2023-10-01 05:27:21 +03:00
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from __future__ import annotations
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2024-02-22 02:16:58 +03:00
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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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AI365VIP,
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Allyfy,
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Bing,
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Blackbox,
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ChatGot,
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Chatgpt4o,
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Chatgpt4Online,
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ChatgptFree,
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DDG,
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DeepInfra,
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DeepInfraImage,
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FreeChatgpt,
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FreeGpt,
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Gemini,
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GeminiPro,
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GeminiProChat,
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GigaChat,
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HuggingChat,
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HuggingFace,
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Koala,
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Liaobots,
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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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Replicate,
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ReplicateHome,
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Vercel,
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You,
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)
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2023-09-20 07:12:34 +03:00
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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 = Model(
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name = "",
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base_provider = "",
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best_provider = IterListProvider([
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Bing,
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You,
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OpenaiChat,
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FreeChatgpt,
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AI365VIP,
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Chatgpt4o,
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DDG,
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ChatgptFree,
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Koala,
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Pizzagpt,
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])
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)
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2023-11-16 18:56:23 +03:00
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# GPT-3.5 too, but all providers supports long requests and responses
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gpt_35_long = 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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FreeGpt,
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You,
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Koala,
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ChatgptFree,
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FreeChatgpt,
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DDG,
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AI365VIP,
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Pizzagpt,
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Allyfy,
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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 / GPT-4 ###
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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([
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FreeGpt,
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You,
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Koala,
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ChatgptFree,
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FreeChatgpt,
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DDG,
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AI365VIP,
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Pizzagpt,
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Allyfy,
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])
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)
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gpt_35_turbo_16k = Model(
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name = 'gpt-3.5-turbo-16k',
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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_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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)
