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-rw-r--r--g4f/models.py523
1 files changed, 402 insertions, 121 deletions
diff --git a/g4f/models.py b/g4f/models.py
index 78e1d74e..b6c5fd14 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -4,32 +4,45 @@ from dataclasses import dataclass
from .Provider import IterListProvider, ProviderType
from .Provider import (
- Aichatos,
+ AI365VIP,
+ Allyfy,
Bing,
Blackbox,
- ChatgptAi,
- ChatgptNext,
- Cnote,
+ ChatGot,
+ Chatgpt4o,
+ Chatgpt4Online,
+ ChatgptFree,
+ DDG,
DeepInfra,
- Feedough,
+ DeepInfraImage,
+ FreeChatgpt,
FreeGpt,
+ FreeNetfly,
Gemini,
GeminiPro,
+ GeminiProChat,
GigaChat,
HuggingChat,
HuggingFace,
Koala,
Liaobots,
+ LiteIcoding,
+ MagickPenAsk,
+ MagickPenChat,
+ Marsyoo,
MetaAI,
OpenaiChat,
PerplexityLabs,
- Replicate,
Pi,
- Vercel,
+ Pizzagpt,
+ Reka,
+ Replicate,
+ ReplicateHome,
+ TeachAnything,
You,
- Reka
)
+
@dataclass(unsafe_hash=True)
class Model:
"""
@@ -54,9 +67,15 @@ default = Model(
base_provider = "",
best_provider = IterListProvider([
Bing,
- ChatgptAi,
You,
OpenaiChat,
+ FreeChatgpt,
+ AI365VIP,
+ Chatgpt4o,
+ DDG,
+ ChatgptFree,
+ Koala,
+ Pizzagpt,
])
)
@@ -67,206 +86,394 @@ gpt_35_long = Model(
best_provider = IterListProvider([
FreeGpt,
You,
- ChatgptNext,
- OpenaiChat,
Koala,
+ ChatgptFree,
+ FreeChatgpt,
+ DDG,
+ AI365VIP,
+ Pizzagpt,
+ Allyfy,
])
)
-# GPT-3.5 / GPT-4
+############
+### Text ###
+############
+
+### OpenAI ###
+### GPT-3.5 / GPT-4 ###
+# gpt-3.5
gpt_35_turbo = Model(
name = 'gpt-3.5-turbo',
base_provider = 'openai',
best_provider = IterListProvider([
FreeGpt,
You,
- ChatgptNext,
Koala,
- OpenaiChat,
- Aichatos,
- Cnote,
- Feedough,
+ ChatgptFree,
+ FreeChatgpt,
+ AI365VIP,
+ Pizzagpt,
+ Allyfy,
])
)
+# gpt-4
gpt_4 = Model(
name = 'gpt-4',
base_provider = 'openai',
best_provider = IterListProvider([
- Bing, Liaobots,
+ Bing, Chatgpt4Online
])
)
+gpt_4_turbo = Model(
+ name = 'gpt-4-turbo',
+ base_provider = 'openai',
+ best_provider = IterListProvider([
+ Bing, Liaobots, LiteIcoding
+ ])
+)
gpt_4o = Model(
name = 'gpt-4o',
base_provider = 'openai',
best_provider = IterListProvider([
- You, Liaobots
+ You, Liaobots, Chatgpt4o, AI365VIP, OpenaiChat, Marsyoo, LiteIcoding, MagickPenAsk,
])
)
-gpt_4_turbo = Model(
- name = 'gpt-4-turbo',
+gpt_4o_mini = Model(
+ name = 'gpt-4o-mini',
base_provider = 'openai',
- best_provider = Bing
+ best_provider = IterListProvider([
+ DDG, Liaobots, OpenaiChat, You, FreeNetfly, MagickPenChat,
+ ])
)
+
+### GigaChat ###
gigachat = Model(
name = 'GigaChat:latest',
base_provider = 'gigachat',
best_provider = GigaChat
)
+
+### Meta ###
meta = Model(
name = "meta",
base_provider = "meta",
best_provider = MetaAI
)
-llama3_8b_instruct = Model(
+llama_3_8b_instruct = Model(
name = "meta-llama/Meta-Llama-3-8B-Instruct",
base_provider = "meta",
best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
)
-llama3_70b_instruct = Model(
+llama_3_70b_instruct = Model(
name = "meta-llama/Meta-Llama-3-70B-Instruct",
