2 files changed, 69 insertions, 436 deletions

diff --git a/g4f/Provider/airforce/AirforceChat.py b/g4f/Provider/airforce/AirforceChat.py
index 8affbe5c..63a0460f 100644
--- a/g4f/Provider/airforce/AirforceChat.py
+++ b/g4f/Provider/airforce/AirforceChat.py
@@ -3,6 +3,7 @@ import re
 from aiohttp import ClientSession
 import json
 from typing import List
+import requests
 
 from ...typing import AsyncResult, Messages
 from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
@@ -51,258 +52,50 @@ class AirforceChat(AsyncGeneratorProvider, ProviderModelMixin):
     supports_system_message = True
     supports_message_history = True
 
-    default_model = 'llama-3-70b-chat'
-    text_models = [
-        # anthropic
-        'claude-3-haiku-20240307', 
-        'claude-3-sonnet-20240229', 
-        'claude-3-5-sonnet-20240620', 
-        'claude-3-5-sonnet-20241022', 
-        'claude-3-opus-20240229', 
-        
-        # openai
-        'chatgpt-4o-latest',
-        'gpt-4',
-        'gpt-4-turbo',
-        'gpt-4o-2024-05-13',
-        'gpt-4o-mini-2024-07-18',
-        'gpt-4o-mini',
-        'gpt-4o-2024-08-06',
-        'gpt-3.5-turbo',
-        'gpt-3.5-turbo-0125',
-        'gpt-3.5-turbo-1106',
-        'gpt-4o',
-        'gpt-4-turbo-2024-04-09',
-        'gpt-4-0125-preview',
-        'gpt-4-1106-preview',
-        
-        # meta-llama
-        default_model,
-        'llama-3-70b-chat-turbo',
-        'llama-3-8b-chat',
-        'llama-3-8b-chat-turbo',
-        'llama-3-70b-chat-lite',
-        'llama-3-8b-chat-lite',
-        'llama-2-13b-chat',
-        'llama-3.1-405b-turbo',
-        'llama-3.1-70b-turbo',
-        'llama-3.1-8b-turbo',
-        'LlamaGuard-2-8b',
-        'llamaguard-7b',
-        'Llama-Vision-Free',
-        'Llama-Guard-7b',
-        'Llama-3.2-90B-Vision-Instruct-Turbo',
-        'Meta-Llama-Guard-3-8B',
-        'Llama-3.2-11B-Vision-Instruct-Turbo',
-        'Llama-Guard-3-11B-Vision-Turbo',
-        'Llama-3.2-3B-Instruct-Turbo',
-        'Llama-3.2-1B-Instruct-Turbo',
-        'llama-2-7b-chat-int8',
-        'llama-2-7b-chat-fp16',
-        'Llama 3.1 405B Instruct',
-        'Llama 3.1 70B Instruct',
-        'Llama 3.1 8B Instruct',
-        
-        # mistral-ai
-        'Mixtral-8x7B-Instruct-v0.1',
-        'Mixtral-8x22B-Instruct-v0.1',
-        'Mistral-7B-Instruct-v0.1',
-        'Mistral-7B-Instruct-v0.2',
-        'Mistral-7B-Instruct-v0.3',
-        
-        # Gryphe
-        'MythoMax-L2-13b-Lite',
-        'MythoMax-L2-13b',
-        
-        # openchat
-        'openchat-3.5-0106',
-        
-        # qwen
-        #'Qwen1.5-72B-Chat', # Empty answer
-        #'Qwen1.5-110B-Chat', # Empty answer
-        'Qwen2-72B-Instruct',
-        'Qwen2.5-7B-Instruct-Turbo',
-        'Qwen2.5-72B-Instruct-Turbo',
-        
-        # google
-        'gemma-2b-it',
-        'gemma-2-9b-it',
-        'gemma-2-27b-it',
-        
-        # gemini
-        'gemini-1.5-flash',
-        'gemini-1.5-pro',
-        
-        # databricks
-        'dbrx-instruct',
-        
-        # deepseek-ai
-        'deepseek-coder-6.7b-base',
-        'deepseek-coder-6.7b-instruct',
-        'deepseek-math-7b-instruct',
-        
-        # NousResearch
-        'deepseek-math-7b-instruct',
-        'Nous-Hermes-2-Mixtral-8x7B-DPO',
-        'hermes-2-pro-mistral-7b',
-        
-        # teknium
-        'openhermes-2.5-mistral-7b',
-        
-        # microsoft
-        'WizardLM-2-8x22B',
-        'phi-2',
-        
-        # upstage
-        'SOLAR-10.7B-Instruct-v1.0',
-        
-        # pawan
-        'cosmosrp',
-        
-        # liquid
-        'lfm-40b-moe',
-        
-        # DiscoResearch
-        'discolm-german-7b-v1',
-        
-        # tiiuae
-        'falcon-7b-instruct',
-        
-        # defog
-        'sqlcoder-7b-2',
-        
-        # tinyllama
-        'tinyllama-1.1b-chat',
-        
-        # HuggingFaceH4
-        'zephyr-7b-beta',
-    ]
+    default_model = 'llama-3.1-70b-chat'
+    response = requests.get('https://api.airforce/models')
+    data = response.json()
+
+    text_models = [model['id'] for model in data['data']]
     
