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-rw-r--r--g4f/models.py316
1 files changed, 262 insertions, 54 deletions
diff --git a/g4f/models.py b/g4f/models.py
index f1d50922..7a87f225 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -7,6 +7,7 @@ from .Provider import (
AIChatFree,
Airforce,
Allyfy,
+ AmigoChat,
Bing,
Binjie,
Blackbox,
@@ -15,6 +16,9 @@ from .Provider import (
ChatGptEs,
ChatgptFree,
ChatHub,
+ ChatifyAI,
+ Cloudflare,
+ DarkAI,
DDG,
DeepInfra,
DeepInfraChat,
@@ -34,7 +38,27 @@ from .Provider import (
LiteIcoding,
MagickPen,
MetaAI,
- Nexra,
+ NexraAnimagineXL,
+ NexraBing,
+ NexraBlackbox,
+ NexraChatGPT,
+ NexraChatGPT4o,
+ NexraChatGptV2,
+ NexraChatGptWeb,
+ NexraDallE,
+ NexraDallE2,
+ NexraDalleMini,
+ NexraEmi,
+ NexraFluxPro,
+ NexraGeminiPro,
+ NexraLLaMA31,
+ NexraMidjourney,
+ NexraProdiaAI,
+ NexraQwen,
+ NexraSD15,
+ NexraSD21,
+ NexraSDLora,
+ NexraSDTurbo,
OpenaiChat,
PerplexityLabs,
Pi,
@@ -85,9 +109,9 @@ default = Model(
LiteIcoding,
Airforce,
ChatHub,
- Nexra,
ChatGptEs,
ChatHub,
+ AmigoChat,
])
)
@@ -100,7 +124,7 @@ default = Model(
gpt_3 = Model(
name = 'gpt-3',
base_provider = 'OpenAI',
- best_provider = Nexra
+ best_provider = NexraChatGPT
)
# gpt-3.5
@@ -108,7 +132,7 @@ gpt_35_turbo = Model(
name = 'gpt-3.5-turbo',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- Allyfy, Nexra, Airforce, Liaobots,
+ Allyfy, NexraChatGPT, Airforce, DarkAI, Liaobots,
])
)
@@ -117,7 +141,7 @@ gpt_4o = Model(
name = 'gpt-4o',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- Liaobots, Nexra, ChatGptEs, Airforce,
+ NexraChatGPT4o, ChatGptEs, AmigoChat, DarkAI, Liaobots, Airforce,
OpenaiChat
])
)
@@ -126,7 +150,7 @@ gpt_4o_mini = Model(
name = 'gpt-4o-mini',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- DDG, ChatGptEs, You, FreeNetfly, Pizzagpt, LiteIcoding, MagickPen, Liaobots, Airforce, ChatgptFree, Koala,
+ DDG, ChatGptEs, You, FreeNetfly, Pizzagpt, LiteIcoding, MagickPen, AmigoChat, Liaobots, Airforce, ChatgptFree, Koala,
OpenaiChat, ChatGpt
])
)
@@ -135,7 +159,7 @@ gpt_4_turbo = Model(
name = 'gpt-4-turbo',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- Nexra, Liaobots, Airforce, Bing
+ Liaobots, Airforce, Bing
])
)
@@ -143,11 +167,24 @@ gpt_4 = Model(
name = 'gpt-4',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- Nexra, Binjie, Airforce, Chatgpt4Online, Bing, OpenaiChat,
+ NexraBing, NexraChatGPT, NexraChatGptV2, NexraChatGptWeb, Binjie, Airforce, Chatgpt4Online, Bing, OpenaiChat,
gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider
])
)
+# o1
+o1 = Model(
+ name = 'o1',
+ base_provider = 'OpenAI',
+ best_provider = IterListProvider([AmigoChat])
+)
+
+o1_mini = Model(
+ name = 'o1-mini',
+ base_provider = 'OpenAI',
+ best_provider = IterListProvider([AmigoChat])
+)
+
### GigaChat ###
gigachat = Model(
@@ -165,6 +202,12 @@ meta = Model(
)
# llama 2
+llama_2_7b = Model(
+ name = "llama-2-7b",
+ base_provider = "Meta Llama",
+ best_provider = Cloudflare
+)
+
llama_2_13b = Model(
name = "llama-2-13b",
base_provider = "Meta Llama",
@@ -175,7 +218,7 @@ llama_2_13b = Model(
llama_3_8b = Model(
name = "llama-3-8b",
base_provider = "Meta Llama",
