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g4f/models.py
312
g4f/models.py
@ -1,264 +1,264 @@
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from __future__ import annotations
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from __future__ import annotations
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from dataclasses import dataclass
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from .typing import Union
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from .Provider import BaseProvider, RetryProvider
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from .Provider import (
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from .typing import Union
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from .Provider import BaseProvider, RetryProvider
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from .Provider import (
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AItianhuSpace,
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ChatgptLogin,
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PerplexityAi,
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ChatgptDuo,
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ChatgptAi,
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ChatBase,
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Vercel,
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DeepAi,
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Aivvm,
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Bard,
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H2o,
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GptGo,
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Bing,
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PerplexityAi,
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AItianhu,
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Wewordle,
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Yqcloud,
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AItianhu,
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AItianhuSpace,
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Aichat,
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Myshell,
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Vercel,
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DeepAi,
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Aichat,
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Aivvm,
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GptGo,
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Bard,
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Aibn,
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ChatgptDuo,
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Bing,
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H2o,
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)
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@dataclass(unsafe_hash=True)
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class Model:
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name: str
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base_provider: str
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best_provider: Union[type[BaseProvider], RetryProvider] = None
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# Config for HuggingChat, OpenAssistant
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# Works for Liaobots, H2o, OpenaiChat, Yqcloud, You
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default = Model(
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name="",
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base_provider="",
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best_provider=RetryProvider([
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Bing, # Not fully GPT 3 or 4
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PerplexityAi, # Adds references to sources
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Wewordle, # Responds with markdown
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Yqcloud, # Answers short questions in chinese
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ChatBase, # Don't want to answer creatively
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ChatgptDuo, # Include search results
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name = "",
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base_provider = "",
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best_provider = RetryProvider([
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Bing, # Not fully GPT 3 or 4
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PerplexityAi, # Adds references to sources
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Wewordle, # Responds with markdown
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Yqcloud, # Answers short questions in chinese
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ChatBase, # Don't want to answer creatively
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ChatgptDuo, # Include search results
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DeepAi, ChatgptLogin, ChatgptAi, Aivvm, GptGo, AItianhu, AItianhuSpace, Aichat, Myshell, Aibn,
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])
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)
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# GPT-3.5 / GPT-4
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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=RetryProvider([
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name = 'gpt-3.5-turbo',
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base_provider = 'openai',
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best_provider = RetryProvider([
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DeepAi, ChatgptLogin, ChatgptAi, Aivvm, GptGo, AItianhu, Aichat, AItianhuSpace, Myshell, Aibn,
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])
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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=RetryProvider([
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Myshell, AItianhuSpace, Aivvm
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name = 'gpt-4',
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base_provider = 'openai',
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best_provider = RetryProvider([
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Myshell, AItianhuSpace,
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])
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)
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# Bard
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palm = Model(
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name='palm',
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base_provider='google',
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best_provider=Bard)
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name = 'palm',
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base_provider = 'google',
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best_provider = Bard)
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# H2o
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falcon_7b = Model(
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name='h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3',
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base_provider='huggingface',
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best_provider=H2o)
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name = 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3',
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base_provider = 'huggingface',
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best_provider = H2o)
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falcon_40b = Model(
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name='h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1',
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base_provider='huggingface',
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best_provider=H2o)
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name = 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1',
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base_provider = 'huggingface',
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best_provider = H2o)
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llama_13b = Model(
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name='h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b',
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base_provider='huggingface',
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best_provider=H2o)
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name = 'h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b',
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base_provider = 'huggingface',
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best_provider = H2o)
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# Vercel
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claude_instant_v1 = Model(
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name='claude-instant-v1',
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base_provider='anthropic',
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best_provider=Vercel)
