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Adding New Models and Enhancing Provider Functionality (#2689)
* Adding New Models and Enhancing Provider Functionality * fix(core): handle model errors and improve configuration - Import ModelNotSupportedError for proper exception handling in model resolution - Update login_url configuration to reference class URL attribute dynamically - Remove redundant typing imports after internal module reorganization * feat(g4f/Provider/PerplexityLabs.py): Add new Perplexity models and update provider listings - Update PerplexityLabs provider with expanded Sonar model family including pro/reasoning variants - Add new text models: sonar-reasoning-pro to supported model catalog - Standardize model naming conventions across provider documentation * feat(g4f/models.py): add Sonar Reasoning Pro model configuration - Add new model to Perplexity AI text models section - Include model in ModelUtils.convert mapping with PerplexityLabs provider - Maintain consistent configuration pattern with existing Sonar variants * feat(docs/providers-and-models.md): update provider models and add new reasoning model - Update PerplexityLabs text models to standardized sonar naming convention - Add new sonar-reasoning-pro model to text models table - Include latest Perplexity AI documentation references for new model * docs(docs/providers-and-models.md): update AI providers documentation - Remove deprecated chatgptt.me from no-auth providers list - Delete redundant Auth column from HuggingSpace providers table - Update PerplexityLabs model website URLs to sonar.perplexity.ai - Adjust provider counts for GPT-4/GPT-4o models in text models section - Fix inconsistent formatting in image models provider listings * chore(g4f/models.py): remove deprecated ChatGptt provider integration - Remove ChatGptt import from provider dependencies - Exclude ChatGptt from default model's best_provider list - Update gpt_4 model configuration to eliminate ChatGptt reference - Modify gpt_4o vision model provider hierarchy - Adjust gpt_4o_mini provider selection parameters BREAKING CHANGE: Existing integrations using ChatGptt provider will no longer function * Disabled provider (g4f/Provider/ChatGptt.py > g4f/Provider/not_working/ChatGptt.py): Problem with Cloudflare * fix(g4f/Provider/CablyAI.py): update API endpoints and model configurations * docs(docs/providers-and-models.md): update model listings and provider capabilities * feat(g4f/models.py): Add Hermes-3 model and enhance provider configs * feat(g4f/Provider/CablyAI.py): Add free tier indicators to model aliases * refactor(g4f/tools/run_tools.py): modularize thinking chunk handling * fix(g4f/Provider/DeepInfraChat.py): resolve duplicate keys and enhance request headers * feat(g4f/Provider/DeepInfraChat.py): Add multimodal image support and improve model handling * chore(g4f/models.py): update default vision model providers * feat(docs/providers-and-models.md): update provider capabilities and model specifications * Update docs/client.md * docs(docs/providers-and-models.md): Update DeepInfraChat models documentation * feat(g4f/Provider/DeepInfraChat.py): add new vision models and expand model aliases * feat(g4f/models.py): update model configurations and add new providers * feat(g4f/models.py): Update model configurations and add new AI models --------- Co-authored-by: kqlio67 <>
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15 changed files with 381 additions and 229 deletions
123
g4f/models.py
123
g4f/models.py
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@ -10,7 +10,6 @@ from .Provider import (
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CablyAI,
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ChatGLM,
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ChatGptEs,
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ChatGptt,
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Cloudflare,
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Copilot,
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DDG,
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@ -81,7 +80,6 @@ default = Model(
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Copilot,
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DeepInfraChat,
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ChatGptEs,
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ChatGptt,
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PollinationsAI,
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Jmuz,
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CablyAI,
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@ -96,6 +94,8 @@ default_vision = Model(
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base_provider = "",
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best_provider = IterListProvider([
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Blackbox,
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OIVSCode,
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DeepInfraChat,
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PollinationsAI,
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HuggingSpace,
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GeminiPro,
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@ -115,20 +115,20 @@ default_vision = Model(
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gpt_4 = Model(
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name = 'gpt-4',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([DDG, Jmuz, ChatGptEs, ChatGptt, PollinationsAI, Yqcloud, Copilot, OpenaiChat, Liaobots, Mhystical])
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best_provider = IterListProvider([Blackbox, DDG, Jmuz, ChatGptEs, PollinationsAI, Yqcloud, Copilot, OpenaiChat, Liaobots, Mhystical])
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)
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# gpt-4o
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gpt_4o = VisionModel(
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name = 'gpt-4o',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([ChatGptt, Jmuz, ChatGptEs, PollinationsAI, Copilot, Liaobots, OpenaiChat])
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best_provider = IterListProvider([Blackbox, Jmuz, ChatGptEs, PollinationsAI, Copilot, Liaobots, OpenaiChat])
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)
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gpt_4o_mini = Model(
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name = 'gpt-4o-mini',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([DDG, ChatGptEs, ChatGptt, Jmuz, PollinationsAI, OIVSCode, CablyAI, Liaobots, OpenaiChat])
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best_provider = IterListProvider([DDG, ChatGptEs, Jmuz, PollinationsAI, OIVSCode, CablyAI, Liaobots, OpenaiChat])
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)
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# o1
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@ -151,6 +151,12 @@ o1_mini = Model(
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)
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# o3
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o3_mini = Model(
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name = 'o3-mini',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([Blackbox, CablyAI])
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)
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o3_mini_low = Model(
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name = 'o3-mini-low',
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base_provider = 'OpenAI',
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@ -247,6 +253,11 @@ mixtral_8x7b = Model(
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base_provider = "Mistral",
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best_provider = IterListProvider([DDG, Jmuz])
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)
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mixtral_8x22b = Model(
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name = "mixtral-8x22b",
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base_provider = "Mistral",
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best_provider = DeepInfraChat
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)
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mistral_nemo = Model(
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name = "mistral-nemo",
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@ -267,6 +278,12 @@ hermes_2_dpo = Model(
