g4f/models.py

from __future__ import annotations
from dataclasses import dataclass
from .Provider import Bard, BaseProvider, GetGpt, H2o, Liaobots, Vercel, Equing

@dataclass
class Model:
    name: str
    base_provider: str
    best_provider: 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 = GetGpt)

gpt_4 = Model(
    name          = 'gpt-4',
    base_provider = 'openai',
    best_provider = Liaobots)

# 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 = Equing)

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,
    }