diff options
Diffstat (limited to 'g4f')
| -rw-r--r-- | g4f/Provider/Airforce.py | 255 | ||||
| -rw-r--r-- | g4f/Provider/FluxAirforce.py | 82 | ||||
| -rw-r--r-- | g4f/Provider/Rocks.py | 70 | ||||
| -rw-r--r-- | g4f/Provider/__init__.py | 3 | ||||
| -rw-r--r-- | g4f/models.py | 180 |
5 files changed, 396 insertions, 194 deletions
diff --git a/g4f/Provider/Airforce.py b/g4f/Provider/Airforce.py new file mode 100644 index 00000000..88896096 --- /dev/null +++ b/g4f/Provider/Airforce.py @@ -0,0 +1,255 @@ +from __future__ import annotations + +from aiohttp import ClientSession, ClientResponseError +from urllib.parse import urlencode +import json +import io +import asyncio + +from ..typing import AsyncResult, Messages +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin +from ..image import ImageResponse, is_accepted_format +from .helper import format_prompt + +class Airforce(AsyncGeneratorProvider, ProviderModelMixin): + url = "https://api.airforce" + text_api_endpoint = "https://api.airforce/chat/completions" + image_api_endpoint = "https://api.airforce/v1/imagine2" + working = True + supports_gpt_35_turbo = True + supports_gpt_4 = True + supports_stream = True + supports_system_message = True + supports_message_history = True + default_model = 'llama-3-70b-chat' + text_models = [ + # Open source models + 'llama-2-13b-chat', + + 'llama-3-70b-chat', + 'llama-3-70b-chat-turbo', + 'llama-3-70b-chat-lite', + + 'llama-3-8b-chat', + 'llama-3-8b-chat-turbo', + 'llama-3-8b-chat-lite', + + 'llama-3.1-405b-turbo', + 'llama-3.1-70b-turbo', + 'llama-3.1-8b-turbo', + + 'LlamaGuard-2-8b', + 'Llama-Guard-7b', + 'Meta-Llama-Guard-3-8B', + + 'Mixtral-8x7B-Instruct-v0.1', + 'Mixtral-8x22B-Instruct-v0.1', + 'Mistral-7B-Instruct-v0.1', + 'Mistral-7B-Instruct-v0.2', + 'Mistral-7B-Instruct-v0.3', + + 'Qwen1.5-72B-Chat', + 'Qwen1.5-110B-Chat', + 'Qwen2-72B-Instruct', + + 'gemma-2b-it', + 'gemma-2-9b-it', + 'gemma-2-27b-it', + + 'dbrx-instruct', + + 'deepseek-llm-67b-chat', + + 'Nous-Hermes-2-Mixtral-8x7B-DPO', + 'Nous-Hermes-2-Yi-34B', + + 'WizardLM-2-8x22B', + + 'SOLAR-10.7B-Instruct-v1.0', + + 'StripedHyena-Nous-7B', + + 'sparkdesk', + + + # Other models + 'chatgpt-4o-latest', + 'gpt-4', + 'gpt-4-turbo', + 'gpt-4o-mini-2024-07-18', + 'gpt-4o-mini', + 'gpt-4o', + 'gpt-3.5-turbo', + 'gpt-3.5-turbo-0125', + 'gpt-3.5-turbo-1106', + 'gpt-3.5-turbo-16k', + 'gpt-3.5-turbo-0613', + 'gpt-3.5-turbo-16k-0613', + + 'gemini-1.5-flash', + 'gemini-1.5-pro', + ] + image_models = [ + 'flux', + 'flux-realism', + 'flux-anime', + 'flux-3d', + 'flux-disney', + 'flux-pixel', + 'any-dark', + ] + + models = [ + *text_models, + *image_models + ] + model_aliases = { + # Open source models + "llama-2-13b": "llama-2-13b-chat", + + "llama-3-70b": "llama-3-70b-chat", + "llama-3-70b": "llama-3-70b-chat-turbo", + "llama-3-70b": "llama-3-70b-chat-lite", + + "llama-3-8b": "llama-3-8b-chat", + "llama-3-8b": "llama-3-8b-chat-turbo", + "llama-3-8b": "llama-3-8b-chat-lite", + + "llama-3.1-405b": "llama-3.1-405b-turbo", + "llama-3.1-70b": "llama-3.1-70b-turbo", + "llama-3.1-8b": "llama-3.1-8b-turbo", + + "mixtral-8x7b": "Mixtral-8x7B-Instruct-v0.1", + "mixtral-8x22b": "Mixtral-8x22B-Instruct-v0.1", + "mistral-7b": "Mistral-7B-Instruct-v0.1", + "mistral-7b": "Mistral-7B-Instruct-v0.2", + "mistral-7b": "Mistral-7B-Instruct-v0.3", + + "mixtral-8x7b-dpo": "Nous-Hermes-2-Mixtral-8x7B-DPO", + + "qwen-1-5-72b": "Qwen1.5-72B-Chat", + "qwen-1_5-110b": "Qwen1.5-110B-Chat", + "qwen-2-72b": "Qwen2-72B-Instruct", + + "gemma-2b": "gemma-2b-it", + "gemma-2b-9b": "gemma-2-9b-it", + "gemma-2b-27b": "gemma-2-27b-it", + + "deepseek": "deepseek-llm-67b-chat", + + "yi-34b": "Nous-Hermes-2-Yi-34B", + + "wizardlm-2-8x22b": "WizardLM-2-8x22B", + + "solar-10-7b": "SOLAR-10.7B-Instruct-v1.0", + + "sh-n-7b": "StripedHyena-Nous-7B", + + "sparkdesk-v1.1": "sparkdesk", + + + # Other