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-rw-r--r--g4f/models.py243
1 files changed, 184 insertions, 59 deletions
diff --git a/g4f/models.py b/g4f/models.py
index ddbeeddf..877f6d42 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -5,6 +5,7 @@ from dataclasses import dataclass
from .Provider import IterListProvider, ProviderType
from .Provider import (
AiChatOnline,
+ Airforce,
Allyfy,
Bing,
Binjie,
@@ -18,7 +19,6 @@ from .Provider import (
DDG,
DeepInfra,
DeepInfraImage,
- FluxAirforce,
Free2GPT,
FreeChatgpt,
FreeGpt,
@@ -105,7 +105,7 @@ gpt_35_turbo = Model(
name = 'gpt-3.5-turbo',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- Allyfy, TwitterBio, Nexra, Bixin123, CodeNews,
+ Allyfy, TwitterBio, Nexra, Bixin123, CodeNews, Airforce,
])
)
@@ -114,7 +114,8 @@ gpt_4o = Model(
name = 'gpt-4o',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- Liaobots, Chatgpt4o, OpenaiChat,
+ Liaobots, Chatgpt4o, Airforce,
+ OpenaiChat,
])
)
@@ -122,8 +123,8 @@ gpt_4o_mini = Model(
name = 'gpt-4o-mini',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- DDG, Liaobots, You, FreeNetfly, Pizzagpt, ChatgptFree, AiChatOnline, CodeNews,
- MagickPen, OpenaiChat, Koala,
+ DDG, Liaobots, You, FreeNetfly, Pizzagpt, ChatgptFree, AiChatOnline, CodeNews, MagickPen, Airforce,
+ OpenaiChat, Koala,
])
)
@@ -131,7 +132,7 @@ gpt_4_turbo = Model(
name = 'gpt-4-turbo',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- Nexra, Bixin123, Liaobots, Bing
+ Nexra, Bixin123, Liaobots, Airforce, Bing
])
)
@@ -139,7 +140,7 @@ gpt_4 = Model(
name = 'gpt-4',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- Chatgpt4Online, Nexra, Binjie, Bing,
+ Chatgpt4Online, Nexra, Binjie, Airforce, Bing,
gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider
])
)
@@ -159,54 +160,74 @@ meta = Model(
best_provider = MetaAI
)
+llama_2_13b = Model(
+ name = "llama-2-13b",
+ base_provider = "Meta",
+ best_provider = IterListProvider([Airforce])
+)
+
llama_3_8b = Model(
name = "llama-3-8b",
base_provider = "Meta",
- best_provider = IterListProvider([DeepInfra, Replicate])
+ best_provider = IterListProvider([Airforce, DeepInfra, Replicate])
)
llama_3_70b = Model(
name = "llama-3-70b",
base_provider = "Meta",
- best_provider = IterListProvider([ReplicateHome, DeepInfra, PerplexityLabs, Replicate])
+ best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate])
)
llama_3_1_8b = Model(
name = "llama-3.1-8b",
base_provider = "Meta",
- best_provider = IterListProvider([Blackbox])
+ best_provider = IterListProvider([Blackbox, Airforce, PerplexityLabs])
)
llama_3_1_70b = Model(
name = "llama-3.1-70b",
base_provider = "Meta",
- best_provider = IterListProvider([DDG, HuggingChat, FreeGpt, Blackbox, TeachAnything, Free2GPT, HuggingFace])
+ best_provider = IterListProvider([DDG, HuggingChat, FreeGpt, Blackbox, TeachAnything, Free2GPT, Airforce, HuggingFace, PerplexityLabs])
)
llama_3_1_405b = Model(
name = "llama-3.1-405b",
base_provider = "Meta",
- best_provider = IterListProvider([HuggingChat, Blackbox, HuggingFace])
+ best_provider = IterListProvider([Blackbox, Airforce])
)
+
### Mistral ###
+mistral_7b = Model(
+ name = "mistral-7b",
+ base_provider = "Mistral",
+ best_provider = IterListProvider([HuggingChat, Airforce, HuggingFace, DeepInfra])