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name = 'claude-instant-v1',
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base_provider = 'anthropic',
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best_provider = Vercel)
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claude_v1 = Model(
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name='claude-v1',
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base_provider='anthropic',
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best_provider=Vercel)
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name = 'claude-v1',
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base_provider = 'anthropic',
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best_provider = Vercel)
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claude_v2 = Model(
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name='claude-v2',
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base_provider='anthropic',
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best_provider=Vercel)
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name = 'claude-v2',
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base_provider = 'anthropic',
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best_provider = Vercel)
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command_light_nightly = Model(
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name='command-light-nightly',
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base_provider='cohere',
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best_provider=Vercel)
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name = 'command-light-nightly',
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base_provider = 'cohere',
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best_provider = Vercel)
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command_nightly = Model(
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name='command-nightly',
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base_provider='cohere',
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best_provider=Vercel)
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name = 'command-nightly',
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base_provider = 'cohere',
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best_provider = Vercel)
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gpt_neox_20b = Model(
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name='EleutherAI/gpt-neox-20b',
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base_provider='huggingface',
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best_provider=Vercel)
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name = 'EleutherAI/gpt-neox-20b',
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base_provider = 'huggingface',
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best_provider = Vercel)
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oasst_sft_1_pythia_12b = Model(
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name='OpenAssistant/oasst-sft-1-pythia-12b',
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base_provider='huggingface',
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best_provider=Vercel)
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name = 'OpenAssistant/oasst-sft-1-pythia-12b',
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base_provider = 'huggingface',
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best_provider = Vercel)
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oasst_sft_4_pythia_12b_epoch_35 = Model(
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name='OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
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base_provider='huggingface',
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best_provider=Vercel)
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name = 'OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
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base_provider = 'huggingface',
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best_provider = Vercel)
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santacoder = Model(
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name='bigcode/santacoder',
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base_provider='huggingface',
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best_provider=Vercel)
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name = 'bigcode/santacoder',
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base_provider = 'huggingface',
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best_provider = Vercel)
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bloom = Model(
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name='bigscience/bloom',
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base_provider='huggingface',
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best_provider=Vercel)
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name = 'bigscience/bloom',
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base_provider = 'huggingface',
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best_provider = Vercel)
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flan_t5_xxl = Model(
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name='google/flan-t5-xxl',
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base_provider='huggingface',
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best_provider=Vercel)
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name = 'google/flan-t5-xxl',
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base_provider = 'huggingface',
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best_provider = Vercel)
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code_davinci_002 = Model(
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name='code-davinci-002',
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base_provider='openai',
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best_provider=Vercel)
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name = 'code-davinci-002',
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base_provider = 'openai',
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best_provider = Vercel)
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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=Aivvm)
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name = 'gpt-3.5-turbo-16k',
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base_provider = 'openai',
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best_provider = Vercel)
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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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name = 'gpt-3.5-turbo-16k-0613',
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base_provider = 'openai')
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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=RetryProvider([
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name = 'gpt-3.5-turbo-0613',
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base_provider = 'openai',
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best_provider = RetryProvider([
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Aivvm, ChatgptLogin
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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=Aivvm)
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name = 'gpt-4-0613',
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base_provider = 'openai',
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best_provider = Aivvm)
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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=Aivvm)
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name = 'gpt-4-32k',
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base_provider = 'openai',
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best_provider = Aivvm)
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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=Aivvm)
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name = 'gpt-4-32k-0613',
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base_provider = 'openai',
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best_provider = Aivvm)
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text_ada_001 = Model(
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name='text-ada-001',
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base_provider='openai',
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best_provider=Vercel)
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name = 'text-ada-001',
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base_provider = 'openai',
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best_provider = Vercel)
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text_babbage_001 = Model(
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name='text-babbage-001',
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base_provider='openai',
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best_provider=Vercel)
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name = 'text-babbage-001',
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base_provider = 'openai',
