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Update (g4f/models.py g4f/Provider/airforce/AirforceChat.py docs/providers-and-models.md)
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@ -19,8 +19,8 @@ This document provides an overview of various AI providers and models, including
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|----------|-------------|--------------|---------------|--------|--------|------|
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|[ai4chat.co](https://www.ai4chat.co)|`g4f.Provider.Ai4Chat`|`gpt-4`|❌|❌|✔||❌|
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|[aichatfree.info](https://aichatfree.info)|`g4f.Provider.AIChatFree`|`gemini-pro`|❌|❌|✔||❌|
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|[api.airforce](https://api.airforce)|`g4f.Provider.AiMathGPT`|`llama-3.1-70b`|❌|❌|✔||❌|
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|[api.airforce](https://api.airforce)|`g4f.Provider.Airforce`|`claude-3-haiku, claude-3-sonnet, claude-3-opus, gpt-4, gpt-4-turbo, gpt-4o-mini, gpt-3.5-turbo, llama-3-70b, llama-3-8b, llama-2-13b, llama-3.1-405b, llama-3.1-70b, llama-3.1-8b, llamaguard-2-8b, llamaguard-7b, llama-3.2-90b, llamaguard-3-8b, llama-3.2-11b, llamaguard-3-11b, llama-3.2-3b, llama-3.2-1b, llama-2-7b, mixtral-8x7b, mixtral-8x22b, mythomax-13b, openchat-3.5, qwen-2-72b, qwen-2-5-7b, qwen-2-5-72b, gemma-2b, gemma-2-9b, gemma-2b-27b, gemini-flash, gemini-pro, dbrx-instruct, deepseek-coder, hermes-2-dpo, hermes-2, openhermes-2.5, wizardlm-2-8x22b, phi-2, solar-10-7b, cosmosrp, lfm-40b, german-7b, zephyr-7b`|`flux, flux-realism', flux-anime, flux-3d, flux-disney, flux-pixel, flux-4o, any-dark, sdxl`|❌|✔||❌|
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|[aimathgpt.forit.ai](https://aimathgpt.forit.ai)|`g4f.Provider.AiMathGPT`|`llama-3.1-70b`|❌|❌|✔||❌|
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|[api.airforce](https://api.airforce)|`g4f.Provider.Airforce`|`gpt-4o, gpt-4o-mini, gpt-4-turbo, llama-2-7b, llama-3.1-8b, llama-3.1-70b, hermes-2-pro, hermes-2-dpo, phi-2, deepseek-coder, openchat-3.5, openhermes-2.5, cosmosrp, lfm-40b, german-7b, zephyr-7b, neural-7b`|`flux, flux-realism', flux-anime, flux-3d, flux-disney, flux-pixel, flux-4o, any-dark, sdxl`|❌|✔||❌|
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|[aiuncensored.info](https://www.aiuncensored.info)|`g4f.Provider.AIUncensored`|✔|✔|❌|✔||❌|
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|[allyfy.chat](https://allyfy.chat/)|`g4f.Provider.Allyfy`|`gpt-3.5-turbo`|❌|❌|✔||❌|
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|[bing.com](https://bing.com/chat)|`g4f.Provider.Bing`|`gpt-4`|✔|`gpt-4-vision`|✔||❌+✔|
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@ -3,6 +3,7 @@ import re
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from aiohttp import ClientSession
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import json
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from typing import List
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import requests
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from ...typing import AsyncResult, Messages
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from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
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@ -51,258 +52,50 @@ class AirforceChat(AsyncGeneratorProvider, ProviderModelMixin):
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supports_system_message = True
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supports_message_history = True
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default_model = 'llama-3-70b-chat'
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text_models = [
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# anthropic
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'claude-3-haiku-20240307',
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'claude-3-sonnet-20240229',
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'claude-3-5-sonnet-20240620',
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'claude-3-5-sonnet-20241022',
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'claude-3-opus-20240229',
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default_model = 'llama-3.1-70b-chat'
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response = requests.get('https://api.airforce/models')
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data = response.json()
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# openai
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'chatgpt-4o-latest',
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'gpt-4',
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'gpt-4-turbo',
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'gpt-4o-2024-05-13',
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'gpt-4o-mini-2024-07-18',
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'gpt-4o-mini',
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'gpt-4o-2024-08-06',