+)
+
mixtral_8x7b = Model(
name = "mixtral-8x7b",
base_provider = "Mistral",
- best_provider = IterListProvider([HuggingChat, DDG, ReplicateHome, TwitterBio, DeepInfra, HuggingFace,])
+ best_provider = IterListProvider([HuggingChat, DDG, ReplicateHome, TwitterBio, Airforce, DeepInfra, HuggingFace])
)
-mistral_7b = Model(
- name = "mistral-7b",
+mixtral_8x22b = Model(
+ name = "mixtral-8x22b",
base_provider = "Mistral",
- best_provider = IterListProvider([HuggingChat, HuggingFace, DeepInfra])
+ best_provider = IterListProvider([Airforce])
)
-### 01-ai ###
-yi_1_5_34b = Model(
- name = "yi-1.5-34b",
- base_provider = "01-ai",
- best_provider = IterListProvider([HuggingChat, HuggingFace])
+
+### NousResearch ###
+mixtral_8x7b_dpo = Model(
+ name = "mixtral-8x7b-dpo",
+ base_provider = "NousResearch",
+ best_provider = IterListProvider([HuggingChat, Airforce, HuggingFace])
+)
+
+yi_34b = Model(
+ name = 'yi-34b',
+ base_provider = 'NousResearch',
+ best_provider = IterListProvider([Airforce])
)
@@ -214,35 +235,51 @@ yi_1_5_34b = Model(
phi_3_mini_4k = Model(
name = "phi-3-mini-4k",
base_provider = "Microsoft",
- best_provider = IterListProvider([HuggingFace, HuggingChat])
+ best_provider = IterListProvider([HuggingChat, HuggingFace])
)
### Google ###
# gemini
-gemini = Model(
- name = 'gemini',
- base_provider = 'Google',
- best_provider = Gemini
-)
-
gemini_pro = Model(
name = 'gemini-pro',
base_provider = 'Google',
- best_provider = IterListProvider([GeminiPro, ChatGot, Liaobots])
+ best_provider = IterListProvider([GeminiPro, ChatGot, Liaobots, Airforce])
)
gemini_flash = Model(
name = 'gemini-flash',
base_provider = 'Google',
- best_provider = IterListProvider([Liaobots, Blackbox])
+ best_provider = IterListProvider([Blackbox, Liaobots, Airforce])
+)
+
+gemini = Model(
+ name = 'gemini',
+ base_provider = 'Google',
+ best_provider = IterListProvider([
+ Gemini,
+ gemini_flash.best_provider, gemini_pro.best_provider
+ ])
)
+
# gemma
gemma_2b = Model(
name = 'gemma-2b',
base_provider = 'Google',
- best_provider = IterListProvider([ReplicateHome])
+ best_provider = IterListProvider([ReplicateHome, Airforce])
+)
+
+gemma_2b_9b = Model(
+ name = 'gemma-2b-9b',
+ base_provider = 'Google',
+ best_provider = IterListProvider([Airforce])
+)
+
+gemma_2b_27b = Model(
+ name = 'gemma-2b-27b',
+ base_provider = 'Google',
+ best_provider = IterListProvider([Airforce])
)
### Anthropic ###
@@ -309,7 +346,7 @@ blackbox = Model(
dbrx_instruct = Model(
name = 'dbrx-instruct',
base_provider = 'Databricks',
- best_provider = IterListProvider([DeepInfra])
+ best_provider = IterListProvider([Airforce, DeepInfra])
)
@@ -325,7 +362,7 @@ command_r_plus = Model(
sparkdesk_v1_1 = Model(
name = 'sparkdesk-v1.1',
base_provider = 'iFlytek',
- best_provider = IterListProvider([FreeChatgpt])
+ best_provider = IterListProvider([FreeChatgpt, Airforce])
)
### Qwen ###
@@ -335,6 +372,24 @@ qwen_1_5_14b = Model(
best_provider = IterListProvider([FreeChatgpt])
)
+qwen_1_5_72b = Model(
+ name = 'qwen-1.5-72b',
+ base_provider = 'Qwen',
+ best_provider = IterListProvider([Airforce])
+)
+
+qwen_1_5_110b = Model(
+ name = 'qwen-1.5-110b',
+ base_provider = 'Qwen',
+ best_provider = IterListProvider([Airforce])
