summaryrefslogtreecommitdiffstats
path: root/g4f/models.py
diff options
context:
space:
mode:
Diffstat (limited to '')
-rw-r--r--g4f/models.py616
1 files changed, 125 insertions, 491 deletions
diff --git a/g4f/models.py b/g4f/models.py
index 32a12d10..6d3ef2ad 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -6,58 +6,36 @@ from .Provider import IterListProvider, ProviderType
from .Provider import (
Ai4Chat,
AIChatFree,
- AiMathGPT,
Airforce,
+ AIUncensored,
Allyfy,
- AmigoChat,
Bing,
Blackbox,
ChatGpt,
Chatgpt4Online,
ChatGptEs,
- ChatgptFree,
- ChatHub,
- ChatifyAI,
Cloudflare,
DarkAI,
DDG,
- DeepInfra,
DeepInfraChat,
- Editee,
Free2GPT,
- FreeChatgpt,
FreeGpt,
FreeNetfly,
Gemini,
GeminiPro,
GizAI,
GigaChat,
- GPROChat,
HuggingChat,
HuggingFace,
- Koala,
Liaobots,
MagickPen,
+ Mhystical,
MetaAI,
- NexraBing,
- NexraBlackbox,
- NexraChatGPT,
- NexraDallE,
- NexraDallE2,
- NexraEmi,
- NexraFluxPro,
- NexraGeminiPro,
- NexraMidjourney,
- NexraQwen,
- NexraSD15,
- NexraSDLora,
- NexraSDTurbo,
OpenaiChat,
PerplexityLabs,
Pi,
Pizzagpt,
Reka,
- Replicate,
ReplicateHome,
RubiksAI,
TeachAnything,
@@ -91,8 +69,6 @@ default = Model(
base_provider = "",
best_provider = IterListProvider([
DDG,
- FreeChatgpt,
- HuggingChat,
Pizzagpt,
ReplicateHome,
Upstage,
@@ -101,14 +77,11 @@ default = Model(
MagickPen,
DeepInfraChat,
Airforce,
- ChatHub,
ChatGptEs,
- ChatHub,
- AmigoChat,
- ChatifyAI,
Cloudflare,
- Editee,
- AiMathGPT,
+ AIUncensored,
+ DarkAI,
+ Mhystical,
])
)
@@ -119,56 +92,49 @@ default = Model(
############
### OpenAI ###
-# gpt-3
-gpt_3 = Model(
- name = 'gpt-3',
- base_provider = 'OpenAI',
- best_provider = NexraChatGPT
-)
-
# gpt-3.5
gpt_35_turbo = Model(
name = 'gpt-3.5-turbo',
base_provider = 'OpenAI',
- best_provider = IterListProvider([Allyfy, NexraChatGPT, Airforce, DarkAI, Liaobots])
+ best_provider = IterListProvider([Airforce])
)
# gpt-4
gpt_4o = Model(
name = 'gpt-4o',
base_provider = 'OpenAI',
- best_provider = IterListProvider([NexraChatGPT, Blackbox, ChatGptEs, AmigoChat, DarkAI, Editee, GizAI, Airforce, Liaobots, OpenaiChat])
+ best_provider = IterListProvider([Blackbox, ChatGptEs, DarkAI, ChatGpt, 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])
+ best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, ChatGpt, Airforce, RubiksAI, MagickPen, Liaobots, OpenaiChat])
)
gpt_4_turbo = Model(
name = 'gpt-4-turbo',
base_provider = 'OpenAI',
- best_provider = IterListProvider([Liaobots, Airforce, Bing])
+ best_provider = IterListProvider([ChatGpt, Airforce, Liaobots, 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])
+ best_provider = IterListProvider([Mhystical, Chatgpt4Online, ChatGpt, 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
+ best_provider = None
)
o1_mini = Model(
name = 'o1-mini',
base_provider = 'OpenAI',
- best_provider = IterListProvider([AmigoChat, GizAI])
+ best_provider = None
)
@@ -191,104 +157,58 @@ meta = Model(
llama_2_7b = Model(
name = "llama-2-7b",
base_provider = "Meta Llama",
- best_provider = Cloudflare
-)
-
-llama_2_13b = Model(
- name = "llama-2-13b",
- base_provider = "Meta Llama",
- best_provider = Airforce
+ best_provider = IterListProvider([Cloudflare, Airforce])
)
-
# llama 3
llama_3_8b = Model(
name = "llama-3-8b",
base_provider = "Meta Llama",
- best_provider = IterListProvider([Cloudflare, Airforce, DeepInfra, Replicate])
-)
-
-llama_3_70b = Model(
- name = "llama-3-70b",
- base_provider = "Meta Llama",
- best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate])
