mirror of
https://github.com/xtekky/gpt4free.git
synced 2025-12-06 02:30:41 -08:00
ab04d1d894
Restore browser instance on start up errors in nodriver Restored instances can be used as usual or to stop the browser Add demo modus to web ui for HuggingSpace Add rate limit support to web ui. Simply install flask_limiter Add home for demo with Access Token input and validation Add stripped model list for demo Add ignores for encoding error in web_search and file upload
805 lines
19 KiB
Python
805 lines
19 KiB
Python
from __future__ import annotations
|
|
|
|
from dataclasses import dataclass
|
|
|
|
from .Provider import IterListProvider, ProviderType
|
|
from .Provider import (
|
|
### no auth required ###
|
|
AIChatFree,
|
|
AIUncensored,
|
|
AutonomousAI,
|
|
Blackbox,
|
|
CablyAI,
|
|
ChatGLM,
|
|
ChatGpt,
|
|
ChatGptEs,
|
|
ChatGptt,
|
|
Cloudflare,
|
|
Copilot,
|
|
DarkAI,
|
|
DDG,
|
|
DeepInfraChat,
|
|
HuggingSpace,
|
|
GPROChat,
|
|
ImageLabs,
|
|
Jmuz,
|
|
Liaobots,
|
|
Mhystical,
|
|
OIVSCode,
|
|
PerplexityLabs,
|
|
Pi,
|
|
PollinationsAI,
|
|
TeachAnything,
|
|
Yqcloud,
|
|
|
|
### needs auth ###
|
|
BingCreateImages,
|
|
CopilotAccount,
|
|
Gemini,
|
|
GeminiPro,
|
|
GigaChat,
|
|
HailuoAI,
|
|
HuggingChat,
|
|
HuggingFace,
|
|
HuggingFaceAPI,
|
|
MetaAI,
|
|
MicrosoftDesigner,
|
|
OpenaiAccount,
|
|
OpenaiChat,
|
|
Reka,
|
|
)
|
|
|
|
@dataclass(unsafe_hash=True)
|
|
class Model:
|
|
"""
|
|
Represents a machine learning model configuration.
|
|
|
|
Attributes:
|
|
name (str): Name of the model.
|
|
base_provider (str): Default provider for the model.
|
|
best_provider (ProviderType): The preferred provider for the model, typically with retry logic.
|
|
"""
|
|
name: str
|
|
base_provider: str
|
|
best_provider: ProviderType = None
|
|
|
|
@staticmethod
|
|
def __all__() -> list[str]:
|
|
"""Returns a list of all model names."""
|
|
return _all_models
|
|
|
|
class ImageModel(Model):
|
|
pass
|
|
|
|
class VisionModel(Model):
|
|
pass
|
|
|
|
### Default ###
|
|
default = Model(
|
|
name = "",
|
|
base_provider = "",
|
|
best_provider = IterListProvider([
|
|
DDG,
|
|
Blackbox,
|
|
Copilot,
|
|
DeepInfraChat,
|
|
ChatGptEs,
|
|
ChatGptt,
|
|
PollinationsAI,
|
|
Jmuz,
|
|
CablyAI,
|
|
OIVSCode,
|
|
DarkAI,
|
|
AIUncensored,
|
|
OpenaiChat,
|
|
Cloudflare,
|
|
])
|
|
)
|
|
|
|
default_vision = Model(
|
|
name = "",
|
|
base_provider = "",
|
|
best_provider = IterListProvider([
|
|
Blackbox,
|
|
PollinationsAI,
|
|
HuggingSpace,
|
|
GeminiPro,
|
|
HuggingFaceAPI,
|
|
CopilotAccount,
|
|
OpenaiAccount,
|
|
Gemini,
|
|
], shuffle=False)
|
|
)
|
|
|
|
############
|
|
### Text ###
|
|
############
|
|
|
|
### OpenAI ###
|
|
# gpt-3.5
|
|
gpt_35_turbo = Model(
|
|
name = 'gpt-3.5-turbo',
|
|
base_provider = 'OpenAI',
|
|
best_provider = IterListProvider([DarkAI, ChatGpt])
|
|
)
|
|
|
|
# gpt-4
|
|
gpt_4 = Model(
|
|
name = 'gpt-4',
