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-rw-r--r--g4f/models.py1206
1 files changed, 1021 insertions, 185 deletions
diff --git a/g4f/models.py b/g4f/models.py
index 78e1d74e..32a12d10 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -4,32 +4,67 @@ from dataclasses import dataclass
from .Provider import IterListProvider, ProviderType
from .Provider import (
- Aichatos,
+ Ai4Chat,
+ AIChatFree,
+ AiMathGPT,
+ Airforce,
+ Allyfy,
+ AmigoChat,
Bing,
Blackbox,
- ChatgptAi,
- ChatgptNext,
- Cnote,
+ ChatGpt,
+ Chatgpt4Online,
+ ChatGptEs,
+ ChatgptFree,
+ ChatHub,
+ ChatifyAI,
+ Cloudflare,
+ DarkAI,
+ DDG,
DeepInfra,
- Feedough,
+ 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,
- Replicate,
Pi,
- Vercel,
- You,
- Reka
+ Pizzagpt,
+ Reka,
+ Replicate,
+ ReplicateHome,
+ RubiksAI,
+ TeachAnything,
+ Upstage,
)
+
@dataclass(unsafe_hash=True)
class Model:
"""
@@ -49,224 +84,811 @@ class Model:
"""Returns a list of all model names."""
return _all_models
+
+### Default ###
default = Model(
name = "",
base_provider = "",
best_provider = IterListProvider([
- Bing,
- ChatgptAi,
- You,
- OpenaiChat,
+ DDG,
+ FreeChatgpt,
+ HuggingChat,
+ Pizzagpt,
+ ReplicateHome,
+ Upstage,
+ Blackbox,
+ Free2GPT,
+ MagickPen,
+ DeepInfraChat,
+ Airforce,
+ ChatHub,
+ ChatGptEs,
+ ChatHub,
+ AmigoChat,
+ ChatifyAI,
+ Cloudflare,
+ Editee,
+ AiMathGPT,
])
)
-# 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,
- ChatgptNext,
- OpenaiChat,
- Koala,
- ])
+
+
+############
+### Text ###
+############
+
+### OpenAI ###
+# gpt-3
+gpt_3 = Model(
+ name = 'gpt-3',
+ base_provider = 'OpenAI',
+ best_provider = NexraChatGPT
)
-# GPT-3.5 / GPT-4
+# gpt-3.5
gpt_35_turbo = Model(
name = 'gpt-3.5-turbo',
- base_provider = 'openai',
- best_provider = IterListProvider([
- FreeGpt,
- You,
- ChatgptNext,
- Koala,
- OpenaiChat,
- Aichatos,
- Cnote,
- Feedough,
- ])
-)
-
-gpt_4 = Model(
- name = 'gpt-4',
- base_provider = 'openai',
- best_provider = IterListProvider([
- Bing, Liaobots,
- ])
+ base_provider = 'OpenAI',
+ best_provider = IterListProvider([Allyfy, NexraChatGPT, Airforce, DarkAI, Liaobots])
)
+# gpt-4
gpt_4o = Model(
name = 'gpt-4o',
- base_provider = 'openai',
- best_provider = IterListProvider([
- You, Liaobots
- ])
+ base_provider = 'OpenAI',
+ best_provider = IterListProvider([NexraChatGPT, Blackbox, ChatGptEs, AmigoChat, DarkAI, Editee, GizAI, Airforce, Liaobots, OpenaiChat])
+)
+
+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_4_turbo = Model(
name = 'gpt-4-turbo',
- base_provider = 'openai',
- best_provider = Bing
+ base_provider = 'OpenAI',
+ best_provider = IterListProvider([Liaobots, Airforce, Bing])
)
+gpt_4 = Model(
+ name = 'gpt-4',
+ 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])
+)
+
+# o1
+o1 = Model(
+ name = 'o1',
+ base_provider = 'OpenAI',
+ best_provider = AmigoChat
+)
+
+o1_mini = Model(
+ name = 'o1-mini',
+ base_provider = 'OpenAI',
+ best_provider = IterListProvider([AmigoChat, GizAI])
+)
+
+
+### GigaChat ###
gigachat = Model(
name = 'GigaChat:latest',
base_provider = 'gigachat',
best_provider = GigaChat
)
+
+### Meta ###
meta = Model(
- name = "meta",
- base_provider = "meta",
+ name = "meta-ai",
+ base_provider = "Meta",
best_provider = MetaAI
)
-llama3_8b_instruct = Model(
- name = "meta-llama/Meta-Llama-3-8B-Instruct",
- base_provider = "meta",
- best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
+# llama 2
+llama_2_7b = Model(
+ name = "llama-2-7b",
+ base_provider = "Meta Llama",
+ best_provider = Cloudflare
)
-llama3_70b_instruct = Model(
- name = "meta-llama/Meta-Llama-3-70B-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
)
-codellama_34b_instruct = Model(
- name = "codellama/CodeLlama-34b-Instruct-hf",
- base_provider = "meta",
- best_provider = HuggingChat
+# llama 3
+llama_3_8b = Model(
+ name = "llama-3-8b",
+ base_provider = "Meta Llama",
+ best_provider = IterListProvider([Cloudflare, Airforce, DeepInfra, Replicate])