     models = [*text_models]
     
     model_aliases = {
-		# anthropic
-		"claude-3-haiku": "claude-3-haiku-20240307",
-		"claude-3-sonnet": "claude-3-sonnet-20240229",
-		"claude-3.5-sonnet": "claude-3-5-sonnet-20240620",
-		"claude-3.5-sonnet": "claude-3-5-sonnet-20241022",
-		"claude-3-opus": "claude-3-opus-20240229",
-
-		# openai
-		"gpt-4o": "chatgpt-4o-latest",
-		#"gpt-4": "gpt-4",
-		#"gpt-4-turbo": "gpt-4-turbo",
-		"gpt-4o": "gpt-4o-2024-05-13",
-		"gpt-4o-mini": "gpt-4o-mini-2024-07-18",
-		#"gpt-4o-mini": "gpt-4o-mini",
-		"gpt-4o": "gpt-4o-2024-08-06",
-		"gpt-3.5-turbo": "gpt-3.5-turbo",
-		"gpt-3.5-turbo": "gpt-3.5-turbo-0125",
-		"gpt-3.5-turbo": "gpt-3.5-turbo-1106",
-		#"gpt-4o": "gpt-4o",
-		"gpt-4-turbo": "gpt-4-turbo-2024-04-09",
-		"gpt-4": "gpt-4-0125-preview",
-		"gpt-4": "gpt-4-1106-preview",
-
-		# meta-llama
-		"llama-3-70b": "llama-3-70b-chat",
-		"llama-3-8b": "llama-3-8b-chat",
-		"llama-3-8b": "llama-3-8b-chat-turbo",
-		"llama-3-70b": "llama-3-70b-chat-lite",
-		"llama-3-8b": "llama-3-8b-chat-lite",
-		"llama-2-13b": "llama-2-13b-chat",
-		"llama-3.1-405b": "llama-3.1-405b-turbo",
-		"llama-3.1-70b": "llama-3.1-70b-turbo",
-		"llama-3.1-8b": "llama-3.1-8b-turbo",
-		"llamaguard-2-8b": "LlamaGuard-2-8b",
-		"llamaguard-7b": "llamaguard-7b",
-		#"llama_vision_free": "Llama-Vision-Free", # Unknown
-		"llamaguard-7b": "Llama-Guard-7b",
-		"llama-3.2-90b": "Llama-3.2-90B-Vision-Instruct-Turbo",
-		"llamaguard-3-8b": "Meta-Llama-Guard-3-8B",
-		"llama-3.2-11b": "Llama-3.2-11B-Vision-Instruct-Turbo",
-		"llamaguard-3-11b": "Llama-Guard-3-11B-Vision-Turbo",
-		"llama-3.2-3b": "Llama-3.2-3B-Instruct-Turbo",
-		"llama-3.2-1b": "Llama-3.2-1B-Instruct-Turbo",
-		"llama-2-7b": "llama-2-7b-chat-int8",
-		"llama-2-7b": "llama-2-7b-chat-fp16",
-		"llama-3.1-405b": "Llama 3.1 405B Instruct",
-		"llama-3.1-70b": "Llama 3.1 70B Instruct",
-		"llama-3.1-8b": "Llama 3.1 8B Instruct",
-
-		# mistral-ai
-		"mixtral-8x7b": "Mixtral-8x7B-Instruct-v0.1",
-		"mixtral-8x22b": "Mixtral-8x22B-Instruct-v0.1",
-		"mixtral-8x7b": "Mistral-7B-Instruct-v0.1",
-		"mixtral-8x7b": "Mistral-7B-Instruct-v0.2",
-		"mixtral-8x7b": "Mistral-7B-Instruct-v0.3",
-
-		# Gryphe
-		"mythomax-13b": "MythoMax-L2-13b-Lite",
-		"mythomax-13b": "MythoMax-L2-13b",
-
 		# openchat
