1 files changed, 943 insertions, 274 deletions

diff --git a/g4f/models.py b/g4f/models.py
index e9016561..32a12d10 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -4,36 +4,67 @@ from dataclasses import dataclass
 
 from .Provider import IterListProvider, ProviderType
 from .Provider import (
-    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,
+    Ai4Chat,
+    AIChatFree,
+    AiMathGPT,
+    Airforce,
+    Allyfy,
+    AmigoChat,
+    Bing,
+    Blackbox,
+    ChatGpt,
+    Chatgpt4Online,
+    ChatGptEs,
+    ChatgptFree,
+    ChatHub,
+    ChatifyAI,
+    Cloudflare,
+    DarkAI,
+    DDG,
+    DeepInfra,
+    DeepInfraChat,
+    Editee,
+    Free2GPT,
+    FreeChatgpt,
+    FreeGpt,
+    FreeNetfly,
+    Gemini,
+    GeminiPro,
+    GizAI,
+    GigaChat,
+    GPROChat,
+    HuggingChat,
+    HuggingFace,
+    Koala,
+    Liaobots,
+    MagickPen,
+    MetaAI,
+    NexraBing,
+    NexraBlackbox,
+    NexraChatGPT,
+    NexraDallE,
+    NexraDallE2,
+    NexraEmi,
+    NexraFluxPro,
+    NexraGeminiPro,
+    NexraMidjourney,
+    NexraQwen,
+    NexraSD15,
+    NexraSDLora,
+    NexraSDTurbo,
+    OpenaiChat,
+    PerplexityLabs,
+    Pi,
+    Pizzagpt,
+    Reka,
+    Replicate,
+    ReplicateHome,
+    RubiksAI,
+    TeachAnything,
+    Upstage,
 )
 
+
 @dataclass(unsafe_hash=True)
 class Model:
     """
@@ -53,120 +84,91 @@ class Model:
         """Returns a list of all model names."""
         return _all_models
 
+
+### Default ###
 default = Model(
     name          = "",
     base_provider = "",
     best_provider = IterListProvider([
-        Bing,
-        You,
-        OpenaiChat,
-        FreeChatgpt,
-        AI365VIP,
-        Chatgpt4o,
         DDG,
-        ChatgptFree,
-        Koala,
-        Pizzagpt,
-    ])
-)
-
-# GPT-3.5 too, but all providers supports long requests and responses
-gpt_35_long = Model(
-    name          = 'gpt-3.5-turbo',
-    base_provider = 'openai',
-    best_provider = IterListProvider([
-        FreeGpt,
-        You,
-        OpenaiChat,
-        Koala,
-        ChatgptFree,
         FreeChatgpt,
-        DDG,
-        AI365VIP,
+        HuggingChat,
         Pizzagpt,
+        ReplicateHome,
+        Upstage,
+        Blackbox,
+        Free2GPT,
+        MagickPen,
+        DeepInfraChat,
+        Airforce, 
+        ChatHub,
+        ChatGptEs,
+        ChatHub,
+        AmigoChat,
+        ChatifyAI,
+        Cloudflare,
+        Editee,
+        AiMathGPT,
     ])
 )
 
+
+
 ############
 ### Text ###
 ############
 
 ### OpenAI ###
-### GPT-3.5 / GPT-4 ###
+# gpt-3
+gpt_3 = Model(
+    name          = 'gpt-3',
+    base_provider = 'OpenAI',
+    best_provider = NexraChatGPT
+)
+
 # gpt-3.5
 gpt_35_turbo = Model(
     name          = 'gpt-3.5-turbo',
-    base_provider = 'openai',
-    best_provider = IterListProvider([
-        FreeGpt,
-        You,
-        Koala,
-        OpenaiChat,
-        ChatgptFree,
-        FreeChatgpt,
-        DDG,
-        AI365VIP,
-        Pizzagpt,
-    ])
+    base_provider = 'OpenAI',
+    best_provider = IterListProvider([Allyfy, NexraChatGPT, Airforce, DarkAI, Liaobots])
 )
 
-gpt_35_turbo_16k = Model(
-    name          = 'gpt-3.5-turbo-16k',
-    base_provider = 'openai',
-    best_provider = gpt_35_long.best_provider
+# gpt-4
+gpt_4o = Model(
+    name          = 'gpt-4o',
+    base_provider = 'OpenAI',
+    best_provider = IterListProvider([NexraChatGPT, Blackbox, ChatGptEs, AmigoChat, DarkAI, Editee, GizAI, Airforce, Liaobots, OpenaiChat])
 )
 