)
-codellama_70b_instruct = Model(
- name = "codellama/CodeLlama-70b-Instruct-hf",
- base_provider = "meta",
- best_provider = IterListProvider([DeepInfra, PerplexityLabs])
+llama_3_70b = Model(
+ name = "llama-3-70b",
+ base_provider = "Meta Llama",
+ best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate])
)
-# Mistral
-mixtral_8x7b = Model(
- name = "mistralai/Mixtral-8x7B-Instruct-v0.1",
- base_provider = "huggingface",
- best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs])
+# 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 = "mistralai/Mistral-7B-Instruct-v0.1",
- base_provider = "huggingface",
- best_provider = IterListProvider([HuggingChat, HuggingFace, PerplexityLabs])
+ name = "mistral-7b",
+ base_provider = "Mistral",
+ best_provider = IterListProvider([DeepInfraChat, Cloudflare, Airforce, DeepInfra])
)
-mistral_7b_v02 = Model(
- name = "mistralai/Mistral-7B-Instruct-v0.2",
- base_provider = "huggingface",
- best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs])
+mixtral_8x7b = Model(
+ name = "mixtral-8x7b",
+ base_provider = "Mistral",
+ best_provider = IterListProvider([DDG, ReplicateHome, DeepInfraChat, ChatHub, Airforce, DeepInfra])
+)
+
+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 ###
+mixtral_8x7b_dpo = Model(
+ name = "mixtral-8x7b-dpo",
+ base_provider = "NousResearch",
+ best_provider = Airforce
+)
+
+yi_34b = Model(
+ name = "yi-34b",
+ base_provider = "NousResearch",
+ best_provider = Airforce
+)
+
+hermes_3 = Model(
+ name = "hermes-3",
+ base_provider = "NousResearch",
+ best_provider = IterListProvider([HuggingChat, HuggingFace])
+)
+
+
+### 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",
+ best_provider = DeepInfraChat
+)
+
+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])
)
-# Bard
gemini = Model(
name = 'gemini',
- base_provider = 'google',
+ base_provider = 'Google DeepMind',
best_provider = Gemini
)
-claude_v2 = Model(
- name = 'claude-v2',
- base_provider = 'anthropic',
- best_provider = IterListProvider([Vercel])
+# gemma
+gemma_2b_9b = Model(
+ name = 'gemma-2b-9b',
+ base_provider = 'Google',
+ best_provider = Airforce
+)
+
+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 = Airforce
+)
+
+gemma_2 = Model(
+ name = 'gemma-2',
+ base_provider = 'Google',
+ best_provider = ChatHub
)
+
+### Anthropic ###
+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 = None
+ 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])
+)
+
+
+### Reka AI ###
+reka_core = Model(
+ name = 'reka-core',
+ base_provider = 'Reka AI',
+ best_provider = Reka
+)
+
+
+### Blackbox AI ###
+blackboxai = Model(
+ name = 'blackboxai',
+ base_provider = 'Blackbox AI',
+ best_provider = IterListProvider([Blackbox, NexraBlackbox])
)
-gpt_35_turbo_16k = Model(
- name = 'gpt-3.5-turbo-16k',
- base_provider = 'openai',
- best_provider = gpt_35_long.best_provider
+blackboxai_pro = Model(
+ name = 'blackboxai-pro',
+ base_provider = 'Blackbox AI',
+ best_provider = Blackbox
)
-gpt_35_turbo_16k_0613 = Model(
- name = 'gpt-3.5-turbo-16k-0613',
- base_provider = 'openai',
- best_provider = gpt_35_long.best_provider
+
+### Databricks ###
+dbrx_instruct = Model(
+ name = 'dbrx-instruct',
+ base_provider = 'Databricks',
+ best_provider = IterListProvider([Airforce, DeepInfra])
)
-gpt_35_turbo_0613 = Model(
- name = 'gpt-3.5-turbo-0613',
- base_provider = 'openai',
- best_provider = gpt_35_turbo.best_provider
+
+### CohereForAI ###
+command_r_plus = Model(
+ name = 'command-r-plus',
+ base_provider = 'CohereForAI',
+ best_provider = HuggingChat
)
-gpt_4_0613 = Model(
- name = 'gpt-4-0613',
- base_provider = 'openai',
- best_provider = gpt_4.best_provider
+
+### iFlytek ###
+sparkdesk_v1_1 = Model(
+ name = 'sparkdesk-v1.1',
+ base_provider = 'iFlytek',
+ best_provider = FreeChatgpt
)
-gpt_4_32k = Model(
- name = 'gpt-4-32k',
- base_provider = 'openai',
- best_provider = gpt_4.best_provider