+)
+
+qwen_2_72b = Model(
+ name = 'qwen-2-72b',
+ base_provider = 'Qwen',
+ best_provider = IterListProvider([Airforce])
+)
+
qwen_turbo = Model(
name = 'qwen-turbo',
base_provider = 'Qwen',
@@ -358,7 +413,10 @@ glm_4_9b = Model(
glm_4 = Model(
name = 'glm-4',
base_provider = 'Zhipu AI',
- best_provider = IterListProvider([CodeNews, glm_4_9b.best_provider,])
+ best_provider = IterListProvider([
+ CodeNews,
+ glm_3_6b.best_provider, glm_4_9b.best_provider
+ ])
)
### 01-ai ###
@@ -368,14 +426,20 @@ yi_1_5_9b = Model(
best_provider = IterListProvider([FreeChatgpt])
)
-
-### Pi ###
+### Upstage ###
solar_1_mini = Model(
name = 'solar-1-mini',
base_provider = 'Upstage',
best_provider = IterListProvider([Upstage])
)
+solar_10_7b = Model(
+ name = 'solar-10-7b',
+ base_provider = 'Upstage',
+ best_provider = Airforce
+)
+
+
### Pi ###
pi = Model(
name = 'pi',
@@ -404,21 +468,33 @@ westlake_7b_v2 = Model(
best_provider = Snova
)
-### CookinAI ###
-donutlm_v1 = Model(
- name = 'donutlm-v1',
- base_provider = 'CookinAI',
- best_provider = Snova
-)
-
### DeepSeek ###
deepseek = Model(
name = 'deepseek',
base_provider = 'DeepSeek',
- best_provider = CodeNews
+ best_provider = IterListProvider([CodeNews, Airforce])
+)
+
+### WizardLM ###
+wizardlm_2_8x22b = Model(
+ name = 'wizardlm-2-8x22b',
+ base_provider = 'WizardLM',
+ best_provider = Airforce
)
+### Together ###
+sh_n_7b = Model(
+ name = 'sh-n-7b',
+ base_provider = 'Together',
+ best_provider = Airforce
+)
+### Yorickvp ###
+llava_13b = Model(
+ name = 'llava-13b',
+ base_provider = 'Yorickvp',
+ best_provider = ReplicateHome
+)
#############
### Image ###
@@ -451,35 +527,49 @@ playground_v2_5 = Model(
flux = Model(
name = 'flux',
base_provider = 'Flux AI',
- best_provider = IterListProvider([FluxAirforce])
+ best_provider = IterListProvider([Airforce])
)
flux_realism = Model(
name = 'flux-realism',
base_provider = 'Flux AI',
- best_provider = IterListProvider([FluxAirforce])
+ best_provider = IterListProvider([Airforce])
)
flux_anime = Model(
name = 'flux-anime',
base_provider = 'Flux AI',
- best_provider = IterListProvider([FluxAirforce])
+ best_provider = IterListProvider([Airforce])
)
flux_3d = Model(
name = 'flux-3d',
base_provider = 'Flux AI',
- best_provider = IterListProvider([FluxAirforce])
+ best_provider = IterListProvider([Airforce])
)
flux_disney = Model(
name = 'flux-disney',
base_provider = 'Flux AI',
- best_provider = IterListProvider([FluxAirforce])
+ best_provider = IterListProvider([Airforce])
+
+)
+
+flux_pixel = Model(
+ name = 'flux-pixel',
+ base_provider = 'Flux AI',
+ best_provider = IterListProvider([Airforce])
+
+)
+
+flux_schnell = Model(
+ name = 'flux-schnell',
+ base_provider = 'Flux AI',
+ best_provider = IterListProvider([ReplicateHome])
)
@@ -491,6 +581,13 @@ dalle = Model(
)
+dalle_2 = Model(
+ name = 'dalle-2',
+ base_provider = '',
+ best_provider = IterListProvider([Nexra])
+
+)
+
dalle_mini = Model(
name = 'dalle-mini',
base_provider = '',
@@ -505,6 +602,13 @@ emi = Model(
)
+any_dark = Model(
+ name = 'any-dark',
+ base_provider = '',
+ best_provider = IterListProvider([Airforce])
+
+)
+
class ModelUtils:
"""
Utility class for mapping string identifiers to Model instances.