-gpt_35_turbo_16k_0613 = Model(
-    name          = 'gpt-3.5-turbo-16k-0613',
-    base_provider = 'openai',
-    best_provider = gpt_35_long.best_provider
+gpt_4o_mini = Model(
+    name          = 'gpt-4o-mini',
+    base_provider = 'OpenAI',
+    best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, AmigoChat, RubiksAI, Liaobots, Airforce, GizAI, ChatgptFree, Koala, OpenaiChat, ChatGpt])
 )
 
-gpt_35_turbo_0613 = Model(
-    name          = 'gpt-3.5-turbo-0613',
-    base_provider = 'openai',
-    best_provider = gpt_35_turbo.best_provider
+gpt_4_turbo = Model(
+    name          = 'gpt-4-turbo',
+    base_provider = 'OpenAI',
+    best_provider = IterListProvider([Liaobots, Airforce, Bing])
 )
 
-# gpt-4
 gpt_4 = Model(
     name          = 'gpt-4',
-    base_provider = 'openai',
-    best_provider = IterListProvider([
-        Bing, Liaobots, 
-    ])
+    base_provider = 'OpenAI',
+    best_provider = IterListProvider([Chatgpt4Online, Ai4Chat, NexraBing, NexraChatGPT, Airforce, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
 )
 
-gpt_4_0613 = Model(
-    name          = 'gpt-4-0613',
-    base_provider = 'openai',
-    best_provider = gpt_4.best_provider
+# o1
+o1 = Model(
+    name          = 'o1',
+    base_provider = 'OpenAI',
+    best_provider = AmigoChat
 )
 
-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(
-    name          = 'gpt-4-turbo',
-    base_provider = 'openai',
-    best_provider = Bing
-)
-
-gpt_4o = Model(
-    name          = 'gpt-4o',
-    base_provider = 'openai',
-    best_provider = IterListProvider([
-        You, Liaobots, Chatgpt4o, AI365VIP
-    ])
+o1_mini = Model(
+    name          = 'o1-mini',
+    base_provider = 'OpenAI',
+    best_provider = IterListProvider([AmigoChat, GizAI])
 )
 
 
@@ -180,131 +182,257 @@ gigachat = Model(
 
 ### Meta ###
 meta = Model(
-    name          = "meta",
-    base_provider = "meta",
+    name          = "meta-ai",
+    base_provider = "Meta",
     best_provider = MetaAI
 )
 
-llama_2_70b_chat = Model(
-    name          = "meta/llama-2-70b-chat",
-    base_provider = "meta",
-    best_provider = IterListProvider([ReplicateHome])
+# llama 2
+llama_2_7b = Model(
+    name          = "llama-2-7b",
+    base_provider = "Meta Llama",
+    best_provider = Cloudflare
 )
 
-llama3_8b_instruct = Model(
-    name          = "meta-llama/Meta-Llama-3-8B-Instruct",
-    base_provider = "meta",
-    best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
+llama_2_13b = Model(
+    name          = "llama-2-13b",
+    base_provider = "Meta Llama",
+    best_provider = Airforce
 )
 
-llama3_70b_instruct = Model(
-    name          = "meta-llama/Meta-Llama-3-70B-Instruct",
-    base_provider = "meta",
-    best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate, HuggingChat, DDG])
+# llama 3
+llama_3_8b = Model(
+    name          = "llama-3-8b",
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([Cloudflare, Airforce, DeepInfra, Replicate])
 )
 
-codellama_34b_instruct = Model(
-    name          = "codellama/CodeLlama-34b-Instruct-hf",
-    base_provider = "meta",
-    best_provider = HuggingChat
+llama_3_70b = Model(
+    name          = "llama-3-70b",
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate])
 )
 