- best_provider = IterListProvider([Airforce, DeepInfra, Replicate])
+ best_provider = IterListProvider([Cloudflare, Airforce, DeepInfra, Replicate])
)
llama_3_70b = Model(
@@ -194,40 +237,57 @@ llama_3 = Model(
llama_3_1_8b = Model(
name = "llama-3.1-8b",
base_provider = "Meta Llama",
- best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Airforce, PerplexityLabs])
+ best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, PerplexityLabs])
)
llama_3_1_70b = Model(
name = "llama-3.1-70b",
base_provider = "Meta Llama",
- best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, Airforce, HuggingFace, PerplexityLabs])
+ best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, HuggingFace, PerplexityLabs])
)
llama_3_1_405b = Model(
name = "llama-3.1-405b",
base_provider = "Meta Llama",
- best_provider = IterListProvider([DeepInfraChat, Blackbox, Airforce])
+ best_provider = IterListProvider([DeepInfraChat, Blackbox, AmigoChat, DarkAI, Airforce])
)
llama_3_1 = Model(
name = "llama-3.1",
base_provider = "Meta Llama",
- best_provider = IterListProvider([Nexra, llama_3_1_8b.best_provider, llama_3_1_70b.best_provider, llama_3_1_405b.best_provider,])
+ best_provider = IterListProvider([NexraLLaMA31, ChatifyAI, llama_3_1_8b.best_provider, llama_3_1_70b.best_provider, llama_3_1_405b.best_provider,])
)
# llama 3.2
+llama_3_2_1b = Model(
+ name = "llama-3.2-1b",
+ base_provider = "Meta Llama",
+ best_provider = IterListProvider([Cloudflare])
+)
+
+llama_3_2_3b = Model(
+ name = "llama-3.2-3b",
+ base_provider = "Meta Llama",
+ best_provider = IterListProvider([Cloudflare])
+)
+
llama_3_2_11b = Model(
name = "llama-3.2-11b",
base_provider = "Meta Llama",
- best_provider = IterListProvider([HuggingChat, HuggingFace])
+ best_provider = IterListProvider([Cloudflare, HuggingChat, HuggingFace])
)
llama_3_2_90b = Model(
name = "llama-3.2-90b",
base_provider = "Meta Llama",
- best_provider = IterListProvider([Airforce])
+ best_provider = IterListProvider([AmigoChat, Airforce])
)
+llama_3_2 = Model(
+ name = "llama-3.2",
+ base_provider = "Meta Llama",
+ best_provider = IterListProvider([llama_3_2_1b.best_provider, llama_3_2_3b.best_provider, llama_3_2_11b.best_provider, llama_3_2_90b.best_provider])
+)
# llamaguard
llamaguard_7b = Model(
name = "llamaguard-7b",
@@ -246,7 +306,7 @@ llamaguard_2_8b = Model(
mistral_7b = Model(
name = "mistral-7b",
base_provider = "Mistral",
- best_provider = IterListProvider([DeepInfraChat, Airforce, HuggingFace, DeepInfra])
+ best_provider = IterListProvider([DeepInfraChat, Cloudflare, Airforce, DeepInfra])
)
mixtral_8x7b = Model(
@@ -289,6 +349,12 @@ hermes_3 = Model(
### Microsoft ###
+phi_2 = Model(
+ name = "phi-2",
+ base_provider = "Microsoft",
+ best_provider = Cloudflare
+)
+
phi_3_medium_4k = Model(
name = "phi-3-medium-4k",
base_provider = "Microsoft",
@@ -306,7 +372,7 @@ phi_3_5_mini = Model(
gemini_pro = Model(
name = 'gemini-pro',
base_provider = 'Google DeepMind',
- best_provider = IterListProvider([GeminiPro, LiteIcoding, Blackbox, AIChatFree, GPROChat, Nexra, Liaobots, Airforce])
+ best_provider = IterListProvider([GeminiPro, LiteIcoding, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, AmigoChat, Liaobots, Airforce])