|
|
base_provider = 'OpenAI',
|
|
best_provider = IterListProvider([DDG, Blackbox, Jmuz, ChatGptEs, ChatGptt, PollinationsAI, Yqcloud, Copilot, OpenaiChat, Liaobots, Mhystical])
|
|
)
|
|
|
|
# gpt-4o
|
|
gpt_4o = VisionModel(
|
|
name = 'gpt-4o',
|
|
base_provider = 'OpenAI',
|
|
best_provider = IterListProvider([Blackbox, ChatGptt, Jmuz, ChatGptEs, PollinationsAI, DarkAI, Copilot, ChatGpt, Liaobots, OpenaiChat])
|
|
)
|
|
|
|
gpt_4o_mini = Model(
|
|
name = 'gpt-4o-mini',
|
|
base_provider = 'OpenAI',
|
|
best_provider = IterListProvider([DDG, ChatGptEs, ChatGptt, Jmuz, PollinationsAI, OIVSCode, ChatGpt, Liaobots, OpenaiChat])
|
|
)
|
|
|
|
# o1
|
|
o1 = Model(
|
|
name = 'o1',
|
|
base_provider = 'OpenAI',
|
|
best_provider = OpenaiAccount
|
|
)
|
|
|
|
o1_preview = Model(
|
|
name = 'o1-preview',
|
|
base_provider = 'OpenAI',
|
|
best_provider = Liaobots
|
|
)
|
|
|
|
o1_mini = Model(
|
|
name = 'o1-mini',
|
|
base_provider = 'OpenAI',
|
|
best_provider = Liaobots
|
|
)
|
|
|
|
### GigaChat ###
|
|
gigachat = Model(
|
|
name = 'GigaChat:latest',
|
|
base_provider = 'gigachat',
|
|
best_provider = GigaChat
|
|
)
|
|
|
|
### Meta ###
|
|
meta = Model(
|
|
name = "meta-ai",
|
|
base_provider = "Meta",
|
|
best_provider = MetaAI
|
|
)
|
|
|
|
# llama 2
|
|
llama_2_7b = Model(
|
|
name = "llama-2-7b",
|
|
base_provider = "Meta Llama",
|
|
best_provider = Cloudflare
|
|
)
|
|
# llama 3
|
|
llama_3_8b = Model(
|
|
name = "llama-3-8b",
|
|
base_provider = "Meta Llama",
|
|
best_provider = IterListProvider([Jmuz, Cloudflare])
|
|
)
|
|
|
|
llama_3_70b = Model(
|
|
name = "llama-3-70b",
|
|
base_provider = "Meta Llama",
|
|
best_provider = Jmuz
|
|
)
|
|
|
|
# llama 3.1
|
|
llama_3_1_8b = Model(
|
|
name = "llama-3.1-8b",
|
|
base_provider = "Meta Llama",
|
|
best_provider = IterListProvider([Blackbox, DeepInfraChat, Jmuz, PollinationsAI, Cloudflare, PerplexityLabs])
|
|
)
|
|
|
|
llama_3_1_70b = Model(
|
|
name = "llama-3.1-70b",
|
|
base_provider = "Meta Llama",
|
|
best_provider = IterListProvider([DDG, Jmuz, Blackbox, TeachAnything, DarkAI, PerplexityLabs])
|
|
)
|
|
|
|
llama_3_1_405b = Model(
|
|
name = "llama-3.1-405b",
|
|
base_provider = "Meta Llama",
|
|
best_provider = IterListProvider([Blackbox, Jmuz])
|
|
)
|
|
|
|
# llama 3.2
|
|
llama_3_2_1b = Model(
|
|
name = "llama-3.2-1b",
|
|
base_provider = "Meta Llama",
|
|
best_provider = Cloudflare
|
|
)
|
|
|
|
llama_3_2_11b = VisionModel(
|
|
name = "llama-3.2-11b",
|
|
base_provider = "Meta Llama",
|
|
best_provider = IterListProvider([Jmuz, HuggingChat, HuggingFace])
|
|
)
|
|
|
|
llama_3_2_70b = Model(
|
|
name = "llama-3.2-70b",
|
|
base_provider = "Meta Llama",
|
|
best_provider = AutonomousAI
|
|
)
|
|
|
|
llama_3_2_90b = Model(
|
|
name = "llama-3.2-90b",
|
|
base_provider = "Meta Llama",
|
|
best_provider = IterListProvider([Jmuz, AutonomousAI])
|
|
)
|
|
|
|
# llama 3.3
|
|