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# gpt-4
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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([
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Bing, Chatgpt4Online
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])
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)
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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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)
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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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)
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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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2023-12-21 03:03:28 +03:00
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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 = Bing
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)
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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([
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You, Liaobots, Chatgpt4o, AI365VIP, OpenaiChat
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])
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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([
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Liaobots, OpenaiChat, You,
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])
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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",
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base_provider = "meta",
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best_provider = MetaAI
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)
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llama3_8b_instruct = Model(
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name = "meta-llama/Meta-Llama-3-8B-Instruct",
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base_provider = "meta",
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best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
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)
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llama3_70b_instruct = Model(
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name = "meta-llama/Meta-Llama-3-70B-Instruct",
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base_provider = "meta",
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best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate, DDG, ReplicateHome])
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)
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llama_3_1_70b_Instruct = Model(
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name = "meta-llama/Meta-Llama-3.1-70B-Instruct",
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base_provider = "meta",
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best_provider = IterListProvider([HuggingChat, HuggingFace])
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)
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llama_3_1_405b_Instruct_FP8 = Model(
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name = "meta-llama/Meta-Llama-3.1-405B-Instruct-FP8",
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base_provider = "meta",
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best_provider = IterListProvider([HuggingChat, HuggingFace])
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)
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codellama_34b_instruct = Model(
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name = "codellama/CodeLlama-34b-Instruct-hf",
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base_provider = "meta",
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best_provider = HuggingChat
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)
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2023-10-26 22:32:49 +03:00
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2024-02-04 21:50:32 +03:00
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codellama_70b_instruct = Model(
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name = "codellama/CodeLlama-70b-Instruct-hf",
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base_provider = "meta",
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best_provider = IterListProvider([DeepInfra])
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)
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2024-07-08 23:41:19 +03:00
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### Mistral ###
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mixtral_8x7b = Model(
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name = "mistralai/Mixtral-8x7B-Instruct-v0.1",
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base_provider = "huggingface",
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best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs, HuggingChat, DDG, ReplicateHome])
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)
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mistral_7b_v02 = Model(
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name = "mistralai/Mistral-7B-Instruct-v0.2",
