diff options
Diffstat (limited to 'g4f/models.py')
-rw-r--r-- | g4f/models.py | 844 |
1 files changed, 574 insertions, 270 deletions
diff --git a/g4f/models.py b/g4f/models.py index e9016561..877f6d42 100644 --- a/g4f/models.py +++ b/g4f/models.py @@ -4,36 +4,50 @@ from dataclasses import dataclass from .Provider import IterListProvider, ProviderType from .Provider import ( - AI365VIP, - Bing, - Blackbox, - Chatgpt4o, - ChatgptFree, - DDG, - DeepInfra, - DeepInfraImage, - FreeChatgpt, - FreeGpt, - Gemini, - GeminiPro, - GeminiProChat, - GigaChat, - HuggingChat, - HuggingFace, - Koala, - Liaobots, - MetaAI, - OpenaiChat, - PerplexityLabs, - Pi, - Pizzagpt, - Reka, - Replicate, - ReplicateHome, - Vercel, - You, + AiChatOnline, + Airforce, + Allyfy, + Bing, + Binjie, + Bixin123, + Blackbox, + ChatGot, + Chatgpt4Online, + Chatgpt4o, + ChatgptFree, + CodeNews, + DDG, + DeepInfra, + DeepInfraImage, + Free2GPT, + FreeChatgpt, + FreeGpt, + FreeNetfly, + Gemini, + GeminiPro, + GigaChat, + HuggingChat, + HuggingFace, + Koala, + Liaobots, + MagickPen, + MetaAI, + Nexra, + OpenaiChat, + PerplexityLabs, + Pi, + Pizzagpt, + Reka, + Replicate, + ReplicateHome, + Snova, + TeachAnything, + TwitterBio, + Upstage, + You, ) + @dataclass(unsafe_hash=True) class Model: """ @@ -57,33 +71,18 @@ default = Model( name = "", base_provider = "", best_provider = IterListProvider([ - Bing, - You, - OpenaiChat, - FreeChatgpt, - AI365VIP, - Chatgpt4o, DDG, - ChatgptFree, - Koala, - Pizzagpt, - ]) -) - -# GPT-3.5 too, but all providers supports long requests and responses -gpt_35_long = Model( - name = 'gpt-3.5-turbo', - base_provider = 'openai', - best_provider = IterListProvider([ - FreeGpt, - You, - OpenaiChat, - Koala, - ChatgptFree, FreeChatgpt, - DDG, - AI365VIP, + HuggingChat, Pizzagpt, + ChatgptFree, + ReplicateHome, + Upstage, + Blackbox, + Bixin123, + Binjie, + Free2GPT, + MagickPen, ]) ) @@ -92,84 +91,60 @@ gpt_35_long = Model( ############ ### OpenAI ### -### GPT-3.5 / GPT-4 ### +# gpt-3 +gpt_3 = Model( + name = 'gpt-3', + base_provider = 'OpenAI', + best_provider = IterListProvider([ + Nexra, + ]) +) + # gpt-3.5 gpt_35_turbo = Model( name = 'gpt-3.5-turbo', - base_provider = 'openai', + base_provider = 'OpenAI', best_provider = IterListProvider([ - FreeGpt, - You, - Koala, - OpenaiChat, - ChatgptFree, - FreeChatgpt, - DDG, - AI365VIP, - Pizzagpt, + Allyfy, TwitterBio, Nexra, Bixin123, CodeNews, Airforce, ]) ) -gpt_35_turbo_16k = Model( - name = 'gpt-3.5-turbo-16k', - base_provider = 'openai', - best_provider = gpt_35_long.best_provider -) - -gpt_35_turbo_16k_0613 = Model( - name = 'gpt-3.5-turbo-16k-0613', - base_provider = 'openai', - best_provider = gpt_35_long.best_provider -) - -gpt_35_turbo_0613 = Model( - name = 'gpt-3.5-turbo-0613', - base_provider = 'openai', - best_provider = gpt_35_turbo.best_provider -) - # gpt-4 -gpt_4 = Model( - name = 'gpt-4', - base_provider = 'openai', +gpt_4o = Model( + name = 'gpt-4o', + base_provider = 'OpenAI', best_provider = IterListProvider([ - Bing, Liaobots, + Liaobots, Chatgpt4o, Airforce, + OpenaiChat, ]) ) -gpt_4_0613 = Model( - name = 'gpt-4-0613', - base_provider = 'openai', - best_provider = gpt_4.best_provider -) - -gpt_4_32k = Model( - name = 'gpt-4-32k', - base_provider = 'openai', - best_provider = gpt_4.best_provider -) - -gpt_4_32k_0613 = Model( - name = 'gpt-4-32k-0613', - base_provider = 'openai', - best_provider = gpt_4.best_provider +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, + ]) ) gpt_4_turbo = Model( name = 'gpt-4-turbo', - base_provider = 'openai', - best_provider = Bing + base_provider = 'OpenAI', + best_provider = IterListProvider([ + Nexra, Bixin123, Liaobots, Airforce, Bing + ]) ) -gpt_4o = Model( - name = 'gpt-4o', - base_provider = 'openai', +gpt_4 = Model( + name = 'gpt-4', + base_provider = 'OpenAI', best_provider = IterListProvider([ - You, Liaobots, Chatgpt4o, AI365VIP + Chatgpt4Online, Nexra, Binjie, Airforce, Bing, + gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider ]) ) - ### GigaChat ### gigachat = Model( name = 'GigaChat:latest', @@ -180,131 +155,174 @@ gigachat = Model( ### Meta ### meta = Model( - name = "meta", - base_provider = "meta", + name = "meta-ai", + base_provider = "Meta", best_provider = MetaAI ) -llama_2_70b_chat = Model( - name = "meta/llama-2-70b-chat", - base_provider = "meta", - best_provider = IterListProvider([ReplicateHome]) +llama_2_13b = Model( + name = "llama-2-13b", + base_provider = "Meta", + best_provider = IterListProvider([Airforce]) ) -llama3_8b_instruct = Model( - name = "meta-llama/Meta-Llama-3-8B-Instruct", - base_provider = "meta", - best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate]) +llama_3_8b = Model( + name = "llama-3-8b", + base_provider = "Meta", + best_provider = IterListProvider([Airforce, DeepInfra, Replicate]) ) -llama3_70b_instruct = Model( - name = "meta-llama/Meta-Llama-3-70B-Instruct", - base_provider = "meta", - best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate, HuggingChat, DDG]) +llama_3_70b = Model( + name = "llama-3-70b", + base_provider = "Meta", + best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate]) ) -codellama_34b_instruct = Model( - name = "codellama/CodeLlama-34b-Instruct-hf", - base_provider = "meta", - best_provider = HuggingChat +llama_3_1_8b = Model( + name = "llama-3.1-8b", + base_provider = "Meta", + best_provider = IterListProvider([Blackbox, Airforce, PerplexityLabs]) ) -codellama_70b_instruct = Model( - name = "codellama/CodeLlama-70b-Instruct-hf", - base_provider = "meta", - best_provider = IterListProvider([DeepInfra]) +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]) +) + +llama_3_1_405b = Model( + name = "llama-3.1-405b", + base_provider = "Meta", + best_provider = IterListProvider([Blackbox, Airforce]) ) ### Mistral ### +mistral_7b = Model( + name = "mistral-7b", + base_provider = "Mistral", + best_provider = IterListProvider([HuggingChat, Airforce, HuggingFace, DeepInfra]) +) + mixtral_8x7b = Model( - name = "mistralai/Mixtral-8x7B-Instruct-v0.1", - base_provider = "huggingface", - best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs, HuggingChat, DDG]) + name = "mixtral-8x7b", + base_provider = "Mistral", + best_provider = IterListProvider([HuggingChat, DDG, ReplicateHome, TwitterBio, Airforce, DeepInfra, HuggingFace]) ) -mistral_7b_v02 = Model( - name = "mistralai/Mistral-7B-Instruct-v0.2", - base_provider = "huggingface", - best_provider = IterListProvider([DeepInfra, HuggingFace, HuggingChat, ReplicateHome]) +mixtral_8x22b = Model( + name = "mixtral-8x22b", + base_provider = "Mistral", + best_provider = IterListProvider([Airforce]) ) ### NousResearch ### -Nous_Hermes_2_Mixtral_8x7B_DPO = Model( - name = "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO", +mixtral_8x7b_dpo = Model( + name = "mixtral-8x7b-dpo", base_provider = "NousResearch", - best_provider = IterListProvider([HuggingFace, HuggingChat]) + best_provider = IterListProvider([HuggingChat, Airforce, HuggingFace]) ) - -### 01-ai ### -Yi_1_5_34B_Chat = Model( - name = "01-ai/Yi-1.5-34B-Chat", - base_provider = "01-ai", - best_provider = IterListProvider([HuggingFace, HuggingChat]) +yi_34b = Model( + name = 'yi-34b', + base_provider = 'NousResearch', + best_provider = IterListProvider([Airforce]) ) ### Microsoft ### -Phi_3_mini_4k_instruct = Model( - name = "microsoft/Phi-3-mini-4k-instruct", +phi_3_mini_4k = Model( + name = "phi-3-mini-4k", base_provider = "Microsoft", - best_provider = IterListProvider([HuggingFace, HuggingChat]) + best_provider = IterListProvider([HuggingChat, HuggingFace]) ) ### Google ### # gemini -gemini = Model( - name = 'gemini', +gemini_pro = Model( + name = 'gemini-pro', base_provider = 'Google', - best_provider = Gemini + best_provider = IterListProvider([GeminiPro, ChatGot, Liaobots, Airforce]) ) -gemini_pro = Model( - name = 'gemini-pro', +gemini_flash = Model( + name = 'gemini-flash', + base_provider = 'Google', + best_provider = IterListProvider([Blackbox, Liaobots, Airforce]) +) + +gemini = Model( + name = 'gemini', base_provider = 'Google', - best_provider = IterListProvider([GeminiPro, You, GeminiProChat]) + best_provider = IterListProvider([ + Gemini, + gemini_flash.best_provider, gemini_pro.best_provider + ]) ) + # gemma -gemma_2_9b_it = Model( - name = 'gemma-2-9b-it', +gemma_2b = Model( + name = 'gemma-2b', base_provider = 'Google', - best_provider = IterListProvider([PerplexityLabs]) + best_provider = IterListProvider([ReplicateHome, Airforce]) ) -gemma_2_27b_it = Model( - name = 'gemma-2-27b-it', +gemma_2b_9b = Model( + name = 'gemma-2b-9b', base_provider = 'Google', - best_provider = IterListProvider([PerplexityLabs]) + best_provider = IterListProvider([Airforce]) ) +gemma_2b_27b = Model( + name = 'gemma-2b-27b', + base_provider = 'Google', + best_provider = IterListProvider([Airforce]) +) ### Anthropic ### -claude_v2 = Model( - name = 'claude-v2', - base_provider = 'anthropic', - best_provider = IterListProvider([Vercel]) +claude_2 = Model( + name = 'claude-2', + base_provider = 'Anthropic', + best_provider = IterListProvider([You]) +) + +claude_2_0 = Model( + name = 'claude-2.0', + base_provider = 'Anthropic', + best_provider = IterListProvider([Liaobots]) +) + +claude_2_1 = Model( + name = 'claude-2.1', + base_provider = 'Anthropic', + best_provider = IterListProvider([Liaobots]) ) claude_3_opus = Model( name = 'claude-3-opus', - base_provider = 'anthropic', - best_provider = You + base_provider = 'Anthropic', + best_provider = IterListProvider([Liaobots]) ) claude_3_sonnet = Model( name = 'claude-3-sonnet', - base_provider = 'anthropic', - best_provider = You + base_provider = 'Anthropic', + best_provider = IterListProvider([Liaobots]) +) + +claude_3_5_sonnet = Model( + name = 'claude-3-5-sonnet', + base_provider = 'Anthropic', + best_provider = IterListProvider([Liaobots]) ) claude_3_haiku = Model( name = 'claude-3-haiku', - base_provider = 'anthropic', - best_provider = IterListProvider([DDG, AI365VIP]) + base_provider = 'Anthropic', + best_provider = IterListProvider([DDG, Liaobots]) ) @@ -316,14 +334,6 @@ reka_core = Model( ) -### NVIDIA ### -nemotron_4_340b_instruct = Model( - name = 'nemotron-4-340b-instruct', - base_provider = 'NVIDIA', - best_provider = IterListProvider([PerplexityLabs]) -) - - ### Blackbox ### blackbox = Model( name = 'blackbox', @@ -334,27 +344,157 @@ blackbox = Model( ### Databricks ### dbrx_instruct = Model( - name = 'databricks/dbrx-instruct', + name = 'dbrx-instruct', base_provider = 'Databricks', - best_provider = IterListProvider([DeepInfra]) + best_provider = IterListProvider([Airforce, DeepInfra]) ) ### CohereForAI ### command_r_plus = Model( - name = 'CohereForAI/c4ai-command-r-plus', + name = 'command-r-plus', base_provider = 'CohereForAI', best_provider = IterListProvider([HuggingChat]) ) -### Other ### +### iFlytek ### +sparkdesk_v1_1 = Model( + name = 'sparkdesk-v1.1', + base_provider = 'iFlytek', + best_provider = IterListProvider([FreeChatgpt, Airforce]) +) + +### Qwen ### +qwen_1_5_14b = Model( + name = 'qwen-1.5-14b', + base_provider = 'Qwen', + best_provider = IterListProvider([FreeChatgpt]) +) + +qwen_1_5_72b = Model( + name = 'qwen-1.5-72b', + base_provider = 'Qwen', + best_provider = IterListProvider([Airforce]) +) + +qwen_1_5_110b = Model( + name = 'qwen-1.5-110b', + base_provider = 'Qwen', + best_provider = IterListProvider([Airforce]) +) + +qwen_2_72b = Model( + name = 'qwen-2-72b', + base_provider = 'Qwen', + best_provider = IterListProvider([Airforce]) +) + +qwen_turbo = Model( + name = 'qwen-turbo', + base_provider = 'Qwen', + best_provider = IterListProvider([Bixin123]) +) + + +### Zhipu AI ### +glm_3_6b = Model( + name = 'glm-3-6b', + base_provider = 'Zhipu AI', + best_provider = IterListProvider([FreeChatgpt]) +) + +glm_4_9b = Model( + name = 'glm-4-9B', + base_provider = 'Zhipu AI', + best_provider = IterListProvider([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]) +) + +### Upstage ### +solar_1_mini = Model( + name = 'solar-1-mini', + base_provider = 'Upstage', + best_provider = IterListProvider([Upstage]) +) + +solar_10_7b = Model( + name = 'solar-10-7b', + base_provider = 'Upstage', + best_provider = Airforce +) + + +### Pi ### pi = Model( name = 'pi', 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]) +) + +### WizardLM ### +wizardlm_2_8x22b = Model( + name = 'wizardlm-2-8x22b', + base_provider = 'WizardLM', + best_provider = Airforce +) + +### Together ### +sh_n_7b = Model( + name = 'sh-n-7b', + base_provider = 'Together', + best_provider = Airforce +) + +### Yorickvp ### +llava_13b = Model( + name = 'llava-13b', + base_provider = 'Yorickvp', + best_provider = ReplicateHome +) ############# ### Image ### @@ -362,20 +502,113 @@ pi = Model( ### Stability AI ### sdxl = Model( - name = 