llama_3_3_70b = Model(
|
|
name = "llama-3.3-70b",
|
|
base_provider = "Meta Llama",
|
|
best_provider = IterListProvider([Blackbox, DeepInfraChat, PollinationsAI, AutonomousAI, Jmuz, HuggingChat, HuggingFace, PerplexityLabs])
|
|
)
|
|
|
|
### Mistral ###
|
|
mixtral_7b = Model(
|
|
name = "mixtral-7b",
|
|
base_provider = "Mistral",
|
|
best_provider = Blackbox
|
|
)
|
|
|
|
mixtral_8x7b = Model(
|
|
name = "mixtral-8x7b",
|
|
base_provider = "Mistral",
|
|
best_provider = IterListProvider([DDG, Jmuz])
|
|
)
|
|
|
|
mistral_nemo = Model(
|
|
name = "mistral-nemo",
|
|
base_provider = "Mistral",
|
|
best_provider = IterListProvider([PollinationsAI, HuggingChat, HuggingFace])
|
|
)
|
|
|
|
### NousResearch ###
|
|
hermes_2_dpo = Model(
|
|
name = "hermes-2-dpo",
|
|
base_provider = "NousResearch",
|
|
best_provider = Blackbox
|
|
)
|
|
|
|
hermes_3 = Model(
|
|
name = "hermes-3",
|
|
base_provider = "NousResearch",
|
|
best_provider = IterListProvider([AutonomousAI, AIUncensored])
|
|
)
|
|
|
|
|
|
### Microsoft ###
|
|
# phi
|
|
phi_3_5_mini = Model(
|
|
name = "phi-3.5-mini",
|
|
base_provider = "Microsoft",
|
|
best_provider = HuggingChat
|
|
)
|
|
|
|
# wizardlm
|
|
wizardlm_2_7b = Model(
|
|
name = 'wizardlm-2-7b',
|
|
base_provider = 'Microsoft',
|
|
best_provider = DeepInfraChat
|
|
)
|
|
|
|
wizardlm_2_8x22b = Model(
|
|
name = 'wizardlm-2-8x22b',
|
|
base_provider = 'Microsoft',
|
|
best_provider = IterListProvider([DeepInfraChat, Jmuz])
|
|
)
|
|
|
|
### Google DeepMind ###
|
|
# gemini
|
|
gemini = Model(
|
|
name = 'gemini',
|
|
base_provider = 'Google',
|
|
best_provider = Gemini
|
|
)
|
|
|
|
# gemini-exp
|
|
gemini_exp = Model(
|
|
name = 'gemini-exp',
|
|
base_provider = 'Google',
|
|
best_provider = Jmuz
|
|
)
|
|
|
|
# gemini-1.5
|
|
gemini_1_5_flash = Model(
|
|
name = 'gemini-1.5-flash',
|
|
base_provider = 'Google DeepMind',
|
|
best_provider = IterListProvider([Blackbox, Jmuz, Gemini, GeminiPro, Liaobots])
|
|
)
|
|
|
|
gemini_1_5_pro = Model(
|
|
name = 'gemini-1.5-pro',
|
|
base_provider = 'Google DeepMind',
|
|
best_provider = IterListProvider([Blackbox, Jmuz, GPROChat, AIChatFree, Gemini, GeminiPro, Liaobots])
|
|
)
|
|
|
|
# gemini-2.0
|
|
gemini_2_0_flash = Model(
|
|
name = 'gemini-2.0-flash',
|
|
base_provider = 'Google DeepMind',
|
|
best_provider = IterListProvider([GeminiPro, Liaobots])
|
|
)
|
|
|
|
gemini_2_0_flash_thinking = Model(
|
|
name = 'gemini-2.0-flash-thinking',
|
|
base_provider = 'Google DeepMind',
|
|
best_provider = Liaobots
|
|
)
|
|
|
|
gemma_2_27b = Model(
|
|
name = 'gemma-2-27b',
|
|
base_provider = 'Google DeepMind',
|
|
best_provider = HuggingFace
|
|
)
|
|
|
|
### Anthropic ###
|
|
# claude 3
|
|
claude_3_haiku = Model(
|
|
name = 'claude-3-haiku',
|
|
base_provider = 'Anthropic',
|
|
best_provider = IterListProvider([DDG, Jmuz])
|
|
)
|
|
|
|
claude_3_sonnet = Model(
|
|
