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AI Provider and Model Updates: Adding New, Removing Deprecated, and Enhancing Functionality (#2739)
* docs(docs/providers-and-models.md): Update provider listings and model information * feat(g4f/models.py): update model configurations and expand provider support * fix(g4f/gui/client/static/js/chat.v1.js): correct provider checkbox initialization logic * feat(g4f/Provider/Blackbox.py): update model configurations and premium handling * feat(g4f/Provider/ChatGLM.py): add finish reason handling and update default model * chore(g4f/Provider/DDG.py): Reorder model entries for consistency * feat(g4f/Provider/ImageLabs.py): Update default image model to sdxl-turbo * feat(g4f/Provider/Liaobots.py): update supported model configurations and aliases * feat(g4f/Provider/OIVSCode.py): Update API endpoint and expand model support * fix(g4f/Provider/needs_auth/CablyAI.py): Enforce authentication requirement * Removed the provider (g4f/Provider/BlackboxAPI.py) * fix(g4f/providers/base_provider.py): improve cache validation in AsyncAuthedProvider * Update g4f/models.py * fix(g4f/Provider/Liaobots.py): remove deprecated Gemini model aliases * chore(g4f/models.py): Remove Grok-2 and update Gemini provider configurations * chore(docs/providers-and-models.md): Remove deprecated Grok models from provider listings * New provider added (g4f/Provider/AllenAI.py) * feat(g4f/models.py): Add Ai2 models and update provider references * feat(docs/providers-and-models.md): update providers and models documentation * fix(g4f/models.py): update experimental model provider configuration * fix(g4f/Provider/PollinationsImage.py): Initialize image_models list and update label * fix(g4f/Provider/PollinationsAI.py): Resolve model initialization and alias conflicts * refactor(g4f/Provider/PollinationsAI.py): improve model initialization and error handling * refactor(g4f/Provider/PollinationsImage.py): Improve model synchronization and initialization * Update g4f/Provider/AllenAI.py --------- Co-authored-by: kqlio67 <>
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kqlio67
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15 changed files with 422 additions and 238 deletions
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@ -5,8 +5,8 @@ from dataclasses import dataclass
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from .Provider import IterListProvider, ProviderType
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from .Provider import (
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### no auth required ###
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AllenAI,
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Blackbox,
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BlackboxAPI,
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ChatGLM,
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ChatGptEs,
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Cloudflare,
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@ -115,14 +115,14 @@ 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([Blackbox, DDG, Jmuz, ChatGptEs, PollinationsAI, Yqcloud, Copilot, OpenaiChat, Liaobots, Mhystical])
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best_provider = IterListProvider([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([Blackbox, Jmuz, ChatGptEs, PollinationsAI, Copilot, Liaobots, OpenaiChat])
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best_provider = IterListProvider([Jmuz, ChatGptEs, PollinationsAI, Copilot, Liaobots, OpenaiChat])
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)
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gpt_4o_mini = Model(
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@ -144,17 +144,11 @@ o1_preview = Model(
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best_provider = Liaobots
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)
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o1_mini = Model(
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name = 'o1-mini',
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base_provider = 'OpenAI',
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best_provider = Liaobots
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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([DDG, Blackbox])
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best_provider = IterListProvider([DDG, Liaobots])
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)
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### GigaChat ###
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@ -268,14 +262,14 @@ mixtral_small_24b = Model(
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mixtral_small_28b = Model(
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name = "mixtral-small-28b",
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base_provider = "Mistral",
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best_provider = IterListProvider([Blackbox, BlackboxAPI, DeepInfraChat])
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best_provider = IterListProvider([Blackbox, DeepInfraChat])
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)
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### NousResearch ###
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hermes_2_dpo = Model(
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name = "hermes-2-dpo",
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base_provider = "NousResearch",
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best_provider = IterListProvider([Blackbox, BlackboxAPI])
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best_provider = Blackbox
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)
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### Microsoft ###
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@ -324,13 +318,13 @@ gemini_exp = Model(
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gemini_1_5_flash = Model(
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name = 'gemini-1.5-flash',
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base_provider = 'Google DeepMind',
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best_provider = IterListProvider([Blackbox, Jmuz, GeminiPro, Liaobots])
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best_provider = IterListProvider([Blackbox, Jmuz, GeminiPro])
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)
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gemini_1_5_pro = Model(
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name = 'gemini-1.5-pro',
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base_provider = 'Google DeepMind',
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best_provider = IterListProvider([Blackbox, Jmuz, GeminiPro, Liaobots])
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best_provider = IterListProvider([Jmuz, GeminiPro])
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)
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# gemini-2.0
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@ -449,7 +443,7 @@ qwen_2_5_1m = Model(
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qwq_32b = Model(
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name = 'qwq-32b',
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base_provider = 'Qwen',
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best_provider = IterListProvider([Blackbox, BlackboxAPI, Jmuz, HuggingChat])
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best_provider = IterListProvider([Blackbox, Jmuz, HuggingChat])
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)
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qvq_72b = VisionModel(
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name = 'qvq-72b',
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@ -468,19 +462,19 @@ pi = Model(
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deepseek_chat = Model(
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name = 'deepseek-chat',
