1 files changed, 451 insertions, 137 deletions

diff --git a/g4f/models.py b/g4f/models.py
index ddbeeddf..2940b96a 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -4,21 +4,23 @@ from dataclasses import dataclass
 
 from .Provider import IterListProvider, ProviderType
 from .Provider import (
-    AiChatOnline,
+    AIChatFree,
+    Airforce,
     Allyfy,
     Bing,
     Binjie,
     Bixin123,
     Blackbox,
-    ChatGot,
-    Chatgpt4Online,
+    ChatGpt,
     Chatgpt4o,
+    Chatgpt4Online,
+    ChatGptEs,
     ChatgptFree,
-    CodeNews,
+    ChatHub,
     DDG,
     DeepInfra,
+    DeepInfraChat,
     DeepInfraImage,
-    FluxAirforce,
     Free2GPT,
     FreeChatgpt,
     FreeGpt,
@@ -26,10 +28,12 @@ from .Provider import (
     Gemini,
     GeminiPro,
     GigaChat,
+    GPROChat,
     HuggingChat,
     HuggingFace,
     Koala,
     Liaobots,
+    LiteIcoding,
     MagickPen,
     MetaAI,
     Nexra,
@@ -40,9 +44,7 @@ from .Provider import (
     Reka,
     Replicate,
     ReplicateHome,
-    Snova,
     TeachAnything,
-    TwitterBio,
     Upstage,
     You,
 )
@@ -75,7 +77,6 @@ default = Model(
         FreeChatgpt,
         HuggingChat,
         Pizzagpt,
-        ChatgptFree,
         ReplicateHome,
         Upstage,
         Blackbox,
@@ -83,6 +84,8 @@ default = Model(
         Binjie,
         Free2GPT,
         MagickPen,
+        DeepInfraChat,
+        LiteIcoding,
     ])
 )
 
@@ -95,9 +98,7 @@ default = Model(
 gpt_3 = Model(
     name          = 'gpt-3',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([
-        Nexra,
-    ])
+    best_provider = Nexra
 )
 
 # gpt-3.5
@@ -105,7 +106,7 @@ gpt_35_turbo = Model(
     name          = 'gpt-3.5-turbo',
     base_provider = 'OpenAI',
     best_provider = IterListProvider([
-        Allyfy, TwitterBio, Nexra, Bixin123, CodeNews,
+        Allyfy, Nexra, Bixin123, Airforce,
     ])
 )
 
@@ -114,7 +115,8 @@ gpt_4o = Model(
     name          = 'gpt-4o',
     base_provider = 'OpenAI',
     best_provider = IterListProvider([
-        Liaobots, Chatgpt4o, OpenaiChat,
+        Liaobots, Nexra, Airforce, Chatgpt4o, ChatGptEs,
+        OpenaiChat
     ])
 )
 
@@ -122,8 +124,8 @@ 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, ChatGptEs, You, FreeNetfly, Pizzagpt, LiteIcoding, MagickPen, Liaobots, Airforce, ChatgptFree, Koala,
+        OpenaiChat, ChatGpt
     ])
 )
 
@@ -131,7 +133,7 @@ gpt_4_turbo = Model(
     name          = 'gpt-4-turbo',
     base_provider = 'OpenAI',
     best_provider = IterListProvider([
-        Nexra, Bixin123, Liaobots, Bing
+        Nexra, Bixin123, Liaobots, Airforce, Bing
     ])
 )
 
@@ -139,11 +141,13 @@ gpt_4 = Model(
     name          = 'gpt-4',
     base_provider = 'OpenAI',
     best_provider = IterListProvider([
-        Chatgpt4Online, Nexra, Binjie, Bing,
-        gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider
+        Nexra, Binjie, Airforce,
+        gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider,
+        Chatgpt4Online, Bing, OpenaiChat,
     ])
 )
 