)
gemini_flash = Model(
@@ -343,6 +409,12 @@ gemma_2b = Model(
])
)
+gemma_7b = Model(
+ name = 'gemma-7b',
+ base_provider = 'Google',
+ best_provider = IterListProvider([Cloudflare])
+)
+
# gemma 2
gemma_2_27b = Model(
name = 'gemma-2-27b',
@@ -407,7 +479,7 @@ claude_3 = Model(
claude_3_5_sonnet = Model(
name = 'claude-3.5-sonnet',
base_provider = 'Anthropic',
- best_provider = IterListProvider([Blackbox, Airforce, Liaobots])
+ best_provider = IterListProvider([Blackbox, Airforce, AmigoChat, Liaobots])
)
claude_3_5 = Model(
@@ -430,10 +502,16 @@ reka_core = Model(
### Blackbox AI ###
-blackbox = Model(
- name = 'blackbox',
+blackboxai = Model(
+ name = 'blackboxai',
base_provider = 'Blackbox AI',
- best_provider = Blackbox
+ best_provider = IterListProvider([Blackbox, NexraBlackbox])
+)
+
+blackboxai_pro = Model(
+ name = 'blackboxai-pro',
+ base_provider = 'Blackbox AI',
+ best_provider = IterListProvider([Blackbox])
)
@@ -463,16 +541,22 @@ sparkdesk_v1_1 = Model(
### Qwen ###
# qwen 1
+qwen_1_5_0_5b = Model(
+ name = 'qwen-1.5-0.5b',
+ base_provider = 'Qwen',
+ best_provider = Cloudflare
+)
+
qwen_1_5_7b = Model(
name = 'qwen-1.5-7b',
base_provider = 'Qwen',
- best_provider = Airforce
+ best_provider = IterListProvider([Cloudflare, Airforce])
)
qwen_1_5_14b = Model(
name = 'qwen-1.5-14b',
base_provider = 'Qwen',
- best_provider = IterListProvider([FreeChatgpt, Airforce])
+ best_provider = IterListProvider([FreeChatgpt, Cloudflare, Airforce])
)
qwen_1_5_72b = Model(
@@ -487,6 +571,12 @@ qwen_1_5_110b = Model(
best_provider = Airforce
)
+qwen_1_5_1_8b = Model(
+ name = 'qwen-1.5-1.8b',
+ base_provider = 'Qwen',
+ best_provider = Airforce
+)
+
# qwen 2
qwen_2_72b = Model(
name = 'qwen-2-72b',
@@ -497,7 +587,7 @@ qwen_2_72b = Model(
qwen = Model(
name = 'qwen',
base_provider = 'Qwen',
- best_provider = IterListProvider([Nexra, qwen_1_5_14b.best_provider, qwen_1_5_72b.best_provider, qwen_1_5_110b.best_provider, qwen_2_72b.best_provider])
+ best_provider = IterListProvider([NexraQwen, qwen_1_5_0_5b.best_provider, qwen_1_5_14b.best_provider, qwen_1_5_72b.best_provider, qwen_1_5_110b.best_provider, qwen_1_5_1_8b.best_provider, qwen_2_72b.best_provider])
)
@@ -514,14 +604,6 @@ glm_4_9b = Model(
best_provider = FreeChatgpt
)
-glm_4 = Model(
- name = 'glm-4',
- base_provider = 'Zhipu AI',
- best_provider = IterListProvider([
- glm_3_6b.best_provider, glm_4_9b.best_provider
- ])
-)
-
### 01-ai ###
yi_1_5_9b = Model(
@@ -602,6 +684,12 @@ lzlv_70b = Model(
### OpenChat ###
+openchat_3_5 = Model(
+ name = 'openchat-3.5',
+ base_provider = 'OpenChat',
+ best_provider = Cloudflare
+)
+
openchat_3_6_8b = Model(
name = 'openchat-3.6-8b',
base_provider = 'OpenChat',
@@ -669,16 +757,71 @@ cosmosrp = Model(
)
+### TheBloke ###
+german_7b = Model(
+ name = 'german-7b',
+ base_provider = 'TheBloke',
+ best_provider = IterListProvider([Cloudflare])
+)
+
+
+### Tinyllama ###
+tinyllama_1_1b = Model(
+ name = 'tinyllama-1.1b',
+ base_provider = 'Tinyllama',
+ best_provider = IterListProvider([Cloudflare])
+)
+
+
+### Fblgit ###
+cybertron_7b = Model(
+ name = 'cybertron-7b',