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'gpt-3.5-turbo',
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'gpt-3.5-turbo-0125',
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'gpt-3.5-turbo-1106',
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'gpt-4o',
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'gpt-4-turbo-2024-04-09',
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'gpt-4-0125-preview',
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'gpt-4-1106-preview',
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# meta-llama
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default_model,
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'llama-3-70b-chat-turbo',
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'llama-3-8b-chat',
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'llama-3-8b-chat-turbo',
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'llama-3-70b-chat-lite',
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'llama-3-8b-chat-lite',
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'llama-2-13b-chat',
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'llama-3.1-405b-turbo',
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'llama-3.1-70b-turbo',
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'llama-3.1-8b-turbo',
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'LlamaGuard-2-8b',
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'llamaguard-7b',
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'Llama-Vision-Free',
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'Llama-Guard-7b',
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'Llama-3.2-90B-Vision-Instruct-Turbo',
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'Meta-Llama-Guard-3-8B',
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'Llama-3.2-11B-Vision-Instruct-Turbo',
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'Llama-Guard-3-11B-Vision-Turbo',
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'Llama-3.2-3B-Instruct-Turbo',
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'Llama-3.2-1B-Instruct-Turbo',
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'llama-2-7b-chat-int8',
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'llama-2-7b-chat-fp16',
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'Llama 3.1 405B Instruct',
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'Llama 3.1 70B Instruct',
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'Llama 3.1 8B Instruct',
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# mistral-ai
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'Mixtral-8x7B-Instruct-v0.1',
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'Mixtral-8x22B-Instruct-v0.1',
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'Mistral-7B-Instruct-v0.1',
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'Mistral-7B-Instruct-v0.2',
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'Mistral-7B-Instruct-v0.3',
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# Gryphe
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'MythoMax-L2-13b-Lite',
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'MythoMax-L2-13b',
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# openchat
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'openchat-3.5-0106',
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# qwen
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#'Qwen1.5-72B-Chat', # Empty answer
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#'Qwen1.5-110B-Chat', # Empty answer
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'Qwen2-72B-Instruct',
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'Qwen2.5-7B-Instruct-Turbo',
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'Qwen2.5-72B-Instruct-Turbo',
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# google
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'gemma-2b-it',
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'gemma-2-9b-it',
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'gemma-2-27b-it',
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# gemini
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'gemini-1.5-flash',
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'gemini-1.5-pro',
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# databricks
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'dbrx-instruct',
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# deepseek-ai
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'deepseek-coder-6.7b-base',
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'deepseek-coder-6.7b-instruct',
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'deepseek-math-7b-instruct',
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# NousResearch
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'deepseek-math-7b-instruct',
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'Nous-Hermes-2-Mixtral-8x7B-DPO',
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'hermes-2-pro-mistral-7b',
