From bc2be5a5b48768a6e66da89e5945d62bccca64c9 Mon Sep 17 00:00:00 2001
From: kqlio67 <kqlio67@users.noreply.github.com>
Date: Fri, 11 Oct 2024 09:30:06 +0300
Subject: feat(g4f/models.py): add new providers and models, enhance existing
 configurations

---
 g4f/models.py | 316 ++++++++++++++++++++++++++++++++++++++++++++++++----------
 1 file changed, 262 insertions(+), 54 deletions(-)

(limited to 'g4f/models.py')

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())
-- 
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