name = 'claude-3-sonnet',
|
|
base_provider = 'Anthropic',
|
|
best_provider = Liaobots
|
|
)
|
|
|
|
claude_3_opus = Model(
|
|
name = 'claude-3-opus',
|
|
base_provider = 'Anthropic',
|
|
best_provider = IterListProvider([Jmuz, Liaobots])
|
|
)
|
|
|
|
|
|
# claude 3.5
|
|
claude_3_5_sonnet = Model(
|
|
name = 'claude-3.5-sonnet',
|
|
base_provider = 'Anthropic',
|
|
best_provider = IterListProvider([Blackbox, Jmuz, 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 = Blackbox
|
|
)
|
|
|
|
blackboxai_pro = Model(
|
|
name = 'blackboxai-pro',
|
|
base_provider = 'Blackbox AI',
|
|
best_provider = Blackbox
|
|
)
|
|
|
|
### CohereForAI ###
|
|
command_r = Model(
|
|
name = 'command-r',
|
|
base_provider = 'CohereForAI',
|
|
best_provider = HuggingSpace
|
|
)
|
|
|
|
command_r_plus = Model(
|
|
name = 'command-r-plus',
|
|
base_provider = 'CohereForAI',
|
|
best_provider = IterListProvider([HuggingSpace, HuggingChat])
|
|
)
|
|
|
|
command_r7b = Model(
|
|
name = 'command-r7b',
|
|
base_provider = 'CohereForAI',
|
|
best_provider = HuggingSpace
|
|
)
|
|
|
|
### Qwen ###
|
|
qwen_1_5_7b = Model(
|
|
name = 'qwen-1.5-7b',
|
|
base_provider = 'Qwen',
|
|
best_provider = Cloudflare
|
|
)
|
|
qwen_2_72b = Model(
|
|
name = 'qwen-2-72b',
|
|
base_provider = 'Qwen',
|
|
best_provider = HuggingSpace
|
|
)
|
|
qwen_2_vl_7b = VisionModel(
|
|
name = "qwen-2-vl-7b",
|
|
base_provider = 'Qwen',
|
|
best_provider = HuggingFaceAPI
|
|
)
|
|
qwen_2_5_72b = Model(
|
|
name = 'qwen-2.5-72b',
|
|
base_provider = 'Qwen',
|
|
best_provider = IterListProvider([DeepInfraChat, PollinationsAI, Jmuz])
|
|
)
|
|
qwen_2_5_coder_32b = Model(
|
|
name = 'qwen-2.5-coder-32b',
|
|
base_provider = 'Qwen',
|
|
best_provider = IterListProvider([DeepInfraChat, PollinationsAI, AutonomousAI, Jmuz, HuggingChat])
|
|
)
|
|
|
|
# qwq/qvq
|
|
qwq_32b = Model(
|
|
name = 'qwq-32b',
|
|
base_provider = 'Qwen',
|
|
best_provider = IterListProvider([Blackbox, DeepInfraChat, Jmuz, HuggingChat])
|
|
)
|
|
|
|
qvq_72b = VisionModel(
|
|
name = 'qvq-72b',
|
|
base_provider = 'Qwen',
|
|
best_provider = HuggingSpace
|
|
)
|
|
|
|
### Inflection ###
|
|
pi = Model(
|
|
name = 'pi',
|
|
base_provider = 'Inflection',
|
|
best_provider = Pi
|
|
)
|
|
|
|
### DeepSeek ###
|
|
deepseek_chat = Model(
|
|
name = 'deepseek-chat',
|
|
base_provider = 'DeepSeek',
|
|
best_provider = IterListProvider([Blackbox, Jmuz, PollinationsAI])
|
|
)
|
|
|
|
deepseek_r1 = Model(
|
|
name = 'deepseek-r1',
|
|
base_provider = 'DeepSeek',
|
|
best_provider = IterListProvider([Blackbox, Jmuz, PollinationsAI, HuggingChat, HuggingFace])
|
|
)
|
|
|
|
### x.ai ###
|
|
grok_2 = Model(
|
|
name = 'grok-2',
|
|
base_provider = 'x.ai',
|
|
best_provider = Liaobots
|
|
)
|
|
|
|
### Perplexity AI ###
|
|
sonar_online = Model(
|
|
name = 'sonar-online',
|
|
base_provider = 'Perplexity AI',
|
|
best_provider = PerplexityLabs