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# teknium
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'openhermes-2.5-mistral-7b',
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# microsoft
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'WizardLM-2-8x22B',
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'phi-2',
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# upstage
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'SOLAR-10.7B-Instruct-v1.0',
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# pawan
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'cosmosrp',
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# liquid
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'lfm-40b-moe',
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# DiscoResearch
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'discolm-german-7b-v1',
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# tiiuae
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'falcon-7b-instruct',
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# defog
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'sqlcoder-7b-2',
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# tinyllama
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'tinyllama-1.1b-chat',
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# HuggingFaceH4
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'zephyr-7b-beta',
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]
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text_models = [model['id'] for model in data['data']]
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models = [*text_models]
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model_aliases = {
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# anthropic
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"claude-3-haiku": "claude-3-haiku-20240307",
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"claude-3-sonnet": "claude-3-sonnet-20240229",
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"claude-3.5-sonnet": "claude-3-5-sonnet-20240620",
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"claude-3.5-sonnet": "claude-3-5-sonnet-20241022",
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"claude-3-opus": "claude-3-opus-20240229",
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# openai
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"gpt-4o": "chatgpt-4o-latest",
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#"gpt-4": "gpt-4",
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#"gpt-4-turbo": "gpt-4-turbo",
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"gpt-4o": "gpt-4o-2024-05-13",
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"gpt-4o-mini": "gpt-4o-mini-2024-07-18",
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#"gpt-4o-mini": "gpt-4o-mini",
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"gpt-4o": "gpt-4o-2024-08-06",
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"gpt-3.5-turbo": "gpt-3.5-turbo",
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"gpt-3.5-turbo": "gpt-3.5-turbo-0125",
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"gpt-3.5-turbo": "gpt-3.5-turbo-1106",
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#"gpt-4o": "gpt-4o",
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"gpt-4-turbo": "gpt-4-turbo-2024-04-09",
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"gpt-4": "gpt-4-0125-preview",
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"gpt-4": "gpt-4-1106-preview",
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# meta-llama
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"llama-3-70b": "llama-3-70b-chat",
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"llama-3-8b": "llama-3-8b-chat",
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"llama-3-8b": "llama-3-8b-chat-turbo",
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"llama-3-70b": "llama-3-70b-chat-lite",
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"llama-3-8b": "llama-3-8b-chat-lite",
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"llama-2-13b": "llama-2-13b-chat",
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"llama-3.1-405b": "llama-3.1-405b-turbo",
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"llama-3.1-70b": "llama-3.1-70b-turbo",
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"llama-3.1-8b": "llama-3.1-8b-turbo",
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"llamaguard-2-8b": "LlamaGuard-2-8b",
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"llamaguard-7b": "llamaguard-7b",
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#"llama_vision_free": "Llama-Vision-Free", # Unknown
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"llamaguard-7b": "Llama-Guard-7b",
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"llama-3.2-90b": "Llama-3.2-90B-Vision-Instruct-Turbo",
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"llamaguard-3-8b": "Meta-Llama-Guard-3-8B",
