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-rw-r--r--g4f/models.py381
1 files changed, 274 insertions, 107 deletions
diff --git a/g4f/models.py b/g4f/models.py
index 78e1d74e..e9016561 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -4,30 +4,34 @@ from dataclasses import dataclass
from .Provider import IterListProvider, ProviderType
from .Provider import (
- Aichatos,
- Bing,
- Blackbox,
- ChatgptAi,
- ChatgptNext,
- Cnote,
- DeepInfra,
- Feedough,
- FreeGpt,
- Gemini,
- GeminiPro,
- GigaChat,
- HuggingChat,
- HuggingFace,
- Koala,
- Liaobots,
- MetaAI,
- OpenaiChat,
- PerplexityLabs,
- Replicate,
- Pi,
- Vercel,
- You,
- Reka
+ AI365VIP,
+ Bing,
+ Blackbox,
+ Chatgpt4o,
+ ChatgptFree,
+ DDG,
+ DeepInfra,
+ DeepInfraImage,
+ FreeChatgpt,
+ FreeGpt,
+ Gemini,
+ GeminiPro,
+ GeminiProChat,
+ GigaChat,
+ HuggingChat,
+ HuggingFace,
+ Koala,
+ Liaobots,
+ MetaAI,
+ OpenaiChat,
+ PerplexityLabs,
+ Pi,
+ Pizzagpt,
+ Reka,
+ Replicate,
+ ReplicateHome,
+ Vercel,
+ You,
)
@dataclass(unsafe_hash=True)
@@ -54,9 +58,15 @@ default = Model(
base_provider = "",
best_provider = IterListProvider([
Bing,
- ChatgptAi,
You,
OpenaiChat,
+ FreeChatgpt,
+ AI365VIP,
+ Chatgpt4o,
+ DDG,
+ ChatgptFree,
+ Koala,
+ Pizzagpt,
])
)
@@ -67,28 +77,58 @@ gpt_35_long = Model(
best_provider = IterListProvider([
FreeGpt,
You,
- ChatgptNext,
OpenaiChat,
Koala,
+ ChatgptFree,
+ FreeChatgpt,
+ DDG,
+ AI365VIP,
+ Pizzagpt,
])
)
-# 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,
+ DDG,
+ AI365VIP,
+ Pizzagpt,
])
)
+gpt_35_turbo_16k = Model(
+ name = 'gpt-3.5-turbo-16k',
+ base_provider = 'openai',
+ best_provider = gpt_35_long.best_provider
+)
+
+gpt_35_turbo_16k_0613 = Model(
+ name = 'gpt-3.5-turbo-16k-0613',
+ base_provider = 'openai',
+ best_provider = gpt_35_long.best_provider
+)
+
+gpt_35_turbo_0613 = Model(
+ name = 'gpt-3.5-turbo-0613',
+ base_provider = 'openai',
+ best_provider = gpt_35_turbo.best_provider
+)
+
+# gpt-4
gpt_4 = Model(
name = 'gpt-4',
base_provider = 'openai',
@@ -97,12 +137,22 @@ gpt_4 = Model(
])
)
-gpt_4o = Model(
- name = 'gpt-4o',
+gpt_4_0613 = Model(
+ name = 'gpt-4-0613',
base_provider = 'openai',
- best_provider = IterListProvider([
- You, Liaobots
- ])
+ best_provider = gpt_4.best_provider
+)
+
+gpt_4_32k = Model(
+ name = 'gpt-4-32k',
+ base_provider = 'openai',
+ best_provider = gpt_4.best_provider
+)
+
+gpt_4_32k_0613 = Model(
+ name = 'gpt-4-32k-0613',
+ base_provider = 'openai',
+ best_provider = gpt_4.best_provider
)
gpt_4_turbo = Model(
@@ -111,18 +161,36 @@ gpt_4_turbo = Model(
best_provider = Bing
)
+gpt_4o = Model(
+ name = 'gpt-4o',
+ base_provider = 'openai',
+ best_provider = IterListProvider([
+ You, Liaobots, Chatgpt4o, AI365VIP
+ ])
+)
+
+
+### GigaChat ###
gigachat = Model(
name = 'GigaChat:latest',
base_provider = 'gigachat',
best_provider = GigaChat
)
+
+### Meta ###
meta = Model(
name = "meta",
base_provider = "meta",
best_provider = MetaAI
)
+llama_2_70b_chat = Model(
+ name = "meta/llama-2-70b-chat",
+ base_provider = "meta",
+ best_provider = IterListProvider([ReplicateHome])
+)
+
llama3_8b_instruct = Model(
name = "meta-llama/Meta-Llama-3-8B-Instruct",
base_provider = "meta",
@@ -132,7 +200,7 @@ llama3_8b_instruct = Model(
llama3_70b_instruct = Model(
name = "meta-llama/Meta-Llama-3-70B-Instruct",
base_provider = "meta",
- best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
+ best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate, HuggingChat, DDG])
)
codellama_34b_instruct = Model(
@@ -144,35 +212,77 @@ codellama_34b_instruct = Model(
codellama_70b_instruct = Model(
name = "codellama/CodeLlama-70b-Instruct-hf",
base_provider = "meta",
- best_provider = IterListProvider([DeepInfra, PerplexityLabs])
+ best_provider = IterListProvider([DeepInfra])
)
-# Mistral
+
+### Mistral ###
mixtral_8x7b = Model(
name = "mistralai/Mixtral-8x7B-Instruct-v0.1",
base_provider = "huggingface",
- best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs])
-)
-
-mistral_7b = Model(
- name = "mistralai/Mistral-7B-Instruct-v0.1",
- base_provider = "huggingface",
