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Diffstat (limited to 'g4f/models.py')
| -rw-r--r-- | g4f/models.py | 212 |
1 files changed, 212 insertions, 0 deletions
diff --git a/g4f/models.py b/g4f/models.py new file mode 100644 index 00000000..e095ce7e --- /dev/null +++ b/g4f/models.py @@ -0,0 +1,212 @@ +from __future__ import annotations +from dataclasses import dataclass +from .Provider import BaseProvider, Bard, H2o, Vercel +from .Provider import Aichat, Aivvm, ChatBase, ChatgptAi, ChatgptLogin, CodeLinkAva +from .Provider import DeepAi, Vercel, Vitalentum, Ylokh, You, Yqcloud +from .typing import Union + +@dataclass +class Model: + name: str + base_provider: str + best_provider: Union[type[BaseProvider], tuple[type[BaseProvider]]] = None + +# Config for HuggingChat, OpenAssistant +# Works for Liaobots, H2o, OpenaiChat, Yqcloud, You +default = Model( + name="", + base_provider="huggingface" +) + +# 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', +) + +# 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') + +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, + }
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