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base_provider = "huggingface",
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best_provider = IterListProvider([DeepInfra, HuggingFace, HuggingChat])
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)
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### NousResearch ###
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Nous_Hermes_2_Mixtral_8x7B_DPO = Model(
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name = "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
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base_provider = "NousResearch",
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best_provider = IterListProvider([HuggingFace, HuggingChat])
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)
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### 01-ai ###
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Yi_1_5_34B_Chat = Model(
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name = "01-ai/Yi-1.5-34B-Chat",
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base_provider = "01-ai",
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best_provider = IterListProvider([HuggingFace, HuggingChat])
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)
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### Microsoft ###
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Phi_3_mini_4k_instruct = Model(
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name = "microsoft/Phi-3-mini-4k-instruct",
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base_provider = "Microsoft",
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best_provider = IterListProvider([HuggingFace, HuggingChat])
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)
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2023-12-13 15:15:27 +03:00
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### Google ###
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# gemini
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gemini = Model(
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name = 'gemini',
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base_provider = 'Google',
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best_provider = Gemini
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)
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gemini_pro = Model(
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name = 'gemini-pro',
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base_provider = 'Google',
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best_provider = IterListProvider([GeminiPro, You, ChatGot, GeminiProChat, 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',
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best_provider = IterListProvider([Liaobots])
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)
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# gemma
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gemma_2b_it = Model(
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name = 'gemma-2b-it',
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base_provider = 'Google',
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best_provider = IterListProvider([ReplicateHome])
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)
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2024-07-08 23:41:19 +03:00
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gemma_2_9b_it = Model(
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name = 'gemma-2-9b-it',
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base_provider = 'Google',
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best_provider = IterListProvider([PerplexityLabs])
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)
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gemma_2_27b_it = Model(
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name = 'gemma-2-27b-it',
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base_provider = 'Google',
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best_provider = IterListProvider([PerplexityLabs])
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|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
### Anthropic ###
|
2024-07-25 09:21:55 +03:00
|
|
|
claude_2 = Model(
|
|
|
|
name = 'claude-2',
|
|
|
|
base_provider = 'Anthropic',
|
|
|
|
best_provider = IterListProvider([You])
|
|
|
|
)
|
|
|
|
|
|
|
|
claude_2_0 = Model(
|
|
|
|
name = 'claude-2.0',
|
|
|
|
base_provider = 'Anthropic',
|
|
|
|
best_provider = IterListProvider([Liaobots])
|
|
|
|
)
|
|
|
|
|
|
|
|
claude_2_1 = Model(
|
|
|
|
name = 'claude-2.1',
|
|
|
|
base_provider = 'Anthropic',
|
|
|
|
best_provider = IterListProvider([Liaobots])
|
2024-01-23 07:02:14 +03:00
|
|
|
)
|
2023-09-18 00:23:54 +03:00
|
|
|
|
2024-03-11 04:41:59 +03:00
|
|
|
claude_3_opus = Model(
|
|
|
|
name = 'claude-3-opus',
|
2024-07-25 09:21:55 +03:00
|
|
|
base_provider = 'Anthropic',
|
|
|
|
best_provider = IterListProvider([You, Liaobots])
|
2024-03-11 04:41:59 +03:00
|
|
|
)
|
|
|
|
|
|
|
|
claude_3_sonnet = Model(
|
|
|
|
name = 'claude-3-sonnet',
|
2024-07-25 09:21:55 +03:00
|
|
|
base_provider = 'Anthropic',
|
|
|
|
best_provider = IterListProvider([You, Liaobots])
|
|