|
|
)
|
|
|
|
sonar_chat = Model(
|
|
name = 'sonar-chat',
|
|
base_provider = 'Perplexity AI',
|
|
best_provider = PerplexityLabs
|
|
)
|
|
|
|
### Nvidia ###
|
|
nemotron_70b = Model(
|
|
name = 'nemotron-70b',
|
|
base_provider = 'Nvidia',
|
|
best_provider = IterListProvider([DeepInfraChat, HuggingChat, HuggingFace])
|
|
)
|
|
|
|
### Liquid ###
|
|
lfm_40b = Model(
|
|
name = 'lfm-40b',
|
|
base_provider = 'Liquid',
|
|
best_provider = PerplexityLabs
|
|
)
|
|
|
|
### Databricks ###
|
|
dbrx_instruct = Model(
|
|
name = 'dbrx-instruct',
|
|
base_provider = 'Databricks',
|
|
best_provider = Blackbox
|
|
)
|
|
|
|
### PollinationsAI ###
|
|
p1 = Model(
|
|
name = 'p1',
|
|
base_provider = 'PollinationsAI',
|
|
best_provider = PollinationsAI
|
|
)
|
|
|
|
### CablyAI ###
|
|
cably_80b = Model(
|
|
name = 'cably-80b',
|
|
base_provider = 'CablyAI',
|
|
best_provider = CablyAI
|
|
)
|
|
|
|
### THUDM ###
|
|
glm_4 = Model(
|
|
name = 'glm-4',
|
|
base_provider = 'THUDM',
|
|
best_provider = ChatGLM
|
|
)
|
|
|
|
### MiniMax
|
|
mini_max = Model(
|
|
name = "MiniMax",
|
|
base_provider = "MiniMax",
|
|
best_provider = HailuoAI
|
|
)
|
|
|
|
### Uncensored AI ###
|
|
evil = Model(
|
|
name = 'evil',
|
|
base_provider = 'Evil Mode - Experimental',
|
|
best_provider = PollinationsAI
|
|
)
|
|
|
|
|
|
#############
|
|
### Image ###
|
|
#############
|
|
|
|
### Stability AI ###
|
|
sdxl_turbo = ImageModel(
|
|
name = 'sdxl-turbo',
|
|
base_provider = 'Stability AI',
|
|
best_provider = IterListProvider([PollinationsAI, ImageLabs])
|
|
)
|
|
|
|
sd_3_5 = ImageModel(
|
|
name = 'sd-3.5',
|
|
base_provider = 'Stability AI',
|
|
best_provider = HuggingSpace
|
|
)
|
|
|
|
### Black Forest Labs ###
|
|
flux = ImageModel(
|
|
name = 'flux',
|
|
base_provider = 'Black Forest Labs',
|
|
best_provider = IterListProvider([Blackbox, PollinationsAI, HuggingSpace])
|
|
)
|
|
|
|
flux_pro = ImageModel(
|
|
name = 'flux-pro',
|
|
base_provider = 'Black Forest Labs',
|
|
best_provider = PollinationsAI
|
|
)
|
|
|
|
flux_dev = ImageModel(
|
|
name = 'flux-dev',
|
|
base_provider = 'Black Forest Labs',
|
|
best_provider = IterListProvider([HuggingSpace, HuggingChat, HuggingFace])
|
|
)
|
|
|
|
flux_schnell = ImageModel(
|
|
name = 'flux-schnell',
|
|
base_provider = 'Black Forest Labs',
|
|
best_provider = IterListProvider([HuggingSpace, HuggingChat, HuggingFace])
|
|
)
|
|
|
|
|
|
### OpenAI ###
|
|
dall_e_3 = ImageModel(
|
|
name = 'dall-e-3',
|
|
base_provider = 'OpenAI',
|
|
best_provider = IterListProvider([PollinationsAI, CopilotAccount, OpenaiAccount, MicrosoftDesigner, BingCreateImages])
|
|
)
|
|
|
|
### Midjourney ###
|
|
midjourney = ImageModel(
|
|
name = 'midjourney',
|
|
base_provider = 'Midjourney',
|
|
best_provider = PollinationsAI
|
|
)
|
|
|
|
class ModelUtils:
|
|
"""
|
|
Utility class for mapping string identifiers to Model instances.
