mirror of https://github.com/xtekky/gpt4free.git
This commit is contained in:
parent
6ba092469a
commit
e465899801
292
g4f/models.py
292
g4f/models.py
|
@ -3,41 +3,39 @@ from dataclasses import dataclass
|
|||
from .typing import Union
|
||||
from .Provider import BaseProvider, RetryProvider
|
||||
from .Provider import (
|
||||
AItianhuSpace,
|
||||
ChatgptLogin,
|
||||
PerplexityAi,
|
||||
ChatgptDuo,
|
||||
ChatgptAi,
|
||||
ChatBase,
|
||||
Vercel,
|
||||
DeepAi,
|
||||
Aivvm,
|
||||
Bard,
|
||||
H2o,
|
||||
GptGo,
|
||||
Bing,
|
||||
PerplexityAi,
|
||||
AItianhu,
|
||||
Wewordle,
|
||||
Yqcloud,
|
||||
AItianhu,
|
||||
AItianhuSpace,
|
||||
Aichat,
|
||||
Myshell,
|
||||
Vercel,
|
||||
DeepAi,
|
||||
Aichat,
|
||||
Aivvm,
|
||||
GptGo,
|
||||
Bard,
|
||||
Aibn,
|
||||
ChatgptDuo,
|
||||
Bing,
|
||||
H2o,
|
||||
)
|
||||
|
||||
|
||||
@dataclass(unsafe_hash=True)
|
||||
class Model:
|
||||
name: str
|
||||
base_provider: str
|
||||
best_provider: Union[type[BaseProvider], RetryProvider] = None
|
||||
|
||||
|
||||
# Config for HuggingChat, OpenAssistant
|
||||
# Works for Liaobots, H2o, OpenaiChat, Yqcloud, You
|
||||
default = Model(
|
||||
name="",
|
||||
base_provider="",
|
||||
best_provider=RetryProvider([
|
||||
name = "",
|
||||
base_provider = "",
|
||||
best_provider = RetryProvider([
|
||||
Bing, # Not fully GPT 3 or 4
|
||||
PerplexityAi, # Adds references to sources
|
||||
Wewordle, # Responds with markdown
|
||||
|
@ -50,215 +48,217 @@ default = Model(
|
|||
|
||||
# GPT-3.5 / GPT-4
|
||||
gpt_35_turbo = Model(
|
||||
name='gpt-3.5-turbo',
|
||||
base_provider='openai',
|
||||
best_provider=RetryProvider([
|
||||
name = 'gpt-3.5-turbo',
|
||||
base_provider = 'openai',
|
||||
best_provider = RetryProvider([
|
||||
DeepAi, ChatgptLogin, ChatgptAi, Aivvm, GptGo, AItianhu, Aichat, AItianhuSpace, Myshell, Aibn,
|
||||
])
|
||||
)
|
||||
|
||||
gpt_4 = Model(
|
||||
name='gpt-4',
|
||||
base_provider='openai',
|
||||
best_provider=RetryProvider([
|
||||
Myshell, AItianhuSpace, Aivvm
|
||||
name = 'gpt-4',
|
||||
base_provider = 'openai',
|
||||
best_provider = RetryProvider([
|
||||
Myshell, AItianhuSpace,
|
||||
])
|
||||
)
|
||||
|
||||
# Bard
|
||||
palm = Model(
|
||||
name='palm',
|
||||
base_provider='google',
|
||||
best_provider=Bard)
|
||||
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)
|
||||
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)
|
||||
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)
|
||||
name = 'h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b',
|
||||
base_provider = 'huggingface',
|
||||
best_provider = H2o)
|
||||
|
||||
# Vercel
|
||||
claude_instant_v1 = Model(
|
||||
name='claude-instant-v1',
|
||||
base_provider='anthropic',
|
||||
best_provider=Vercel)
|
||||
name = 'claude-instant-v1',
|
||||
base_provider = 'anthropic',
|
||||
best_provider = Vercel)
|
||||
|
||||
claude_v1 = Model(
|
||||
name='claude-v1',
|
||||
base_provider='anthropic',
|
||||
best_provider=Vercel)
|
||||
name = 'claude-v1',
|
||||
base_provider = 'anthropic',
|