 		"openchat-3.5": "openchat-3.5-0106",
-
-		# qwen
-		#"qwen-1.5-72b": "Qwen1.5-72B-Chat", # Empty answer
-		#"qwen-1.5-110b": "Qwen1.5-110B-Chat", # Empty answer
-		"qwen-2-72b": "Qwen2-72B-Instruct",
-		"qwen-2-5-7b": "Qwen2.5-7B-Instruct-Turbo",
-		"qwen-2-5-72b": "Qwen2.5-72B-Instruct-Turbo",
-
-		# google
-		"gemma-2b": "gemma-2b-it",
-		"gemma-2-9b": "gemma-2-9b-it",
-		"gemma-2b-27b": "gemma-2-27b-it",
-
-		# gemini
-		"gemini-flash": "gemini-1.5-flash",
-		"gemini-pro": "gemini-1.5-pro",
-
-		# databricks
-		"dbrx-instruct": "dbrx-instruct",
-
+		
 		# deepseek-ai
-		#"deepseek-coder": "deepseek-coder-6.7b-base",
 		"deepseek-coder": "deepseek-coder-6.7b-instruct",
-		#"deepseek-math": "deepseek-math-7b-instruct",
-
+		
 		# NousResearch
-		#"deepseek-math": "deepseek-math-7b-instruct",
 		"hermes-2-dpo": "Nous-Hermes-2-Mixtral-8x7B-DPO",
-		"hermes-2": "hermes-2-pro-mistral-7b",
-
+		"hermes-2-pro": "hermes-2-pro-mistral-7b",
+		
 		# teknium
 		"openhermes-2.5": "openhermes-2.5-mistral-7b",
-
-		# microsoft
-		"wizardlm-2-8x22b": "WizardLM-2-8x22B",
-		#"phi-2": "phi-2",
-
-		# upstage
-		"solar-10-7b": "SOLAR-10.7B-Instruct-v1.0",
-
-		# pawan
-		#"cosmosrp": "cosmosrp",
-
+		
 		# liquid
 		"lfm-40b": "lfm-40b-moe",
-
+		
 		# DiscoResearch
 		"german-7b": "discolm-german-7b-v1",
-
-		# tiiuae
-		#"falcon-7b": "falcon-7b-instruct",
-
-		# defog
-		#"sqlcoder-7b": "sqlcoder-7b-2",
-
-		# tinyllama
-		#"tinyllama-1b": "tinyllama-1.1b-chat",
-
+			
+		# meta-llama
+		"llama-2-7b": "llama-2-7b-chat-int8",
+		"llama-2-7b": "llama-2-7b-chat-fp16",
+		"llama-3.1-70b": "llama-3.1-70b-chat",
+		"llama-3.1-8b": "llama-3.1-8b-chat",
+		"llama-3.1-70b": "llama-3.1-70b-turbo",
+		"llama-3.1-8b": "llama-3.1-8b-turbo",
+		
+		# inferless
+		"neural-7b": "neural-chat-7b-v3-1",
+		
 		# HuggingFaceH4
 		"zephyr-7b": "zephyr-7b-beta",
+		
+		# llmplayground.net
+		#"any-uncensored": "any-uncensored",	
     }
 
     @classmethod
diff --git a/g4f/models.py b/g4f/models.py
index 8788ab77..ec0ebd32 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -98,32 +98,32 @@ default = Model(
 gpt_35_turbo = Model(
     name          = 'gpt-3.5-turbo',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([DarkAI, Airforce, Liaobots, Allyfy])
+    best_provider = IterListProvider([DarkAI, Liaobots, Allyfy])
 )
 
