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-rw-r--r--g4f/models.py284
1 files changed, 140 insertions, 144 deletions
diff --git a/g4f/models.py b/g4f/models.py
index 62d5650f..22311910 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -1,228 +1,224 @@
-from __future__ import annotations
+from __future__ import annotations
from dataclasses import dataclass
-from .typing import Union
-from .Provider import BaseProvider
-from .Provider import (
+from .typing import Union
+from .Provider import BaseProvider
+from .Provider import (
ChatgptLogin,
CodeLinkAva,
- ChatgptAi,
- ChatBase,
- Vercel,
- DeepAi,
- Aivvm,
- Bard,
- H2o,
- Yqcloud
+ ChatgptAi,
+ ChatBase,
+ Vercel,
+ DeepAi,
+ Aivvm,
+ Bard,
+ H2o
)
-
@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")
+ name = "",
+ base_provider = "huggingface")
# GPT-3.5 / GPT-4
gpt_35_turbo = Model(
- name='gpt-3.5-turbo',
- base_provider='openai',
- best_provider=[
- DeepAi, CodeLinkAva, ChatgptLogin, ChatgptAi, ChatBase, Aivvm, Yqcloud
+ name = 'gpt-3.5-turbo',
+ base_provider = 'openai',
+ best_provider = [
+ DeepAi, CodeLinkAva, ChatgptLogin, ChatgptAi, ChatBase, Aivvm
]
)
gpt_4 = Model(
- name='gpt-4',
- base_provider='openai')
+ name = 'gpt-4',
+ base_provider = 'openai')
# 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='anthropic:claude-instant-v1',
- base_provider='anthropic',
- best_provider=Vercel)
+ name = 'anthropic:claude-instant-v1',
+ base_provider = 'anthropic',
+ best_provider = Vercel)
claude_v1 = Model(
- name='anthropic:claude-v1',
- base_provider='anthropic',
- best_provider=Vercel)
+ name = 'anthropic:claude-v1',
+ base_provider = 'anthropic',
+ best_provider = Vercel)
claude_v2 = Model(
- name='anthropic:claude-v2',
- base_provider='anthropic',
- best_provider=Vercel)
+ 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)
+ name = 'cohere:command-light-nightly',
+ base_provider = 'cohere',
+ best_provider = Vercel)
command_nightly = Model(
- name='cohere:command-nightly',
- base_provider='cohere',
- best_provider=Vercel)
+ 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)
+ 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)
+ 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)
+ 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)
+ name = 'huggingface:bigcode/santacoder',
+ base_provider = 'huggingface',
+ best_provider = Vercel)
bloom = Model(
- name='huggingface:bigscience/bloom',
- base_provider='huggingface',
- best_provider=Vercel)
+ 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)
+ 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)
+ 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_0613 = Model(
- name='openai:gpt-3.5-turbo-0613',
- base_provider='openai',
- best_provider=[
- Yqcloud, Aivvm, ChatgptLogin])
+ 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')
+ name = 'openai:gpt-3.5-turbo-16k-0613',
+ base_provider = 'openai')
+
+gpt_35_turbo_0613 = Model(
+ name = 'openai:gpt-3.5-turbo-0613',
+ base_provider = 'openai',
+ best_provider = [
+ Aivvm, ChatgptLogin])
gpt_4_0613 = Model(
- name='openai:gpt-4-0613',
- base_provider='openai',
- best_provider=Vercel)
+ 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)
+ 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)
+ 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)
+ 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)
+ 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)
+ 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)
+ 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-4': 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,
-
+ '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,
- '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,
- 'gpt-3.5-turbo-0613': gpt_35_turbo_0613,
- }
+ '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,
+ } \ No newline at end of file
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-01 22:10:54 +0100