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"llama-3.2-11b": "Llama-3.2-11B-Vision-Instruct-Turbo",
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"llamaguard-3-11b": "Llama-Guard-3-11B-Vision-Turbo",
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"llama-3.2-3b": "Llama-3.2-3B-Instruct-Turbo",
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"llama-3.2-1b": "Llama-3.2-1B-Instruct-Turbo",
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"llama-2-7b": "llama-2-7b-chat-int8",
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"llama-2-7b": "llama-2-7b-chat-fp16",
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"llama-3.1-405b": "Llama 3.1 405B Instruct",
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"llama-3.1-70b": "Llama 3.1 70B Instruct",
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"llama-3.1-8b": "Llama 3.1 8B Instruct",
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# mistral-ai
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"mixtral-8x7b": "Mixtral-8x7B-Instruct-v0.1",
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"mixtral-8x22b": "Mixtral-8x22B-Instruct-v0.1",
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"mixtral-8x7b": "Mistral-7B-Instruct-v0.1",
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"mixtral-8x7b": "Mistral-7B-Instruct-v0.2",
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"mixtral-8x7b": "Mistral-7B-Instruct-v0.3",
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# Gryphe
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"mythomax-13b": "MythoMax-L2-13b-Lite",
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"mythomax-13b": "MythoMax-L2-13b",
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# openchat
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"openchat-3.5": "openchat-3.5-0106",
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# qwen
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#"qwen-1.5-72b": "Qwen1.5-72B-Chat", # Empty answer
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#"qwen-1.5-110b": "Qwen1.5-110B-Chat", # Empty answer
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"qwen-2-72b": "Qwen2-72B-Instruct",
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"qwen-2-5-7b": "Qwen2.5-7B-Instruct-Turbo",
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"qwen-2-5-72b": "Qwen2.5-72B-Instruct-Turbo",
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# google
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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-2b-27b": "gemma-2-27b-it",
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# gemini
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"gemini-flash": "gemini-1.5-flash",
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"gemini-pro": "gemini-1.5-pro",
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# databricks
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"dbrx-instruct": "dbrx-instruct",
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# deepseek-ai
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#"deepseek-coder": "deepseek-coder-6.7b-base",
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"deepseek-coder": "deepseek-coder-6.7b-instruct",
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#"deepseek-math": "deepseek-math-7b-instruct",
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# NousResearch
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#"deepseek-math": "deepseek-math-7b-instruct",
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"hermes-2-dpo": "Nous-Hermes-2-Mixtral-8x7B-DPO",
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"hermes-2": "hermes-2-pro-mistral-7b",
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"hermes-2-pro": "hermes-2-pro-mistral-7b",
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# teknium
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"openhermes-2.5": "openhermes-2.5-mistral-7b",
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# microsoft
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"wizardlm-2-8x22b": "WizardLM-2-8x22B",
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#"phi-2": "phi-2",
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# upstage
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"solar-10-7b": "SOLAR-10.7B-Instruct-v1.0",
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# pawan
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#"cosmosrp": "cosmosrp",
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# liquid
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"lfm-40b": "lfm-40b-moe",
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# DiscoResearch
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"german-7b": "discolm-german-7b-v1",
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# tiiuae
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#"falcon-7b": "falcon-7b-instruct",
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# meta-llama