-codellama_70b_instruct = Model(
-    name          = "codellama/CodeLlama-70b-Instruct-hf",
-    base_provider = "meta",
-    best_provider = IterListProvider([DeepInfra])
+# llama 3.1
+llama_3_1_8b = Model(
+    name          = "llama-3.1-8b",
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, GizAI, 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, DarkAI, Airforce, AiMathGPT, RubiksAI, GizAI, HuggingFace, PerplexityLabs])
+)
+
+llama_3_1_405b = Model(
+    name          = "llama-3.1-405b",
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([DeepInfraChat, Blackbox, AmigoChat, DarkAI, Airforce])
+)
+
+# llama 3.2
+llama_3_2_1b = Model(
+    name          = "llama-3.2-1b",
+    base_provider = "Meta Llama",
+    best_provider = Cloudflare
+)
+
+llama_3_2_3b = Model(
+    name          = "llama-3.2-3b",
+    base_provider = "Meta Llama",
+    best_provider = Cloudflare
+)
+
+llama_3_2_11b = Model(
+    name          = "llama-3.2-11b",
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([Cloudflare, HuggingChat, HuggingFace])
+)
+
+llama_3_2_90b = Model(
+    name          = "llama-3.2-90b",
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([AmigoChat, Airforce])
+)
+
+
+# llamaguard
+llamaguard_7b = Model(
+    name          = "llamaguard-7b",
+    base_provider = "Meta Llama",
+    best_provider = Airforce
+)
+
+llamaguard_2_8b = Model(
+    name          = "llamaguard-2-8b",
+    base_provider = "Meta Llama",
+    best_provider = Airforce
 )
 
 
 ### Mistral ###
+mistral_7b = Model(
+    name          = "mistral-7b",
+    base_provider = "Mistral",
+    best_provider = IterListProvider([DeepInfraChat, Cloudflare, Airforce, DeepInfra])
+)
+
 mixtral_8x7b = Model(
-    name          = "mistralai/Mixtral-8x7B-Instruct-v0.1",
-    base_provider = "huggingface",
-    best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs, HuggingChat, DDG])
+    name          = "mixtral-8x7b",
+    base_provider = "Mistral",
+    best_provider = IterListProvider([DDG, ReplicateHome, DeepInfraChat, ChatHub, Airforce, DeepInfra])
 )
 
-mistral_7b_v02 = Model(
-    name          = "mistralai/Mistral-7B-Instruct-v0.2",
-    base_provider = "huggingface",
-    best_provider = IterListProvider([DeepInfra, HuggingFace, HuggingChat, ReplicateHome])
+mixtral_8x22b = Model(
+    name          = "mixtral-8x22b",
+    base_provider = "Mistral",
+    best_provider = IterListProvider([DeepInfraChat, Airforce])
+)
+
+mistral_nemo = Model(
+    name          = "mistral-nemo",
+    base_provider = "Mistral",
+    best_provider = IterListProvider([HuggingChat, HuggingFace])
+)
+
+mistral_large = Model(
+    name          = "mistral-large",
+    base_provider = "Mistral",
+    best_provider = IterListProvider([Editee, GizAI])
 )
 
 
 ### NousResearch ###
-Nous_Hermes_2_Mixtral_8x7B_DPO = Model(
-    name          = "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+mixtral_8x7b_dpo = Model(
+    name          = "mixtral-8x7b-dpo",
     base_provider = "NousResearch",
-    best_provider = IterListProvider([HuggingFace, HuggingChat])
+    best_provider = Airforce
 )
 
+yi_34b = Model(
+    name          = "yi-34b",
+    base_provider = "NousResearch",
+    best_provider = Airforce
+)
 
-### 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])
+hermes_3 = Model(
+    name          = "hermes-3",
+    base_provider = "NousResearch",
+    best_provider = IterListProvider([HuggingChat, HuggingFace])
 )
 
 
 ### Microsoft ###
-Phi_3_mini_4k_instruct = Model(
-    name          = "microsoft/Phi-3-mini-4k-instruct",
+phi_2 = Model(
+    name          = "phi-2",
     base_provider = "Microsoft",
-    best_provider = IterListProvider([HuggingFace, HuggingChat])
+    best_provider = Cloudflare
 )
 
+phi_3_medium_4k = Model(
+    name          = "phi-3-medium-4k",
+    base_provider = "Microsoft",
+    best_provider = DeepInfraChat
+)
 
-### Google ###
+phi_3_5_mini = Model(
+    name          = "phi-3.5-mini",
+    base_provider = "Microsoft",
+    best_provider = IterListProvider([HuggingChat, HuggingFace])
+)
+
+### Google DeepMind ###
 # gemini
+gemini_pro = Model(
+    name          = 'gemini-pro',
+    base_provider = 'Google DeepMind',
+    best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, AmigoChat, Editee, GizAI, Airforce, Liaobots])
+)
+
+gemini_flash = Model(
+    name          = 'gemini-flash',
+    base_provider = 'Google DeepMind',
+    best_provider = IterListProvider([Blackbox, GizAI, Airforce, Liaobots])
+)
+
 gemini = Model(
     name          = 'gemini',
-    base_provider = 'Google',
+    base_provider = 'Google DeepMind',
     best_provider = Gemini
 )
 
