From f1683c8db83cee5805a6e103fca2c2551aae5086 Mon Sep 17 00:00:00 2001 From: kqlio67 Date: Sat, 31 Aug 2024 09:47:39 +0300 Subject: [PATCH] Comprehensive Updates and Enhancements Across Multiple Providers --- g4f/Provider/Blackbox.py | 20 +- g4f/Provider/ChatgptFree.py | 11 +- g4f/Provider/DDG.py | 2 - g4f/Provider/FluxAirforce.py | 69 +++++ g4f/Provider/FreeChatgpt.py | 16 +- g4f/Provider/HuggingChat.py | 16 +- g4f/Provider/HuggingFace.py | 12 +- g4f/Provider/Koala.py | 9 +- g4f/Provider/Liaobots.py | 286 ++++++++++++++------ g4f/Provider/LiteIcoding.py | 9 +- g4f/Provider/Pizzagpt.py | 2 +- g4f/Provider/Upstage.py | 74 ++++++ g4f/Provider/You.py | 1 - g4f/Provider/__init__.py | 7 +- g4f/models.py | 501 ++++++++++++++++------------------- 15 files changed, 639 insertions(+), 396 deletions(-) create mode 100644 g4f/Provider/FluxAirforce.py create mode 100644 g4f/Provider/Upstage.py diff --git a/g4f/Provider/Blackbox.py b/g4f/Provider/Blackbox.py index fd84875e..3c9e394e 100644 --- a/g4f/Provider/Blackbox.py +++ b/g4f/Provider/Blackbox.py @@ -21,6 +21,20 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin): 'llama-3.1-70b', 'llama-3.1-405b', ] + + model_aliases = { + "gemini-flash": "gemini-1.5-flash", + } + + @classmethod + def get_model(cls, model: str) -> str: + if model in cls.models: + return model + elif model in cls.model_aliases: + return cls.model_aliases[model] + else: + return cls.default_model + @classmethod async def create_async_generator( cls, @@ -55,6 +69,9 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin): async with ClientSession(headers=headers) as session: random_id = secrets.token_hex(16) random_user_id = str(uuid.uuid4()) + + model = cls.get_model(model) # Resolve the model alias + model_id_map = { "blackbox": {}, "gemini-1.5-flash": {'mode': True, 'id': 'Gemini'}, @@ -62,6 +79,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin): 'llama-3.1-70b': {'mode': True, 'id': "llama-3.1-70b"}, 'llama-3.1-405b': {'mode': True, 'id': "llama-3.1-405b"} } + data = { "messages": messages, "id": random_id, @@ -75,7 +93,7 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin): "webSearchMode": False, "userSystemPrompt": "", "githubToken": None, - "trendingAgentModel": model_id_map[model], # if you actually test this on the site, just ask each model "yo", weird behavior imo + "trendingAgentModel": model_id_map.get(model, {}), # Default to empty dict if model not found "maxTokens": None } diff --git a/g4f/Provider/ChatgptFree.py b/g4f/Provider/ChatgptFree.py index 3cf363a5..95efa865 100644 --- a/g4f/Provider/ChatgptFree.py +++ b/g4f/Provider/ChatgptFree.py @@ -43,6 +43,7 @@ class ChatgptFree(AsyncGeneratorProvider, ProviderModelMixin): 'sec-fetch-site': 'same-origin', 'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36', } + async with StreamSession( headers=headers, cookies=cookies, @@ -55,6 +56,12 @@ class ChatgptFree(AsyncGeneratorProvider, ProviderModelMixin): async with session.get(f"{cls.url}/") as response: await raise_for_status(response) response = await response.text() + + result = re.search(r'data-post-id="([0-9]+)"', response) + if not result: + raise RuntimeError("No post id found") + cls._post_id = result.group(1) + result = re.search(r'data-nonce="(.