- best_provider = IterListProvider([HuggingChat, HuggingFace, PerplexityLabs])
+ best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs, HuggingChat, DDG])
)
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, ReplicateHome])
+)
+
+
+### NousResearch ###
+Nous_Hermes_2_Mixtral_8x7B_DPO = Model(
+ name = "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+ base_provider = "NousResearch",
+ best_provider = IterListProvider([HuggingFace, HuggingChat])
+)
+
+
+### 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])
)
-# Bard
+
+### Google ###
+# gemini
gemini = Model(
name = 'gemini',
- base_provider = 'google',
+ base_provider = 'Google',
best_provider = Gemini
)
+gemini_pro = Model(
+ name = 'gemini-pro',
+ base_provider = 'Google',
+ best_provider = IterListProvider([GeminiPro, You, GeminiProChat])
+)
+
+# gemma
+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_v2 = Model(
name = 'claude-v2',
base_provider = 'anthropic',
@@ -194,79 +304,76 @@ claude_3_sonnet = Model(
claude_3_haiku = Model(
name = 'claude-3-haiku',
base_provider = 'anthropic',
- best_provider = None
+ best_provider = IterListProvider([DDG, AI365VIP])
)
-gpt_35_turbo_16k = Model(
- name = 'gpt-3.5-turbo-16k',
- base_provider = 'openai',
- best_provider = gpt_35_long.best_provider
-)
-gpt_35_turbo_16k_0613 = Model(
- name = 'gpt-3.5-turbo-16k-0613',
- base_provider = 'openai',
- best_provider = gpt_35_long.best_provider
+### Reka AI ###
+reka_core = Model(
+ name = 'reka-core',
+ base_provider = 'Reka AI',
+ best_provider = Reka
)
-gpt_35_turbo_0613 = Model(
- name = 'gpt-3.5-turbo-0613',
- base_provider = 'openai',
- best_provider = gpt_35_turbo.best_provider
-)
-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])
)
+
+### 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])
-)
-command_r_plus = Model(
- name = 'CohereForAI/c4ai-command-r-plus',
- base_provider = 'mistral',
- best_provider = IterListProvider([HuggingChat])
-)
+#############
+### Image ###
+#############
-blackbox = Model(
- name = 'blackbox',
- base_provider = 'blackbox',
- best_provider = Blackbox
+### Stability AI ###
+sdxl = Model(
+ name = 'stability-ai/sdxl',
+ base_provider = 'Stability AI',
+ best_provider = IterListProvider([ReplicateHome, DeepInfraImage])
+
)
-reka_core = Model(
- name = 'reka-core',
- base_provider = 'Reka AI',
- best_provider = Reka
+### AI Forever ###
+kandinsky_2_2 = Model(
+ name = 'ai-forever/kandinsky-2.2',
+ base_provider = 'AI Forever',
+ best_provider = IterListProvider([ReplicateHome])
+
)
class ModelUtils:
@@ -277,6 +384,13 @@ 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,
@@ -291,8 +405,12 @@ class ModelUtils:
'gpt-4-32k' : gpt_4_32k,
'gpt-4-32k-0613' : gpt_4_32k_0613,
'gpt-4-turbo' : gpt_4_turbo,
-
+
+
+ ### Meta ###
"meta-ai": meta,
+
+ 'llama-2-70b-chat': llama_2_70b_chat,
'llama3-8b': llama3_8b_instruct, # alias
'llama3-70b': llama3_70b_instruct, # alias
'llama3-8b-instruct' : llama3_8b_instruct,
@@ -301,30 +419,79 @@ class ModelUtils:
'codellama-34b-instruct': codellama_34b_instruct,
'codellama-70b-instruct': codellama_70b_instruct,
- # Mistral Opensource
+
+ ### Mistral (Opensource) ###
'mixtral-8x7b': mixtral_8x7b,
- 'mistral-7b': mistral_7b,
'mistral-7b-v02': mistral_7b_v02,
+
+
+ ### NousResearch ###
+ 'Nous-Hermes-2-Mixtral-8x7B-DPO': Nous_Hermes_2_Mixtral_8x7B_DPO,
- # google gemini
+
+ ### 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,
+
+ # gemma
+ 'gemma-2-9b-it': gemma_2_9b_it,
+ 'gemma-2-27b-it': gemma_2_27b_it,
+
- # anthropic
+ ### Anthropic ###
'claude-v2': claude_v2,
'claude-3-opus': claude_3_opus,
'claude-3-sonnet': claude_3_sonnet,
'claude-3-haiku': claude_3_haiku,
- # reka core
+
+ ### Reka AI ###
'reka': reka_core,
- # other
- 'blackbox': blackbox,
+
+ ### 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
+
+
+ # Other
+ 'pi': pi,
+
+
+
+ #############
+ ### Image ###
+ #############
+
+ ### Stability AI ###
+ 'sdxl': sdxl,
+
+ ### AI Forever ###
+ 'kandinsky-2.2': kandinsky_2_2,
}
_all_models = list(ModelUtils.convert.keys())
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-06 03:31:37 +0100