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"llama-2-7b": "llama-2-7b-chat-int8",
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"llama-2-7b": "llama-2-7b-chat-fp16",
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"llama-3.1-70b": "llama-3.1-70b-chat",
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"llama-3.1-8b": "llama-3.1-8b-chat",
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"llama-3.1-70b": "llama-3.1-70b-turbo",
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"llama-3.1-8b": "llama-3.1-8b-turbo",
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# defog
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#"sqlcoder-7b": "sqlcoder-7b-2",
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# tinyllama
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#"tinyllama-1b": "tinyllama-1.1b-chat",
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# inferless
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"neural-7b": "neural-chat-7b-v3-1",
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# HuggingFaceH4
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"zephyr-7b": "zephyr-7b-beta",
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# llmplayground.net
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#"any-uncensored": "any-uncensored",
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}
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@classmethod
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236
g4f/models.py
236
g4f/models.py
@ -98,32 +98,32 @@ default = Model(
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gpt_35_turbo = Model(
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name = 'gpt-3.5-turbo',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([DarkAI, Airforce, Liaobots, Allyfy])
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best_provider = IterListProvider([DarkAI, Liaobots, Allyfy])
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)
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# gpt-4
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gpt_4o = Model(
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name = 'gpt-4o',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([Blackbox, ChatGptEs, DarkAI, Airforce, ChatGpt, Liaobots, OpenaiChat])
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best_provider = IterListProvider([Blackbox, ChatGptEs, DarkAI, ChatGpt, Airforce, Liaobots, OpenaiChat])
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)
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gpt_4o_mini = Model(
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name = 'gpt-4o-mini',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, RubiksAI, Liaobots, ChatGpt, Airforce, OpenaiChat])
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best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, ChatGpt, Airforce, RubiksAI, Liaobots, OpenaiChat])
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)
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gpt_4_turbo = Model(
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name = 'gpt-4-turbo',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([Liaobots, Airforce, ChatGpt, Bing])
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best_provider = IterListProvider([ChatGpt, Airforce, Liaobots, Bing])
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)
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gpt_4 = Model(
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name = 'gpt-4',
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base_provider = 'OpenAI',
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best_provider = IterListProvider([Chatgpt4Online, Ai4Chat, ChatGpt, Airforce, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
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best_provider = IterListProvider([Chatgpt4Online, ChatGpt, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
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)
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# o1
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@ -161,24 +161,17 @@ llama_2_7b = Model(
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base_provider = "Meta Llama",
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best_provider = IterListProvider([Cloudflare, Airforce])
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)
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llama_2_13b = Model(
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name = "llama-2-13b",
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base_provider = "Meta Llama",
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best_provider = Airforce
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)
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# llama 3
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llama_3_8b = Model(
|
||||
name = "llama-3-8b",
|
||||
base_provider = "Meta Llama",
|
||||
best_provider = IterListProvider([Cloudflare, Airforce])
|
||||