||||
best_provider = Vercel)
|
||||
|
||||
claude_v2 = Model(
|
||||
name='claude-v2',
|
||||
base_provider='anthropic',
|
||||
best_provider=Vercel)
|
||||
name = 'claude-v2',
|
||||
base_provider = 'anthropic',
|
||||
best_provider = Vercel)
|
||||
|
||||
command_light_nightly = Model(
|
||||
name='command-light-nightly',
|
||||
base_provider='cohere',
|
||||
best_provider=Vercel)
|
||||
name = 'command-light-nightly',
|
||||
base_provider = 'cohere',
|
||||
best_provider = Vercel)
|
||||
|
||||
command_nightly = Model(
|
||||
name='command-nightly',
|
||||
base_provider='cohere',
|
||||
best_provider=Vercel)
|
||||
name = 'command-nightly',
|
||||
base_provider = 'cohere',
|
||||
best_provider = Vercel)
|
||||
|
||||
gpt_neox_20b = Model(
|
||||
name='EleutherAI/gpt-neox-20b',
|
||||
base_provider='huggingface',
|
||||
best_provider=Vercel)
|
||||
name = 'EleutherAI/gpt-neox-20b',
|
||||
base_provider = 'huggingface',
|
||||
best_provider = Vercel)
|
||||
|
||||
oasst_sft_1_pythia_12b = Model(
|
||||
name='OpenAssistant/oasst-sft-1-pythia-12b',
|
||||
base_provider='huggingface',
|
||||
best_provider=Vercel)
|
||||
name = 'OpenAssistant/oasst-sft-1-pythia-12b',
|
||||
base_provider = 'huggingface',
|
||||
best_provider = Vercel)
|
||||
|
||||
oasst_sft_4_pythia_12b_epoch_35 = Model(
|
||||
name='OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
|
||||
base_provider='huggingface',
|
||||
best_provider=Vercel)
|
||||
name = 'OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
|
||||
base_provider = 'huggingface',
|
||||
best_provider = Vercel)
|
||||
|
||||
santacoder = Model(
|
||||
name='bigcode/santacoder',
|
||||
base_provider='huggingface',
|
||||
best_provider=Vercel)
|
||||
name = 'bigcode/santacoder',
|
||||
base_provider = 'huggingface',
|
||||
best_provider = Vercel)
|
||||
|
||||
bloom = Model(
|
||||
name='bigscience/bloom',
|
||||
base_provider='huggingface',
|
||||
best_provider=Vercel)
|
||||
name = 'bigscience/bloom',
|
||||
base_provider = 'huggingface',
|
||||
best_provider = Vercel)
|
||||
|
||||
flan_t5_xxl = Model(
|
||||
name='google/flan-t5-xxl',
|
||||
base_provider='huggingface',
|
||||
best_provider=Vercel)
|
||||
name = 'google/flan-t5-xxl',
|
||||
base_provider = 'huggingface',
|
||||
best_provider = Vercel)
|
||||
|
||||
code_davinci_002 = Model(
|
||||
name='code-davinci-002',
|
||||
base_provider='openai',
|
||||
best_provider=Vercel)
|
||||
name = 'code-davinci-002',
|
||||
base_provider = 'openai',
|
||||
best_provider = Vercel)
|
||||
|
||||
gpt_35_turbo_16k = Model(
|
||||
name='gpt-3.5-turbo-16k',
|
||||
base_provider='openai',
|
||||
best_provider=Aivvm)
|
||||
name = 'gpt-3.5-turbo-16k',
|
||||
base_provider = 'openai',
|
||||
best_provider = Vercel)
|
||||
|
||||
gpt_35_turbo_16k_0613 = Model(
|
||||
name='gpt-3.5-turbo-16k-0613',
|
||||
base_provider='openai')
|
||||
name = 'gpt-3.5-turbo-16k-0613',
|
||||
base_provider = 'openai')
|
||||
|
||||
gpt_35_turbo_0613 = Model(
|
||||
name='gpt-3.5-turbo-0613',
|
||||
base_provider='openai',
|
||||
best_provider=RetryProvider([
