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Updates, improvements, corrections of models.py and index.html errors
This commit is contained in:
kqlio67
parent
15fdd2cb06
commit
51faa61f23
@ -229,8 +229,8 @@
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<option value="">Model: Default</option>
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<option value="gpt-4">gpt-4</option>
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<option value="gpt-3.5-turbo">gpt-3.5-turbo</option>
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<option value="llama2-70b">llama2-70b</option>
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<option value="llama3-70b-instruct">llama3-70b-instruct</option>
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<option value="llama-3-70b-chat">llama-3-70b-chat</option>
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<option value="llama-3.1-70b">llama-3.1-70b</option>
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<option value="gemini-pro">gemini-pro</option>
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<option value="">----</option>
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</select>
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306
g4f/models.py
306
g4f/models.py
@ -6,38 +6,38 @@ from .Provider import IterListProvider, ProviderType
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from .Provider import (
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AI365VIP,
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Allyfy,
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Bing,
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Blackbox,
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ChatGot,
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Chatgpt4o,
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Chatgpt4Online,
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ChatgptFree,
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DDG,
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DeepInfra,
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DeepInfraImage,
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FreeChatgpt,
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FreeGpt,
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Gemini,
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GeminiPro,
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GeminiProChat,
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GigaChat,
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HuggingChat,
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HuggingFace,
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Koala,
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Liaobots,
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Marsyoo,
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MetaAI,
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OpenaiChat,
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PerplexityLabs,
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Pi,
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Pizzagpt,
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Reka,
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Replicate,
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ReplicateHome,
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Vercel,
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You,
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Bing,
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Blackbox,
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ChatGot,
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Chatgpt4o,
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Chatgpt4Online,
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ChatgptFree,
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DDG,
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DeepInfra,
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DeepInfraImage,
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FreeChatgpt,
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FreeGpt,
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Gemini,
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GeminiPro,
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GeminiProChat,
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GigaChat,
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HuggingChat,
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HuggingFace,
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Koala,
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Liaobots,
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Marsyoo,
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MetaAI,
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OpenaiChat,
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PerplexityLabs,
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Pi,
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Pizzagpt,
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Reka,
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Replicate,
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ReplicateHome,
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You,
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)
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@dataclass(unsafe_hash=True)
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class Model:
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"""
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@ -198,16 +198,28 @@ meta = Model(
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best_provider = MetaAI
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)
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llama3_8b_instruct = Model(
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llama_3_8b_instruct = Model(
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name = "meta-llama/Meta-Llama-3-8B-Instruct",
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base_provider = "meta",
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best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
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)
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llama3_70b_instruct = Model(
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llama_3_70b_instruct = Model(
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name = "meta-llama/Meta-Llama-3-70B-Instruct",
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base_provider = "meta",
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best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate, DDG, ReplicateHome])
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best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
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)
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llama3_70b_instruct = Model(
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name = "meta/meta-llama-3-70b-instruct",
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base_provider = "meta",
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best_provider = IterListProvider([ReplicateHome])
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)
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llama_3_70b_chat_hf = Model(
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name = "meta-llama/Llama-3-70b-chat-hf",
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base_provider = "meta",
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best_provider = IterListProvider([DDG])
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)
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llama_3_1_70b_Instruct = Model(
