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-rw-r--r--g4f/models.py460
1 files changed, 324 insertions, 136 deletions
diff --git a/g4f/models.py b/g4f/models.py
index c985ddd3..2940b96a 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -4,21 +4,22 @@ from dataclasses import dataclass
from .Provider import IterListProvider, ProviderType
from .Provider import (
- AiChatOnline,
+ AIChatFree,
Airforce,
Allyfy,
Bing,
Binjie,
Bixin123,
Blackbox,
- ChatGot,
- Chatgpt4Online,
ChatGpt,
Chatgpt4o,
+ Chatgpt4Online,
+ ChatGptEs,
ChatgptFree,
- CodeNews,
+ ChatHub,
DDG,
DeepInfra,
+ DeepInfraChat,
DeepInfraImage,
Free2GPT,
FreeChatgpt,
@@ -27,10 +28,12 @@ from .Provider import (
Gemini,
GeminiPro,
GigaChat,
+ GPROChat,
HuggingChat,
HuggingFace,
Koala,
Liaobots,
+ LiteIcoding,
MagickPen,
MetaAI,
Nexra,
@@ -41,9 +44,7 @@ from .Provider import (
Reka,
Replicate,
ReplicateHome,
- Snova,
TeachAnything,
- TwitterBio,
Upstage,
You,
)
@@ -76,7 +77,6 @@ default = Model(
FreeChatgpt,
HuggingChat,
Pizzagpt,
- ChatgptFree,
ReplicateHome,
Upstage,
Blackbox,
@@ -84,6 +84,8 @@ default = Model(
Binjie,
Free2GPT,
MagickPen,
+ DeepInfraChat,
+ LiteIcoding,
])
)
@@ -96,9 +98,7 @@ default = Model(
gpt_3 = Model(
name = 'gpt-3',
base_provider = 'OpenAI',
- best_provider = IterListProvider([
- Nexra,
- ])
+ best_provider = Nexra
)
# gpt-3.5
@@ -106,7 +106,7 @@ gpt_35_turbo = Model(
name = 'gpt-3.5-turbo',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- Allyfy, TwitterBio, Nexra, Bixin123, CodeNews, Airforce,
+ Allyfy, Nexra, Bixin123, Airforce,
])
)
@@ -115,7 +115,7 @@ gpt_4o = Model(
name = 'gpt-4o',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- Liaobots, Chatgpt4o, Airforce,
+ Liaobots, Nexra, Airforce, Chatgpt4o, ChatGptEs,
OpenaiChat
])
)
@@ -124,8 +124,8 @@ gpt_4o_mini = Model(
name = 'gpt-4o-mini',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- DDG, Liaobots, You, FreeNetfly, Pizzagpt, ChatgptFree, AiChatOnline, CodeNews, MagickPen, Airforce,
- OpenaiChat, Koala, ChatGpt
+ DDG, ChatGptEs, You, FreeNetfly, Pizzagpt, LiteIcoding, MagickPen, Liaobots, Airforce, ChatgptFree, Koala,
+ OpenaiChat, ChatGpt
])
)
@@ -141,11 +141,13 @@ gpt_4 = Model(
name = 'gpt-4',
base_provider = 'OpenAI',
best_provider = IterListProvider([
- Chatgpt4Online, Nexra, Binjie, Airforce, Bing,
- gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider
+ Nexra, Binjie, Airforce,
+ gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider,
+ Chatgpt4Online, Bing, OpenaiChat,
])
)
+
### GigaChat ###
gigachat = Model(
name = 'GigaChat:latest',
@@ -161,40 +163,55 @@ meta = Model(
best_provider = MetaAI
)
+# llama 2
llama_2_13b = Model(
name = "llama-2-13b",
- base_provider = "Meta",
- best_provider = IterListProvider([Airforce])
+ base_provider = "Meta Llama",
+ best_provider = Airforce
)
+# llama 3
llama_3_8b = Model(
name = "llama-3-8b",
- base_provider = "Meta",
+ base_provider = "Meta Llama",
best_provider = IterListProvider([Airforce, DeepInfra, Replicate])
)
llama_3_70b = Model(
name = "llama-3-70b",
- base_provider = "Meta",