best_provider = IterListProvider([Cloudflare])
|
||||
)
|
||||
|
||||
llama_3_70b = Model(
|
||||
name = "llama-3-70b",
|
||||
base_provider = "Meta Llama",
|
||||
best_provider = IterListProvider([ReplicateHome, Airforce])
|
||||
best_provider = IterListProvider([ReplicateHome])
|
||||
)
|
||||
|
||||
# llama 3.1
|
||||
@ -191,84 +184,39 @@ llama_3_1_8b = Model(
|
||||
llama_3_1_70b = Model(
|
||||
name = "llama-3.1-70b",
|
||||
base_provider = "Meta Llama",
|
||||
best_provider = IterListProvider([DDG, DeepInfraChat, Blackbox, TeachAnything, DarkAI, AiMathGPT, RubiksAI, Airforce, HuggingChat, HuggingFace, PerplexityLabs])
|
||||
best_provider = IterListProvider([DDG, DeepInfraChat, Blackbox, TeachAnything, DarkAI, AiMathGPT, Airforce, RubiksAI, HuggingChat, HuggingFace, PerplexityLabs])
|
||||
)
|
||||
|
||||
llama_3_1_405b = Model(
|
||||
name = "llama-3.1-405b",
|
||||
base_provider = "Meta Llama",
|
||||
best_provider = IterListProvider([Blackbox, 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 = IterListProvider([Cloudflare, Airforce])
|
||||
)
|
||||
|
||||
llama_3_2_3b = Model(
|
||||
name = "llama-3.2-3b",
|
||||
base_provider = "Meta Llama",
|
||||
best_provider = IterListProvider([Airforce])
|
||||
best_provider = IterListProvider([Cloudflare])
|
||||
)
|
||||
|
||||
llama_3_2_11b = Model(
|
||||
name = "llama-3.2-11b",
|
||||
base_provider = "Meta Llama",
|
||||
best_provider = IterListProvider([HuggingChat, Airforce, HuggingFace])
|
||||
best_provider = IterListProvider([HuggingChat, HuggingFace])
|
||||
)
|
||||
|
||||
llama_3_2_90b = Model(
|
||||
name = "llama-3.2-90b",
|
||||
base_provider = "Meta Llama",
|
||||
best_provider = IterListProvider([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
|
||||
)
|
||||
|
||||
llamaguard_3_8b = Model(
|
||||
name = "llamaguard-3-8b",
|
||||
base_provider = "Meta Llama",
|
||||
best_provider = Airforce
|
||||
)
|
||||
|
||||
llamaguard_3_11b = Model(
|
||||
name = "llamaguard-3-11b",
|
||||
base_provider = "Meta Llama",
|
||||
best_provider = Airforce
|
||||
)
|
||||
|
||||
|
||||
### Mistral ###
|
||||
mistral_7b = Model(
|
||||
name = "mistral-7b",
|
||||
base_provider = "Mistral",
|
||||
best_provider = IterListProvider([Free2GPT, Airforce])
|
||||
best_provider = IterListProvider([Free2GPT])
|
||||
)
|
||||
|
||||
mixtral_8x7b = Model(
|
||||
name = "mixtral-8x7b",
|
||||
base_provider = "Mistral",
|
||||
best_provider = IterListProvider([DDG, ReplicateHome, Airforce])
|
||||
)
|
||||
|
||||
mixtral_8x22b = Model(
|
||||
name = "mixtral-8x22b",
|
||||
base_provider = "Mistral",
|
||||
best_provider = IterListProvider([Airforce])
|
||||
best_provider = IterListProvider([DDG, ReplicateHome])
|
||||
)
|
||||
|
||||
mistral_nemo = Model(
|
||||
@ -279,8 +227,8 @@ mistral_nemo = Model(
|
||||
|
||||
|
||||
### NousResearch ###
|
||||
hermes_2 = Model(
|
||||
name = "hermes-2",
|
||||
hermes_2_pro = Model(
|
||||
name = "hermes-2-pro",
|
||||
base_provider = "NousResearch",
|
||||
best_provider = Airforce
|
||||
)
|
||||
@ -305,12 +253,6 @@ phi_2 = Model(
|
||||
best_provider = IterListProvider([Cloudflare, Airforce])
|
||||
)
|
||||
|
||||
phi_3_medium_4k = Model(
|
||||
name = "phi-3-medium-4k",
|
||||
base_provider = "Microsoft",
|
||||
best_provider = None
|
||||
)
|
||||
|
||||
phi_3_5_mini = Model(
|
||||
name = "phi-3.5-mini",
|
||||
base_provider = "Microsoft",
|
||||
@ -322,13 +264,13 @@ phi_3_5_mini = Model(
|
||||
gemini_pro = Model(
|
||||
name = 'gemini-pro',
|
||||
base_provider = 'Google DeepMind',
|
||||
best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, FreeGpt, 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(
|
||||
@ -341,13 +283,7 @@ gemini = Model(
|
||||
gemma_2b = Model(
|
||||
name = 'gemma-2b',
|
||||
base_provider = 'Google',
|
||||
best_provider = IterListProvider([ReplicateHome, Airforce])
|
||||
)
|
||||
|
||||
gemma_2b_27b = Model(
|
||||
name = 'gemma-2b-27b',
|
||||
base_provider = 'Google',
|
||||
best_provider = IterListProvider([Airforce])
|
||||
best_provider = IterListProvider([ReplicateHome])
|
||||
)
|
||||
|
||||
gemma_7b = Model(
|
||||
@ -356,13 +292,6 @@ gemma_7b = Model(
|
||||
best_provider = Cloudflare
|
||||
)
|
||||
|
||||
# gemma 2
|
||||
gemma_2_9b = Model(
|
||||
name = 'gemma-2-9b',
|
||||
base_provider = 'Google',
|
||||
best_provider = Airforce
|
||||
)
|
||||
|
||||
|
||||
### Anthropic ###
|
||||
claude_2_1 = Model(
|
||||
@ -419,15 +348,6 @@ blackboxai_pro = Model(
|
||||
best_provider = Blackbox
|
||||
)
|
||||
|
||||
|
||||
### Databricks ###
|
||||
dbrx_instruct = Model(
|
||||
name = 'dbrx-instruct',
|
||||
base_provider = 'Databricks',
|
||||
best_provider = IterListProvider([Airforce])
|
||||
)
|
||||
|
||||
|
||||
### CohereForAI ###
|
||||
command_r_plus = Model(
|
||||
name = 'command-r-plus',
|
||||
@ -466,28 +386,10 @@ qwen_1_5_14b = Model(
|
||||
qwen_2_72b = Model(
|
||||
name = 'qwen-2-72b',
|
||||
base_provider = 'Qwen',
|
||||
best_provider = IterListProvider([DeepInfraChat, HuggingChat, Airforce, HuggingFace])
|
||||