+
 ### GigaChat ###
 gigachat = Model(
     name          = 'GigaChat:latest',
@@ -159,136 +163,224 @@ meta = Model(
     best_provider = MetaAI
 )
 
+# llama 2
+llama_2_13b = Model(
+    name          = "llama-2-13b",
+    base_provider = "Meta Llama",
+    best_provider = Airforce
+)
+
+# llama 3
 llama_3_8b = Model(
     name          = "llama-3-8b",
-    base_provider = "Meta",
-    best_provider = IterListProvider([DeepInfra, Replicate])
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([Airforce, DeepInfra, Replicate])
 )
 
 llama_3_70b = Model(
     name          = "llama-3-70b",
-    base_provider = "Meta",
-    best_provider = IterListProvider([ReplicateHome, DeepInfra, PerplexityLabs, Replicate])
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate])
+)
+
+llama_3 = Model(
+    name          = "llama-3",
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([llama_3_8b.best_provider, llama_3_70b.best_provider])
 )
 
+# llama 3.1
 llama_3_1_8b = Model(
     name          = "llama-3.1-8b",
-    base_provider = "Meta",
-    best_provider = IterListProvider([Blackbox])
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, 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])
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, Airforce, HuggingFace, PerplexityLabs])
 )
 
 llama_3_1_405b = Model(
     name          = "llama-3.1-405b",
-    base_provider = "Meta",
-    best_provider = IterListProvider([HuggingChat, Blackbox, HuggingFace])
+    base_provider = "Meta Llama",
+    best_provider = IterListProvider([Blackbox, DeepInfraChat, 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,])
 )
 
+
 ### Mistral ###
+mistral_7b = Model(
+    name          = "mistral-7b",
+    base_provider = "Mistral",
+    best_provider = IterListProvider([HuggingChat, DeepInfraChat, Airforce, HuggingFace, DeepInfra])
+)
+
 mixtral_8x7b = Model(
     name          = "mixtral-8x7b",
     base_provider = "Mistral",
-    best_provider = IterListProvider([HuggingChat, DDG, ReplicateHome, TwitterBio, DeepInfra, HuggingFace,])
+    best_provider = IterListProvider([DDG, ReplicateHome, DeepInfraChat, ChatHub, Airforce, DeepInfra])
 )
 
-mistral_7b = Model(
-    name          = "mistral-7b",
+mixtral_8x22b = Model(
+    name          = "mixtral-8x22b",
     base_provider = "Mistral",
-    best_provider = IterListProvider([HuggingChat, HuggingFace, DeepInfra])
+    best_provider = IterListProvider([DeepInfraChat, Airforce])
 )
 
-### 01-ai ###
-yi_1_5_34b = Model(
-    name          = "yi-1.5-34b",
-    base_provider = "01-ai",
+mistral_nemo = Model(
+    name          = "mistral-nemo",
+    base_provider = "Mistral",
+    best_provider = IterListProvider([HuggingChat, HuggingFace])
+)
+
+
+### NousResearch ###
+mixtral_8x7b_dpo = Model(
+    name          = "mixtral-8x7b-dpo",
+    base_provider = "NousResearch",
+    best_provider = Airforce
+)
+
+hermes_3 = Model(
+    name          = "hermes-3",
+    base_provider = "NousResearch",
     best_provider = IterListProvider([HuggingChat, HuggingFace])
 )
 
 
 ### Microsoft ###
-phi_3_mini_4k = Model(
-    name          = "phi-3-mini-4k",
+phi_3_medium_4k = Model(
+    name          = "phi-3-medium-4k",
     base_provider = "Microsoft",
-    best_provider = IterListProvider([HuggingFace, HuggingChat])
+    best_provider = DeepInfraChat
 )
 
+phi_3_5_mini = Model(
+    name          = "phi-3.5-mini",
+    base_provider = "Microsoft",
+    best_provider = IterListProvider([HuggingChat, HuggingFace])
+)
 