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@ -222,18 +234,6 @@ llama_3_1_405b_Instruct_FP8 = Model(
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best_provider = IterListProvider([HuggingChat, HuggingFace])
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)
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codellama_34b_instruct = Model(
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name = "codellama/CodeLlama-34b-Instruct-hf",
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base_provider = "meta",
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best_provider = HuggingChat
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)
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codellama_70b_instruct = Model(
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name = "codellama/CodeLlama-70b-Instruct-hf",
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base_provider = "meta",
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best_provider = IterListProvider([DeepInfra])
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)
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### Mistral ###
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mixtral_8x7b = Model(
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@ -499,150 +499,116 @@ class ModelUtils:
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"""
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convert: dict[str, Model] = {
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############
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### Text ###
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############
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### OpenAI ###
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### GPT-3.5 / GPT-4 ###
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# gpt-3.5
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'gpt-3.5-turbo' : gpt_35_turbo,
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'gpt-3.5-turbo-0613' : gpt_35_turbo_0613,
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'gpt-3.5-turbo-16k' : gpt_35_turbo_16k,
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'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613,
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'gpt-3.5-long': gpt_35_long,
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############
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### Text ###
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############
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### OpenAI ###
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### GPT-3.5 / GPT-4 ###
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# gpt-3.5
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'gpt-3.5-turbo': gpt_35_turbo,
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'gpt-3.5-long': gpt_35_long,
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# gpt-4
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'gpt-4o' : gpt_4o,
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'gpt-4o-mini' : gpt_4o_mini,
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'gpt-4' : gpt_4,
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'gpt-4-0613' : gpt_4_0613,
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'gpt-4-32k' : gpt_4_32k,
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'gpt-4-32k-0613' : gpt_4_32k_0613,
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'gpt-4-turbo' : gpt_4_turbo,
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### Meta ###
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"meta-ai": meta,
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# gpt-4
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'gpt-4o' : gpt_4o,
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'gpt-4o-mini' : gpt_4o_mini,
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'gpt-4' : gpt_4,
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'gpt-4-turbo' : gpt_4_turbo,
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'llama3-8b': llama3_8b_instruct, # alias
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'llama3-70b': llama3_70b_instruct, # alias
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'llama3-8b-instruct' : llama3_8b_instruct,
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'llama3-70b-instruct': llama3_70b_instruct,
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'llama-3.1-70b-Instruct': llama_3_1_70b_Instruct,
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'llama-3.1-405B-Instruct-FP8': llama_3_1_405b_Instruct_FP8,
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### Meta ###
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"meta-ai": meta,
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'llama-3-8b': llama_3_8b_instruct,
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'llama-3-70b': llama_3_70b_instruct,
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'llama-3-70b-chat': llama_3_70b_chat_hf,
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'llama-3-70b-instruct': llama3_70b_instruct,
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'llama-3.1-70b': llama_3_1_70b_Instruct,
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'llama-3.1-405b': llama_3_1_405b_Instruct_FP8,
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### Mistral (Opensource) ###
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'mixtral-8x7b': mixtral_8x7b,
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'mistral-7b-v02': mistral_7b_v02,
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### NousResearch ###
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'Nous-Hermes-2-Mixtral-8x7B-DPO': Nous_Hermes_2_Mixtral_8x7B_DPO,
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'codellama-34b-instruct': codellama_34b_instruct,
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'codellama-70b-instruct': codellama_70b_instruct,
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### 01-ai ###
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'Yi-1.5-34b': Yi_1_5_34B_Chat,
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### Microsoft ###
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'Phi-3-mini-4k': Phi_3_mini_4k_instruct,
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### Google ###
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# gemini
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'gemini': gemini,
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'gemini-pro': gemini_pro,
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'gemini-flash': gemini_flash,
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# gemma
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'gemma-2b': gemma_2b_it,
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'gemma-2-9b': gemma_2_9b_it,
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'gemma-2-27b': gemma_2_27b_it,
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### Mistral (Opensource) ###
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'mixtral-8x7b': mixtral_8x7b,
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'mistral-7b-v02': mistral_7b_v02,
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### NousResearch ###
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'Nous-Hermes-2-Mixtral-8x7B-DPO': Nous_Hermes_2_Mixtral_8x7B_DPO,
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### Anthropic ###
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'claude-2': claude_2,
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'claude-2.0': claude_2_0,
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'claude-2.1': claude_2_1,
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'claude-3-opus': claude_3_opus,