models + "gpt-4o": "chatgpt-4o-latest", + "gpt-4o-mini": "gpt-4o-mini-2024-07-18", + + "gpt-3.5-turbo": "gpt-3.5-turbo-0125", + "gpt-3.5-turbo": "gpt-3.5-turbo-1106", + "gpt-3.5-turbo": "gpt-3.5-turbo-16k", + "gpt-3.5-turbo": "gpt-3.5-turbo-0613", + "gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613", + + + "gemini-flash": "gemini-1.5-flash", + "gemini-pro": "gemini-1.5-pro", + } + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + proxy: str = None, + **kwargs + ) -> AsyncResult: + model = cls.get_model(model) + + headers = { + "accept": "*/*", + "accept-language": "en-US,en;q=0.9", + "content-type": "application/json", + "origin": "https://api.airforce", + "sec-ch-ua": '"Chromium";v="128", "Not(A:Brand";v="24"', + "sec-ch-ua-mobile": "?0", + "sec-ch-ua-platform": '"Linux"', + "sec-fetch-dest": "empty", + "sec-fetch-mode": "cors", + "sec-fetch-site": "cross-site", + "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36" + } + + + if model in cls.image_models: + async for item in cls.generate_image(model, messages, headers, proxy, **kwargs): + yield item + else: + async for item in cls.generate_text(model, messages, headers, proxy, **kwargs): + yield item + + @classmethod + async def generate_text(cls, model: str, messages: Messages, headers: dict, proxy: str, **kwargs) -> AsyncResult: + async with ClientSession(headers=headers) as session: + data = { + "messages": [{"role": "user", "content": format_prompt(messages)}], + "model": model, + "temperature": kwargs.get('temperature', 1), + "top_p": kwargs.get('top_p', 1), + "stream": True + } + + async with session.post(cls.text_api_endpoint, json=data, proxy=proxy) as response: + response.raise_for_status() + async for line in response.content: + if line: + line = line.decode('utf-8').strip() + if line.startswith("data: "): + try: + data = json.loads(line[6:]) + if 'choices' in data and len(data['choices']) > 0: + delta = data['choices'][0].get('delta', {}) + if 'content' in delta: + yield delta['content'] + except json.JSONDecodeError: + continue + elif line == "data: [DONE]": + break + + @classmethod + async def generate_image(cls, model: str, messages: Messages, headers: dict, proxy: str, **kwargs) -> AsyncResult: + prompt = messages[-1]['content'] if messages else "" + params = { + "prompt": prompt, + "size": kwargs.get("size", "1:1"), + "seed": kwargs.get("seed"), + "model": model + } + params = {k: v for k, v in params.items() if v is not None} + + try: + async with ClientSession(headers=headers) as session: + async with session.get(cls.image_api_endpoint, params=params, proxy=proxy) as response: + response.raise_for_status() + content = await response.read() + + if response.content_type.startswith('image/'): + image_url = str(response.url) + yield ImageResponse(image_url, prompt) + else: + try: + text = content.decode('utf-8', errors='ignore') + yield f"Error: {text}" + except Exception as decode_error: + yield f"Error: Unable to decode response - {str(decode_error)}" + except ClientResponseError as e: + yield f"Error: HTTP {e.status}: {e.message}" + except Exception as e: + yield f"Unexpected error: {str(e)}" diff --git a/g4f/Provider/FluxAirforce.py