+ base_provider = 'Fblgit',
+ best_provider = IterListProvider([Cloudflare])
+)
+
+
#############
### Image ###
#############
### Stability AI ###
+sdxl_lora = Model(
+ name = 'sdxl-lora',
+ base_provider = 'Stability AI',
+ best_provider = IterListProvider([NexraSDLora])
+
+)
+
+sdxl_turbo = Model(
+ name = 'sdxl-turbo',
+ base_provider = 'Stability AI',
+ best_provider = IterListProvider([NexraSDTurbo])
+
+)
+
sdxl = Model(
name = 'sdxl',
base_provider = 'Stability AI',
- best_provider = IterListProvider([ReplicateHome, Nexra, DeepInfraImage])
+ best_provider = IterListProvider([
+ ReplicateHome, NexraSD21, DeepInfraImage,
+ sdxl_lora.best_provider, sdxl_turbo.best_provider,
+ ])
+
+)
+
+sd_1_5 = Model(
+ name = 'sd-1.5',
+ base_provider = 'Stability AI',
+ best_provider = IterListProvider([NexraSD15])
+
+)
+
+sd_2_1 = Model(
+ name = 'sd-2.1',
+ base_provider = 'Stability AI',
+ best_provider = IterListProvider([NexraSD21])
)
@@ -689,6 +832,13 @@ sd_3 = Model(
)
+sd = Model(
+ name = 'sd',
+ base_provider = 'Stability AI',
+ best_provider = IterListProvider([sd_1_5.best_provider, sd_2_1.best_provider, sd_3.best_provider])
+
+)
+
### Playground ###
playground_v2_5 = Model(
@@ -707,10 +857,17 @@ flux = Model(
)
+flux_pro = Model(
+ name = 'flux-pro',
+ base_provider = 'Flux AI',
+ best_provider = IterListProvider([NexraFluxPro, AmigoChat])
+
+)
+
flux_realism = Model(
name = 'flux-realism',
base_provider = 'Flux AI',
- best_provider = IterListProvider([Airforce])
+ best_provider = IterListProvider([Airforce, AmigoChat])
)
@@ -757,31 +914,48 @@ flux_schnell = Model(
)
-### ###
+### OpenAI ###
dalle_2 = Model(
name = 'dalle-2',
- base_provider = '',
- best_provider = IterListProvider([Nexra])
+ base_provider = 'OpenAI',
+ best_provider = IterListProvider([NexraDallE2])
)
dalle_3 = Model(
name = 'dalle-3',
- base_provider = '',
+ base_provider = 'OpenAI',
best_provider = IterListProvider([Airforce])
)
dalle = Model(
name = 'dalle',
- base_provider = '',
- best_provider = IterListProvider([Nexra, dalle_2.best_provider, dalle_3.best_provider])
+ base_provider = 'OpenAI',
+ best_provider = IterListProvider([NexraDallE, dalle_2.best_provider, dalle_3.best_provider])
)
dalle_mini = Model(
name = 'dalle-mini',
- base_provider = '',
- best_provider = IterListProvider([Nexra])
+ base_provider = 'OpenAI',
+ best_provider = IterListProvider([NexraDalleMini])
+
+)
+
+
+### Cagliostro Research Lab ###
+animagine_xl = Model(
+ name = 'animagine-xl',
+ base_provider = 'Cagliostro Research Lab',
+ best_provider = IterListProvider([NexraAnimagineXL])
+
+)
+
+### Midjourney ###
+midjourney = Model(
+ name = 'midjourney',
+ base_provider = 'Midjourney',
+ best_provider = IterListProvider([NexraMidjourney])
)
@@ -789,7 +963,7 @@ dalle_mini = Model(
emi = Model(
name = 'emi',
base_provider = '',
- best_provider = IterListProvider([Nexra])
+ best_provider = IterListProvider([NexraEmi])
)
@@ -800,13 +974,6 @@ any_dark = Model(
)
-prodia = Model(
- name = 'prodia',
- base_provider = '',
- best_provider = IterListProvider([Nexra])
-
-)
-
class ModelUtils:
"""
Utility class for mapping string identifiers to Model instances.