-gemini_pro = Model(
-    name          = 'gemini-pro',
+# gemma
+gemma_2b_9b = Model(
+    name          = 'gemma-2b-9b',
     base_provider = 'Google',
-    best_provider = IterListProvider([GeminiPro, You, GeminiProChat])
+    best_provider = Airforce
 )
 
-# gemma
-gemma_2_9b_it = Model(
-    name          = 'gemma-2-9b-it',
+gemma_2b_27b = Model(
+    name          = 'gemma-2b-27b',
+    base_provider = 'Google',
+    best_provider = IterListProvider([DeepInfraChat, Airforce])
+)
+
+gemma_2b = Model(
+    name          = 'gemma-2b',
+    base_provider = 'Google',
+    best_provider = IterListProvider([ReplicateHome, Airforce])
+)
+
+gemma_7b = Model(
+    name          = 'gemma-7b',
+    base_provider = 'Google',
+    best_provider = Cloudflare
+)
+
+# gemma 2
+gemma_2_27b = Model(
+    name          = 'gemma-2-27b',
     base_provider = 'Google',
-    best_provider = IterListProvider([PerplexityLabs])
+    best_provider = Airforce
 )
 
-gemma_2_27b_it = Model(
-    name          = 'gemma-2-27b-it',
+gemma_2 = Model(
+    name          = 'gemma-2',
     base_provider = 'Google',
-    best_provider = IterListProvider([PerplexityLabs])
+    best_provider = ChatHub
 )
 
 
 ### Anthropic ###
-claude_v2 = Model(
-    name          = 'claude-v2',
-    base_provider = 'anthropic',
-    best_provider = IterListProvider([Vercel])
+claude_2_1 = Model(
+    name          = 'claude-2.1',
+    base_provider = 'Anthropic',
+    best_provider = Liaobots
 )
 
+# claude 3
 claude_3_opus = Model(
     name          = 'claude-3-opus',
-    base_provider = 'anthropic',
-    best_provider = You
+    base_provider = 'Anthropic',
+    best_provider = IterListProvider([Airforce, Liaobots])
 )
 
 claude_3_sonnet = Model(
     name          = 'claude-3-sonnet',
-    base_provider = 'anthropic',
-    best_provider = You
+    base_provider = 'Anthropic',
+    best_provider = IterListProvider([Airforce, Liaobots])
 )
 
 claude_3_haiku = Model(
     name          = 'claude-3-haiku',
-    base_provider = 'anthropic',
-    best_provider = IterListProvider([DDG, AI365VIP])
+    base_provider = 'Anthropic',
+    best_provider = IterListProvider([DDG, Airforce, GizAI, Liaobots])
+)
+
+# claude 3.5
+claude_3_5_sonnet = Model(
+    name          = 'claude-3.5-sonnet',
+    base_provider = 'Anthropic',
+    best_provider = IterListProvider([Blackbox, Editee, AmigoChat, Airforce, GizAI, Liaobots])
 )
 
 
@@ -316,66 +444,453 @@ reka_core = Model(
 )
 
 
-### NVIDIA ###
-nemotron_4_340b_instruct = Model(
-    name = 'nemotron-4-340b-instruct',
-    base_provider = 'NVIDIA',
-    best_provider = IterListProvider([PerplexityLabs])
+### Blackbox AI ###
+blackboxai = Model(
+    name = 'blackboxai',
+    base_provider = 'Blackbox AI',
+    best_provider = IterListProvider([Blackbox, NexraBlackbox])
 )
 
-
-### Blackbox ###
-blackbox = Model(
-    name = 'blackbox',
-    base_provider = 'Blackbox',
+blackboxai_pro = Model(
+    name = 'blackboxai-pro',
+    base_provider = 'Blackbox AI',
     best_provider = Blackbox
 )
 
 
 ### Databricks ###
 dbrx_instruct = Model(
-    name = 'databricks/dbrx-instruct',
+    name = 'dbrx-instruct',
     base_provider = 'Databricks',
-    best_provider = IterListProvider([DeepInfra])
+    best_provider = IterListProvider([Airforce, DeepInfra])
 )
 
 
 ### CohereForAI ###
 command_r_plus = Model(
-    name = 'CohereForAI/c4ai-command-r-plus',
+    name = 'command-r-plus',
     base_provider = 'CohereForAI',
-    best_provider = IterListProvider([HuggingChat])
+    best_provider = HuggingChat
 )
 