+
+### Qwen ###
+# qwen 1
+qwen_1_5_0_5b = Model(
+ name = 'qwen-1.5-0.5b',
+ base_provider = 'Qwen',
+ best_provider = Cloudflare
)
-gpt_4_32k_0613 = Model(
- name = 'gpt-4-32k-0613',
- base_provider = 'openai',
- best_provider = gpt_4.best_provider
+qwen_1_5_7b = Model(
+ name = 'qwen-1.5-7b',
+ base_provider = 'Qwen',
+ best_provider = IterListProvider([Cloudflare, Airforce])
)
-gemini_pro = Model(
- name = 'gemini-pro',
- base_provider = 'google',
- best_provider = IterListProvider([GeminiPro, You])
+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
)
-dbrx_instruct = Model(
- name = 'databricks/dbrx-instruct',
- base_provider = 'mistral',
- best_provider = IterListProvider([DeepInfra, PerplexityLabs])
+### DeepSeek ###
+deepseek = Model(
+ name = 'deepseek',
+ base_provider = 'DeepSeek',
+ best_provider = Airforce
)
-command_r_plus = Model(
- name = 'CohereForAI/c4ai-command-r-plus',
- base_provider = 'mistral',
- best_provider = IterListProvider([HuggingChat])
+### WizardLM ###
+wizardlm_2_7b = Model(
+ name = 'wizardlm-2-7b',
+ base_provider = 'WizardLM',
+ best_provider = DeepInfraChat
)
-blackbox = Model(
- name = 'blackbox',
- base_provider = 'blackbox',
- best_provider = Blackbox
+wizardlm_2_8x22b = Model(
+ name = 'wizardlm-2-8x22b',
+ base_provider = 'WizardLM',
+ best_provider = IterListProvider([DeepInfraChat, Airforce])
)
-reka_core = Model(
- name = 'reka-core',
- base_provider = 'Reka AI',
- best_provider = Reka
+### 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_turbo = Model(
+ name = 'sdxl-turbo',
+ base_provider = 'Stability AI',
+ best_provider = NexraSDTurbo
+
+)
+
+sdxl_lora = Model(
+ name = 'sdxl-lora',
+ base_provider = 'Stability AI',
+ best_provider = NexraSDLora
+
+)
+
+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:
@@ -277,54 +899,268 @@ class ModelUtils:
convert (dict[str, Model]): Dictionary mapping model string identifiers to Model instances.
"""
convert: dict[str, Model] = {
- # 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,
-
- # 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-ai": meta,
- 'llama3-8b': llama3_8b_instruct, # alias
- 'llama3-70b': llama3_70b_instruct, # alias
- 'llama3-8b-instruct' : llama3_8b_instruct,
- 'llama3-70b-instruct': llama3_70b_instruct,
-
- 'codellama-34b-instruct': codellama_34b_instruct,
- 'codellama-70b-instruct': codellama_70b_instruct,
-
- # Mistral Opensource
- 'mixtral-8x7b': mixtral_8x7b,
- 'mistral-7b': mistral_7b,
- 'mistral-7b-v02': mistral_7b_v02,
-
- # google gemini
- 'gemini': gemini,
- 'gemini-pro': gemini_pro,
-
- # anthropic
- 'claude-v2': claude_v2,
- 'claude-3-opus': claude_3_opus,
- 'claude-3-sonnet': claude_3_sonnet,
- 'claude-3-haiku': claude_3_haiku,
-
- # reka core
- 'reka': reka_core,
-
- # other
- 'blackbox': blackbox,
- 'command-r+': command_r_plus,
- 'dbrx-instruct': dbrx_instruct,
- 'gigachat': gigachat,
- 'pi': pi
+
+############
+### 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-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
+'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,
+
+# 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,
+
+
+### CohereForAI ###
+'command-r+': command_r_plus,
+
+
+### Databricks ###
+'dbrx-instruct': dbrx_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,
+
+### DeepSeek ###
+'deepseek': deepseek,
+
+
+### Yorickvp ###
+'llava-13b': llava_13b,
+
+
+### 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,
+
+
+### 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,
+
+
+### Pawan ###
+'cosmosrp': cosmosrp,
+
+
+### TheBloke ###
+'german-7b': german_7b,
+
+
+### Tinyllama ###
+'tinyllama-1.1b': tinyllama_1_1b,
+
+
+### Fblgit ###
+'cybertron-7b': cybertron_7b,
+
+
+### Nvidia ###
+'nemotron-70b': nemotron_70b,
+
+
+
+#############
+### 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,
+
+
+### 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())