+ base_provider = "Meta Llama",
best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate])
)
+llama_3 = Model(
+ name = "llama-3",
+ base_provider = "Meta Llama",
+ best_provider = IterListProvider([llama_3_8b.best_provider, llama_3_70b.best_provider])
+)
+
+# llama 3.1
llama_3_1_8b = Model(
name = "llama-3.1-8b",
- base_provider = "Meta",
- best_provider = IterListProvider([Blackbox, Airforce, PerplexityLabs])
+ base_provider = "Meta Llama",
+ best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Airforce, PerplexityLabs])
)
llama_3_1_70b = Model(
name = "llama-3.1-70b",
- base_provider = "Meta",
- best_provider = IterListProvider([DDG, HuggingChat, FreeGpt, Blackbox, TeachAnything, Free2GPT, Airforce, HuggingFace, PerplexityLabs])
+ base_provider = "Meta Llama",
+ best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, Airforce, HuggingFace, PerplexityLabs])
)
llama_3_1_405b = Model(
name = "llama-3.1-405b",
- base_provider = "Meta",
- best_provider = IterListProvider([Blackbox, Airforce])
+ base_provider = "Meta Llama",
+ best_provider = IterListProvider([Blackbox, DeepInfraChat, Airforce])
+)
+
+llama_3_1 = Model(
+ name = "llama-3.1",
+ base_provider = "Meta Llama",
+ best_provider = IterListProvider([Nexra, llama_3_1_8b.best_provider, llama_3_1_70b.best_provider, llama_3_1_405b.best_provider,])
)
@@ -202,19 +219,25 @@ llama_3_1_405b = Model(
mistral_7b = Model(
name = "mistral-7b",
base_provider = "Mistral",
- best_provider = IterListProvider([HuggingChat, Airforce, HuggingFace, DeepInfra])
+ best_provider = IterListProvider([HuggingChat, DeepInfraChat, Airforce, HuggingFace, DeepInfra])
)
mixtral_8x7b = Model(
name = "mixtral-8x7b",
base_provider = "Mistral",
- best_provider = IterListProvider([HuggingChat, DDG, ReplicateHome, TwitterBio, Airforce, DeepInfra, HuggingFace])
+ best_provider = IterListProvider([DDG, ReplicateHome, DeepInfraChat, ChatHub, Airforce, DeepInfra])
)
mixtral_8x22b = Model(
name = "mixtral-8x22b",
base_provider = "Mistral",
- best_provider = IterListProvider([Airforce])
+ best_provider = IterListProvider([DeepInfraChat, Airforce])
+)
+
+mistral_nemo = Model(
+ name = "mistral-nemo",
+ base_provider = "Mistral",
+ best_provider = IterListProvider([HuggingChat, HuggingFace])
)
@@ -222,111 +245,142 @@ mixtral_8x22b = Model(
mixtral_8x7b_dpo = Model(
name = "mixtral-8x7b-dpo",
base_provider = "NousResearch",
- best_provider = IterListProvider([HuggingChat, Airforce, HuggingFace])
+ best_provider = Airforce
)
-yi_34b = Model(
- name = 'yi-34b',
- base_provider = 'NousResearch',
- best_provider = IterListProvider([Airforce])
+hermes_3 = Model(
+ name = "hermes-3",
+ base_provider = "NousResearch",
+ best_provider = IterListProvider([HuggingChat, HuggingFace])
)
### Microsoft ###
-phi_3_mini_4k = Model(
- name = "phi-3-mini-4k",
+phi_3_medium_4k = Model(
+ name = "phi-3-medium-4k",
base_provider = "Microsoft",
- best_provider = IterListProvider([HuggingChat, HuggingFace])
+ best_provider = DeepInfraChat
)
+phi_3_5_mini = Model(
+ name = "phi-3.5-mini",
+ base_provider = "Microsoft",