b/g4f/Provider/FluxAirforce.py deleted file mode 100644 index fe003a61..00000000 --- a/g4f/Provider/FluxAirforce.py +++ /dev/null @@ -1,82 +0,0 @@ -from __future__ import annotations - -from aiohttp import ClientSession, ClientResponseError -from urllib.parse import urlencode -import io - -from ..typing import AsyncResult, Messages -from .base_provider import AsyncGeneratorProvider, ProviderModelMixin -from ..image import ImageResponse, is_accepted_format - -class FluxAirforce(AsyncGeneratorProvider, ProviderModelMixin): - url = "https://flux.api.airforce/" - api_endpoint = "https://api.airforce/v1/imagine2" - working = True - default_model = 'flux-realism' - models = [ - 'flux', - 'flux-realism', - 'flux-anime', - 'flux-3d', - 'flux-disney' - ] - - @classmethod - async def create_async_generator( - cls, - model: str, - messages: Messages, - proxy: str = None, - **kwargs - ) -> AsyncResult: - headers = { - "accept": "*/*", - "accept-language": "en-US,en;q=0.9", - "origin": "https://flux.api.airforce", - "priority": "u=1, i", - "referer": "https://flux.api.airforce/", - "sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"', - "sec-ch-ua-mobile": "?0", - "sec-ch-ua-platform": '"Linux"', - "sec-fetch-dest": "empty", - "sec-fetch-mode": "cors", - "sec-fetch-site": "same-site", - "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36" - } - - prompt = messages[-1]['content'] if messages else "" - - params = { - "prompt": prompt, - "size": kwargs.get("size", "1:1"), - "seed": kwargs.get("seed"), - "model": model - } - - params = {k: v for k, v in params.items() if v is not None} - - try: - async with ClientSession(headers=headers) as session: - async with session.get(f"{cls.api_endpoint}", params=params, proxy=proxy) as response: - response.raise_for_status() - - content = await response.read() - - if response.content_type.startswith('image/'): - image_url = str(response.url) - yield ImageResponse(image_url, prompt) - else: - try: - text = content.decode('utf-8', errors='ignore') - yield f"Error: {text}" - except Exception as decode_error: - yield f"Error: Unable to decode response - {str(decode_error)}" - - except ClientResponseError as e: - yield f"Error: HTTP {e.status}: {e.message}" - except Exception as e: - yield f"Unexpected error: {str(e)}" - - finally: - if not session.closed: - await session.close() diff --git a/g4f/Provider/Rocks.py b/g4f/Provider/Rocks.py deleted file mode 100644 index f44e0060..00000000 --- a/g4f/Provider/Rocks.py +++ /dev/null @@ -1,70 +0,0 @@ -import asyncio -import json -from aiohttp import ClientSession -from ..typing import Messages, AsyncResult -from .base_provider import AsyncGeneratorProvider - -class Rocks(AsyncGeneratorProvider): - url = "https://api.airforce" - api_endpoint = "/chat/completions" - supports_message_history = True - supports_gpt_35_turbo = True - supports_gpt_4 = True - supports_stream = True - supports_system_message = True - working = True - - @classmethod - async def create_async_generator( - cls, - model: str, - messages: Messages, - proxy: str = None, - **kwargs - ) -> AsyncResult: - payload = {"messages":messages,"model":model,"max_tokens":4096,"temperature":1,"top_p":1,"stream":True} - - headers = { - "Accept": "application/json", - "Accept-Encoding": "gzip, deflate, br, zstd", - "Accept-Language": "en-US,en;q=0.9", - "Authorization": "Bearer missing api key", - "Origin": "https://llmplayground.net", - "Referer": "https://llmplayground.net/", - "Sec-Fetch-Dest": "empty", - "Sec-Fetch-Mode": "cors", - "Sec-Fetch-Site": "same-origin", - "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36", - } - - async