NeuroGPT / g4f /models.py
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from dataclasses import dataclass
import random
from .Provider import *
@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=Wewordle,
)
# GPT-3.5 / GPT-4
gpt_35_turbo_0613 = Model(
name="gpt-3.5-turbo-0613",
base_provider="openai",
best_provider=Wewordle,
)
gpt_4 = Model(
name="gpt-4",
base_provider="openai",
best_provider=Vercel,
)
gpt_4_0314 = Model(
name="gpt-4-0314",
base_provider="openai",
best_provider=Vercel,
)
gpt_4_0613 = Model(
name="gpt-4-0613",
base_provider="openai",
best_provider=Vercel,
)
gpt_4_32k = Model(
name="gpt-4-32k",
base_provider="openai",
best_provider=Vercel,
)
gpt_4_32k_0314 = Model(
name="gpt-4-32k-0314",
base_provider="openai",
best_provider=Vercel,
)
gpt_4_32k_0613 = Model(
name="gpt-4-32k-0613",
base_provider="openai",
best_provider=Vercel,
)
# Bard
palm = Model(
name="palm",
base_provider="google",
best_provider=Bard,
)
# 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,
)
santacoder = Model(
name="huggingface:bigcode/santacoder",
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_curie_001 = Model(
name="openai:text-curie-001",
base_provider="openai",
best_provider=Vercel,
)
text_davinci_003 = Model(
name="openai:text-davinci-003",
base_provider="openai",
best_provider=Vercel,
)
llama70b_v2_chat = Model(
name="replicate:a16z-infra/llama70b-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-3.5-turbo-0613": gpt_35_turbo_0613,
"gpt-3.5-turbo-16k": gpt_35_turbo_16k,
"gpt-3.5-turbo-16k_0613": gpt_35_turbo_16k_0613,
"gpt-4": gpt_4,
"gpt-4-0314": gpt_4_0314,
"gpt-4-0613": gpt_4_0613,
"gpt-4-32k": gpt_4_32k,
"gpt-4-32k-0314": gpt_4_32k_0314,
"gpt-4-32k-0613": gpt_4_32k_0613,
# Bard
"palm2": palm,
"palm": palm,
"google": palm,
"google-bard": palm,
"google-palm": palm,
"bard": palm,
# Vercel
"claude-instant-v1": claude_instant_v1,
"claude-v1": claude_v1,
"claude-v2": claude_v2,
"command-light-nightly": command_light_nightly,
"command-nightly": command_nightly,
"santacoder": santacoder,
"code-davinci-002": code_davinci_002,
"gpt-3.5-turbo-16k": gpt_35_turbo_16k,
"gpt-3.5-turbo-16k-0613": gpt_35_turbo_16k_0613,
"gpt-4-0613": gpt_4_0613,
"text-ada-001": text_ada_001,
"text-curie-001": text_curie_001,
"text-davinci-003": text_davinci_003,
"llama70b-v2-chat": llama70b_v2_chat,
}