-### Google ###
+### Google DeepMind ###
 # gemini
+gemini_pro = Model(
+    name          = 'gemini-pro',
+    base_provider = 'Google DeepMind',
+    best_provider = IterListProvider([GeminiPro, LiteIcoding, Blackbox, AIChatFree, GPROChat, Nexra, Liaobots, Airforce])
+)
+
+gemini_flash = Model(
+    name          = 'gemini-flash',
+    base_provider = 'Google DeepMind',
+    best_provider = IterListProvider([Blackbox, Liaobots, Airforce])
+)
+
 gemini = Model(
     name          = 'gemini',
-    base_provider = 'Google',
-    best_provider = Gemini
+    base_provider = 'Google DeepMind',
+    best_provider = IterListProvider([Gemini, gemini_flash.best_provider, gemini_pro.best_provider])
 )
 
-gemini_pro = Model(
-    name          = 'gemini-pro',
+# gemma
+gemma_2b_9b = Model(
+    name          = 'gemma-2b-9b',
     base_provider = 'Google',
-    best_provider = IterListProvider([GeminiPro, ChatGot, Liaobots])
+    best_provider = Airforce
 )
 
-gemini_flash = Model(
-    name          = 'gemini-flash',
+gemma_2b_27b = Model(
+    name          = 'gemma-2b-27b',
     base_provider = 'Google',
-    best_provider = IterListProvider([Liaobots, Blackbox])
+    best_provider = IterListProvider([DeepInfraChat, Airforce])
 )
 
-# gemma
 gemma_2b = Model(
     name          = 'gemma-2b',
     base_provider = 'Google',
-    best_provider = IterListProvider([ReplicateHome])
+    best_provider = IterListProvider([
+        ReplicateHome, Airforce,
+        gemma_2b_9b.best_provider, gemma_2b_27b.best_provider,
+   ])
 )
 
+gemma_2 = Model(
+    name          = 'gemma-2',
+    base_provider = 'Google',
+    best_provider = ChatHub
+)
+
+
 ### Anthropic ###
 claude_2 = Model(
     name          = 'claude-2',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([You])
+    best_provider = You
 )
 
 claude_2_0 = Model(
     name          = 'claude-2.0',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([Liaobots])
+    best_provider = Liaobots
 )
 
 claude_2_1 = Model(
     name          = 'claude-2.1',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([Liaobots])
+    best_provider = Liaobots
 )
 
+# claude 3
 claude_3_opus = Model(
     name          = 'claude-3-opus',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([Liaobots])
+    best_provider = Liaobots
 )
 
 claude_3_sonnet = Model(
     name          = 'claude-3-sonnet',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([Liaobots])
+    best_provider = Liaobots
+)
+
+claude_3_haiku = Model(
+    name          = 'claude-3-haiku',
+    base_provider = 'Anthropic',
+    best_provider = IterListProvider([DDG, Liaobots])
 )
 
+claude_3 = Model(
+    name          = 'claude-3',
+    base_provider = 'Anthropic',
+    best_provider = IterListProvider([
+        claude_3_opus.best_provider, claude_3_sonnet.best_provider, claude_3_haiku.best_provider
+   ])
+)
+
+# claude 3.5
 claude_3_5_sonnet = Model(
-    name          = 'claude-3-5-sonnet',
+    name          = 'claude-3.5-sonnet',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([Liaobots])
+    best_provider = IterListProvider([Blackbox, Liaobots])
 )
 
-claude_3_haiku = Model(
-    name          = 'claude-3-haiku',
+claude_3_5 = Model(
+    name          = 'claude-3.5',
     base_provider = 'Anthropic',
-    best_provider = IterListProvider([DDG, Liaobots])
+    best_provider = IterListProvider([
+        LiteIcoding,
+        claude_3_5_sonnet.best_provider
+   ])
 )
 
 
+
 ### Reka AI ###
 reka_core = Model(
     name = 'reka-core',
@@ -297,10 +389,10 @@ reka_core = Model(
 )
 