'stability-ai/sdxl', + name = 'sdxl', base_provider = 'Stability AI', best_provider = IterListProvider([ReplicateHome, DeepInfraImage]) ) -### AI Forever ### -kandinsky_2_2 = Model( - name = 'ai-forever/kandinsky-2.2', - base_provider = 'AI Forever', +sd_3 = Model( + name = 'sd-3', + base_provider = 'Stability AI', + best_provider = IterListProvider([ReplicateHome]) + +) + +### Playground ### +playground_v2_5 = Model( + name = 'playground-v2.5', + base_provider = 'Stability AI', best_provider = IterListProvider([ReplicateHome]) ) +### Flux AI ### +flux = Model( + name = 'flux', + base_provider = 'Flux AI', + best_provider = IterListProvider([Airforce]) + +) + +flux_realism = Model( + name = 'flux-realism', + base_provider = 'Flux AI', + best_provider = IterListProvider([Airforce]) + +) + +flux_anime = Model( + name = 'flux-anime', + base_provider = 'Flux AI', + best_provider = IterListProvider([Airforce]) + +) + +flux_3d = Model( + name = 'flux-3d', + base_provider = 'Flux AI', + best_provider = IterListProvider([Airforce]) + +) + +flux_disney = Model( + name = 'flux-disney', + base_provider = 'Flux AI', + best_provider = IterListProvider([Airforce]) + +) + +flux_pixel = Model( + name = 'flux-pixel', + base_provider = 'Flux AI', + best_provider = IterListProvider([Airforce]) + +) + +flux_schnell = Model( + name = 'flux-schnell', + base_provider = 'Flux AI', + best_provider = IterListProvider([ReplicateHome]) + +) + +### ### +dalle = Model( + name = 'dalle', + base_provider = '', + best_provider = IterListProvider([Nexra]) + +) + +dalle_2 = Model( + name = 'dalle-2', + base_provider = '', + best_provider = IterListProvider([Nexra]) + +) + +dalle_mini = Model( + name = 'dalle-mini', + base_provider = '', + best_provider = IterListProvider([Nexra]) + +) + +emi = Model( + name = 'emi', + base_provider = '', + best_provider = IterListProvider([Nexra]) + +) + +any_dark = Model( + name = 'any-dark', + base_provider = '', + best_provider = IterListProvider([Airforce]) + +) + class ModelUtils: """ Utility class for mapping string identifiers to Model instances. @@ -385,113 +618,184 @@ class ModelUtils: """ convert: dict[str, Model] = { - ############ - ### Text ### - ############ - - ### OpenAI ### - ### GPT-3.5 / GPT-4 ### - # gpt-3.5 - 'gpt-3.5-turbo' : gpt_35_turbo, - 'gpt-3.5-turbo-0613' : gpt_35_turbo_0613, - 'gpt-3.5-turbo-16k' : gpt_35_turbo_16k, - 'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613, - 'gpt-3.5-long': gpt_35_long, - - # gpt-4 - 'gpt-4o' : gpt_4o, - 'gpt-4' : gpt_4, - 'gpt-4-0613' : gpt_4_0613, - 'gpt-4-32k' : gpt_4_32k, - 'gpt-4-32k-0613' : gpt_4_32k_0613, - 'gpt-4-turbo' : gpt_4_turbo, - - - ### Meta ### - "meta-ai": meta, +############ +### Text ### +############ - 'llama-2-70b-chat': llama_2_70b_chat, - 'llama3-8b': llama3_8b_instruct, # alias - 'llama3-70b': llama3_70b_instruct, # alias - 'llama3-8b-instruct' : llama3_8b_instruct, - 'llama3-70b-instruct': llama3_70b_instruct, +### OpenAI ### +# gpt-3 +'gpt-3': gpt_3, - 'codellama-34b-instruct': codellama_34b_instruct, - 'codellama-70b-instruct': codellama_70b_instruct, +# gpt-3.5 +'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, + + +### Meta ### +"meta-ai": meta, +# llama-2 +'llama-2-13b': llama_2_13b, - ### Mistral (Opensource) ### - 'mixtral-8x7b': mixtral_8x7b, - 'mistral-7b-v02': mistral_7b_v02, +# 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, +'llama-3.1-70b': llama_3_1_70b, +'llama-3.1-405b': llama_3_1_405b, + - ### NousResearch ### - 'Nous-Hermes-2-Mixtral-8x7B-DPO': Nous_Hermes_2_Mixtral_8x7B_DPO, +### Mistral ### +'mistral-7b': mistral_7b, +'mixtral-8x7b': mixtral_8x7b, +'mixtral-8x22b': mixtral_8x22b, + + +### NousResearch ### +'mixtral-8x7b-dpo': mixtral_8x7b_dpo, + +'yi-34b': yi_34b, + + +### Microsoft ### +'phi-3-mini-4k': phi_3_mini_4k, - ### 01-ai ### - 'Yi-1.5-34B-Chat': Yi_1_5_34B_Chat, - - - ### Microsoft ### - 'Phi-3-mini-4k-instruct': Phi_3_mini_4k_instruct, +### Google ### +# gemini +'gemini': gemini, +'gemini-pro': gemini_pro, +'gemini-flash': gemini_flash, + +# gemma +'gemma-2b': gemma_2b, +'gemma-2b-9b': gemma_2b_9b, +'gemma-2b-27b': gemma_2b_27b, - ### Google ### - # gemini - 'gemini': gemini, - 'gemini-pro': gemini_pro, +### Anthropic ### +'claude-2': claude_2, +'claude-2.0': claude_2_0, +'claude-2.1': claude_2_1, + +'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, + + +### Reka AI ### +'reka-core': reka_core, + + +### Blackbox ### +'blackbox': blackbox, + + +### CohereForAI ### +'command-r+': command_r_plus, - # gemma - 'gemma-2-9b-it': gemma_2_9b_it, - 'gemma-2-27b-it': gemma_2_27b_it, + +### Databricks ### +'dbrx-instruct': dbrx_instruct, - ### Anthropic ### - 'claude-v2': claude_v2, - 'claude-3-opus': claude_3_opus, - 'claude-3-sonnet': claude_3_sonnet, - 'claude-3-haiku': claude_3_haiku, +### GigaChat ### +'gigachat': gigachat, + + +### iFlytek ### +'sparkdesk-v1.1': sparkdesk_v1_1, + + +### 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, +'qwen-2-72b': qwen_2_72b, +'qwen-turbo': qwen_turbo, + + +### Zhipu AI ### +'glm-3-6b': glm_3_6b, +'glm-4-9b': glm_4_9b, +'glm-4': glm_4, + + +### 01-ai ### +'yi-1.5-9b': yi_1_5_9b, + + +### Upstage ### +'solar-1-mini': solar_1_mini, +'solar-10-7b': solar_10_7b, - ### Reka AI ### - 'reka': reka_core, +### Pi ### +'pi': pi, - ### NVIDIA ### - 'nemotron-4-340b-instruct': nemotron_4_340b_instruct, - - - ### Blackbox ### - 'blackbox': blackbox, - - - ### CohereForAI ### - 'command-r+': command_r_plus, - - - ### Databricks ### - 'dbrx-instruct': dbrx_instruct, +### 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, - ### GigaChat ### - 'gigachat': gigachat, + +### Together ### +'sh-n-7b': sh_n_7b, + + +### Yorickvp ### +'llava-13b': llava_13b, - # Other - 'pi': pi, +############# +### Image ### +############# +### Stability AI ### +'sdxl': sdxl, +'sd-3': sd_3, - ############# - ### Image ### - ############# - - ### Stability AI ### - 'sdxl': sdxl, - ### AI Forever ### - 'kandinsky-2.2': kandinsky_2_2, +### Playground ### +'playground-v2.5': playground_v2_5, + + +### Flux AI ### +'flux': flux, +'flux-realism': flux_realism, +'flux-anime': flux_anime, +'flux-3d': flux_3d, +'flux-disney': flux_disney, +'flux-pixel': flux_pixel, +'flux-schnell': flux_schnell, + + +### ### +'dalle': dalle, +'dalle-2': dalle_2, +'dalle-mini': dalle_mini, +'emi': emi, +'any-dark': any_dark, } _all_models = list(ModelUtils.convert.keys()) |