+ best_provider = IterListProvider([Cloudflare])
)
# 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])
+ best_provider = IterListProvider([Blackbox, DeepInfraChat, Cloudflare, Airforce, 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])
+ best_provider = IterListProvider([DDG, DeepInfraChat, Blackbox, TeachAnything, DarkAI, Airforce, RubiksAI, HuggingChat, HuggingFace, PerplexityLabs])
)
llama_3_1_405b = Model(
name = "llama-3.1-405b",
base_provider = "Meta Llama",
- best_provider = IterListProvider([DeepInfraChat, Blackbox, AmigoChat, DarkAI, Airforce])
+ best_provider = IterListProvider([Blackbox, DarkAI])
)
# 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
+ best_provider = IterListProvider([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
+ best_provider = IterListProvider([HuggingChat, HuggingFace])
)
-
### Mistral ###
mistral_7b = Model(
name = "mistral-7b",
base_provider = "Mistral",
- best_provider = IterListProvider([DeepInfraChat, Cloudflare, Airforce, DeepInfra])
+ best_provider = IterListProvider([Free2GPT])
)
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])
+ best_provider = DDG
)
mistral_nemo = Model(
@@ -297,22 +217,16 @@ mistral_nemo = Model(
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",
+hermes_2_pro = Model(
+ name = "hermes-2-pro",
base_provider = "NousResearch",
best_provider = Airforce
)
-yi_34b = Model(
- name = "yi-34b",
+hermes_2_dpo = Model(
+ name = "hermes-2-dpo",
base_provider = "NousResearch",
best_provider = Airforce
)
@@ -328,13 +242,7 @@ hermes_3 = Model(
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
+ best_provider = IterListProvider([Airforce])
)
phi_3_5_mini = Model(
@@ -348,13 +256,13 @@ phi_3_5_mini = Model(
gemini_pro = Model(
name = 'gemini-pro',
base_provider = 'Google DeepMind',
- best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, AmigoChat, Editee, GizAI, Airforce, Liaobots])
+ best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, FreeGpt, Liaobots])
)
gemini_flash = Model(
name = 'gemini-flash',
base_provider = 'Google DeepMind',
- best_provider = IterListProvider([Blackbox, GizAI, Airforce, Liaobots])
+ best_provider = IterListProvider([Blackbox, GizAI, Liaobots])
)
gemini = Model(
@@ -364,41 +272,10 @@ gemini = Model(
)
# 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
+ best_provider = ReplicateHome
)
@@ -413,26 +290,26 @@ claude_2_1 = Model(
claude_3_opus = Model(
name = 'claude-3-opus',
base_provider = 'Anthropic',
- best_provider = IterListProvider([Airforce, Liaobots])
+ best_provider = IterListProvider([Liaobots])
)
claude_3_sonnet = Model(
name = 'claude-3-sonnet',
base_provider = 'Anthropic',
- best_provider = IterListProvider([Airforce, Liaobots])
+ best_provider = IterListProvider([Liaobots])
)
claude_3_haiku = Model(
name = 'claude-3-haiku',
base_provider = 'Anthropic',
- best_provider = IterListProvider([DDG, Airforce, GizAI, Liaobots])
+ best_provider = IterListProvider([DDG, 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])
+ best_provider = IterListProvider([Blackbox, Liaobots])
)
@@ -448,7 +325,7 @@ reka_core = Model(
blackboxai = Model(
name = 'blackboxai',
base_provider = 'Blackbox AI',
- best_provider = IterListProvider([Blackbox, NexraBlackbox])
+ best_provider = Blackbox
)
blackboxai_pro = Model(
@@ -457,15 +334,6 @@ blackboxai_pro = Model(
best_provider = Blackbox
)
-
-### Databricks ###
-dbrx_instruct = Model(
- name = 'dbrx-instruct',
- base_provider = 'Databricks',