 
-### Blackbox ###
+### Blackbox AI ###
 blackbox = Model(
     name = 'blackbox',
-    base_provider = 'Blackbox',
+    base_provider = 'Blackbox AI',
     best_provider = Blackbox
 )
 
@@ -309,7 +401,7 @@ blackbox = Model(
 dbrx_instruct = Model(
     name = 'dbrx-instruct',
     base_provider = 'Databricks',
-    best_provider = IterListProvider([DeepInfra])
+    best_provider = IterListProvider([Airforce, DeepInfra])
 )
 
 
@@ -317,7 +409,7 @@ dbrx_instruct = Model(
 command_r_plus = Model(
     name = 'command-r-plus',
     base_provider = 'CohereForAI',
-    best_provider = IterListProvider([HuggingChat])
+    best_provider = HuggingChat
 )
 
 
@@ -325,20 +417,45 @@ 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 ###
 qwen_1_5_14b = Model(
     name = 'qwen-1.5-14b',
     base_provider = 'Qwen',
-    best_provider = IterListProvider([FreeChatgpt])
+    best_provider = FreeChatgpt
+)
+
+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_2_72b = Model(
+    name = 'qwen-2-72b',
+    base_provider = 'Qwen',
+    best_provider = IterListProvider([DeepInfraChat, HuggingChat, Airforce, HuggingFace])
 )
 
 qwen_turbo = Model(
     name = 'qwen-turbo',
     base_provider = 'Qwen',
-    best_provider = IterListProvider([Bixin123])
+    best_provider = Bixin123
+)
+
+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, qwen_turbo.best_provider])
 )
 
 
@@ -346,76 +463,165 @@ qwen_turbo = Model(
 glm_3_6b = Model(
     name = 'glm-3-6b',
     base_provider = 'Zhipu AI',
-    best_provider = IterListProvider([FreeChatgpt])
+    best_provider = FreeChatgpt
 )
 
 glm_4_9b = Model(
     name = 'glm-4-9B',
     base_provider = 'Zhipu AI',
-    best_provider = IterListProvider([FreeChatgpt])
+    best_provider = FreeChatgpt
 )
 
 glm_4 = Model(
     name = 'glm-4',
     base_provider = 'Zhipu AI',
-    best_provider = IterListProvider([CodeNews, glm_4_9b.best_provider,])
+    best_provider = IterListProvider([
+        glm_3_6b.best_provider, glm_4_9b.best_provider
+    ])
 )
 
+
 ### 01-ai ###
 yi_1_5_9b = Model(
     name = 'yi-1.5-9b',
     base_provider = '01-ai',
-    best_provider = IterListProvider([FreeChatgpt])
+    best_provider = FreeChatgpt
+)
+
+yi_34b = Model(
+    name = 'yi-34b',
+    base_provider = '01-ai',
+    best_provider = Airforce
 )
 
 
-### Pi ###
+### Upstage ###
 solar_1_mini = Model(
     name = 'solar-1-mini',
     base_provider = 'Upstage',
-    best_provider = IterListProvider([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
 )
 
-### Pi ###
+
+### Inflection ###
 pi = Model(
     name = 'pi',
-    base_provider = 'inflection',
+    base_provider = 'Inflection',
     best_provider = Pi
 )
 
-### SambaNova ###
-samba_coe_v0_1 = Model(
-    name = 'samba-coe-v0.1',
-    base_provider = 'SambaNova',
-    best_provider = Snova
+### DeepSeek ###
+deepseek = Model(
+    name = 'deepseek',
+    base_provider = 'DeepSeek',
+    best_provider = Airforce
 )
 