 # gpt-4
 gpt_4o = Model(
     name          = 'gpt-4o',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([Blackbox, ChatGptEs, DarkAI, Airforce, ChatGpt, Liaobots, OpenaiChat])
+    best_provider = IterListProvider([Blackbox, ChatGptEs, DarkAI, ChatGpt, Airforce, Liaobots, OpenaiChat])
 )
 
 gpt_4o_mini = Model(
     name          = 'gpt-4o-mini',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, RubiksAI, Liaobots, ChatGpt, Airforce, OpenaiChat])
+    best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, ChatGpt, Airforce, RubiksAI, Liaobots, OpenaiChat])
 )
 
 gpt_4_turbo = Model(
     name          = 'gpt-4-turbo',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([Liaobots, Airforce, ChatGpt, Bing])
+    best_provider = IterListProvider([ChatGpt, Airforce, Liaobots, Bing])
 )
 
 gpt_4 = Model(
     name          = 'gpt-4',
     base_provider = 'OpenAI',
-    best_provider = IterListProvider([Chatgpt4Online, Ai4Chat, ChatGpt, Airforce, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
+    best_provider = IterListProvider([Chatgpt4Online, ChatGpt, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
 )
 
 # o1
@@ -161,24 +161,17 @@ llama_2_7b = Model(
     base_provider = "Meta Llama",
     best_provider = IterListProvider([Cloudflare, Airforce])
 )
-
-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 Llama",
-    best_provider = IterListProvider([Cloudflare, Airforce])
+    best_provider = IterListProvider([Cloudflare])
 )
 
 llama_3_70b = Model(
     name          = "llama-3-70b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([ReplicateHome, Airforce])
+    best_provider = IterListProvider([ReplicateHome])
 )
 
 # llama 3.1
@@ -191,84 +184,39 @@ llama_3_1_8b = Model(
 llama_3_1_70b = Model(
     name          = "llama-3.1-70b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([DDG, DeepInfraChat, Blackbox, TeachAnything, DarkAI, AiMathGPT, RubiksAI, Airforce, HuggingChat, HuggingFace, PerplexityLabs])
+    best_provider = IterListProvider([DDG, DeepInfraChat, Blackbox, TeachAnything, DarkAI, AiMathGPT, Airforce, RubiksAI, HuggingChat, HuggingFace, PerplexityLabs])
 )
 
 llama_3_1_405b = Model(
     name          = "llama-3.1-405b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([Blackbox, DarkAI, Airforce])
+    best_provider = IterListProvider([Blackbox, DarkAI])
 )
 
 # llama 3.2
 llama_3_2_1b = Model(
     name          = "llama-3.2-1b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([Cloudflare, Airforce])
-)
-
-llama_3_2_3b = Model(
-    name          = "llama-3.2-3b",
-    base_provider = "Meta Llama",
-    best_provider = IterListProvider([Airforce])
+    best_provider = IterListProvider([Cloudflare])
 )
 
 llama_3_2_11b = Model(
     name          = "llama-3.2-11b",
     base_provider = "Meta Llama",
-    best_provider = IterListProvider([HuggingChat, Airforce, HuggingFace])
-)
-
-llama_3_2_90b = Model(
-    name          = "llama-3.2-90b",
-    base_provider = "Meta Llama",
-    best_provider = IterListProvider([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
-)
-
-llamaguard_3_8b = Model(
-    name          = "llamaguard-3-8b",
-    base_provider = "Meta Llama",
-    best_provider = Airforce
-)
-
-llamaguard_3_11b = Model(
-    name          = "llamaguard-3-11b",
-    base_provider = "Meta Llama",
-    best_provider = Airforce
+    best_provider = IterListProvider([HuggingChat, HuggingFace])
 )
 
-
 ### Mistral ###
 mistral_7b = Model(
     name          = "mistral-7b",
     base_provider = "Mistral",
-    best_provider = IterListProvider([Free2GPT, Airforce])
+    best_provider = IterListProvider([Free2GPT])
 )
 
 mixtral_8x7b = Model(
     name          = "mixtral-8x7b",
     base_provider = "Mistral",
-    best_provider = IterListProvider([DDG, ReplicateHome, Airforce])
-)
-
-mixtral_8x22b = Model(
-    name          = "mixtral-8x22b",
-    base_provider = "Mistral",
-    best_provider = IterListProvider([Airforce])
+    best_provider = IterListProvider([DDG, ReplicateHome])
 )
 
 mistral_nemo = Model(
@@ -279,8 +227,8 @@ mistral_nemo = Model(
 
 
 ### NousResearch ###
-hermes_2 = Model(
-    name          = "hermes-2",
+hermes_2_pro = Model(
+    name          = "hermes-2-pro",
     base_provider = "NousResearch",
     best_provider = Airforce
 )
@@ -305,12 +253,6 @@ phi_2 = Model(
     best_provider = IterListProvider([Cloudflare, Airforce])
 )
 