+ best_provider = IterListProvider([HuggingChat, HuggingFace])
+)
-### Google ###
+### Google DeepMind ###
# gemini
gemini_pro = Model(
name = 'gemini-pro',
- base_provider = 'Google',
- best_provider = IterListProvider([GeminiPro, ChatGot, Liaobots, Airforce])
+ base_provider = 'Google DeepMind',
+ best_provider = IterListProvider([GeminiPro, LiteIcoding, Blackbox, AIChatFree, GPROChat, Nexra, Liaobots, Airforce])
)
gemini_flash = Model(
name = 'gemini-flash',
- base_provider = 'Google',
+ base_provider = 'Google DeepMind',
best_provider = IterListProvider([Blackbox, Liaobots, Airforce])
)
gemini = Model(
name = 'gemini',
- base_provider = 'Google',
- best_provider = IterListProvider([
- Gemini,
- gemini_flash.best_provider, gemini_pro.best_provider
- ])
+ base_provider = 'Google DeepMind',
+ best_provider = IterListProvider([Gemini, gemini_flash.best_provider, gemini_pro.best_provider])
)
-
# gemma
-gemma_2b = Model(
- name = 'gemma-2b',
- base_provider = 'Google',
- best_provider = IterListProvider([ReplicateHome, Airforce])
-)
-
gemma_2b_9b = Model(
name = 'gemma-2b-9b',
base_provider = 'Google',
- best_provider = IterListProvider([Airforce])
+ best_provider = Airforce
)
gemma_2b_27b = Model(
name = 'gemma-2b-27b',
base_provider = 'Google',
- best_provider = IterListProvider([Airforce])
+ best_provider = IterListProvider([DeepInfraChat, Airforce])
)
+gemma_2b = Model(
+ name = 'gemma-2b',
+ base_provider = 'Google',
+ best_provider = IterListProvider([
+ ReplicateHome, Airforce,
+ gemma_2b_9b.best_provider, gemma_2b_27b.best_provider,
+ ])
+)
+
+gemma_2 = Model(
+ name = 'gemma-2',
+ base_provider = 'Google',
+ best_provider = ChatHub
+)
+
+
### Anthropic ###
claude_2 = Model(
name = 'claude-2',
base_provider = 'Anthropic',
- best_provider = IterListProvider([You])
+ best_provider = You
)
claude_2_0 = Model(
name = 'claude-2.0',
base_provider = 'Anthropic',
- best_provider = IterListProvider([Liaobots])
+ best_provider = Liaobots
)
claude_2_1 = Model(
name = 'claude-2.1',
base_provider = 'Anthropic',
- best_provider = IterListProvider([Liaobots])
+ best_provider = Liaobots
)
+# claude 3
claude_3_opus = Model(
name = 'claude-3-opus',
base_provider = 'Anthropic',
- best_provider = IterListProvider([Liaobots])
+ best_provider = Liaobots
)
claude_3_sonnet = Model(
name = 'claude-3-sonnet',
base_provider = 'Anthropic',
- best_provider = IterListProvider([Liaobots])
+ best_provider = Liaobots
+)
+
+claude_3_haiku = Model(
+ name = 'claude-3-haiku',
+ base_provider = 'Anthropic',
+ best_provider = IterListProvider([DDG, Liaobots])
+)
+
+claude_3 = Model(
+ name = 'claude-3',
+ base_provider = 'Anthropic',
+ best_provider = IterListProvider([
+ claude_3_opus.best_provider, claude_3_sonnet.best_provider, claude_3_haiku.best_provider
+ ])
)
+# claude 3.5
claude_3_5_sonnet = Model(
- name = 'claude-3-5-sonnet',
+ name = 'claude-3.5-sonnet',
base_provider = 'Anthropic',
- best_provider = IterListProvider([Liaobots])
+ best_provider = IterListProvider([Blackbox, Liaobots])
)
-claude_3_haiku = Model(
- name = 'claude-3-haiku',