|
|
)
|
|
|
|
|
|
|
|
claude_3_5_sonnet = Model(
|
|
|
|
name = 'claude-3-5-sonnet',
|
|
|
|
base_provider = 'Anthropic',
|
|
|
|
best_provider = IterListProvider([Liaobots])
|
2024-03-11 04:41:59 +03:00
|
|
|
)
|
|
|
|
|
2024-05-19 06:09:55 +03:00
|
|
|
claude_3_haiku = Model(
|
|
|
|
name = 'claude-3-haiku',
|
2024-07-25 09:21:55 +03:00
|
|
|
base_provider = 'Anthropic',
|
|
|
|
best_provider = IterListProvider([DDG, AI365VIP, Liaobots])
|
2024-05-19 06:09:55 +03:00
|
|
|
)
|
|
|
|
|
2023-09-20 06:00:19 +03:00
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
### Reka AI ###
|
|
|
|
reka_core = Model(
|
|
|
|
name = 'reka-core',
|
|
|
|
base_provider = 'Reka AI',
|
|
|
|
best_provider = Reka
|
2023-10-10 16:11:17 +03:00
|
|
|
)
|
2023-09-22 22:36:44 +03:00
|
|
|
|
2023-09-18 00:23:54 +03:00
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
### NVIDIA ###
|
|
|
|
nemotron_4_340b_instruct = Model(
|
|
|
|
name = 'nemotron-4-340b-instruct',
|
|
|
|
base_provider = 'NVIDIA',
|
|
|
|
best_provider = IterListProvider([PerplexityLabs])
|
2023-10-07 20:10:26 +03:00
|
|
|
)
|
2023-09-29 17:21:18 +03:00
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
### Blackbox ###
|
|
|
|
blackbox = Model(
|
|
|
|
name = 'blackbox',
|
|
|
|
base_provider = 'Blackbox',
|
|
|
|
best_provider = Blackbox
|
2023-10-07 20:10:26 +03:00
|
|
|
)
|
2023-09-29 17:21:18 +03:00
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
### Databricks ###
|
|
|
|
dbrx_instruct = Model(
|
|
|
|
name = 'databricks/dbrx-instruct',
|
|
|
|
base_provider = 'Databricks',
|
|
|
|
best_provider = IterListProvider([DeepInfra])
|
2023-10-07 20:10:26 +03:00
|
|
|
)
|
2023-09-18 00:23:54 +03:00
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
### CohereForAI ###
|
|
|
|
command_r_plus = Model(
|
|
|
|
name = 'CohereForAI/c4ai-command-r-plus',
|
|
|
|
base_provider = 'CohereForAI',
|
|
|
|
best_provider = IterListProvider([HuggingChat])
|
2024-01-13 17:58:12 +03:00
|
|
|
)
|
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
|
2024-07-25 09:21:55 +03:00
|
|
|
### iFlytek ###
|
|
|
|
SparkDesk_v1_1 = Model(
|
|
|
|
name = 'SparkDesk-v1.1',
|
|
|
|
base_provider = 'iFlytek',
|
|
|
|
best_provider = IterListProvider([FreeChatgpt])
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
### DeepSeek ###
|
|
|
|
deepseek_coder = Model(
|
|
|
|
name = 'deepseek-coder',
|
|
|
|
base_provider = 'DeepSeek',
|
|
|
|
best_provider = IterListProvider([FreeChatgpt])
|
|
|
|
)
|
|
|
|
|
|
|
|
deepseek_chat = Model(
|
|
|
|
name = 'deepseek-chat',
|
|
|
|
base_provider = 'DeepSeek',
|
|
|
|
best_provider = IterListProvider([FreeChatgpt])
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
### Qwen ###
|
|
|
|
Qwen2_7B_Instruct = Model(
|
|
|
|
name = 'Qwen2-7B-Instruct',
|
|
|
|
base_provider = 'Qwen',
|
|
|
|
best_provider = IterListProvider([FreeChatgpt])
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
### Zhipu AI ###
|
|
|
|
glm4_9B_chat = Model(
|
|
|
|
name = 'glm4-9B-chat',
|
|
|
|
base_provider = 'Zhipu AI',
|
|
|
|
best_provider = IterListProvider([FreeChatgpt])
|
|
|
|
)
|
|
|
|
|
|
|
|
chatglm3_6B = Model(
|
|
|
|
name = 'chatglm3-6B',
|
|
|
|
base_provider = 'Zhipu AI',
|
|
|
|
best_provider = IterListProvider([FreeChatgpt])
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
### 01-ai ###
|
|
|
|
Yi_1_5_9B_Chat = Model(
|
|
|
|
name = 'Yi-1.5-9B-Chat',
|
|
|
|
base_provider = '01-ai',
|
|
|
|
best_provider = IterListProvider([FreeChatgpt])
|
|
|
|
)
|
|
|
|
|
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
### Other ###
|
2023-12-02 01:11:52 +03:00
|
|
|
pi = Model(
|
|
|
|
name = 'pi',
|
|
|
|
base_provider = 'inflection',
|
2024-01-23 03:47:55 +03:00
|
|
|
best_provider = Pi
|
2023-12-02 01:11:52 +03:00
|
|
|
)
|
2023-09-18 00:23:54 +03:00
|
|
|
|
2024-04-13 05:09:11 +03:00
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
#############
|
|
|
|
### Image ###
|
|
|
|
#############
|
2024-04-13 04:46:20 +03:00
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
### Stability AI ###
|
|
|
|
sdxl = Model(
|
|
|
|
name = 'stability-ai/sdxl',
|
|
|
|
base_provider = 'Stability AI',
|
2024-07-25 09:21:55 +03:00
|
|
|
best_provider = IterListProvider([DeepInfraImage])
|
|
|
|
|
|
|
|
)
|
|
|
|
|
|
|
|
stable_diffusion_3 = Model(
|
|
|
|
name = 'stability-ai/stable-diffusion-3',
|
|
|
|
base_provider = 'Stability AI',
|
|
|
|
best_provider = IterListProvider([ReplicateHome])
|
|
|
|
|
|
|
|
)
|
|
|
|
|
|
|
|
sdxl_lightning_4step = Model(
|
|
|
|
name = 'bytedance/sdxl-lightning-4step',
|
|
|
|
base_provider = 'Stability AI',
|
|
|
|
best_provider = IterListProvider([ReplicateHome])
|
2024-07-08 23:41:19 +03:00
|
|
|
|
2024-04-19 15:10:56 +03:00
|
|
|
)
|
|
|
|
|
2024-07-25 09:21:55 +03:00
|
|
|
playground_v2_5_1024px_aesthetic = Model(
|
|
|
|
name = 'playgroundai/playground-v2.5-1024px-aesthetic',
|
|
|
|
base_provider = 'Stability AI',
|
2024-07-08 23:41:19 +03:00
|
|
|
best_provider = IterListProvider([ReplicateHome])
|
|
|
|
|
2024-04-25 02:06:11 +03:00
|
|
|
)
|
|
|
|
|
2023-09-18 00:23:54 +03:00
|
|
|
class ModelUtils:
|
2024-01-14 09:45:41 +03:00
|
|
|
"""
|
|
|
|
Utility class for mapping string identifiers to Model instances.
|
|
|
|
|
|
|
|
Attributes:
|
|
|
|
convert (dict[str, Model]): Dictionary mapping model string identifiers to Model instances.