base_provider = "meta",
best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
)
-codellama_34b_instruct = Model(
- name = "codellama/CodeLlama-34b-Instruct-hf",
+llama_3_70b_instruct = Model(
+ name = "meta/meta-llama-3-70b-instruct",
base_provider = "meta",
- best_provider = HuggingChat
+ best_provider = IterListProvider([ReplicateHome, TeachAnything])
)
-codellama_70b_instruct = Model(
- name = "codellama/CodeLlama-70b-Instruct-hf",
+llama_3_70b_chat_hf = Model(
+ name = "meta-llama/Llama-3-70b-chat-hf",
base_provider = "meta",
- best_provider = IterListProvider([DeepInfra, PerplexityLabs])
+ best_provider = IterListProvider([DDG])
)
-# Mistral
-mixtral_8x7b = Model(
- name = "mistralai/Mixtral-8x7B-Instruct-v0.1",
- base_provider = "huggingface",
- best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs])
+llama_3_1_70b_instruct = Model(
+ name = "meta-llama/Meta-Llama-3.1-70B-Instruct",
+ base_provider = "meta",
+ best_provider = IterListProvider([HuggingChat, HuggingFace])
+)
+
+llama_3_1_405b_instruct_FP8 = Model(
+ name = "meta-llama/Meta-Llama-3.1-405B-Instruct-FP8",
+ base_provider = "meta",
+ best_provider = IterListProvider([HuggingChat, HuggingFace])
)
-mistral_7b = Model(
- name = "mistralai/Mistral-7B-Instruct-v0.1",
+
+### Mistral ###
+mixtral_8x7b = Model(
+ name = "mistralai/Mixtral-8x7B-Instruct-v0.1",
base_provider = "huggingface",
- best_provider = IterListProvider([HuggingChat, HuggingFace, PerplexityLabs])
+ best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs, HuggingChat, DDG, ReplicateHome])
)
mistral_7b_v02 = Model(
name = "mistralai/Mistral-7B-Instruct-v0.2",
base_provider = "huggingface",
- best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs])
+ best_provider = IterListProvider([DeepInfra, HuggingFace, HuggingChat])
+)
+
+
+### NousResearch ###
+Nous_Hermes_2_Mixtral_8x7B_DPO = Model(
+ name = "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+ base_provider = "NousResearch",
+ best_provider = IterListProvider([HuggingFace, HuggingChat])
)
-# Bard
+
+### 01-ai ###
+Yi_1_5_34B_chat = Model(
+ name = "01-ai/Yi-1.5-34B-Chat",
+ base_provider = "01-ai",
+ best_provider = IterListProvider([HuggingFace, HuggingChat])
+)
+
+
+### Microsoft ###
+Phi_3_mini_4k_instruct = Model(
+ name = "microsoft/Phi-3-mini-4k-instruct",
+ base_provider = "Microsoft",
+ best_provider = IterListProvider([HuggingFace, HuggingChat])
+)
+
+
+### Google ###
+# gemini
gemini = Model(
name = 'gemini',
- base_provider = 'google',
+ base_provider = 'Google',
best_provider = Gemini
)
-claude_v2 = Model(
- name = 'claude-v2',
- base_provider = 'anthropic',
- best_provider = IterListProvider([Vercel])
+gemini_pro = Model(
+ name = 'gemini-pro',
+ base_provider = 'Google',
+ best_provider = IterListProvider([GeminiPro, You, ChatGot, GeminiProChat, Liaobots, LiteIcoding])
+)
+
+gemini_flash = Model(
+ name = 'gemini-flash',
+ base_provider = 'Google',
+ best_provider = IterListProvider([Liaobots])
+)
+
+gemini_1_5 = Model(