+claude_3_5 = Model(
+ name = 'claude-3.5',
base_provider = 'Anthropic',
- best_provider = IterListProvider([DDG, Liaobots])
+ best_provider = IterListProvider([
+ LiteIcoding,
+ claude_3_5_sonnet.best_provider
+ ])
)
+
### Reka AI ###
reka_core = Model(
name = 'reka-core',
@@ -335,10 +389,10 @@ reka_core = Model(
)
-### Blackbox ###
+### Blackbox AI ###
blackbox = Model(
name = 'blackbox',
- base_provider = 'Blackbox',
+ base_provider = 'Blackbox AI',
best_provider = Blackbox
)
@@ -355,7 +409,7 @@ dbrx_instruct = Model(
command_r_plus = Model(
name = 'command-r-plus',
base_provider = 'CohereForAI',
- best_provider = IterListProvider([HuggingChat])
+ best_provider = HuggingChat
)
@@ -366,35 +420,42 @@ sparkdesk_v1_1 = Model(
best_provider = IterListProvider([FreeChatgpt, Airforce])
)
+
### Qwen ###
qwen_1_5_14b = Model(
name = 'qwen-1.5-14b',
base_provider = 'Qwen',
- best_provider = IterListProvider([FreeChatgpt])
+ best_provider = FreeChatgpt
)
qwen_1_5_72b = Model(
name = 'qwen-1.5-72b',
base_provider = 'Qwen',
- best_provider = IterListProvider([Airforce])
+ best_provider = Airforce
)
qwen_1_5_110b = Model(
name = 'qwen-1.5-110b',
base_provider = 'Qwen',
- best_provider = IterListProvider([Airforce])
+ best_provider = Airforce
)
qwen_2_72b = Model(
name = 'qwen-2-72b',
base_provider = 'Qwen',
- best_provider = IterListProvider([Airforce])
+ best_provider = IterListProvider([DeepInfraChat, HuggingChat, Airforce, HuggingFace])
)
qwen_turbo = Model(
name = 'qwen-turbo',
base_provider = 'Qwen',
- best_provider = IterListProvider([Bixin123])
+ best_provider = Bixin123
+)
+
+qwen = Model(
+ name = 'qwen',
+ base_provider = 'Qwen',
+ best_provider = IterListProvider([Nexra, qwen_1_5_14b.best_provider, qwen_1_5_72b.best_provider, qwen_1_5_110b.best_provider, qwen_2_72b.best_provider, qwen_turbo.best_provider])
)
@@ -402,36 +463,43 @@ qwen_turbo = Model(
glm_3_6b = Model(
name = 'glm-3-6b',
base_provider = 'Zhipu AI',
- best_provider = IterListProvider([FreeChatgpt])
+ best_provider = FreeChatgpt
)
glm_4_9b = Model(
name = 'glm-4-9B',
base_provider = 'Zhipu AI',
- best_provider = IterListProvider([FreeChatgpt])
+ best_provider = FreeChatgpt
)
glm_4 = Model(
name = 'glm-4',
base_provider = 'Zhipu AI',
best_provider = IterListProvider([
- CodeNews,
glm_3_6b.best_provider, glm_4_9b.best_provider
])
)
+
### 01-ai ###
yi_1_5_9b = Model(
name = 'yi-1.5-9b',
base_provider = '01-ai',
- best_provider = IterListProvider([FreeChatgpt])
+ best_provider = FreeChatgpt
)
+yi_34b = Model(
+ name = 'yi-34b',
+ base_provider = '01-ai',
+ best_provider = Airforce
+)
+
+
### Upstage ###
solar_1_mini = Model(
name = 'solar-1-mini',
base_provider = 'Upstage',
- best_provider = IterListProvider([Upstage])
+ best_provider = Upstage
)
solar_10_7b = Model(
@@ -440,47 +508,38 @@ solar_10_7b = Model(
best_provider = Airforce
)
+solar_pro = Model(
+ name = 'solar-pro',
+ base_provider = 'Upstage',
+ best_provider = Upstage
+)
+
-### Pi ###
+### Inflection ###
pi = Model(
name = 'pi',
- base_provider = 'inflection',
+ base_provider = 'Inflection',