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best_provider = IterListProvider([Blackbox, BlackboxAPI])
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)
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hermes_3 = Model(
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name = "hermes-3",
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base_provider = "NousResearch",
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best_provider = CablyAI
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)
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### Microsoft ###
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# phi
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@ -283,6 +300,12 @@ phi_4 = Model(
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)
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# wizardlm
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wizardlm_2_7b = Model(
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name = 'wizardlm-2-7b',
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base_provider = 'Microsoft',
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best_provider = DeepInfraChat
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)
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wizardlm_2_8x22b = Model(
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name = 'wizardlm-2-8x22b',
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base_provider = 'Microsoft',
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@ -321,7 +344,7 @@ gemini_1_5_pro = Model(
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gemini_2_0_flash = Model(
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name = 'gemini-2.0-flash',
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base_provider = 'Google DeepMind',
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best_provider = IterListProvider([GeminiPro, Liaobots])
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best_provider = IterListProvider([PollinationsAI, GeminiPro, Liaobots])
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)
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gemini_2_0_flash_thinking = Model(
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@ -355,7 +378,7 @@ claude_3_opus = Model(
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claude_3_5_sonnet = Model(
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name = 'claude-3.5-sonnet',
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base_provider = 'Anthropic',
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best_provider = IterListProvider([Jmuz, Liaobots])
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best_provider = IterListProvider([Blackbox, Jmuz, Liaobots])
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)
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### Reka AI ###
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@ -406,7 +429,7 @@ qwen_1_5_7b = Model(
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qwen_2_72b = Model(
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name = 'qwen-2-72b',
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base_provider = 'Qwen',
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best_provider = HuggingSpace
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best_provider = IterListProvider([DeepInfraChat, HuggingSpace])
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)
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qwen_2_vl_7b = VisionModel(
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name = "qwen-2-vl-7b",
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@ -416,7 +439,7 @@ qwen_2_vl_7b = VisionModel(
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qwen_2_5_72b = Model(
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name = 'qwen-2.5-72b',
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base_provider = 'Qwen',
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best_provider = IterListProvider([DeepInfraChat, PollinationsAI, Jmuz])
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best_provider = IterListProvider([PollinationsAI, Jmuz])
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)
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qwen_2_5_coder_32b = Model(
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name = 'qwen-2.5-coder-32b',
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@ -490,6 +513,12 @@ sonar_pro = Model(
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sonar_reasoning = Model(
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name = 'sonar-reasoning',
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base_provider = 'Perplexity AI',
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best_provider = IterListProvider([PerplexityLabs, CablyAI])
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)
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sonar_reasoning_pro = Model(
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name = 'sonar-reasoning-pro',
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base_provider = 'Perplexity AI',
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best_provider = PerplexityLabs
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)
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@ -504,7 +533,7 @@ nemotron_70b = Model(
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dbrx_instruct = Model(
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name = 'dbrx-instruct',
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base_provider = 'Databricks',
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best_provider = IterListProvider([Blackbox, BlackboxAPI])
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best_provider = IterListProvider([Blackbox, BlackboxAPI, DeepInfraChat])
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)
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### THUDM ###
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@ -514,13 +543,54 @@ glm_4 = Model(
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best_provider = ChatGLM
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)
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### MiniMax
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### MiniMax ###
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mini_max = Model(
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name = "MiniMax",
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base_provider = "MiniMax",
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best_provider = HailuoAI
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)
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### 01-ai ###
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yi_34b = Model(
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name = "yi-34b",
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base_provider = "01-ai",
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best_provider = DeepInfraChat
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)
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### Cognitive Computations ###
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dolphin_2_6 = Model(
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name = "dolphin-2.6",
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base_provider = "Cognitive Computations",
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best_provider = DeepInfraChat
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)
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dolphin_2_9 = Model(
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name = "dolphin-2.9",
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base_provider = "Cognitive Computations",
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best_provider = DeepInfraChat
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)
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### DeepInfra ###
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airoboros_70b = Model(
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name = "airoboros-70b",
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base_provider = "DeepInfra",
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best_provider = DeepInfraChat
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)
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### Lizpreciatior ###
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lzlv_70b = Model(
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name = "lzlv-70b",