 
-### Other ###
+### iFlytek ###
+sparkdesk_v1_1 = Model(
+    name = 'sparkdesk-v1.1',
+    base_provider = 'iFlytek',
+    best_provider = FreeChatgpt
+)
+
+
+### 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 = IterListProvider([Cloudflare, Airforce])
+)
+
+qwen_1_5_14b = Model(
+    name = 'qwen-1.5-14b',
+    base_provider = 'Qwen',
+    best_provider = IterListProvider([FreeChatgpt, Cloudflare, Airforce])
+)
+
+qwen_1_5_72b = Model(
+    name = 'qwen-1.5-72b',
+    base_provider = 'Qwen',
+    best_provider = Airforce
+)
+
+qwen_1_5_110b = Model(
+    name = 'qwen-1.5-110b',
+    base_provider = 'Qwen',
+    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',
+    base_provider = 'Qwen',
+    best_provider = IterListProvider([DeepInfraChat, HuggingChat, Airforce, HuggingFace])
+)
+
+qwen = Model(
+    name = 'qwen',
+    base_provider = 'Qwen',
+    best_provider = NexraQwen
+)
+
+
+### Zhipu AI ###
+glm_3_6b = Model(
+    name = 'glm-3-6b',
+    base_provider = 'Zhipu AI',
+    best_provider = FreeChatgpt
+)
+
+glm_4_9b = Model(
+    name = 'glm-4-9B',
+    base_provider = 'Zhipu AI',
+    best_provider = FreeChatgpt
+)
+
+
+### 01-ai ###
+yi_1_5_9b = Model(
+    name = 'yi-1.5-9b',
+    base_provider = '01-ai',
+    best_provider = FreeChatgpt
+)
+
+### Upstage ###
+solar_1_mini = Model(
+    name = 'solar-1-mini',
+    base_provider = 'Upstage',
+    best_provider = Upstage
+)
+
+solar_10_7b = Model(
+    name = 'solar-10-7b',
+    base_provider = 'Upstage',
+    best_provider = Airforce
+)
+
+solar_pro = Model(
+    name = 'solar-pro',
+    base_provider = 'Upstage',
+    best_provider = Upstage
+)
+
+
+### Inflection ###
 pi = Model(
     name = 'pi',
-    base_provider = 'inflection',
+    base_provider = 'Inflection',
     best_provider = Pi
 )
 
+### DeepSeek ###
+deepseek = Model(
+    name = 'deepseek',
+    base_provider = 'DeepSeek',
+    best_provider = Airforce
+)
+
+### WizardLM ###
+wizardlm_2_7b = Model(
+    name = 'wizardlm-2-7b',
+    base_provider = 'WizardLM',
+    best_provider = DeepInfraChat
+)
+
+wizardlm_2_8x22b = Model(
+    name = 'wizardlm-2-8x22b',
+    base_provider = 'WizardLM',
+    best_provider = IterListProvider([DeepInfraChat, Airforce])
+)
+
+### Yorickvp ###
+llava_13b = Model(
+    name = 'llava-13b',
+    base_provider = 'Yorickvp',
+    best_provider = ReplicateHome
+)
+
+
+### OpenBMB ###
+minicpm_llama_3_v2_5 = Model(
+    name = 'minicpm-llama-3-v2.5',
+    base_provider = 'OpenBMB',
+    best_provider = DeepInfraChat
+)
+
+
+### Lzlv ###
+lzlv_70b = Model(
+    name = 'lzlv-70b',
+    base_provider = 'Lzlv',
+    best_provider = DeepInfraChat
+)
+
+
+### 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',
+    best_provider = DeepInfraChat
+)
+
+
+### Phind ###
+phind_codellama_34b_v2 = Model(
+    name = 'phind-codellama-34b-v2',
+    base_provider = 'Phind',
+    best_provider = DeepInfraChat
+)
+
+
+### Cognitive Computations ###
+dolphin_2_9_1_llama_3_70b = Model(
+    name = 'dolphin-2.9.1-llama-3-70b',
+    base_provider = 'Cognitive Computations',
+    best_provider = DeepInfraChat
+)
+
+
+### x.ai ###
+grok_2 = Model(
+    name = 'grok-2',
+    base_provider = 'x.ai',
+    best_provider = Liaobots
+)
+
+grok_2_mini = Model(
+    name = 'grok-2-mini',
+    base_provider = 'x.ai',
+    best_provider = Liaobots
+)
+
+
+### Perplexity AI ### 
+sonar_online = Model(
+    name = 'sonar-online',
+    base_provider = 'Perplexity AI',
+    best_provider = IterListProvider([ChatHub, PerplexityLabs])
+)
+
+sonar_chat = Model(
+    name = 'sonar-chat',
+    base_provider = 'Perplexity AI',
+    best_provider = PerplexityLabs
+)
+
+
+### Gryphe ### 
+mythomax_l2_13b = Model(
+    name = 'mythomax-l2-13b',
+    base_provider = 'Gryphe',
+    best_provider = Airforce
+)
+
+
+### Pawan ### 
+cosmosrp = Model(
+    name = 'cosmosrp',
+    base_provider = 'Pawan',
+    best_provider = Airforce
+)
+
+
+### TheBloke ### 
+german_7b = Model(
+    name = 'german-7b',
+    base_provider = 'TheBloke',
+    best_provider = Cloudflare
+)
+
+
+### Tinyllama ### 
+tinyllama_1_1b = Model(
+    name = 'tinyllama-1.1b',
+    base_provider = 'Tinyllama',
+    best_provider = Cloudflare
+)
+
+
+### Fblgit ### 
+cybertron_7b = Model(
+    name = 'cybertron-7b',
+    base_provider = 'Fblgit',
+    best_provider = Cloudflare
+)
+
+### Nvidia ### 
+nemotron_70b = Model(
+    name = 'nemotron-70b',
+    base_provider = 'Nvidia',
+    best_provider = IterListProvider([HuggingChat, HuggingFace])
+)
+
+
 