-### Trong-Hieu Nguyen-Mau ###
-v1olet_merged_7b = Model(
-    name = 'v1olet-merged-7b',
-    base_provider = 'Trong-Hieu Nguyen-Mau',
-    best_provider = Snova
+### WizardLM ###
+wizardlm_2_7b = Model(
+    name = 'wizardlm-2-7b',
+    base_provider = 'WizardLM',
+    best_provider = DeepInfraChat
 )
 
-### Macadeliccc ###
-westlake_7b_v2 = Model(
-    name = 'westlake-7b-v2',
-    base_provider = 'Macadeliccc',
-    best_provider = Snova
+wizardlm_2_8x22b = Model(
+    name = 'wizardlm-2-8x22b',
+    base_provider = 'WizardLM',
+    best_provider = IterListProvider([DeepInfraChat, Airforce])
 )
 
-### CookinAI ###
-donutlm_v1 = Model(
-    name = 'donutlm-v1',
-    base_provider = 'CookinAI',
-    best_provider = Snova
+### Together ###
+sh_n_7b = Model(
+    name = 'sh-n-7b',
+    base_provider = 'Together',
+    best_provider = Airforce
 )
 
-### DeepSeek ###
-deepseek = Model(
-    name = 'deepseek',
-    base_provider = 'DeepSeek',
-    best_provider = CodeNews
+
+### 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_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
 )
 
 
@@ -428,7 +634,7 @@ deepseek = Model(
 sdxl = Model(
     name = 'sdxl',
     base_provider = 'Stability AI',
-    best_provider = IterListProvider([ReplicateHome, DeepInfraImage])
+    best_provider = IterListProvider([ReplicateHome, Nexra, DeepInfraImage])
     
 )
 
@@ -439,10 +645,11 @@ sd_3 = Model(
     
 )
 
+
 ### Playground ###
 playground_v2_5 = Model(
     name = 'playground-v2.5',
-    base_provider = 'Stability AI',
+    base_provider = 'Playground AI',
     best_provider = IterListProvider([ReplicateHome])
     
 )
@@ -451,43 +658,78 @@ playground_v2_5 = Model(
 flux = Model(
     name = 'flux',
     base_provider = 'Flux AI',
-    best_provider = IterListProvider([FluxAirforce])
+    best_provider = IterListProvider([Airforce, Blackbox])
     
 )
 
 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_4o = Model(
+    name = 'flux-4o',
+    base_provider = 'Flux AI',
+    best_provider = IterListProvider([Airforce])
     
 )
 
+flux_schnell = Model(
+    name = 'flux-schnell',
+    base_provider = 'Flux AI',
+    best_provider = IterListProvider([ReplicateHome])
+    
+)
+
+
 ### ###
+dalle_2 = Model(
+    name = 'dalle-2',
+    base_provider = '',
+    best_provider = IterListProvider([Nexra])
+    
+)
+dalle_3 = Model(
+    name = 'dalle-3',
+    base_provider = '',
+    best_provider = IterListProvider([Airforce])
+    
+)
+
 dalle = Model(
     name = 'dalle',
     base_provider = '',
-    best_provider = IterListProvider([Nexra])
+    best_provider = IterListProvider([Nexra, dalle_2.best_provider, dalle_3.best_provider])
     
 )
 
@@ -498,6 +740,7 @@ dalle_mini = Model(
     
 )
 
+### Other ###
 emi = Model(
     name = 'emi',
     base_provider = '',
@@ -505,6 +748,20 @@ emi = Model(
     
 )
 
+any_dark = Model(
+    name = 'any-dark',
+    base_provider = '',
+    best_provider = IterListProvider([Airforce])
+    
+)
+
+prodia = Model(
+    name = 'prodia',
+    base_provider = '',
+    best_provider = IterListProvider([Nexra])
+    
+)
+
 class ModelUtils:
     """
     Utility class for mapping string identifiers to Model instances.
@@ -526,37 +783,47 @@ class ModelUtils:
 'gpt-3.5-turbo': gpt_35_turbo,
 
