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-rw-r--r--g4f/models.py218
1 files changed, 0 insertions, 218 deletions
diff --git a/g4f/models.py b/g4f/models.py
deleted file mode 100644
index 9253c5c9..00000000
--- a/g4f/models.py
+++ /dev/null
@@ -1,218 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import dataclass
-
-from .Provider import (Aichat, Aivvm, ChatBase, ChatgptAi, ChatgptLogin, CodeLinkAva, BaseProvider, Bard, H2o, DeepAi,
- Vercel, Vitalentum, Ylokh, You, Yqcloud)
-from .typing import Union
-
-
-@dataclass
-class Model:
- name: str
- base_provider: str
- best_provider: Union[type[BaseProvider], list[type[BaseProvider]]]
-
-
-# Config for HuggingChat, OpenAssistant
-# Works for Liaobots, H2o, OpenaiChat, Yqcloud, You
-default = Model(
- name="",
- base_provider="huggingface",
- best_provider=H2o,
-)
-
-# GPT-3.5 / GPT-4
-gpt_35_turbo = Model(
- name='gpt-3.5-turbo',
- base_provider='openai',
- best_provider=[
- Vercel, Aichat, Aivvm, ChatBase, ChatgptAi, ChatgptLogin,
- CodeLinkAva, DeepAi, Vitalentum, Ylokh, You, Yqcloud
- ]
-)
-
-gpt_4 = Model(
- name='gpt-4',
- base_provider='openai',
- best_provider=Aivvm
-)
-
-# Bard
-palm = Model(
- name='palm',
- base_provider='google',
- best_provider=Bard)
-
-# H2o
-falcon_7b = Model(
- name='h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3',
- base_provider='huggingface',
- best_provider=H2o)
-
-falcon_40b = Model(
- name='h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1',
- base_provider='huggingface',
- best_provider=H2o)
-
-llama_13b = Model(
- name='h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b',
- base_provider='huggingface',
- best_provider=H2o)
-
-# Vercel
-claude_instant_v1 = Model(
- name='anthropic:claude-instant-v1',
- base_provider='anthropic',
- best_provider=Vercel)
-
-claude_v1 = Model(
- name='anthropic:claude-v1',
- base_provider='anthropic',
- best_provider=Vercel)
-
-claude_v2 = Model(
- name='anthropic:claude-v2',
- base_provider='anthropic',
- best_provider=Vercel)
-
-command_light_nightly = Model(
- name='cohere:command-light-nightly',
- base_provider='cohere',
- best_provider=Vercel)
-
-command_nightly = Model(
- name='cohere:command-nightly',
- base_provider='cohere',
- best_provider=Vercel)
-
-gpt_neox_20b = Model(
- name='huggingface:EleutherAI/gpt-neox-20b',
- base_provider='huggingface',
- best_provider=Vercel)
-
-oasst_sft_1_pythia_12b = Model(
- name='huggingface:OpenAssistant/oasst-sft-1-pythia-12b',
- base_provider='huggingface',
- best_provider=Vercel)
-
-oasst_sft_4_pythia_12b_epoch_35 = Model(
- name='huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
- base_provider='huggingface',
- best_provider=Vercel)
-
-santacoder = Model(
- name='huggingface:bigcode/santacoder',
- base_provider='huggingface',
- best_provider=Vercel)
-
-bloom = Model(
- name='huggingface:bigscience/bloom',
- base_provider='huggingface',
- best_provider=Vercel)
-
-flan_t5_xxl = Model(
- name='huggingface:google/flan-t5-xxl',
- base_provider='huggingface',
- best_provider=Vercel)
-
-code_davinci_002 = Model(
- name='openai:code-davinci-002',
- base_provider='openai',
- best_provider=Vercel)
-
-gpt_35_turbo_16k = Model(
- name='openai:gpt-3.5-turbo-16k',
- base_provider='openai',
- best_provider=Vercel)
-
-gpt_35_turbo_16k_0613 = Model(
- name='openai:gpt-3.5-turbo-16k-0613',
- base_provider='openai',
- best_provider=Vercel)
-
-gpt_4_0613 = Model(
- name='openai:gpt-4-0613',
- base_provider='openai',
- best_provider=Vercel)
-
-text_ada_001 = Model(
- name='openai:text-ada-001',
- base_provider='openai',
- best_provider=Vercel)
-
-text_babbage_001 = Model(
- name='openai:text-babbage-001',
- base_provider='openai',
- best_provider=Vercel)
-
-text_curie_001 = Model(
- name='openai:text-curie-001',
- base_provider='openai',
- best_provider=Vercel)
-
-text_davinci_002 = Model(
- name='openai:text-davinci-002',
- base_provider='openai',
- best_provider=Vercel)
-
-text_davinci_003 = Model(
- name='openai:text-davinci-003',
- base_provider='openai',
- best_provider=Vercel)
-
-llama13b_v2_chat = Model(
- name='replicate:a16z-infra/llama13b-v2-chat',
- base_provider='replicate',
- best_provider=Vercel)
-
-llama7b_v2_chat = Model(
- name='replicate:a16z-infra/llama7b-v2-chat',
- base_provider='replicate',
- best_provider=Vercel)
-
-
-class ModelUtils:
- convert: dict[str, Model] = {
- # GPT-3.5 / GPT-4
- 'gpt-3.5-turbo': gpt_35_turbo,
- 'gpt-4': gpt_4,
-
- # Bard
- 'palm2': palm,
- 'palm': palm,
- 'google': palm,
- 'google-bard': palm,
- 'google-palm': palm,
- 'bard': palm,
-
- # H2o
- 'falcon-40b': falcon_40b,
- 'falcon-7b': falcon_7b,
- 'llama-13b': llama_13b,
-
- # Vercel
- 'claude-instant-v1': claude_instant_v1,
- 'claude-v1': claude_v1,
- 'claude-v2': claude_v2,
- 'command-nightly': command_nightly,
- 'gpt-neox-20b': gpt_neox_20b,
- 'santacoder': santacoder,
- 'bloom': bloom,
- 'flan-t5-xxl': flan_t5_xxl,
- 'code-davinci-002': code_davinci_002,
- 'gpt-3.5-turbo-16k': gpt_35_turbo_16k,
- 'gpt-4-0613': gpt_4_0613,
- 'text-ada-001': text_ada_001,
- 'text-babbage-001': text_babbage_001,
- 'text-curie-001': text_curie_001,
- 'text-davinci-002': text_davinci_002,
- 'text-davinci-003': text_davinci_003,
- 'llama13b-v2-chat': llama13b_v2_chat,
- 'llama7b-v2-chat': llama7b_v2_chat,
-
- 'oasst-sft-1-pythia-12b': oasst_sft_1_pythia_12b,
- 'oasst-sft-4-pythia-12b-epoch-3.5': oasst_sft_4_pythia_12b_epoch_35,
- 'command-light-nightly': command_light_nightly,
- 'gpt-3.5-turbo-16k-0613': gpt_35_turbo_16k_0613,
- }