- best_provider = IterListProvider([Airforce, DeepInfra])
-)
-
-
### CohereForAI ###
command_r_plus = Model(
name = 'command-r-plus',
@@ -474,100 +342,35 @@ command_r_plus = Model(
)
-### iFlytek ###
-sparkdesk_v1_1 = Model(
- name = 'sparkdesk-v1.1',
- base_provider = 'iFlytek',
- best_provider = FreeChatgpt
-)
-
-
### Qwen ###
-# qwen 1
-qwen_1_5_0_5b = Model(
- name = 'qwen-1.5-0.5b',
- base_provider = 'Qwen',
- best_provider = Cloudflare
-)
-
+# qwen 1_5
qwen_1_5_7b = Model(
name = 'qwen-1.5-7b',
base_provider = 'Qwen',
- best_provider = IterListProvider([Cloudflare, Airforce])
-)
-
-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
+ best_provider = Cloudflare
)
# qwen 2
qwen_2_72b = Model(
name = 'qwen-2-72b',
base_provider = 'Qwen',
- best_provider = IterListProvider([DeepInfraChat, HuggingChat, Airforce, HuggingFace])
+ best_provider = IterListProvider([DeepInfraChat, HuggingChat, HuggingFace])
)
-qwen = Model(
- name = 'qwen',
+# qwen 2.5
+qwen_2_5_coder_32b = Model(
+ name = 'qwen-2.5-coder-32b',
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
+ best_provider = IterListProvider([HuggingChat, HuggingFace])
)
### Upstage ###
-solar_1_mini = Model(
- name = 'solar-1-mini',
+solar_mini = Model(
+ name = 'solar-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',
@@ -583,23 +386,17 @@ pi = Model(
)
### DeepSeek ###
-deepseek = Model(
- name = 'deepseek',
+deepseek_coder = Model(
+ name = 'deepseek-coder',
base_provider = 'DeepSeek',
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 = IterListProvider([DeepInfraChat, Airforce])
+ best_provider = IterListProvider([DeepInfraChat])
)
### Yorickvp ###
@@ -609,50 +406,11 @@ 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_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
+ best_provider = Airforce
)
@@ -669,12 +427,18 @@ grok_2_mini = Model(
best_provider = Liaobots
)
+grok_beta = Model(
+ name = 'grok-beta',
+ base_provider = 'x.ai',
+ best_provider = Liaobots
+)
+
### Perplexity AI ###
sonar_online = Model(
name = 'sonar-online',
base_provider = 'Perplexity AI',
- best_provider = IterListProvider([ChatHub, PerplexityLabs])
+ best_provider = IterListProvider([PerplexityLabs])
)
sonar_chat = Model(
@@ -683,51 +447,49 @@ sonar_chat = Model(
best_provider = PerplexityLabs
)
-
-### Gryphe ###
-mythomax_l2_13b = Model(
- name = 'mythomax-l2-13b',
- base_provider = 'Gryphe',
- best_provider = Airforce
+### Nvidia ###
+nemotron_70b = Model(
+ name = 'nemotron-70b',
+ base_provider = 'Nvidia',
+ best_provider = IterListProvider([HuggingChat, HuggingFace])
)
-### Pawan ###
-cosmosrp = Model(
- name = 'cosmosrp',
- base_provider = 'Pawan',
+### Teknium ###
+openhermes_2_5 = Model(
+ name = 'openhermes-2.5',
+ base_provider = 'Teknium',
best_provider = Airforce
)
-
-### TheBloke ###
-german_7b = Model(
- name = 'german-7b',
- base_provider = 'TheBloke',
- best_provider = Cloudflare
+### Liquid ###
+lfm_40b = Model(
+ name = 'lfm-40b',
+ base_provider = 'Liquid',
+ best_provider = IterListProvider([Airforce, PerplexityLabs])
)
-### Tinyllama ###
-tinyllama_1_1b = Model(
- name = 'tinyllama-1.1b',
- base_provider = 'Tinyllama',
- best_provider = Cloudflare
+### DiscoResearch ###
+german_7b = Model(
+ name = 'german-7b',
+ base_provider = 'DiscoResearch',
+ best_provider = Airforce
)
-### Fblgit ###
-cybertron_7b = Model(
- name = 'cybertron-7b',
- base_provider = 'Fblgit',
- best_provider = Cloudflare
+### HuggingFaceH4 ###
+zephyr_7b = Model(
+ name = 'zephyr-7b',