best_provider = Pi
)
-### SambaNova ###
-samba_coe_v0_1 = Model(
- name = 'samba-coe-v0.1',
- base_provider = 'SambaNova',
- best_provider = Snova
-)
-
-### Trong-Hieu Nguyen-Mau ###
-v1olet_merged_7b = Model(
- name = 'v1olet-merged-7b',
- base_provider = 'Trong-Hieu Nguyen-Mau',
- best_provider = Snova
-)
-
-### Macadeliccc ###
-westlake_7b_v2 = Model(
- name = 'westlake-7b-v2',
- base_provider = 'Macadeliccc',
- best_provider = Snova
-)
-
### DeepSeek ###
deepseek = Model(
name = 'deepseek',
base_provider = 'DeepSeek',
- best_provider = IterListProvider([CodeNews, Airforce])
+ best_provider = Airforce
)
### WizardLM ###
+wizardlm_2_7b = Model(
+ name = 'wizardlm-2-7b',
+ base_provider = 'WizardLM',
+ best_provider = DeepInfraChat
+)
+
wizardlm_2_8x22b = Model(
name = 'wizardlm-2-8x22b',
base_provider = 'WizardLM',
- best_provider = Airforce
+ best_provider = IterListProvider([DeepInfraChat, Airforce])
)
### Together ###
@@ -490,6 +549,7 @@ sh_n_7b = Model(
best_provider = Airforce
)
+
### Yorickvp ###
llava_13b = Model(
name = 'llava-13b',
@@ -497,6 +557,75 @@ llava_13b = Model(
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_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
+)
+
+
+
#############
### Image ###
#############
@@ -505,7 +634,7 @@ llava_13b = Model(
sdxl = Model(
name = 'sdxl',
base_provider = 'Stability AI',
- best_provider = IterListProvider([ReplicateHome, DeepInfraImage])
+ best_provider = IterListProvider([ReplicateHome, Nexra, DeepInfraImage])
)
@@ -516,10 +645,11 @@ sd_3 = Model(
)
+
### Playground ###
playground_v2_5 = Model(
name = 'playground-v2.5',
- base_provider = 'Stability AI',
+ base_provider = 'Playground AI',
best_provider = IterListProvider([ReplicateHome])
)
@@ -528,7 +658,7 @@ playground_v2_5 = Model(
flux = Model(
name = 'flux',
base_provider = 'Flux AI',
- best_provider = IterListProvider([Airforce])
+ best_provider = IterListProvider([Airforce, Blackbox])
)
@@ -567,6 +697,13 @@ flux_pixel = Model(
)
+flux_4o = Model(
+ name = 'flux-4o',
+ base_provider = 'Flux AI',
+ best_provider = IterListProvider([Airforce])
+
+)
+
flux_schnell = Model(
name = 'flux-schnell',
base_provider = 'Flux AI',
@@ -574,18 +711,25 @@ flux_schnell = Model(
)
+
### ###
-dalle = Model(
- name = 'dalle',
+dalle_2 = Model(
+ name = 'dalle-2',
base_provider = '',
best_provider = IterListProvider([Nexra])
)
+dalle_3 = Model(
+ name = 'dalle-3',
+ base_provider = '',
+ best_provider = IterListProvider([Airforce])
+
+)
-dalle_2 = Model(
- name = 'dalle-2',
+dalle = Model(
+ name = 'dalle',
base_provider = '',
- best_provider = IterListProvider([Nexra])
+ best_provider = IterListProvider([Nexra, dalle_2.best_provider, dalle_3.best_provider])
)
@@ -596,6 +740,7 @@ dalle_mini = Model(
)
+### Other ###
emi = Model(
name = 'emi',
base_provider = '',
@@ -610,6 +755,13 @@ any_dark = Model(
)
+prodia = Model(
+ name = 'prodia',
+ base_provider = '',
+ best_provider = IterListProvider([Nexra])
+
+)
+
class ModelUtils:
"""
Utility class for mapping string identifiers to Model instances.