-phi_3_medium_4k = Model(
-    name          = "phi-3-medium-4k",
-    base_provider = "Microsoft",
-    best_provider = None
-)
-
 phi_3_5_mini = Model(
     name          = "phi-3.5-mini",
     base_provider = "Microsoft",
@@ -322,13 +264,13 @@ phi_3_5_mini = Model(
 gemini_pro = Model(
     name          = 'gemini-pro',
     base_provider = 'Google DeepMind',
-    best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, FreeGpt, Airforce, Liaobots])
+    best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, FreeGpt, Liaobots])
 )
 
 gemini_flash = Model(
     name          = 'gemini-flash',
     base_provider = 'Google DeepMind',
-    best_provider = IterListProvider([Blackbox, GizAI, Airforce, Liaobots])
+    best_provider = IterListProvider([Blackbox, GizAI, Liaobots])
 )
 
 gemini = Model(
@@ -341,13 +283,7 @@ gemini = Model(
 gemma_2b = Model(
     name          = 'gemma-2b',
     base_provider = 'Google',
-    best_provider = IterListProvider([ReplicateHome, Airforce])
-)
-
-gemma_2b_27b = Model(
-    name          = 'gemma-2b-27b',
-    base_provider = 'Google',
-    best_provider = IterListProvider([Airforce])
+    best_provider = IterListProvider([ReplicateHome])
 )
 
 gemma_7b = Model(
@@ -356,13 +292,6 @@ gemma_7b = Model(
     best_provider = Cloudflare
 )
 
-# gemma 2
-gemma_2_9b = Model(
-    name          = 'gemma-2-9b',
-    base_provider = 'Google',
-    best_provider = Airforce
-)
-
 
 ### Anthropic ###
 claude_2_1 = Model(
@@ -419,15 +348,6 @@ blackboxai_pro = Model(
     best_provider = Blackbox
 )
 
-
-### Databricks ###
-dbrx_instruct = Model(
-    name = 'dbrx-instruct',
-    base_provider = 'Databricks',
-    best_provider = IterListProvider([Airforce])
-)
-
-
 ### CohereForAI ###
 command_r_plus = Model(
     name = 'command-r-plus',
@@ -466,28 +386,10 @@ qwen_1_5_14b = Model(
 qwen_2_72b = Model(
     name = 'qwen-2-72b',
     base_provider = 'Qwen',
-    best_provider = IterListProvider([DeepInfraChat, HuggingChat, Airforce, HuggingFace])
-)
-
-qwen_2_5_7b = Model(
-    name = 'qwen-2-5-7b',
-    base_provider = 'Qwen',
-    best_provider = Airforce
-)
-
-qwen_2_5_72b = Model(
-    name = 'qwen-2-5-72b',
-    base_provider = 'Qwen',
-    best_provider = Airforce
+    best_provider = IterListProvider([DeepInfraChat, HuggingChat, HuggingFace])
 )
 
 ### Upstage ###
-solar_10_7b = Model(
-    name = 'solar-10-7b',
-    base_provider = 'Upstage',
-    best_provider = Airforce
-)
-
 solar_mini = Model(
     name = 'solar-mini',
     base_provider = 'Upstage',
@@ -519,7 +421,7 @@ deepseek_coder = Model(
 wizardlm_2_8x22b = Model(
     name = 'wizardlm-2-8x22b',
     base_provider = 'WizardLM',
-    best_provider = IterListProvider([DeepInfraChat, Airforce])
+    best_provider = IterListProvider([DeepInfraChat])
 )
 