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'claude-3-sonnet': claude_3_sonnet,
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'claude-3-5-sonnet': claude_3_5_sonnet,
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'claude-3-haiku': claude_3_haiku,
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### Reka AI ###
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'reka': reka_core,
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### 01-ai ###
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'Yi-1.5-34B-Chat': Yi_1_5_34B_Chat,
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### Microsoft ###
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'Phi-3-mini-4k-instruct': Phi_3_mini_4k_instruct,
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### NVIDIA ###
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'nemotron-4-340b': nemotron_4_340b_instruct,
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### Blackbox ###
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'blackbox': blackbox,
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### CohereForAI ###
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'command-r+': command_r_plus,
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### Databricks ###
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'dbrx-instruct': dbrx_instruct,
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### Google ###
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# gemini
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'gemini': gemini,
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'gemini-pro': gemini_pro,
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'gemini-flash': gemini_flash,
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# gemma
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'gemma-2b-it': gemma_2b_it,
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'gemma-2-9b-it': gemma_2_9b_it,
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'gemma-2-27b-it': gemma_2_27b_it,
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### Anthropic ###
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'claude-2': claude_2,
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'claude-2.0': claude_2_0,
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'claude-2.1': claude_2_1,
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'claude-3-opus': claude_3_opus,
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'claude-3-sonnet': claude_3_sonnet,
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'claude-3-5-sonnet': claude_3_5_sonnet,
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'claude-3-haiku': claude_3_haiku,
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### Reka AI ###
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'reka': reka_core,
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### NVIDIA ###
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'nemotron-4-340b-instruct': nemotron_4_340b_instruct,
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### Blackbox ###
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'blackbox': blackbox,
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### CohereForAI ###
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'command-r+': command_r_plus,
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### GigaChat ###
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'gigachat': gigachat,
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### iFlytek ###
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'SparkDesk-v1.1': SparkDesk_v1_1,
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### Databricks ###
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'dbrx-instruct': dbrx_instruct,
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### GigaChat ###
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'gigachat': gigachat,
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### DeepSeek ###
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'deepseek-coder': deepseek_coder,
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'deepseek-chat': deepseek_chat,
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### Qwen ###
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'Qwen2-7b': Qwen2_7B_Instruct,
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### iFlytek ###
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'SparkDesk-v1.1': SparkDesk_v1_1,
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### Zhipu AI ###
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'glm4-9b': glm4_9B_chat,
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'chatglm3-6b': chatglm3_6B,
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### 01-ai ###
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'Yi-1.5-9b': Yi_1_5_9B_Chat,
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### DeepSeek ###
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'deepseek-coder': deepseek_coder,
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'deepseek-chat': deepseek_chat,
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# Other
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'pi': pi,
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#############
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### Image ###
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#############
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### ### Qwen ### ###
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'Qwen2-7B-Instruct': Qwen2_7B_Instruct,
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### Stability AI ###
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'sdxl': sdxl,
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'stable-diffusion-3': stable_diffusion_3,
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### ByteDance ###
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'sdxl-lightning': sdxl_lightning_4step,
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### Zhipu AI ###
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'glm4-9B-chat': glm4_9B_chat,
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'chatglm3-6B': chatglm3_6B,
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### 01-ai ###
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'Yi-1.5-9B-Chat': Yi_1_5_9B_Chat,
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# Other
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'pi': pi,
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#############
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### Image ###
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#############
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### Stability AI ###
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'sdxl': sdxl,
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'stable-diffusion-3': stable_diffusion_3,
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### ByteDance ###
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'sdxl-lightning-4step': sdxl_lightning_4step,
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### ByteDance ###
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'sdxl-lightning-4step': sdxl_lightning_4step,
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### Playground ###
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'playground-v2.5-1024px-aesthetic': playground_v2_5_1024px_aesthetic,
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### Playground ###
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'playground-v2.5': playground_v2_5_1024px_aesthetic,
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}
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