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base_provider = "Lizpreciatior",
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best_provider = DeepInfraChat
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)
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### OpenBMB ###
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minicpm_2_5 = Model(
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name = "minicpm-2.5",
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base_provider = "OpenBMB",
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best_provider = DeepInfraChat
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)
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### Uncensored AI ###
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evil = Model(
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name = 'evil',
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@ -556,19 +626,19 @@ flux = ImageModel(
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flux_pro = ImageModel(
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name = 'flux-pro',
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base_provider = 'Black Forest Labs',
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best_provider = PollinationsImage
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best_provider = PollinationsAI
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)
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flux_dev = ImageModel(
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name = 'flux-dev',
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base_provider = 'Black Forest Labs',
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best_provider = IterListProvider([HuggingSpace, HuggingChat, HuggingFace])
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best_provider = IterListProvider([PollinationsImage, HuggingSpace, HuggingChat, HuggingFace])
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)
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flux_schnell = ImageModel(
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name = 'flux-schnell',
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base_provider = 'Black Forest Labs',
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best_provider = IterListProvider([HuggingSpace, HuggingChat, HuggingFace])
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best_provider = IterListProvider([PollinationsImage, HuggingSpace, HuggingChat, HuggingFace])
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)
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@ -610,6 +680,10 @@ class ModelUtils:
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o1.name: o1,
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o1_preview.name: o1_preview,
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o1_mini.name: o1_mini,
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# o3
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o3_mini.name: o3_mini,
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o3_mini_low.name: o3_mini_low,
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### Meta ###
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meta.name: meta,
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@ -637,11 +711,13 @@ class ModelUtils:
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### Mistral ###
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mixtral_8x7b.name: mixtral_8x7b,
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mixtral_8x22b.name: mixtral_8x22b,
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mistral_nemo.name: mistral_nemo,
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mixtral_small_28b.name: mixtral_small_28b,
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### NousResearch ###
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hermes_2_dpo.name: hermes_2_dpo,
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hermes_3.name: hermes_3,
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### Microsoft ###
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# phi
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@ -649,6 +725,7 @@ class ModelUtils:
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phi_4.name: phi_4,
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# wizardlm
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wizardlm_2_7b.name: wizardlm_2_7b,
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wizardlm_2_8x22b.name: wizardlm_2_8x22b,
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### Google ###
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@ -706,6 +783,7 @@ class ModelUtils:
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sonar.name: sonar,
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sonar_pro.name: sonar_pro,
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sonar_reasoning.name: sonar_reasoning,
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sonar_reasoning_pro.name: sonar_reasoning_pro,
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### DeepSeek ###
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deepseek_chat.name: deepseek_chat,
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@ -715,7 +793,17 @@ class ModelUtils:
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nemotron_70b.name: nemotron_70b, ### Nvidia ###
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dbrx_instruct.name: dbrx_instruct, ### Databricks ###
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glm_4.name: glm_4, ### THUDM ###
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mini_max.name: mini_max, ## MiniMax
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mini_max.name: mini_max, ## MiniMax ###
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yi_34b.name: yi_34b, ## 01-ai ###
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### Cognitive Computations ###
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dolphin_2_6.name: dolphin_2_6,
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dolphin_2_9.name: dolphin_2_9,
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airoboros_70b.name: airoboros_70b, ### DeepInfra ###
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lzlv_70b.name: lzlv_70b, ### Lizpreciatior ###
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minicpm_2_5.name: minicpm_2_5, ### OpenBMB ###
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evil.name: evil, ### Uncensored AI ###
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#############
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@ -742,11 +830,10 @@ class ModelUtils:
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demo_models = {
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gpt_4o.name: [gpt_4o, [PollinationsAI, Blackbox]],
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gpt_4o_mini.name: [gpt_4o_mini, [PollinationsAI, CablyAI, DDG]],
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deepseek_r1.name: [deepseek_r1, [PollinationsAI, HuggingFace]],
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"default": [llama_3_2_11b, [HuggingFace]],
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qwen_2_vl_7b.name: [qwen_2_vl_7b, [HuggingFaceAPI]],
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qvq_72b.name: [qvq_72b, [HuggingSpace]],
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deepseek_r1.name: [deepseek_r1, [HuggingFace]],
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command_r.name: [command_r, [HuggingSpace]],
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command_r_plus.name: [command_r_plus, [HuggingSpace]],
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command_r7b.name: [command_r7b, [HuggingSpace]],
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@ -756,7 +843,7 @@ demo_models = {
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llama_3_3_70b.name: [llama_3_3_70b, [HuggingFace]],
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sd_3_5.name: [sd_3_5, [HuggingSpace, HuggingFace]],
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flux_dev.name: [flux_dev, [PollinationsImage, HuggingSpace, HuggingFace]],
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flux_schnell.name: [flux_schnell, [PollinationsImage, HuggingFace, HuggingSpace]],
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flux_schnell.name: [flux_schnell, [HuggingFace, HuggingSpace, PollinationsImage]],
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}
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# Create a list of all models and his providers
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