|
|
|
|
"""
|
2023-09-18 00:23:54 +03:00
|
|
|
convert: dict[str, Model] = {
|
2024-07-08 23:41:19 +03:00
|
|
|
|
2024-07-25 09:21:55 +03:00
|
|
|
############
|
|
|
|
### Text ###
|
|
|
|
############
|
2024-07-08 23:41:19 +03:00
|
|
|
|
2024-07-25 09:21:55 +03:00
|
|
|
### OpenAI ###
|
|
|
|
### GPT-3.5 / GPT-4 ###
|
2023-10-01 05:27:21 +03:00
|
|
|
# gpt-3.5
|
|
|
|
'gpt-3.5-turbo' : gpt_35_turbo,
|
2023-10-06 21:53:17 +03:00
|
|
|
'gpt-3.5-turbo-0613' : gpt_35_turbo_0613,
|
2023-10-01 05:27:21 +03:00
|
|
|
'gpt-3.5-turbo-16k' : gpt_35_turbo_16k,
|
|
|
|
'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613,
|
2023-12-06 13:54:50 +03:00
|
|
|
'gpt-3.5-long': gpt_35_long,
|
2024-05-19 06:09:55 +03:00
|
|
|
|
2023-10-01 05:27:21 +03:00
|
|
|
# gpt-4
|
2024-05-15 01:45:13 +03:00
|
|
|
'gpt-4o' : gpt_4o,
|
2024-07-25 09:21:55 +03:00
|
|
|
'gpt-4o-mini' : gpt_4o_mini,
|
2023-10-01 05:27:21 +03:00
|
|
|
'gpt-4' : gpt_4,
|
|
|
|
'gpt-4-0613' : gpt_4_0613,
|
|
|
|
'gpt-4-32k' : gpt_4_32k,
|
|
|
|
'gpt-4-32k-0613' : gpt_4_32k_0613,
|
2023-12-21 03:03:28 +03:00
|
|
|
'gpt-4-turbo' : gpt_4_turbo,
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
|
2024-07-25 09:21:55 +03:00
|
|
|
### Meta ###
|
2024-05-19 06:09:55 +03:00
|
|
|
"meta-ai": meta,
|
2024-07-08 23:41:19 +03:00
|
|
|
|
2024-05-19 06:09:55 +03:00
|
|
|
'llama3-8b': llama3_8b_instruct, # alias
|
2024-04-25 02:06:11 +03:00
|
|
|
'llama3-70b': llama3_70b_instruct, # alias
|
2024-04-19 15:10:56 +03:00
|
|
|
'llama3-8b-instruct' : llama3_8b_instruct,
|
|
|
|
'llama3-70b-instruct': llama3_70b_instruct,
|
2024-07-25 09:21:55 +03:00
|
|
|
'llama-3.1-70b-Instruct': llama_3_1_70b_Instruct,
|
|
|
|
'llama-3.1-405B-Instruct-FP8': llama_3_1_405b_Instruct_FP8,
|
|
|
|
|
2024-05-19 06:09:55 +03:00
|
|
|
|
2024-01-23 07:02:14 +03:00
|
|
|
'codellama-34b-instruct': codellama_34b_instruct,
|
2024-02-04 21:50:32 +03:00
|
|
|
'codellama-70b-instruct': codellama_70b_instruct,
|
2024-03-14 01:29:49 +03:00
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
### Mistral (Opensource) ###
|
2023-12-13 15:15:27 +03:00
|
|
|
'mixtral-8x7b': mixtral_8x7b,
|
2024-04-12 06:18:08 +03:00
|
|
|
'mistral-7b-v02': mistral_7b_v02,
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
|
|
|
|
### NousResearch ###
|
2024-07-25 09:21:55 +03:00
|
|
|
'Nous-Hermes-2-Mixtral-8x7B-DPO': Nous_Hermes_2_Mixtral_8x7B_DPO,
|
2024-05-19 06:09:55 +03:00
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
|
2024-07-25 09:21:55 +03:00
|
|
|
### 01-ai ###
|
|
|
|
'Yi-1.5-34B-Chat': Yi_1_5_34B_Chat,
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
|
2024-07-25 09:21:55 +03:00
|
|
|
### Microsoft ###
|
|
|
|
'Phi-3-mini-4k-instruct': Phi_3_mini_4k_instruct,
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
|
|
|
|
### Google ###
|
|
|
|
# gemini
|
2024-02-09 16:24:15 +03:00
|
|
|
'gemini': gemini,
|
2024-01-13 17:58:12 +03:00
|
|
|
'gemini-pro': gemini_pro,
|
2024-07-25 09:21:55 +03:00
|
|
|
'gemini-flash': gemini_flash,
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
# gemma
|
2024-07-25 09:21:55 +03:00
|
|
|
'gemma-2b-it': gemma_2b_it,
|
2024-07-08 23:41:19 +03:00
|
|
|
'gemma-2-9b-it': gemma_2_9b_it,
|
|
|
|
'gemma-2-27b-it': gemma_2_27b_it,
|
|
|
|
|
2024-05-19 06:09:55 +03:00
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
### Anthropic ###
|
2024-07-25 09:21:55 +03:00
|
|
|
'claude-2': claude_2,
|
|
|
|
'claude-2.0': claude_2_0,
|
|
|
|
'claude-2.1': claude_2_1,
|
2024-03-11 04:41:59 +03:00
|
|
|
'claude-3-opus': claude_3_opus,
|
|
|
|
'claude-3-sonnet': claude_3_sonnet,
|
2024-07-25 09:21:55 +03:00
|
|
|
'claude-3-5-sonnet': claude_3_5_sonnet,
|
2024-05-19 06:09:55 +03:00
|
|
|
'claude-3-haiku': claude_3_haiku,
|
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