)
|
||||
|
||||
qwen_2_5_7b = Model(
|
||||
name = 'qwen-2-5-7b',
|
||||
base_provider = 'Qwen',
|
||||
best_provider = Airforce
|
||||
)
|
||||
|
||||
qwen_2_5_72b = Model(
|
||||
name = 'qwen-2-5-72b',
|
||||
base_provider = 'Qwen',
|
||||
best_provider = Airforce
|
||||
best_provider = IterListProvider([DeepInfraChat, HuggingChat, HuggingFace])
|
||||
)
|
||||
|
||||
### Upstage ###
|
||||
solar_10_7b = Model(
|
||||
name = 'solar-10-7b',
|
||||
base_provider = 'Upstage',
|
||||
best_provider = Airforce
|
||||
)
|
||||
|
||||
solar_mini = Model(
|
||||
name = 'solar-mini',
|
||||
base_provider = 'Upstage',
|
||||
@ -519,7 +421,7 @@ deepseek_coder = Model(
|
||||
wizardlm_2_8x22b = Model(
|
||||
name = 'wizardlm-2-8x22b',
|
||||
base_provider = 'WizardLM',
|
||||
best_provider = IterListProvider([DeepInfraChat, Airforce])
|
||||
best_provider = IterListProvider([DeepInfraChat])
|
||||
)
|
||||
|
||||
### Yorickvp ###
|
||||
@ -529,44 +431,11 @@ llava_13b = Model(
|
||||
best_provider = ReplicateHome
|
||||
)
|
||||
|
||||
|
||||
### OpenBMB ###
|
||||
minicpm_llama_3_v2_5 = Model(
|
||||
name = 'minicpm-llama-3-v2.5',
|
||||
base_provider = 'OpenBMB',
|
||||
best_provider = None
|
||||
)
|
||||
|
||||
|
||||
### Lzlv ###
|
||||
lzlv_70b = Model(
|
||||
name = 'lzlv-70b',
|
||||
base_provider = 'Lzlv',
|
||||
best_provider = None
|
||||
)
|
||||
|
||||
|
||||
### OpenChat ###
|
||||
openchat_3_6_8b = Model(
|
||||
name = 'openchat-3.6-8b',
|
||||
openchat_3_5 = Model(
|
||||
name = 'openchat-3.5',
|
||||
base_provider = 'OpenChat',
|
||||
best_provider = None
|
||||
)
|
||||
|
||||
|
||||
### Phind ###
|
||||
phind_codellama_34b_v2 = Model(
|
||||
name = 'phind-codellama-34b-v2',
|
||||
base_provider = 'Phind',
|
||||
best_provider = None
|
||||
)
|
||||
|
||||
|
||||
### Cognitive Computations ###
|
||||
dolphin_2_9_1_llama_3_70b = Model(
|
||||
name = 'dolphin-2.9.1-llama-3-70b',
|
||||
base_provider = 'Cognitive Computations',
|
||||
best_provider = None
|
||||
best_provider = Airforce
|
||||
)
|
||||
|
||||
|
||||
@ -650,6 +519,13 @@ zephyr_7b = Model(
|
||||
best_provider = Airforce
|
||||
)
|
||||
|
||||
### Inferless ###
|
||||
neural_7b = Model(
|
||||
name = 'neural-7b',
|
||||
base_provider = 'inferless',
|
||||
best_provider = Airforce
|
||||
)
|
||||
|
||||
|
||||
|
||||
#############
|
||||
@ -660,7 +536,7 @@ zephyr_7b = Model(
|
||||
sdxl = Model(
|
||||
name = 'sdxl',
|
||||
base_provider = 'Stability AI',
|
||||
best_provider = IterListProvider([ReplicateHome, Airforce])
|
||||
best_provider = IterListProvider([ReplicateHome])
|
||||
|
||||
)
|
||||
|
||||
@ -740,7 +616,7 @@ flux_4o = Model(
|
||||
flux_schnell = Model(
|
||||
name = 'flux-schnell',
|
||||
base_provider = 'Flux AI',
|
||||
best_provider = IterListProvider([ReplicateHome])
|
||||
best_provider = ReplicateHome
|
||||
|
||||
)
|
||||
|
||||
@ -786,7 +662,6 @@ class ModelUtils:
|
||||
|
||||
# llama-2
|
||||
'llama-2-7b': llama_2_7b,
|
||||
'llama-2-13b': llama_2_13b,
|
||||
|
||||
# llama-3
|
||||
'llama-3-8b': llama_3_8b,
|
||||
@ -799,33 +674,23 @@ 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,
|
||||
'llamaguard-3-8b': llamaguard_3_8b,
|
||||
'llamaguard-3-11b': llamaguard_3_11b,
|
||||
|
||||
|
||||
### Mistral ###
|
||||
'mistral-7b': mistral_7b,
|
||||
'mixtral-8x7b': mixtral_8x7b,
|
||||
'mixtral-8x22b': mixtral_8x22b,
|
||||
'mistral-nemo': mistral_nemo,
|
||||
|
||||
|
||||
### NousResearch ###
|
||||
'hermes-2': hermes_2,
|
||||
'hermes-2-pro': hermes_2_pro,
|
||||
'hermes-2-dpo': hermes_2_dpo,
|
||||
'hermes-3': hermes_3,
|
||||
|
||||
|
||||
### Microsoft ###
|
||||
'phi-2': phi_2,
|
||||
'phi_3_medium-4k': phi_3_medium_4k,
|
||||
'phi-3.5-mini': phi_3_5_mini,
|
||||
|
||||
|
||||
@ -837,12 +702,8 @@ class ModelUtils:
|
||||
|
||||
# gemma
|
||||
'gemma-2b': gemma_2b,
|
||||
'gemma-2b-27b': gemma_2b_27b,
|
||||
'gemma-7b': gemma_7b,
|
||||
|
||||
# gemma-2
|
||||
'gemma-2-9b': gemma_2_9b,
|
||||
|
||||
|
||||
### Anthropic ###
|
||||
'claude-2.1': claude_2_1,
|
||||
@ -869,10 +730,6 @@ class ModelUtils:
|
||||
'command-r+': command_r_plus,
|
||||
|
||||
|
||||
### Databricks ###
|
||||
'dbrx-instruct': dbrx_instruct,
|
||||
|
||||
|
||||
### GigaChat ###
|
||||
'gigachat': gigachat,
|
||||
|
||||
@ -888,13 +745,8 @@ class ModelUtils:
|
||||
# qwen 2
|
||||
'qwen-2-72b': qwen_2_72b,
|
||||
|
||||
# qwen 2-5
|
||||
'qwen-2-5-7b': qwen_2_5_7b,
|
||||
'qwen-2-5-72b': qwen_2_5_72b,
|
||||
|
||||
|
||||
### Upstage ###
|
||||
'solar-10-7b': solar_10_7b,
|
||||
'solar-mini': solar_mini,
|
||||
'solar-pro': solar_pro,
|
||||
|
||||
@ -915,24 +767,8 @@ class ModelUtils:
|
||||
'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,
|
||||
'openchat-3.5': openchat_3_5,
|
||||
|
||||
|
||||
### x.ai ###
|
||||
@ -974,6 +810,10 @@ class ModelUtils:
|
||||
'zephyr-7b': zephyr_7b,
|
||||
|
||||
|
||||
### Inferless ###
|
||||
'neural-7b': neural_7b,
|
||||
|
||||
|
||||
|
||||
#############
|
||||
### Image ###
|
||||
|
||||
Loading…
Reference in New Issue
Block a user