 #############
 ### Image ###
 #############
 
 ### Stability AI ###
-sdxl = Model(
-    name = 'stability-ai/sdxl',
+sdxl_turbo = Model(
+    name = 'sdxl-turbo',
+    base_provider = 'Stability AI',
+    best_provider = NexraSDTurbo
+    
+)
+
+sdxl_lora = Model(
+    name = 'sdxl-lora',
     base_provider = 'Stability AI',
-    best_provider = IterListProvider([ReplicateHome, DeepInfraImage])
+    best_provider = NexraSDLora
     
 )
 
-### AI Forever ###
-kandinsky_2_2 = Model(
-    name = 'ai-forever/kandinsky-2.2',
-    base_provider = 'AI Forever',
+sdxl = Model(
+    name = 'sdxl',
+    base_provider = 'Stability AI',
     best_provider = IterListProvider([ReplicateHome])
     
 )
 
+sd_1_5 = Model(
+    name = 'sd-1.5',
+    base_provider = 'Stability AI',
+    best_provider = IterListProvider([NexraSD15, GizAI])
+    
+)
+
+sd_3 = Model(
+    name = 'sd-3',
+    base_provider = 'Stability AI',
+    best_provider = ReplicateHome
+    
+)
+
+sd_3_5 = Model(
+    name = 'sd-3.5',
+    base_provider = 'Stability AI',
+    best_provider = GizAI
+    
+)
+
+### Playground ###
+playground_v2_5 = Model(
+    name = 'playground-v2.5',
+    base_provider = 'Playground AI',
+    best_provider = ReplicateHome
+    
+)
+
+
+### Flux AI ###
+flux = Model(
+    name = 'flux',
+    base_provider = 'Flux AI',
+    best_provider = IterListProvider([Airforce, Blackbox])
+    
+)
+
+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, AmigoChat])
+    
+)
+
+flux_anime = Model(
+    name = 'flux-anime',
+    base_provider = 'Flux AI',
+    best_provider = Airforce
+    
+)
+
+flux_3d = Model(
+    name = 'flux-3d',
+    base_provider = 'Flux AI',
+    best_provider = Airforce
+    
+)
+
+flux_disney = Model(
+    name = 'flux-disney',
+    base_provider = 'Flux AI',
+    best_provider = Airforce
+    
+)
+
+flux_pixel = Model(
+    name = 'flux-pixel',
+    base_provider = 'Flux AI',
+    best_provider = Airforce
+    
+)
+
+flux_4o = Model(
+    name = 'flux-4o',
+    base_provider = 'Flux AI',
+    best_provider = Airforce
+    
+)
+
+flux_schnell = Model(
+    name = 'flux-schnell',
+    base_provider = 'Flux AI',
+    best_provider = IterListProvider([ReplicateHome, GizAI])
+    
+)
+
+
+### OpenAI ###
+dalle_2 = Model(
+    name = 'dalle-2',
+    base_provider = 'OpenAI',
+    best_provider = NexraDallE2
+    
+)
+
+dalle = Model(
+    name = 'dalle',
+    base_provider = 'OpenAI',
+    best_provider = NexraDallE
+    
+)
+
+### Midjourney ###
+midjourney = Model(
+    name = 'midjourney',
+    base_provider = 'Midjourney',
+    best_provider = NexraMidjourney
+    
+)
+
+### Other ###
+emi = Model(
+    name = 'emi',
+    base_provider = '',
+    best_provider = NexraEmi
+    
+)
+
+any_dark = Model(
+    name = 'any-dark',
+    base_provider = '',
+    best_provider = Airforce
+    
+)
+
 class ModelUtils:
     """
     Utility class for mapping string identifiers to Model instances.
@@ -385,113 +900,267 @@ class ModelUtils:
     """
     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-long': gpt_35_long,
+############
+### Text ###
+############
+        
+### OpenAI ###
+# gpt-3
+'gpt-3': gpt_3,
+
+# gpt-3.5
+'gpt-3.5-turbo': gpt_35_turbo,
 