+ name = 'gemini-1.5',
+ base_provider = 'Google',
+ best_provider = IterListProvider([LiteIcoding])
+)
+
+# gemma
+gemma_2b_it = Model(
+ name = 'gemma-2b-it',
+ base_provider = 'Google',
+ best_provider = IterListProvider([ReplicateHome])
+)
+
+gemma_2_9b_it = Model(
+ name = 'gemma-2-9b-it',
+ base_provider = 'Google',
+ best_provider = IterListProvider([PerplexityLabs])
+)
+
+gemma_2_27b_it = Model(
+ name = 'gemma-2-27b-it',
+ base_provider = 'Google',
+ best_provider = IterListProvider([PerplexityLabs])
+)
+
+
+### Anthropic ###
+claude_2 = Model(
+ name = 'claude-2',
+ base_provider = 'Anthropic',
+ best_provider = IterListProvider([You])
+)
+
+claude_2_0 = Model(
+ name = 'claude-2.0',
+ base_provider = 'Anthropic',
+ best_provider = IterListProvider([Liaobots])
+)
+
+claude_2_1 = Model(
+ name = 'claude-2.1',
+ base_provider = 'Anthropic',
+ best_provider = IterListProvider([Liaobots])
)
claude_3_opus = Model(
name = 'claude-3-opus',
- base_provider = 'anthropic',
- best_provider = You
+ base_provider = 'Anthropic',
+ best_provider = IterListProvider([You, Liaobots])
)
claude_3_sonnet = Model(
name = 'claude-3-sonnet',
- base_provider = 'anthropic',
- best_provider = You
+ base_provider = 'Anthropic',
+ best_provider = IterListProvider([You, Liaobots])
+)
+
+claude_3_5_sonnet = Model(
+ name = 'claude-3-5-sonnet',
+ base_provider = 'Anthropic',
+ best_provider = IterListProvider([Liaobots])
)
claude_3_haiku = Model(
name = 'claude-3-haiku',
- base_provider = 'anthropic',
- best_provider = None
+ base_provider = 'Anthropic',
+ best_provider = IterListProvider([DDG, AI365VIP, Liaobots])
)
-gpt_35_turbo_16k = Model(
- name = 'gpt-3.5-turbo-16k',
- base_provider = 'openai',
- best_provider = gpt_35_long.best_provider
+claude_3 = Model(
+ name = 'claude-3',
+ base_provider = 'Anthropic',
+ best_provider = IterListProvider([LiteIcoding])
)
-gpt_35_turbo_16k_0613 = Model(
- name = 'gpt-3.5-turbo-16k-0613',
- base_provider = 'openai',
- best_provider = gpt_35_long.best_provider
+claude_3_5 = Model(
+ name = 'claude-3.5',
+ base_provider = 'Anthropic',
+ best_provider = IterListProvider([LiteIcoding])
)
-gpt_35_turbo_0613 = Model(
- name = 'gpt-3.5-turbo-0613',
- base_provider = 'openai',
- best_provider = gpt_35_turbo.best_provider
+
+### Reka AI ###
+reka_core = Model(
+ name = 'reka-core',
+ base_provider = 'Reka AI',
+ best_provider = Reka
)
-gpt_4_0613 = Model(
- name = 'gpt-4-0613',
- base_provider = 'openai',
- best_provider = gpt_4.best_provider
+
+### NVIDIA ###
+nemotron_4_340b_instruct = Model(
+ name = 'nemotron-4-340b-instruct',
+ base_provider = 'NVIDIA',
+ best_provider = IterListProvider([PerplexityLabs])
)
-gpt_4_32k = Model(
- name = 'gpt-4-32k',
- base_provider = 'openai',
- best_provider = gpt_4.best_provider
+
+### Blackbox ###
+blackbox = Model(
+ name = 'blackbox',
+ base_provider = 'Blackbox',
+ best_provider = Blackbox
)
-gpt_4_32k_0613 = Model(
- name = 'gpt-4-32k-0613',
- base_provider = 'openai',