|
||||
name = 'gpt-3.5-turbo-0613',
|
||||
base_provider = 'openai',
|
||||
best_provider = RetryProvider([
|
||||
Aivvm, ChatgptLogin
|
||||
])
|
||||
)
|
||||
|
||||
gpt_4_0613 = Model(
|
||||
name='gpt-4-0613',
|
||||
base_provider='openai',
|
||||
best_provider=Aivvm)
|
||||
name = 'gpt-4-0613',
|
||||
base_provider = 'openai',
|
||||
best_provider = Aivvm)
|
||||
|
||||
gpt_4_32k = Model(
|
||||
name='gpt-4-32k',
|
||||
base_provider='openai',
|
||||
best_provider=Aivvm)
|
||||
name = 'gpt-4-32k',
|
||||
base_provider = 'openai',
|
||||
best_provider = Aivvm)
|
||||
|
||||
gpt_4_32k_0613 = Model(
|
||||
name='gpt-4-32k-0613',
|
||||
base_provider='openai',
|
||||
best_provider=Aivvm)
|
||||
name = 'gpt-4-32k-0613',
|
||||
base_provider = 'openai',
|
||||
best_provider = Aivvm)
|
||||
|
||||
text_ada_001 = Model(
|
||||
name='text-ada-001',
|
||||
base_provider='openai',
|
||||
best_provider=Vercel)
|
||||
name = 'text-ada-001',
|
||||
base_provider = 'openai',
|
||||
best_provider = Vercel)
|
||||
|
||||
text_babbage_001 = Model(
|
||||
name='text-babbage-001',
|
||||
base_provider='openai',
|
||||
best_provider=Vercel)
|
||||
name = 'text-babbage-001',
|
||||
base_provider = 'openai',
|
||||
best_provider = Vercel)
|
||||
|
||||
text_curie_001 = Model(
|
||||
name='text-curie-001',
|
||||
base_provider='openai',
|
||||
best_provider=Vercel)
|
||||
name = 'text-curie-001',
|
||||
base_provider = 'openai',
|
||||
best_provider = Vercel)
|
||||
|
||||
text_davinci_002 = Model(
|
||||
name='text-davinci-002',
|
||||
base_provider='openai',
|
||||
best_provider=Vercel)
|
||||
name = 'text-davinci-002',
|
||||
base_provider = 'openai',
|
||||
best_provider = Vercel)
|
||||
|
||||
text_davinci_003 = Model(
|
||||
name='text-davinci-003',
|
||||
base_provider='openai',
|
||||
best_provider=Vercel)
|
||||
name = '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)
|
||||
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)
|
||||
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-3.5-turbo-16k': gpt_35_turbo_16k,
|
||||
'gpt-3.5-turbo-16k-0613': gpt_35_turbo_16k_0613,
|
||||
'gpt-4': gpt_4,
|
||||
'gpt-4-0613': gpt_4_0613,
|
||||
'gpt-4-32k': gpt_4_32k,
|
||||
'gpt-4-32k-0613': gpt_4_32k_0613,
|
||||
# gpt-3.5
|
||||
'gpt-3.5-turbo' : gpt_35_turbo,
|
||||
'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,
|
||||
'gpt-4-0613' : gpt_4_0613,
|
||||
'gpt-4-32k' : gpt_4_32k,
|
||||
'gpt-4-32k-0613' : gpt_4_32k_0613,
|
||||
|
||||
# Bard
|
||||
'palm2': palm,
|
||||
'palm': palm,
|
||||
'google': palm,
|
||||
'google-bard': palm,
|
||||
'google-palm': palm,
|
||||
'bard': palm,
|
||||
'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,
|
||||
'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,
|
||||
'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,
|
||||
'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,
|
||||
'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,
|
||||
'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,
|
||||
}
|
Loading…
Reference in New Issue