-        # gpt-4
-        'gpt-4o'         : gpt_4o,
-        '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,
+# gpt-4
+'gpt-4o': gpt_4o,
+'gpt-4o-mini': gpt_4o_mini,
+'gpt-4': gpt_4,
+'gpt-4-turbo': gpt_4_turbo,
+
+# o1
+'o1': o1,
+'o1-mini': o1_mini,
+       
         
-        '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,
-        'llama3-70b-instruct': llama3_70b_instruct,
+### Meta ###
+"meta-ai": meta,
 
-        'codellama-34b-instruct': codellama_34b_instruct,
-        'codellama-70b-instruct': codellama_70b_instruct,
+# llama-2
+'llama-2-7b': llama_2_7b,
+'llama-2-13b': llama_2_13b,
 
+# llama-3
+'llama-3-8b': llama_3_8b,
+'llama-3-70b': llama_3_70b,
+        
+# llama-3.1
+'llama-3.1-8b': llama_3_1_8b,
+'llama-3.1-70b': llama_3_1_70b,
+'llama-3.1-405b': llama_3_1_405b,
+
+# 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,
+
+# llamaguard
+'llamaguard-7b': llamaguard_7b,
+'llamaguard-2-8b': llamaguard_2_8b,
+      
+        
+### Mistral ###
+'mistral-7b': mistral_7b,
+'mixtral-8x7b': mixtral_8x7b,
+'mixtral-8x22b': mixtral_8x22b,
+'mistral-nemo': mistral_nemo,
+'mistral-large': mistral_large,
+     
+     
+### NousResearch ###
+'mixtral-8x7b-dpo': mixtral_8x7b_dpo,
+'hermes-3': hermes_3,
+ 
+'yi-34b': yi_34b,   
+        
+        
+### Microsoft ###
+'phi-2': phi_2,
+'phi_3_medium-4k': phi_3_medium_4k,
+'phi-3.5-mini': phi_3_5_mini,
+
+### Google ###
+# gemini
+'gemini': gemini,
+'gemini-pro': gemini_pro,
+'gemini-flash': gemini_flash,
+        
+# gemma
+'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,
+'gemma-2-27b': gemma_2_27b,
+
+
+### Anthropic ###
+'claude-2.1': claude_2_1,
+
+# claude 3
+'claude-3-opus': claude_3_opus,
+'claude-3-sonnet': claude_3_sonnet,
+'claude-3-haiku': claude_3_haiku,
 
-        ### Mistral (Opensource) ###
-        'mixtral-8x7b': mixtral_8x7b,
-        'mistral-7b-v02': mistral_7b_v02,
+# claude 3.5
+'claude-3.5-sonnet': claude_3_5_sonnet,
+        
+        
+### Reka AI ###
+'reka-core': reka_core,
+      
         
+### Blackbox AI ###
+'blackboxai': blackboxai,
+'blackboxai-pro': blackboxai_pro,
         
-        ### NousResearch ###
-		'Nous-Hermes-2-Mixtral-8x7B-DPO': Nous_Hermes_2_Mixtral_8x7B_DPO,
+        
+### CohereForAI ###
+'command-r+': command_r_plus,
+        
+        
+### Databricks ###
+'dbrx-instruct': dbrx_instruct,
 