- best_provider = gpt_4.best_provider
+
+### Databricks ###
+dbrx_instruct = Model(
+ name = 'databricks/dbrx-instruct',
+ base_provider = 'Databricks',
+ best_provider = IterListProvider([DeepInfra])
)
-gemini_pro = Model(
- name = 'gemini-pro',
- base_provider = 'google',
- best_provider = IterListProvider([GeminiPro, You])
+
+### CohereForAI ###
+command_r_plus = Model(
+ name = 'CohereForAI/c4ai-command-r-plus',
+ base_provider = 'CohereForAI',
+ best_provider = IterListProvider([HuggingChat])
+)
+
+
+### iFlytek ###
+SparkDesk_v1_1 = Model(
+ name = 'SparkDesk-v1.1',
+ base_provider = 'iFlytek',
+ best_provider = IterListProvider([FreeChatgpt])
+)
+
+
+### DeepSeek ###
+deepseek_coder = Model(
+ name = 'deepseek-coder',
+ base_provider = 'DeepSeek',
+ best_provider = IterListProvider([FreeChatgpt])
)
+deepseek_chat = Model(
+ name = 'deepseek-chat',
+ base_provider = 'DeepSeek',
+ best_provider = IterListProvider([FreeChatgpt])
+)
+
+
+### Qwen ###
+Qwen2_7B_instruct = Model(
+ name = 'Qwen2-7B-Instruct',
+ base_provider = 'Qwen',
+ best_provider = IterListProvider([FreeChatgpt])
+)
+
+
+### Zhipu AI ###
+glm4_9B_chat = Model(
+ name = 'glm4-9B-chat',
+ base_provider = 'Zhipu AI',
+ best_provider = IterListProvider([FreeChatgpt])
+)
+
+chatglm3_6B = Model(
+ name = 'chatglm3-6B',
+ base_provider = 'Zhipu AI',
+ best_provider = IterListProvider([FreeChatgpt])
+)
+
+
+### 01-ai ###
+Yi_1_5_9B_chat = Model(
+ name = 'Yi-1.5-9B-Chat',
+ base_provider = '01-ai',
+ best_provider = IterListProvider([FreeChatgpt])
+)
+
+
+### Other ###
pi = Model(
name = 'pi',
base_provider = 'inflection',
best_provider = Pi
)
-dbrx_instruct = Model(
- name = 'databricks/dbrx-instruct',
- base_provider = 'mistral',
- best_provider = IterListProvider([DeepInfra, PerplexityLabs])
+
+#############
+### Image ###
+#############
+
+### Stability AI ###
+sdxl = Model(
+ name = 'stability-ai/sdxl',
+ base_provider = 'Stability AI',
+ best_provider = IterListProvider([DeepInfraImage])
+
)
-command_r_plus = Model(
- name = 'CohereForAI/c4ai-command-r-plus',
- base_provider = 'mistral',
- best_provider = IterListProvider([HuggingChat])
+stable_diffusion_3 = Model(
+ name = 'stability-ai/stable-diffusion-3',
+ base_provider = 'Stability AI',
+ best_provider = IterListProvider([ReplicateHome])
+
)
-blackbox = Model(
- name = 'blackbox',
- base_provider = 'blackbox',
- best_provider = Blackbox
+sdxl_lightning_4step = Model(
+ name = 'bytedance/sdxl-lightning-4step',
+ base_provider = 'Stability AI',
+ best_provider = IterListProvider([ReplicateHome])
+
)
-reka_core = Model(
- name = 'reka-core',
- base_provider = 'Reka AI',
- best_provider = Reka
+playground_v2_5_1024px_aesthetic = Model(
+ name = 'playgroundai/playground-v2.5-1024px-aesthetic',
+ base_provider = 'Stability AI',
+ best_provider = IterListProvider([ReplicateHome])
+
)
class ModelUtils:
@@ -277,54 +484,128 @@ class ModelUtils:
convert (dict[str, Model]): Dictionary mapping model string identifiers to Model instances.