@@ -631,11 +783,11 @@ class ModelUtils:
'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,
-
+'gpt-4o': gpt_4o,
+'gpt-4o-mini': gpt_4o_mini,
+'gpt-4': gpt_4,
+'gpt-4-turbo': gpt_4_turbo,
+
### Meta ###
"meta-ai": meta,
@@ -644,10 +796,12 @@ class ModelUtils:
'llama-2-13b': llama_2_13b,
# llama-3
+'llama-3': llama_3,
'llama-3-8b': llama_3_8b,
'llama-3-70b': llama_3_70b,
# llama-3.1
+'llama-3.1': 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,
@@ -657,17 +811,19 @@ class ModelUtils:
'mistral-7b': mistral_7b,
'mixtral-8x7b': mixtral_8x7b,
'mixtral-8x22b': mixtral_8x22b,
+'mistral-nemo': mistral_nemo,
### NousResearch ###
-'mixtral-8x7b-dpo': mixtral_8x7b_dpo,
+'mixtral-8x7b-dpo': mixtral_8x7b_dpo,
+'hermes-3': hermes_3,
'yi-34b': yi_34b,
### Microsoft ###
-'phi-3-mini-4k': phi_3_mini_4k,
-
+'phi_3_medium-4k': phi_3_medium_4k,
+'phi-3.5-mini': phi_3_5_mini,
### Google ###
# gemini
@@ -679,24 +835,30 @@ class ModelUtils:
'gemma-2b': gemma_2b,
'gemma-2b-9b': gemma_2b_9b,
'gemma-2b-27b': gemma_2b_27b,
+'gemma-2': gemma_2,
### Anthropic ###
'claude-2': claude_2,
'claude-2.0': claude_2_0,
'claude-2.1': claude_2_1,
-
+
+# claude 3
+'claude-3': claude_3,
'claude-3-opus': claude_3_opus,
'claude-3-sonnet': claude_3_sonnet,
'claude-3-haiku': claude_3_haiku,
-'claude-3-5-sonnet': claude_3_5_sonnet,
+
+# claude 3.5
+'claude-3.5': claude_3_5,
+'claude-3.5-sonnet': claude_3_5_sonnet,
### Reka AI ###
'reka-core': reka_core,
-### Blackbox ###
+### Blackbox AI ###
'blackbox': blackbox,
@@ -717,6 +879,7 @@ class ModelUtils:
### Qwen ###
+'qwen': qwen,
'qwen-1.5-14b': qwen_1_5_14b,
'qwen-1.5-72b': qwen_1_5_72b,
'qwen-1.5-110b': qwen_1_5_110b,
@@ -737,24 +900,12 @@ class ModelUtils:
### Upstage ###
'solar-1-mini': solar_1_mini,
'solar-10-7b': solar_10_7b,
+'solar-pro': solar_pro,
-### Pi ###
+### Inflection ###
'pi': pi,
-
-### SambaNova ###
-'samba-coe-v0.1': samba_coe_v0_1,
-
-
-### Trong-Hieu Nguyen-Mau ###
-'v1olet-merged-7b': v1olet_merged_7b,
-
-
-### Macadeliccc ###
-'westlake-7b-v2': westlake_7b_v2,
-
-
### DeepSeek ###
'deepseek': deepseek,
@@ -765,6 +916,40 @@ class ModelUtils:
### 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-3.6-8b': 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,
@@ -788,15 +973,18 @@ class ModelUtils:
'flux-3d': flux_3d,
'flux-disney': flux_disney,
'flux-pixel': flux_pixel,
+'flux-4o': flux_4o,
'flux-schnell': flux_schnell,
### ###
'dalle': dalle,
'dalle-2': dalle_2,
+'dalle-3': dalle_3,
'dalle-mini': dalle_mini,
'emi': emi,
'any-dark': any_dark,
+'prodia': prodia,
}
_all_models = list(ModelUtils.convert.keys())
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-07 14:16:30 +0100