 ### Yorickvp ###
@@ -529,44 +431,11 @@ llava_13b = Model(
     best_provider = ReplicateHome
 )
 
-
-### OpenBMB ###
-minicpm_llama_3_v2_5 = Model(
-    name = 'minicpm-llama-3-v2.5',
-    base_provider = 'OpenBMB',
-    best_provider = None
-)
-
-
-### Lzlv ###
-lzlv_70b = Model(
-    name = 'lzlv-70b',
-    base_provider = 'Lzlv',
-    best_provider = None
-)
-
-
 ### OpenChat ###
-openchat_3_6_8b = Model(
-    name = 'openchat-3.6-8b',
+openchat_3_5 = Model(
+    name = 'openchat-3.5',
     base_provider = 'OpenChat',
-    best_provider = None
-)
-
-
-### Phind ###
-phind_codellama_34b_v2 = Model(
-    name = 'phind-codellama-34b-v2',
-    base_provider = 'Phind',
-    best_provider = None
-)
-
-
-### Cognitive Computations ###
-dolphin_2_9_1_llama_3_70b = Model(
-    name = 'dolphin-2.9.1-llama-3-70b',
-    base_provider = 'Cognitive Computations',
-    best_provider = None
+    best_provider = Airforce
 )
 
 
@@ -650,6 +519,13 @@ zephyr_7b = Model(
     best_provider = Airforce
 )
 
+### Inferless ### 
+neural_7b = Model(
+    name = 'neural-7b',
+    base_provider = 'inferless',
+    best_provider = Airforce
+)
+
 
 
 #############
@@ -660,7 +536,7 @@ zephyr_7b = Model(
 sdxl = Model(
     name = 'sdxl',
     base_provider = 'Stability AI',
-    best_provider = IterListProvider([ReplicateHome, Airforce])
+    best_provider = IterListProvider([ReplicateHome])
     
 )
 
@@ -740,7 +616,7 @@ flux_4o = Model(
 flux_schnell = Model(
     name = 'flux-schnell',
     base_provider = 'Flux AI',
-    best_provider = IterListProvider([ReplicateHome])
+    best_provider = ReplicateHome
     
 )
 
@@ -786,7 +662,6 @@ class ModelUtils:
 
 # llama-2
 'llama-2-7b': llama_2_7b,
-'llama-2-13b': llama_2_13b,
 
 # llama-3
 'llama-3-8b': llama_3_8b,
@@ -799,33 +674,23 @@ class ModelUtils:
 
 # 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,
-'llamaguard-3-8b': llamaguard_3_8b,
-'llamaguard-3-11b': llamaguard_3_11b,
-      
+   
         
 ### Mistral ###
 'mistral-7b': mistral_7b,
 'mixtral-8x7b': mixtral_8x7b,
-'mixtral-8x22b': mixtral_8x22b,
 'mistral-nemo': mistral_nemo,
      
      
 ### NousResearch ###
-'hermes-2': hermes_2,
+'hermes-2-pro': hermes_2_pro,
 'hermes-2-dpo': hermes_2_dpo,
 'hermes-3': hermes_3,
 
                 
 ### Microsoft ###
 'phi-2': phi_2,
-'phi_3_medium-4k': phi_3_medium_4k,
 'phi-3.5-mini': phi_3_5_mini,
 
 
@@ -837,12 +702,8 @@ class ModelUtils:
         
 # gemma
 'gemma-2b': gemma_2b,
-'gemma-2b-27b': gemma_2b_27b,
 'gemma-7b': gemma_7b,
 
-# gemma-2
-'gemma-2-9b': gemma_2_9b,
-
 
 ### Anthropic ###
 'claude-2.1': claude_2_1,
@@ -868,10 +729,6 @@ class ModelUtils:
 ### CohereForAI ###
 'command-r+': command_r_plus,
         
-        
-### Databricks ###
-'dbrx-instruct': dbrx_instruct,
-
 
 ### GigaChat ###
 'gigachat': gigachat,
@@ -887,14 +744,9 @@ class ModelUtils:
 
 # qwen 2
 'qwen-2-72b': qwen_2_72b,
-
-# qwen 2-5
-'qwen-2-5-7b': qwen_2_5_7b,
-'qwen-2-5-72b': qwen_2_5_72b,
-                      
+                  
         
 ### Upstage ###
-'solar-10-7b': solar_10_7b,
 'solar-mini': solar_mini,
 'solar-pro': solar_pro,
 
@@ -913,27 +765,11 @@ class ModelUtils:
 
 ### WizardLM ###
 '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,
-
-
-### 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,
-    
+'openchat-3.5': openchat_3_5,
+       
         
 ### x.ai ###
 'grok-2': grok_2,
@@ -972,6 +808,10 @@ class ModelUtils:
 
 ### HuggingFaceH4 ###   
 'zephyr-7b': zephyr_7b,
+
+
+### Inferless ###   
+'neural-7b': neural_7b,