 
-		### 01-ai ###
-		'Yi-1.5-34B-Chat': Yi_1_5_34B_Chat,
-		
-		
-		### Microsoft ###
-		'Phi-3-mini-4k-instruct': Phi_3_mini_4k_instruct,
+### GigaChat ###
+'gigachat': gigachat,
+        
+        
+### iFlytek ###
+'sparkdesk-v1.1': sparkdesk_v1_1,
+        
+        
+### 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,
+        
+        
+### 01-ai ###
+'yi-1.5-9b': yi_1_5_9b,
+        
+        
+### Upstage ###
+'solar-mini': solar_1_mini,
+'solar-10-7b': solar_10_7b,
+'solar-pro': solar_pro,
+
 
+### Inflection ###
+'pi': pi,
 
-        ### Google ###
-        # gemini
-        'gemini': gemini,
-        'gemini-pro': gemini_pro,
+### DeepSeek ###
+'deepseek': deepseek,
+     
         
-        # gemma
-        'gemma-2-9b-it': gemma_2_9b_it,
-        'gemma-2-27b-it': gemma_2_27b_it,
+### Yorickvp ###
+'llava-13b': llava_13b,
 
 
-        ### Anthropic ###
-        'claude-v2': claude_v2,
-        'claude-3-opus': claude_3_opus,
-        'claude-3-sonnet': claude_3_sonnet,
-        'claude-3-haiku': claude_3_haiku,
+### WizardLM ###
+'wizardlm-2-7b': wizardlm_2_7b,
+'wizardlm-2-8x22b': wizardlm_2_8x22b,
+      
+        
+### OpenBMB ###
+'minicpm-llama-3-v2.5': minicpm_llama_3_v2_5,
+        
+        
+### Lzlv ###
+'lzlv-70b': lzlv_70b,
+     
+        
+### OpenChat ###
+'openchat-3.5': openchat_3_5,
+'openchat-3.6-8b': openchat_3_6_8b,
 
 
-        ### Reka AI ###
-        'reka': reka_core,
+### Phind ###
+'phind-codellama-34b-v2': phind_codellama_34b_v2,
+        
+        
+### Cognitive Computations ###
+'dolphin-2.9.1-llama-3-70b': dolphin_2_9_1_llama_3_70b,
+    
+        
+### x.ai ###
+'grok-2': grok_2,
+'grok-2-mini': grok_2_mini,
+        
+        
+### Perplexity AI ###
+'sonar-online': sonar_online,
+'sonar-chat': sonar_chat,
+
 
+### Gryphe ###   
+'mythomax-l2-13b': sonar_chat,
 
-        ### NVIDIA ###
-        'nemotron-4-340b-instruct': nemotron_4_340b_instruct,
-		
-		
-		### Blackbox ###
-		'blackbox': blackbox,
-		
-		
-		### CohereForAI ###
-        'command-r+': command_r_plus,
+   
+### Pawan ###   
+'cosmosrp': cosmosrp,
         
         
-        ### Databricks ###
-        'dbrx-instruct': dbrx_instruct,
+### TheBloke ###   
+'german-7b': german_7b,
+
+
+### Tinyllama ###   
+'tinyllama-1.1b': tinyllama_1_1b,
 
 
-	    ### GigaChat ###
-        'gigachat': gigachat,
+### Fblgit ###   
+'cybertron-7b': cybertron_7b,
         
         
-        # Other
-        'pi': pi,     
+### Nvidia ###   
+'nemotron-70b': nemotron_70b,
         
         
         
-        #############
-		### Image ###
-		#############
-		
-		### Stability AI ###
-        'sdxl': sdxl,
+#############
+### Image ###
+#############
+        
+### Stability AI ###
+'sdxl': sdxl,
+'sdxl-lora': sdxl_lora,
+'sdxl-turbo': sdxl_turbo,
+'sd-1.5': sd_1_5,
+'sd-3': sd_3,
+'sd-3.5': sd_3_5,
+        
         
-        ### AI Forever ###
-        'kandinsky-2.2': kandinsky_2_2,
+### Playground ###
+'playground-v2.5': playground_v2_5,
+
+
+### Flux AI ###
+'flux': flux,
+'flux-pro': flux_pro,
+'flux-realism': flux_realism,
+'flux-anime': flux_anime,
+'flux-3d': flux_3d,
+'flux-disney': flux_disney,
+'flux-pixel': flux_pixel,
+'flux-4o': flux_4o,
+'flux-schnell': flux_schnell,
+
+
+### OpenAI ###
+'dalle': dalle,
+'dalle-2': dalle_2,
+
+### Midjourney ###
+'midjourney': midjourney,
+
+
+### Other ###
+'emi': emi,
+'any-dark': any_dark,
     }
 
 _all_models = list(ModelUtils.convert.keys())