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base_provider = 'DeepSeek',
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best_provider = IterListProvider([Blackbox, BlackboxAPI, Jmuz, PollinationsAI])
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best_provider = IterListProvider([Blackbox, Jmuz, PollinationsAI])
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)
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deepseek_v3 = Model(
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name = 'deepseek-v3',
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base_provider = 'DeepSeek',
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best_provider = IterListProvider([Blackbox, BlackboxAPI, DeepInfraChat, Liaobots])
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best_provider = IterListProvider([Blackbox, DeepInfraChat, OIVSCode, Liaobots])
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)
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deepseek_r1 = Model(
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name = 'deepseek-r1',
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base_provider = 'DeepSeek',
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best_provider = IterListProvider([Blackbox, BlackboxAPI, DeepInfraChat, Glider, PollinationsAI, Jmuz, Liaobots, HuggingChat, HuggingFace])
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best_provider = IterListProvider([Blackbox, DeepInfraChat, Glider, PollinationsAI, Jmuz, Liaobots, HuggingChat, HuggingFace])
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)
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janus_pro_7b = VisionModel(
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@ -490,8 +484,14 @@ janus_pro_7b = VisionModel(
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)
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### x.ai ###
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grok_2 = Model(
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name = 'grok-2',
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grok_3 = Model(
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name = 'grok-3',
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base_provider = 'x.ai',
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best_provider = Liaobots
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)
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grok_3_r1 = Model(
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name = 'grok-3-r1',
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base_provider = 'x.ai',
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best_provider = Liaobots
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)
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@ -521,6 +521,12 @@ sonar_reasoning_pro = Model(
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best_provider = PerplexityLabs
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)
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r1_1776 = Model(
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name = 'r1-1776',
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base_provider = 'Perplexity AI',
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best_provider = PerplexityLabs
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)
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### Nvidia ###
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nemotron_70b = Model(
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name = 'nemotron-70b',
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@ -532,7 +538,7 @@ 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, DeepInfraChat])
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best_provider = IterListProvider([Blackbox, DeepInfraChat])
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)
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### THUDM ###
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@ -590,6 +596,37 @@ minicpm_2_5 = Model(
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best_provider = DeepInfraChat
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)
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### Ai2 ###
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tulu_3_405b = Model(
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name = "tulu-3-405b",
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base_provider = "Ai2",
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best_provider = AllenAI
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)
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olmo_2_13b = Model(
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name = "olmo-2-13b",
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base_provider = "Ai2",
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best_provider = AllenAI
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)
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tulu_3_1_8b = Model(
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name = "tulu-3-1-8b",
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base_provider = "Ai2",
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best_provider = AllenAI
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)
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tulu_3_70b = Model(
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name = "tulu-3-70b",
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base_provider = "Ai2",
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best_provider = AllenAI
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)
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olmoe_0125 = Model(
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name = "olmoe-0125",
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base_provider = "Ai2",
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best_provider = AllenAI
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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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@ -678,7 +715,6 @@ class ModelUtils:
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# o1
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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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@ -776,13 +812,14 @@ class ModelUtils:
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pi.name: pi,
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### x.ai ###
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grok_2.name: grok_2,
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grok_3.name: grok_3,
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### Perplexity AI ###
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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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r1_1776.name: r1_1776,
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### DeepSeek ###
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deepseek_chat.name: deepseek_chat,
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@ -803,6 +840,13 @@ class ModelUtils:
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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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### Ai2 ###
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tulu_3_405b.name: tulu_3_405b,
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olmo_2_13b.name: olmo_2_13b,
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tulu_3_1_8b.name: tulu_3_1_8b,
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tulu_3_70b.name: tulu_3_70b,
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olmoe_0125.name: olmoe_0125,
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evil.name: evil, ### Uncensored AI ###
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#############
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