### Reka AI ###
|
2024-04-25 02:06:11 +03:00
|
|
|
'reka': reka_core,
|
2024-05-19 06:09:55 +03:00
|
|
|
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
### NVIDIA ###
|
|
|
|
'nemotron-4-340b-instruct': nemotron_4_340b_instruct,
|
|
|
|
|
|
|
|
|
2024-07-25 09:21:55 +03:00
|
|
|
### Blackbox ###
|
|
|
|
'blackbox': blackbox,
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
|
2024-07-25 09:21:55 +03:00
|
|
|
### CohereForAI ###
|
2024-04-13 05:09:11 +03:00
|
|
|
'command-r+': command_r_plus,
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
|
|
|
|
### Databricks ###
|
2024-04-13 04:46:20 +03:00
|
|
|
'dbrx-instruct': dbrx_instruct,
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
|
2024-07-25 09:21:55 +03:00
|
|
|
### GigaChat ###
|
2024-05-19 06:09:55 +03:00
|
|
|
'gigachat': gigachat,
|
2024-07-08 23:41:19 +03:00
|
|
|
|
|
|
|
|
2024-07-25 09:21:55 +03:00
|
|
|
### iFlytek ###
|
|
|
|
'SparkDesk-v1.1': SparkDesk_v1_1,
|
|
|
|
|
|
|
|
|
|
|
|
### DeepSeek ###
|
|
|
|
'deepseek-coder': deepseek_coder,
|
|
|
|
'deepseek-chat': deepseek_chat,
|
|
|
|
|
|
|
|
|
|
|
|
### ### Qwen ### ###
|
|
|
|
'Qwen2-7B-Instruct': Qwen2_7B_Instruct,
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### Zhipu AI ###
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'glm4-9B-chat': glm4_9B_chat,
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'chatglm3-6B': chatglm3_6B,
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### 01-ai ###
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'Yi-1.5-9B-Chat': Yi_1_5_9B_Chat,
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2024-07-08 23:41:19 +03:00
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# Other
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'pi': pi,
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#############
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2024-07-25 09:21:55 +03:00
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### Image ###
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#############
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2024-07-08 23:41:19 +03:00
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2024-07-25 09:21:55 +03:00
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### Stability AI ###
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2024-07-08 23:41:19 +03:00
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'sdxl': sdxl,
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2024-07-25 09:21:55 +03:00
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'stable-diffusion-3': stable_diffusion_3,
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### ByteDance ###
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'sdxl-lightning-4step': sdxl_lightning_4step,
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2024-07-08 23:41:19 +03:00
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2024-07-25 09:21:55 +03:00
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### ByteDance ###
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'sdxl-lightning-4step': sdxl_lightning_4step,
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### Playground ###
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'playground-v2.5-1024px-aesthetic': playground_v2_5_1024px_aesthetic,
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2023-10-01 05:27:21 +03:00
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}
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2023-10-19 17:14:48 +03:00
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2024-02-04 21:50:32 +03:00
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_all_models = list(ModelUtils.convert.keys())
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