"""
convert: dict[str, Model] = {
+
+ ############
+ ### Text ###
+ ############
+
+ ### OpenAI ###
+ ### GPT-3.5 / GPT-4 ###
# gpt-3.5
- '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-3.5-turbo': gpt_35_turbo,
'gpt-3.5-long': gpt_35_long,
# gpt-4
'gpt-4o' : gpt_4o,
+ 'gpt-4o-mini' : gpt_4o_mini,
'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-4-turbo' : gpt_4_turbo,
-
+
+ ### Meta ###
"meta-ai": meta,
- 'llama3-8b': llama3_8b_instruct, # alias
- 'llama3-70b': llama3_70b_instruct, # alias
- 'llama3-8b-instruct' : llama3_8b_instruct,
- 'llama3-70b-instruct': llama3_70b_instruct,
-
- 'codellama-34b-instruct': codellama_34b_instruct,
- 'codellama-70b-instruct': codellama_70b_instruct,
-
- # Mistral Opensource
+
+ 'llama-3-8b-instruct': llama_3_8b_instruct,
+ 'llama-3-70b-instruct': llama_3_70b_instruct,
+ 'llama-3-70b-chat': llama_3_70b_chat_hf,
+ 'llama-3-70b-instruct': llama_3_70b_instruct,
+
+ 'llama-3.1-70b': llama_3_1_70b_instruct,
+ 'llama-3.1-405b': llama_3_1_405b_instruct_FP8,
+ 'llama-3.1-70b-instruct': llama_3_1_70b_instruct,
+ 'llama-3.1-405b-instruct': llama_3_1_405b_instruct_FP8,
+
+ ### Mistral (Opensource) ###
'mixtral-8x7b': mixtral_8x7b,
- 'mistral-7b': mistral_7b,
'mistral-7b-v02': mistral_7b_v02,
-
- # google gemini
+
+ ### NousResearch ###
+ 'Nous-Hermes-2-Mixtral-8x7B-DPO': Nous_Hermes_2_Mixtral_8x7B_DPO,
+
+ ### 01-ai ###
+ 'Yi-1.5-34b-chat': Yi_1_5_34B_chat,
+
+ ### Microsoft ###
+ 'Phi-3-mini-4k-instruct': Phi_3_mini_4k_instruct,
+
+ ### Google ###
+ # gemini
'gemini': gemini,
'gemini-pro': gemini_pro,
-
- # anthropic
- 'claude-v2': claude_v2,
+ 'gemini-pro': gemini_1_5,
+ 'gemini-flash': gemini_flash,
+
+ # gemma
+ 'gemma-2b': gemma_2b_it,
+ 'gemma-2-9b': gemma_2_9b_it,
+ 'gemma-2-27b': gemma_2_27b_it,
+
+ ### Anthropic ###
+ 'claude-2': claude_2,
+ 'claude-2.0': claude_2_0,
+ 'claude-2.1': claude_2_1,
+
'claude-3-opus': claude_3_opus,
'claude-3-sonnet': claude_3_sonnet,
+ 'claude-3-5-sonnet': claude_3_5_sonnet,
'claude-3-haiku': claude_3_haiku,
+
+ 'claude-3-opus': claude_3,
+ 'claude-3-5-sonnet': claude_3_5,
+
+
- # reka core
+ ### Reka AI ###
'reka': reka_core,
- # other
+ ### NVIDIA ###
+ 'nemotron-4-340b-instruct': nemotron_4_340b_instruct,
+
+ ### Blackbox ###
'blackbox': blackbox,
+
+ ### CohereForAI ###
'command-r+': command_r_plus,
+
+ ### Databricks ###
'dbrx-instruct': dbrx_instruct,
+
+ ### GigaChat ###
'gigachat': gigachat,
- 'pi': pi
+
+ ### iFlytek ###
+ 'SparkDesk-v1.1': SparkDesk_v1_1,
+
+ ### DeepSeek ###
+ 'deepseek-coder': deepseek_coder,
+ 'deepseek-chat': deepseek_chat,
+
+ ### Qwen ###
+ 'Qwen2-7b-instruct': Qwen2_7B_instruct,
+
+ ### Zhipu AI ###
+ 'glm4-9b-chat': glm4_9B_chat,
+ 'chatglm3-6b': chatglm3_6B,
+
+ ### 01-ai ###
+ 'Yi-1.5-9b-chat': Yi_1_5_9B_chat,
+
+ # Other
+ 'pi': pi,
+
+ #############
+ ### Image ###
+ #############
+
+ ### Stability AI ###
+ 'sdxl': sdxl,
+ 'stable-diffusion-3': stable_diffusion_3,
+
+ ### ByteDance ###
+ 'sdxl-lightning': sdxl_lightning_4step,
+
+ ### Playground ###
+ 'playground-v2.5': playground_v2_5_1024px_aesthetic,
+
}
_all_models = list(ModelUtils.convert.keys())
generated by cgit v1.2.3 (git 2.25.1) at 2024-08-21 16:38:40 +0200