with ClientSession() as session: - async with session.post( - f"{cls.url}{cls.api_endpoint}", - json=payload, - proxy=proxy, - headers=headers - ) as response: - response.raise_for_status() - last_chunk_time = asyncio.get_event_loop().time() - - async for line in response.content: - current_time = asyncio.get_event_loop().time() - if current_time - last_chunk_time > 5: - return - - if line.startswith(b"\n"): - pass - elif "discord.com/invite/" in line.decode() or "discord.gg/" in line.decode(): - pass # trolled - elif line.startswith(b"data: "): - try: - line = json.loads(line[6:]) - except json.JSONDecodeError: - continue - chunk = line["choices"][0]["delta"].get("content") - if chunk: - yield chunk - last_chunk_time = current_time - else: - raise Exception(f"Unexpected line: {line}") - return
\ No newline at end of file diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py index de211c7e..e4c85d6a 100644 --- a/g4f/Provider/__init__.py +++ b/g4f/Provider/__init__.py @@ -13,6 +13,7 @@ from .AI365VIP import AI365VIP from .Allyfy import Allyfy from .AiChatOnline import AiChatOnline from .AiChats import AiChats +from .Airforce import Airforce from .Aura import Aura from .Bing import Bing from .BingCreateImages import BingCreateImages @@ -28,7 +29,6 @@ from .DDG import DDG from .DeepInfra import DeepInfra from .DeepInfraImage import DeepInfraImage from .FlowGpt import FlowGpt -from .FluxAirforce import FluxAirforce from .Free2GPT import Free2GPT from .FreeChatgpt import FreeChatgpt from .FreeGpt import FreeGpt @@ -55,7 +55,6 @@ from .Reka import Reka from .Snova import Snova from .Replicate import Replicate from .ReplicateHome import ReplicateHome -from .Rocks import Rocks from .TeachAnything import TeachAnything from .TwitterBio import TwitterBio from .Upstage import Upstage diff --git a/g4f/models.py b/g4f/models.py index 2b5f11d0..6547d38c 100644 --- a/g4f/models.py +++ b/g4f/models.py @@ -5,6 +5,7 @@ from dataclasses import dataclass from .Provider import IterListProvider, ProviderType from .Provider import ( AiChatOnline, + Airforce, Allyfy, Bing, Binjie, @@ -18,7 +19,6 @@ from .Provider import ( DDG, DeepInfra, DeepInfraImage, - FluxAirforce, Free2GPT, FreeChatgpt, FreeGpt, @@ -105,7 +105,7 @@ gpt_35_turbo = Model( name = 'gpt-3.5-turbo', base_provider = 'OpenAI', best_provider = IterListProvider([ - Allyfy, TwitterBio, Nexra, Bixin123, CodeNews, + Allyfy, TwitterBio, Nexra, Bixin123, CodeNews, Airforce, ]) ) @@ -114,7 +114,8 @@ gpt_4o = Model( name = 'gpt-4o', base_provider = 'OpenAI', best_provider = IterListProvider([ - Liaobots, Chatgpt4o, OpenaiChat, + Liaobots, Chatgpt4o, Airforce, + OpenaiChat, ]) ) @@ -122,8 +123,8 @@ gpt_4o_mini = Model( name = 'gpt-4o-mini', base_provider = 'OpenAI', best_provider = IterListProvider([ - DDG, Liaobots, You, FreeNetfly, Pizzagpt, ChatgptFree, AiChatOnline, CodeNews, - MagickPen, OpenaiChat, Koala, + DDG, Liaobots, You, FreeNetfly, Pizzagpt, ChatgptFree, AiChatOnline, CodeNews, MagickPen, Airforce, + OpenaiChat, Koala, ]) ) @@ -131,7 +132,7 @@ gpt_4_turbo = Model( name = 'gpt-4-turbo', base_provider = 'OpenAI', best_provider = IterListProvider([ - Nexra, Bixin123, Liaobots, Bing + Nexra, Bixin123, Liaobots, Airforce, Bing ]) ) @@ -139,7 +140,7 @@ gpt_4 = Model( name = 'gpt-4', base_provider = 'OpenAI', best_provider = IterListProvider([ - Chatgpt4Online, Nexra, Binjie, Bing, + Chatgpt4Online, Nexra, Binjie, Airforce, Bing, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider ]) ) @@ -159,48 +160,60 @@ meta = Model( best_provider = MetaAI ) +llama_2_13b = Model( + name = "llama-2-13b", + base_provider = "Meta", + best_provider = IterListProvider([Airforce]) +) + llama_3_8b = Model( name = "llama-3-8b", base_provider = "Meta", - best_provider = IterListProvider([DeepInfra, Replicate]) + best_provider = IterListProvider([Airforce, DeepInfra, Replicate]) ) llama_3_70b = Model( name = "llama-3-70b", base_provider = "Meta", - best_provider = IterListProvider([ReplicateHome, DeepInfra, Replicate]) + best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate]) ) llama_3_1_8b = Model( name = "llama-3.1-8b", base_provider = "Meta", - best_provider = IterListProvider([Blackbox, PerplexityLabs]) + best_provider = IterListProvider([Blackbox, Airforce, PerplexityLabs]) ) llama_3_1_70b = Model( name = "llama-3.1-70b", base_provider = "Meta", - best_provider = IterListProvider([DDG, HuggingChat, FreeGpt, Blackbox, TeachAnything, Free2GPT, HuggingFace, PerplexityLabs]) + 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]) + 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 = "mixtral-8x7b", base_provider = "Mistral", - best_provider = IterListProvider([HuggingChat, DDG, ReplicateHome, TwitterBio, DeepInfra, HuggingFace,]) + best_provider = IterListProvider([HuggingChat, DDG, ReplicateHome, TwitterBio, Airforce, DeepInfra, HuggingFace]) ) -mistral_7b = Model( - name = "mistral-7b", +mixtral_8x22b = Model( + name = "mixtral-8x22b", base_provider = "Mistral", - best_provider = IterListProvider([HuggingChat, HuggingFace, DeepInfra]) + best_provider = IterListProvider([Airforce]) ) @@ -208,7 +221,13 @@ mistral_7b = Model( mixtral_8x7b_dpo = Model( name = "mixtral-8x7b-dpo", base_provider = "NousResearch", - best_provider = IterListProvider([HuggingChat, HuggingFace,]) + best_provider = IterListProvider([HuggingChat, Airforce, HuggingFace]) +) + +yi_34b = Model( + name = 'yi-34b', + base_provider = 'NousResearch', + best_provider = IterListProvider([Airforce]) ) @@ -222,29 +241,45 @@ phi_3_mini_4k = Model( ### Google ### # gemini -gemini = Model( - name = 'gemini', - base_provider = 'Google', - best_provider = Gemini -) - gemini_pro = Model( name = 'gemini-pro', base_provider = 'Google', - best_provider = IterListProvider([GeminiPro, ChatGot, Liaobots]) + best_provider = IterListProvider([GeminiPro, ChatGot, Liaobots, Airforce]) ) gemini_flash = Model( name = 'gemini-flash', base_provider = 'Google', - best_provider = IterListProvider([Liaobots, Blackbox]) + best_provider = IterListProvider([Blackbox, Liaobots, Airforce]) ) +gemini = Model( + name = 'gemini', + base_provider = 'Google', + best_provider = IterListProvider([ + Gemini, + gemini_flash.best_provider, gemini_pro.best_provider + ]) +) + + # gemma gemma_2b = Model( name = 'gemma-2b', base_provider = 'Google', - best_provider = IterListProvider([ReplicateHome]) + best_provider = IterListProvider([ReplicateHome, Airforce]) +) + +gemma_2b_9b = Model( + name = 'gemma-2b-9b', + base_provider = 'Google', + best_provider = IterListProvider([Airforce]) +) + +gemma_2b_27b = Model( + name = 'gemma-2b-27b', + base_provider = 'Google', + best_provider = IterListProvider([Airforce]) ) ### Anthropic ### @@ -311,7 +346,7 @@ blackbox = Model( dbrx_instruct = Model( name = 'dbrx-instruct', base_provider = 'Databricks', - best_provider = IterListProvider([DeepInfra]) + best_provider = IterListProvider([Airforce, DeepInfra]) ) @@ -327,7 +362,7 @@ command_r_plus = Model( sparkdesk_v1_1 = Model( name = 'sparkdesk-v1.1', base_provider = 'iFlytek', - best_provider = IterListProvider([FreeChatgpt]) + best_provider = IterListProvider([FreeChatgpt, Airforce]) ) ### Qwen ### @@ -337,6 +372,24 @@ qwen_1_5_14b = Model( 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', @@ -360,7 +413,10 @@ glm_4_9b = Model( glm_4 = Model( name = 'glm-4', base_provider = 'Zhipu AI', - best_provider = IterListProvider([CodeNews, glm_4_9b.best_provider,]) + best_provider = IterListProvider([ + CodeNews, + glm_3_6b.best_provider, glm_4_9b.best_provider + ]) ) ### 01-ai ### @@ -370,14 +426,20 @@ yi_1_5_9b = Model( best_provider = IterListProvider([FreeChatgpt]) ) - -### Pi ### +### 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', @@ -410,10 +472,22 @@ westlake_7b_v2 = Model( deepseek = Model( name = 'deepseek', base_provider = 'DeepSeek', - best_provider = CodeNews + 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 +) ############# ### Image ### @@ -446,35 +520,42 @@ playground_v2_5 = Model( flux = Model( name = 'flux', base_provider = 'Flux AI', - best_provider = IterListProvider([FluxAirforce]) + best_provider = IterListProvider([Airforce]) ) flux_realism = Model( name = 'flux-realism', base_provider = 'Flux AI', - best_provider = IterListProvider([FluxAirforce]) + best_provider = IterListProvider([Airforce]) ) flux_anime = Model( name = 'flux-anime', base_provider = 'Flux AI', - best_provider = IterListProvider([FluxAirforce]) + best_provider = IterListProvider([Airforce]) ) flux_3d = Model( name = 'flux-3d', base_provider = 'Flux AI', - best_provider = IterListProvider([FluxAirforce]) + best_provider = IterListProvider([Airforce]) ) flux_disney = Model( name = 'flux-disney', base_provider = 'Flux AI', - best_provider = IterListProvider([FluxAirforce]) + best_provider = IterListProvider([Airforce]) + +) + +flux_pixel = Model( + name = 'flux-pixel', + base_provider = 'Flux AI', + best_provider = IterListProvider([Airforce]) ) @@ -537,6 +618,9 @@ class ModelUtils: ### Meta ### "meta-ai": meta, +# llama-2 +'llama-2-13b': llama_2_13b, + # llama-3 'llama-3-8b': llama_3_8b, 'llama-3-70b': llama_3_70b, @@ -545,14 +629,19 @@ class ModelUtils: 'llama-3.1-8b': llama_3_1_8b, 'llama-3.1-70b': llama_3_1_70b, 'llama-3.1-405b': llama_3_1_405b, + ### Mistral ### -'mixtral-8x7b': mixtral_8x7b, 'mistral-7b': mistral_7b, +'mixtral-8x7b': mixtral_8x7b, +'mixtral-8x22b': mixtral_8x22b, ### NousResearch ### -'mixtral-8x7b-dpo': mixtral_8x7b_dpo, +'mixtral-8x7b-dpo': mixtral_8x7b_dpo, + +'yi-34b': yi_34b, + ### Microsoft ### 'phi-3-mini-4k': phi_3_mini_4k, @@ -566,6 +655,8 @@ class ModelUtils: # gemma 'gemma-2b': gemma_2b, +'gemma-2b-9b': gemma_2b_9b, +'gemma-2b-27b': gemma_2b_27b, ### Anthropic ### @@ -575,8 +666,8 @@ class ModelUtils: 'claude-3-opus': claude_3_opus, 'claude-3-sonnet': claude_3_sonnet, -'claude-3-5-sonnet': claude_3_5_sonnet, 'claude-3-haiku': claude_3_haiku, +'claude-3-5-sonnet': claude_3_5_sonnet, ### Reka AI ### @@ -605,6 +696,9 @@ class ModelUtils: ### 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, @@ -620,6 +714,7 @@ class ModelUtils: ### Upstage ### 'solar-1-mini': solar_1_mini, +'solar-10-7b': solar_10_7b, ### Pi ### @@ -640,6 +735,10 @@ class ModelUtils: ### DeepSeek ### 'deepseek': deepseek, + + +### Together ### +'sh-n-7b': sh_n_7b, @@ -662,6 +761,7 @@ class ModelUtils: 'flux-anime': flux_anime, 'flux-3d': flux_3d, 'flux-disney': flux_disney, +'flux-pixel': flux_pixel, ### ### |