+ base_provider = 'HuggingFaceH4',
+ best_provider = Airforce
)
-### Nvidia ###
-nemotron_70b = Model(
- name = 'nemotron-70b',
- base_provider = 'Nvidia',
- best_provider = IterListProvider([HuggingChat, HuggingFace])
+### Inferless ###
+neural_7b = Model(
+ name = 'neural-7b',
+ base_provider = 'inferless',
+ best_provider = Airforce
)
@@ -737,20 +499,6 @@ nemotron_70b = Model(
#############
### 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',
@@ -758,13 +506,6 @@ sdxl = Model(
)
-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',
@@ -772,13 +513,6 @@ sd_3 = Model(
)
-sd_3_5 = Model(
- name = 'sd-3.5',
- base_provider = 'Stability AI',
- best_provider = GizAI
-
-)
-
### Playground ###
playground_v2_5 = Model(
name = 'playground-v2.5',
@@ -792,21 +526,21 @@ playground_v2_5 = Model(
flux = Model(
name = 'flux',
base_provider = 'Flux AI',
- best_provider = IterListProvider([Airforce, Blackbox])
+ best_provider = IterListProvider([Blackbox, AIUncensored, Airforce])
)
flux_pro = Model(
name = 'flux-pro',
base_provider = 'Flux AI',
- best_provider = IterListProvider([NexraFluxPro, AmigoChat])
+ best_provider = IterListProvider([Airforce])
)
flux_realism = Model(
name = 'flux-realism',
base_provider = 'Flux AI',
- best_provider = IterListProvider([Airforce, AmigoChat])
+ best_provider = IterListProvider([Airforce])
)
@@ -845,45 +579,9 @@ flux_4o = Model(
)
-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 = '',
@@ -905,9 +603,6 @@ class ModelUtils:
############
### OpenAI ###
-# gpt-3
-'gpt-3': gpt_3,
-
# gpt-3.5
'gpt-3.5-turbo': gpt_35_turbo,
@@ -927,11 +622,9 @@ class ModelUtils:
# 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,
@@ -940,35 +633,26 @@ class ModelUtils:
# 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-2-pro': hermes_2_pro,
+'hermes-2-dpo': hermes_2_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,
@@ -977,13 +661,6 @@ class ModelUtils:
# 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 ###
@@ -1010,50 +687,34 @@ class ModelUtils:
### 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
'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
'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,
-
+
+# qwen 2.5
+'qwen-2.5-coder-32b': qwen_2_5_coder_32b,
+
### Upstage ###
-'solar-mini': solar_1_mini,
-'solar-10-7b': solar_10_7b,
+'solar-mini': solar_mini,
'solar-pro': solar_pro,
### Inflection ###
'pi': pi,
+
### DeepSeek ###
-'deepseek': deepseek,
+'deepseek-coder': deepseek_coder,
### Yorickvp ###
@@ -1061,63 +722,50 @@ class ModelUtils:
### 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,
+'grok-beta': grok_beta,
### Perplexity AI ###
'sonar-online': sonar_online,
'sonar-chat': sonar_chat,
+
+
+### TheBloke ###
+'german-7b': german_7b,
+
+
+### Nvidia ###
+'nemotron-70b': nemotron_70b,
-### Gryphe ###
-'mythomax-l2-13b': sonar_chat,
-
-
-### Pawan ###
-'cosmosrp': cosmosrp,
+### Teknium ###
+'openhermes-2.5': openhermes_2_5,
+
+### Liquid ###
+'lfm-40b': lfm_40b,
+
-### TheBloke ###
+### DiscoResearch ###
'german-7b': german_7b,
-### Tinyllama ###
-'tinyllama-1.1b': tinyllama_1_1b,
+### HuggingFaceH4 ###
+'zephyr-7b': zephyr_7b,
-### Fblgit ###
-'cybertron-7b': cybertron_7b,
-
-
-### Nvidia ###
-'nemotron-70b': nemotron_70b,
+### Inferless ###
+'neural-7b': neural_7b,
@@ -1127,11 +775,7 @@ class ModelUtils:
### 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 ###
@@ -1147,19 +791,9 @@ class ModelUtils:
'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,
}