path: root/g4f/models.py

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,
    }