 # gpt-4
-'gpt-4o'         : gpt_4o,
-'gpt-4o-mini'    : gpt_4o_mini,
-'gpt-4'          : gpt_4,
-'gpt-4-turbo'    : gpt_4_turbo,
-        
+'gpt-4o': gpt_4o,
+'gpt-4o-mini': gpt_4o_mini,
+'gpt-4': gpt_4,
+'gpt-4-turbo': gpt_4_turbo,
+       
         
 ### Meta ###
 "meta-ai": meta,
 
+# llama-2
+'llama-2-13b': llama_2_13b,
+
 # llama-3
+'llama-3': llama_3,
 'llama-3-8b': llama_3_8b,
 'llama-3-70b': llama_3_70b,
         
 # llama-3.1
+'llama-3.1': 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,
-        
+      
         
 ### 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,
+'mistral-nemo': mistral_nemo,
+     
+     
+### NousResearch ###
+'mixtral-8x7b-dpo': mixtral_8x7b_dpo,
+'hermes-3': hermes_3,
+ 
+'yi-34b': yi_34b,   
         
         
 ### Microsoft ###
-'phi-3-mini-4k': phi_3_mini_4k,
-
+'phi_3_medium-4k': phi_3_medium_4k,
+'phi-3.5-mini': phi_3_5_mini,
 
 ### Google ###
 # gemini
@@ -566,24 +833,32 @@ class ModelUtils:
         
 # gemma
 'gemma-2b': gemma_2b,
+'gemma-2b-9b': gemma_2b_9b,
+'gemma-2b-27b': gemma_2b_27b,
+'gemma-2': gemma_2,
 
 
 ### Anthropic ###
 'claude-2': claude_2,
 'claude-2.0': claude_2_0,
 'claude-2.1': claude_2_1,
-        
+
+# claude 3
+'claude-3': claude_3,
 '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
+'claude-3.5': claude_3_5,
+'claude-3.5-sonnet': claude_3_5_sonnet,
         
         
 ### Reka AI ###
 'reka-core': reka_core,
       
         
-### Blackbox ###
+### Blackbox AI ###
 'blackbox': blackbox,
         
         
@@ -604,7 +879,11 @@ class ModelUtils:
         
         
 ### Qwen ###
+'qwen': 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,
         
         
@@ -620,29 +899,57 @@ class ModelUtils:
         
 ### Upstage ###
 'solar-1-mini': solar_1_mini,
+'solar-10-7b': solar_10_7b,
+'solar-pro': solar_pro,
 
 
-### Pi ###
+### Inflection ###
 'pi': pi,
 
+### DeepSeek ###
+'deepseek': deepseek,
 
-### SambaNova ###
-'samba-coe-v0.1': samba_coe_v0_1,
-
-
-### Trong-Hieu Nguyen-Mau ###
-'v1olet-merged-7b': v1olet_merged_7b,
 
+### Together ###
+'sh-n-7b': sh_n_7b,
+      
+        
+### Yorickvp ###
+'llava-13b': llava_13b,
 
-### Macadeliccc ###
-'westlake-7b-v2': westlake_7b_v2,
 
+### 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-3.6-8b': openchat_3_6_8b,
 
-### CookinAI ###
-'donutlm-v1': donutlm_v1,
 
-### DeepSeek ###
-'deepseek': deepseek,
+### 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,
         
         
         
@@ -665,12 +972,19 @@ class ModelUtils:
 'flux-anime': flux_anime,
 'flux-3d': flux_3d,
 'flux-disney': flux_disney,
+'flux-pixel': flux_pixel,
+'flux-4o': flux_4o,
+'flux-schnell': flux_schnell,
 
 
 ###  ###
 'dalle': dalle,
+'dalle-2': dalle_2,
+'dalle-3': dalle_3,
 'dalle-mini': dalle_mini,
 'emi': emi,
+'any-dark': any_dark,
+'prodia': prodia,
     }
 
 _all_models = list(ModelUtils.convert.keys())