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Diffstat (limited to '')
| -rw-r--r-- | g4f/models.py | 218 |
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, - } |