|
|
|
|
Attributes:
|
|
convert (dict[str, Model]): Dictionary mapping model string identifiers to Model instances.
|
|
"""
|
|
convert: dict[str, Model] = {
|
|
############
|
|
### Text ###
|
|
############
|
|
|
|
### OpenAI ###
|
|
# gpt-3
|
|
'gpt-3': gpt_35_turbo,
|
|
|
|
# gpt-3.5
|
|
gpt_35_turbo.name: gpt_35_turbo,
|
|
|
|
# gpt-4
|
|
gpt_4.name: gpt_4,
|
|
|
|
# gpt-4o
|
|
gpt_4o.name: gpt_4o,
|
|
gpt_4o_mini.name: gpt_4o_mini,
|
|
|
|
# o1
|
|
o1.name: o1,
|
|
o1_preview.name: o1_preview,
|
|
o1_mini.name: o1_mini,
|
|
|
|
### Meta ###
|
|
meta.name: meta,
|
|
|
|
# llama-2
|
|
llama_2_7b.name: llama_2_7b,
|
|
|
|
# llama-3
|
|
llama_3_8b.name: llama_3_8b,
|
|
llama_3_70b.name: llama_3_70b,
|
|
|
|
# llama-3.1
|
|
llama_3_1_8b.name: llama_3_1_8b,
|
|
llama_3_1_70b.name: llama_3_1_70b,
|
|
llama_3_1_405b.name: llama_3_1_405b,
|
|
|
|
# llama-3.2
|
|
llama_3_2_1b.name: llama_3_2_1b,
|
|
llama_3_2_11b.name: llama_3_2_11b,
|
|
llama_3_2_70b.name: llama_3_2_70b,
|
|
llama_3_2_90b.name: llama_3_2_90b,
|
|
|
|
# llama-3.3
|
|
llama_3_3_70b.name: llama_3_3_70b,
|
|
|
|
### Mistral ###
|
|
mixtral_7b.name: mixtral_7b,
|
|
mixtral_8x7b.name: mixtral_8x7b,
|
|
mistral_nemo.name: mistral_nemo,
|
|
|
|
### NousResearch ###
|
|
hermes_2_dpo.name: hermes_2_dpo,
|
|
hermes_3.name: hermes_3,
|
|
|
|
### Microsoft ###
|
|
# phi
|
|
phi_3_5_mini.name: phi_3_5_mini,
|
|
|
|
# wizardlm
|
|
wizardlm_2_7b.name: wizardlm_2_7b,
|
|
wizardlm_2_8x22b.name: wizardlm_2_8x22b,
|
|
|
|
### Google ###
|
|
### Gemini
|
|
gemini.name: gemini,
|
|
gemini_exp.name: gemini_exp,
|
|
gemini_1_5_pro.name: gemini_1_5_pro,
|
|
gemini_1_5_flash.name: gemini_1_5_flash,
|
|
gemini_2_0_flash.name: gemini_2_0_flash,
|
|
gemini_2_0_flash_thinking.name: gemini_2_0_flash_thinking,
|
|
### Gemma
|
|
gemma_2_27b.name: gemma_2_27b,
|
|
|
|
### Anthropic ###
|
|
# claude 3
|
|
claude_3_opus.name: claude_3_opus,
|
|
claude_3_sonnet.name: claude_3_sonnet,
|
|
claude_3_haiku.name: claude_3_haiku,
|
|
|
|
# claude 3.5
|
|
claude_3_5_sonnet.name: claude_3_5_sonnet,
|
|
|
|
### Reka AI ###
|
|
reka_core.name: reka_core,
|
|
|
|
### Blackbox AI ###
|
|
blackboxai.name: blackboxai,
|
|
blackboxai_pro.name: blackboxai_pro,
|
|
|
|
### CohereForAI ###
|
|
command_r.name: command_r,
|
|
command_r_plus.name: command_r_plus,
|
|
command_r7b.name: command_r7b,
|
|
|
|
### GigaChat ###
|
|
gigachat.name: gigachat,
|
|
|
|
### Qwen ###
|
|
qwen_1_5_7b.name: qwen_1_5_7b,
|
|
qwen_2_72b.name: qwen_2_72b,
|
|
qwen_2_vl_7b.name: qwen_2_vl_7b,
|
|
qwen_2_5_72b.name: qwen_2_5_72b,
|
|
