbo-0613' : gpt_35_turbo_0613,
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'gpt-3.5-turbo-16k' : gpt_35_turbo_16k,
'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613,
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'gpt-3.5-long': gpt_35_long,
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# gpt-4
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'gpt-4o' : gpt_4o,
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'gpt-4' : gpt_4,
'gpt-4-0613' : gpt_4_0613,
'gpt-4-32k' : gpt_4_32k,
'gpt-4-32k-0613' : gpt_4_32k_0613,
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'gpt-4-turbo' : gpt_4_turbo,
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"meta-ai": meta,
'llama3-8b': llama3_8b_instruct, # alias
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'llama3-70b': llama3_70b_instruct, # alias
'llama3-8b-instruct' : llama3_8b_instruct,
'llama3-70b-instruct': llama3_70b_instruct,
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'codellama-34b-instruct': codellama_34b_instruct,
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'codellama-70b-instruct': codellama_70b_instruct,
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# Mistral Opensource
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'mixtral-8x7b': mixtral_8x7b,
'mistral-7b': mistral_7b,
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'mistral-7b-v02': mistral_7b_v02,
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# google gemini
'gemini': gemini,
'gemini-pro': gemini_pro,
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# anthropic
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'claude-v2': claude_v2,
'claude-3-opus': claude_3_opus,
'claude-3-sonnet': claude_3_sonnet,
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'claude-3-haiku': claude_3_haiku,
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# reka core
'reka': reka_core,
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# other
'blackbox': blackbox,
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'command-r+': command_r_plus,
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'dbrx-instruct': dbrx_instruct,
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'gigachat': gigachat,
'pi': pi
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}
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_all_models = list(ModelUtils.convert.keys())