@@ -535,6 +639,9 @@ class ModelUtils:
### Meta ###
"meta-ai": meta,
+# llama-2
+'llama-2-13b': llama_2_13b,
+
# llama-3
'llama-3-8b': llama_3_8b,
'llama-3-70b': llama_3_70b,
@@ -543,15 +650,18 @@ class ModelUtils:
'llama-3.1-8b': llama_3_1_8b,
'llama-3.1-70b': llama_3_1_70b,
'llama-3.1-405b': llama_3_1_405b,
-
+
### Mistral ###
-'mixtral-8x7b': mixtral_8x7b,
'mistral-7b': mistral_7b,
-
-
-### 01-ai ###
-'yi-1.5-34b': yi_1_5_34b,
+'mixtral-8x7b': mixtral_8x7b,
+'mixtral-8x22b': mixtral_8x22b,
+
+
+### NousResearch ###
+'mixtral-8x7b-dpo': mixtral_8x7b_dpo,
+
+'yi-34b': yi_34b,
### Microsoft ###
@@ -566,6 +676,8 @@ class ModelUtils:
# gemma
'gemma-2b': gemma_2b,
+'gemma-2b-9b': gemma_2b_9b,
+'gemma-2b-27b': gemma_2b_27b,
### Anthropic ###
@@ -575,8 +687,8 @@ class ModelUtils:
'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-3-5-sonnet': claude_3_5_sonnet,
### Reka AI ###
@@ -605,6 +717,9 @@ class ModelUtils:
### Qwen ###
'qwen-1.5-14b': qwen_1_5_14b,
+'qwen-1.5-72b': qwen_1_5_72b,
+'qwen-1.5-110b': qwen_1_5_110b,
+'qwen-2-72b': qwen_2_72b,
'qwen-turbo': qwen_turbo,
@@ -620,6 +735,7 @@ class ModelUtils:
### Upstage ###
'solar-1-mini': solar_1_mini,
+'solar-10-7b': solar_10_7b,
### Pi ###
@@ -638,11 +754,16 @@ class ModelUtils:
'westlake-7b-v2': westlake_7b_v2,
-### CookinAI ###
-'donutlm-v1': donutlm_v1,
-
### DeepSeek ###
'deepseek': deepseek,
+
+
+### Together ###
+'sh-n-7b': sh_n_7b,
+
+
+### Yorickvp ###
+'llava-13b': llava_13b,
@@ -665,12 +786,16 @@ class ModelUtils:
'flux-anime': flux_anime,
'flux-3d': flux_3d,
'flux-disney': flux_disney,
+'flux-pixel': flux_pixel,
+'flux-schnell': flux_schnell,
### ###
'dalle': dalle,
+'dalle-2': dalle_2,
'dalle-mini': dalle_mini,
'emi': emi,
+'any-dark': any_dark,
}
_all_models = list(ModelUtils.convert.keys())
generated by cgit v1.2.3 (git 2.25.1) at 2024-09-20 04:39:00 +0200