@@ -832,12 +999,17 @@ class ModelUtils:
'gpt-4o-mini': gpt_4o_mini,
'gpt-4': gpt_4,
'gpt-4-turbo': gpt_4_turbo,
+
+# o1
+'o1': o1,
+'o1-mini': o1_mini,
### Meta ###
"meta-ai": meta,
# llama-2
+'llama-2-7b': llama_2_7b,
'llama-2-13b': llama_2_13b,
# llama-3
@@ -852,6 +1024,9 @@ class ModelUtils:
'llama-3.1-405b': llama_3_1_405b,
# llama-3.2
+'llama-3.2': llama_3_2,
+'llama-3.2-1b': llama_3_2_1b,
+'llama-3.2-3b': llama_3_2_3b,
'llama-3.2-11b': llama_3_2_11b,
'llama-3.2-90b': llama_3_2_90b,
@@ -875,6 +1050,7 @@ class ModelUtils:
### Microsoft ###
+'phi-2': phi_2,
'phi_3_medium-4k': phi_3_medium_4k,
'phi-3.5-mini': phi_3_5_mini,
@@ -888,6 +1064,7 @@ class ModelUtils:
'gemma-2b': gemma_2b,
'gemma-2b-9b': gemma_2b_9b,
'gemma-2b-27b': gemma_2b_27b,
+'gemma-7b': gemma_7b,
# gemma-2
'gemma-2': gemma_2,
@@ -914,7 +1091,8 @@ class ModelUtils:
### Blackbox AI ###
-'blackbox': blackbox,
+'blackboxai': blackboxai,
+'blackboxai-pro': blackboxai_pro,
### CohereForAI ###
@@ -935,17 +1113,18 @@ class ModelUtils:
### Qwen ###
'qwen': qwen,
+'qwen-1.5-0.5b': qwen_1_5_0_5b,
'qwen-1.5-7b': qwen_1_5_7b,
'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-1.5-1.8b': qwen_1_5_1_8b,
'qwen-2-72b': qwen_2_72b,
### Zhipu AI ###
'glm-3-6b': glm_3_6b,
'glm-4-9b': glm_4_9b,
-'glm-4': glm_4,
### 01-ai ###
@@ -983,6 +1162,7 @@ class ModelUtils:
### OpenChat ###
+'openchat-3.5': openchat_3_5,
'openchat-3.6-8b': openchat_3_6_8b,
@@ -1012,6 +1192,18 @@ class ModelUtils:
'cosmosrp': cosmosrp,
+### TheBloke ###
+'german-7b': german_7b,
+
+
+### Tinyllama ###
+'tinyllama-1.1b': tinyllama_1_1b,
+
+
+### Fblgit ###
+'cybertron-7b': cybertron_7b,
+
+
#############
### Image ###
@@ -1019,6 +1211,11 @@ class ModelUtils:
### Stability AI ###
'sdxl': sdxl,
+'sdxl-lora': sdxl_lora,
+'sdxl-turbo': sdxl_turbo,
+'sd': sd,
+'sd-1.5': sd_1_5,
+'sd-2.1': sd_2_1,
'sd-3': sd_3,
@@ -1028,6 +1225,7 @@ class ModelUtils:
### Flux AI ###
'flux': flux,
+'flux-pro': flux_pro,
'flux-realism': flux_realism,
'flux-anime': flux_anime,
'flux-3d': flux_3d,
@@ -1037,14 +1235,24 @@ class ModelUtils:
'flux-schnell': flux_schnell,
-### ###
+### OpenAI ###
'dalle': dalle,
'dalle-2': dalle_2,
'dalle-3': dalle_3,
'dalle-mini': dalle_mini,
+
+
+### Cagliostro Research Lab ###
+'animagine-xl': animagine_xl,
+
+
+### Midjourney ###
+'midjourney': midjourney,
+
+
+### Other ###
'emi': emi,
'any-dark': any_dark,
-'prodia': prodia,
}
_all_models = list(ModelUtils.convert.keys())
generated by cgit v1.2.3 (git 2.25.1) at 2024-10-27 04:27:02 +0100