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best_provider = Vercel)
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text_curie_001 = Model(
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name='text-curie-001',
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base_provider='openai',
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best_provider=Vercel)
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name = 'text-curie-001',
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base_provider = 'openai',
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best_provider = Vercel)
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text_davinci_002 = Model(
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name='text-davinci-002',
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base_provider='openai',
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best_provider=Vercel)
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name = 'text-davinci-002',
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base_provider = 'openai',
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best_provider = Vercel)
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text_davinci_003 = Model(
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name='text-davinci-003',
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base_provider='openai',
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best_provider=Vercel)
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name = 'text-davinci-003',
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base_provider = 'openai',
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best_provider = Vercel)
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llama13b_v2_chat = Model(
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name='replicate:a16z-infra/llama13b-v2-chat',
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base_provider='replicate',
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best_provider=Vercel)
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name = 'replicate:a16z-infra/llama13b-v2-chat',
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base_provider = 'replicate',
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best_provider = Vercel)
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llama7b_v2_chat = Model(
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name='replicate:a16z-infra/llama7b-v2-chat',
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base_provider='replicate',
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best_provider=Vercel)
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name = 'replicate:a16z-infra/llama7b-v2-chat',
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base_provider = 'replicate',
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best_provider = Vercel)
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class ModelUtils:
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convert: dict[str, Model] = {
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# gpt-3.5 / gpt-4
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'gpt-3.5-turbo': gpt_35_turbo,
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'gpt-3.5-turbo-16k': gpt_35_turbo_16k,
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'gpt-3.5-turbo-16k-0613': gpt_35_turbo_16k_0613,
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'gpt-4': gpt_4,
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'gpt-4-0613': gpt_4_0613,
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'gpt-4-32k': gpt_4_32k,
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'gpt-4-32k-0613': gpt_4_32k_0613,
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# gpt-3.5
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'gpt-3.5-turbo' : gpt_35_turbo,
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'gpt-3.5-turbo-16k' : gpt_35_turbo_16k,
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'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613,
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# gpt-4
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'gpt-4' : gpt_4,
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'gpt-4-0613' : gpt_4_0613,
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'gpt-4-32k' : gpt_4_32k,
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'gpt-4-32k-0613' : gpt_4_32k_0613,
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# Bard
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'palm2': palm,
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'palm': palm,
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'google': palm,
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'google-bard': palm,
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'google-palm': palm,
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'bard': palm,
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'palm2' : palm,
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'palm' : palm,
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'google' : palm,
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'google-bard' : palm,
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'google-palm' : palm,
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'bard' : palm,
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# H2o
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'falcon-40b': falcon_40b,
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'falcon-7b': falcon_7b,
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'llama-13b': llama_13b,
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'falcon-40b' : falcon_40b,
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'falcon-7b' : falcon_7b,
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'llama-13b' : llama_13b,
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# Vercel
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'claude-instant-v1': claude_instant_v1,
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'claude-v1': claude_v1,
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'claude-v2': claude_v2,
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'command-nightly': command_nightly,
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'gpt-neox-20b': gpt_neox_20b,
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'santacoder': santacoder,
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'bloom': bloom,
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'flan-t5-xxl': flan_t5_xxl,
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'code-davinci-002': code_davinci_002,
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'text-ada-001': text_ada_001,
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'text-babbage-001': text_babbage_001,
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'text-curie-001': text_curie_001,
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'text-davinci-002': text_davinci_002,
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'text-davinci-003': text_davinci_003,
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'llama13b-v2-chat': llama13b_v2_chat,
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'llama7b-v2-chat': llama7b_v2_chat,
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'claude-instant-v1' : claude_instant_v1,
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'claude-v1' : claude_v1,
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'claude-v2' : claude_v2,
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'command-nightly' : command_nightly,
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'gpt-neox-20b' : gpt_neox_20b,
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'santacoder' : santacoder,
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'bloom' : bloom,
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'flan-t5-xxl' : flan_t5_xxl,
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'code-davinci-002' : code_davinci_002,
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'text-ada-001' : text_ada_001,
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'text-babbage-001' : text_babbage_001,
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'text-curie-001' : text_curie_001,
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'text-davinci-002' : text_davinci_002,
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'text-davinci-003' : text_davinci_003,
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'llama13b-v2-chat' : llama13b_v2_chat,
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'llama7b-v2-chat' : llama7b_v2_chat,
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'oasst-sft-1-pythia-12b': oasst_sft_1_pythia_12b,
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'oasst-sft-4-pythia-12b-epoch-3.5': oasst_sft_4_pythia_12b_epoch_35,
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'command-light-nightly': command_light_nightly,
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'oasst-sft-1-pythia-12b' : oasst_sft_1_pythia_12b,
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'oasst-sft-4-pythia-12b-epoch-3.5' : oasst_sft_4_pythia_12b_epoch_35,
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'command-light-nightly' : command_light_nightly,
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}
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