qwen_2_5_coder_32b.name: qwen_2_5_coder_32b,
|
|
|
|
# qwq/qvq
|
|
qwq_32b.name: qwq_32b,
|
|
qvq_72b.name: qvq_72b,
|
|
|
|
### Inflection ###
|
|
pi.name: pi,
|
|
|
|
### x.ai ###
|
|
grok_2.name: grok_2,
|
|
|
|
### Perplexity AI ###
|
|
sonar_online.name: sonar_online,
|
|
sonar_chat.name: sonar_chat,
|
|
|
|
### DeepSeek ###
|
|
deepseek_chat.name: deepseek_chat,
|
|
deepseek_r1.name: deepseek_r1,
|
|
|
|
nemotron_70b.name: nemotron_70b, ### Nvidia ###
|
|
lfm_40b.name: lfm_40b, ### Liquid ###
|
|
dbrx_instruct.name: dbrx_instruct, ### Databricks ###
|
|
p1.name: p1, ### PollinationsAI ###
|
|
cably_80b.name: cably_80b, ### CablyAI ###
|
|
glm_4.name: glm_4, ### THUDM ###
|
|
mini_max.name: mini_max, ## MiniMax
|
|
evil.name: evil, ### Uncensored AI ###
|
|
|
|
#############
|
|
### Image ###
|
|
#############
|
|
|
|
### Stability AI ###
|
|
sdxl_turbo.name: sdxl_turbo,
|
|
sd_3_5.name: sd_3_5,
|
|
|
|
### Flux AI ###
|
|
flux.name: flux,
|
|
flux_pro.name: flux_pro,
|
|
flux_dev.name: flux_dev,
|
|
flux_schnell.name: flux_schnell,
|
|
|
|
### OpenAI ###
|
|
dall_e_3.name: dall_e_3,
|
|
|
|
### Midjourney ###
|
|
midjourney.name: midjourney,
|
|
}
|
|
|
|
demo_models = {
|
|
gpt_4o.name: [gpt_4o, [PollinationsAI]],
|
|
"default": [llama_3_2_11b, [HuggingFaceAPI]],
|
|
qwen_2_vl_7b.name: [qwen_2_vl_7b, [HuggingFaceAPI]],
|
|
qvq_72b.name: [qvq_72b, [HuggingSpace]],
|
|
deepseek_r1.name: [deepseek_r1, [HuggingFace, HuggingFaceAPI]],
|
|
claude_3_haiku.name: [claude_3_haiku, [DDG]],
|
|
command_r.name: [command_r, [HuggingSpace]],
|
|
command_r_plus.name: [command_r_plus, [HuggingSpace]],
|
|
command_r7b.name: [command_r7b, [HuggingSpace]],
|
|
gemma_2_27b.name: [gemma_2_27b, [HuggingFaceAPI]],
|
|
qwen_2_72b.name: [qwen_2_72b, [HuggingFace]],
|
|
qwen_2_5_coder_32b.name: [qwen_2_5_coder_32b, [HuggingFace]],
|
|
qwq_32b.name: [qwq_32b, [HuggingFace]],
|
|
llama_3_3_70b.name: [llama_3_3_70b, [HuggingFace]],
|
|
sd_3_5.name: [sd_3_5, [HuggingSpace]],
|
|
flux_dev.name: [flux_dev, [HuggingSpace]],
|
|
flux_schnell.name: [flux_schnell, [HuggingFace]],
|
|
}
|
|
|
|
# Create a list of all models and his providers
|
|
__models__ = {
|
|
model.name: (model, providers)
|
|
for model, providers in [
|
|
(model, [provider for provider in model.best_provider.providers if provider.working]
|
|
if isinstance(model.best_provider, IterListProvider)
|
|
else [model.best_provider]
|
|
if model.best_provider is not None and model.best_provider.working
|
|
else [])
|
|
for model in ModelUtils.convert.values()]
|
|
if providers
|
|
}
|
|
_all_models = list(__models__.keys())
|