*?)"', response) if result: cls._nonce = result.group(1) @@ -70,7 +77,7 @@ class ChatgptFree(AsyncGeneratorProvider, ProviderModelMixin): "message": prompt, "bot_id": "0" } - + async with session.post(f"{cls.url}/wp-admin/admin-ajax.php", data=data, cookies=cookies) as response: await raise_for_status(response) buffer = "" @@ -96,4 +103,4 @@ class ChatgptFree(AsyncGeneratorProvider, ProviderModelMixin): if 'data' in json_response: yield json_response['data'] except json.JSONDecodeError: - print(f"Failed to decode final JSON. Buffer content: {buffer}") \ No newline at end of file + print(f"Failed to decode final JSON. Buffer content: {buffer}") diff --git a/g4f/Provider/DDG.py b/g4f/Provider/DDG.py index b8e1732f..c8c36fc9 100644 --- a/g4f/Provider/DDG.py +++ b/g4f/Provider/DDG.py @@ -21,8 +21,6 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin): default_model = "gpt-4o-mini" models = ["gpt-4o-mini", "claude-3-haiku-20240307", "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo", "mistralai/Mixtral-8x7B-Instruct-v0.1"] model_aliases = { - "gpt-4": "gpt-4o-mini", - "gpt-4o": "gpt-4o-mini", "claude-3-haiku": "claude-3-haiku-20240307", "llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo", "mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1" diff --git a/g4f/Provider/FluxAirforce.py b/g4f/Provider/FluxAirforce.py new file mode 100644 index 00000000..139e6c5e --- /dev/null +++ b/g4f/Provider/FluxAirforce.py @@ -0,0 +1,69 @@ +from __future__ import annotations + +from aiohttp import ClientSession +from urllib.parse import urlencode + +from ..typing import AsyncResult, Messages +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin +from ..image import ImageResponse + +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" + } + + # Assume the last message in the messages list is the prompt + prompt = messages[-1]['content'] if messages else "" + + params = { + "prompt": prompt, + "size": kwargs.get("size", "1:1"), + "seed": kwargs.get("seed"), + "model": model + } + + # Remove None values from params + params = {k: v for k, v in params.items() if v is not None} + + 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() + + # Get the URL of the generated image + image_url = str(response.url) + + # Create an ImageResponse object + image_response = ImageResponse(image_url, prompt) + + yield image_response diff --git a/g4f/Provider/FreeChatgpt.py b/g4f/Provider/FreeChatgpt.py index 6485ced2..20487594 100644 --- a/g4f/Provider/FreeChatgpt.py +++ b/g4f/Provider/FreeChatgpt.py @@ -10,19 +10,16 @@ class FreeChatgpt(AsyncGeneratorProvider, ProviderModelMixin): url = "https://chat.chatgpt.org.uk" api_endpoint = "/api/openai/v1/chat/completions" working = True - supports_gpt_35_turbo = True - default_model = 'gpt-3.5-turbo' + default_model = '@cf/qwen/qwen1.5-14b-chat-awq' models = [ - 'gpt-3.5-turbo', - 'SparkDesk-v1.1', - 'deepseek-coder', '@cf/qwen/qwen1.5-14b-chat-awq', - 'deepseek-chat', + 'SparkDesk-v1.1', 'Qwen2-7B-Instruct', 'glm4-9B-chat', 'chatglm3-6B', 'Yi-1.5-9B-Chat', ] + model_aliases = { "qwen-1.5-14b": "@cf/qwen/qwen1.5-14b-chat-awq", "sparkdesk-v1.1": "SparkDesk-v1.1", @@ -40,7 +37,7 @@ class FreeChatgpt(AsyncGeneratorProvider, ProviderModelMixin): return cls.model_aliases[model.lower()] else: return cls.default_model - + @classmethod async def create_async_generator( cls, @@ -49,6 +46,8 @@ class FreeChatgpt(AsyncGeneratorProvider, ProviderModelMixin): proxy: str = None, **kwargs ) -> AsyncResult: + model = cls.get_model(model) + headers = { "accept": "application/json, text/event-stream", "accept-language": "en-US,en;q=0.9", @@ -64,7 +63,6 @@ class FreeChatgpt(AsyncGeneratorProvider, ProviderModelMixin): "sec-fetch-site": "same-origin", "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36", } - model = cls.get_model(model) async with ClientSession(headers=headers) as session: prompt = format_prompt(messages) data = { @@ -93,6 +91,6 @@ class FreeChatgpt(AsyncGeneratorProvider, ProviderModelMixin): chunk = json.loads(line_str[6:]) delta_content = chunk.get("choices", [{}])[0].get("delta", {}).get("content", "") accumulated_text += delta_content - yield delta_content + yield delta_content # Yield each chunk of content except json.JSONDecodeError: pass diff --git a/g4f/Provider/HuggingChat.py b/g4f/Provider/HuggingChat.py index f1010c1c..76c76a35 100644 --- a/g4f/Provider/HuggingChat.py +++ b/g4f/Provider/HuggingChat.py @@ -22,7 +22,7 @@ class HuggingChat(AbstractProvider, ProviderModelMixin): 'mistralai/Mistral-7B-Instruct-v0.3', 'microsoft/Phi-3-mini-4k-instruct', ] - + model_aliases = { "llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct", "llama-3.1-405b": "meta-llama/Meta-Llama-3.1-405B-Instruct-FP8", @@ -42,7 +42,7 @@ class HuggingChat(AbstractProvider, ProviderModelMixin): return cls.model_aliases[model] else: return cls.default_model - + @classmethod def create_completion( cls, @@ -52,7 +52,7 @@ class HuggingChat(AbstractProvider, ProviderModelMixin): **kwargs ) -> CreateResult: model = cls.get_model(model) - + if model in cls.models: session = cf_reqs.Session() session.headers = { @@ -71,12 +71,17 @@ class HuggingChat(AbstractProvider, ProviderModelMixin): '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', } + + print(model) json_data = { 'model': model, } + response = session.post('https://huggingface.co/chat/conversation', json=json_data) conversationId = response.json()['conversationId'] + response = session.get(f'https://huggingface.co/chat/conversation/{conversationId}/__data.json?x-sveltekit-invalidated=01',) + data: list = (response.json())["nodes"][1]["data"] keys: list[int] = data[data[0]["messages"]] message_keys: dict = data[keys[0]] @@ -117,6 +122,7 @@ class HuggingChat(AbstractProvider, ProviderModelMixin): headers=headers, files=files, ) + first_token = True for line in response.iter_lines(): line = json.loads(line) @@ -133,6 +139,6 @@ class HuggingChat(AbstractProvider, ProviderModelMixin): token = token.replace('\u0000', '') yield token - + elif line["type"] == "finalAnswer": - break \ No newline at end of file + break diff --git a/g4f/Provider/HuggingFace.py b/g4f/Provider/HuggingFace.py index a3741196..74957862 100644 --- a/g4f/Provider/HuggingFace.py +++ b/g4f/Provider/HuggingFace.py @@ -1,11 +1,14 @@ from __future__ import annotations + import json from aiohttp import ClientSession, BaseConnector + from ..typing import AsyncResult, Messages from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from .helper import get_connector from ..errors import RateLimitError, ModelNotFoundError from ..requests.raise_for_status import raise_for_status + class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin): url = "https://huggingface.co/chat" working = True @@ -22,7 +25,7 @@ class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin): 'mistralai/Mistral-7B-Instruct-v0.3', 'microsoft/Phi-3-mini-4k-instruct', ] - + model_aliases = { "llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct", "llama-3.1-405b": "meta-llama/Meta-Llama-3.1-405B-Instruct-FP8", @@ -76,7 +79,7 @@ class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin): } if api_key is not None: headers["Authorization"] = f"Bearer {api_key}" - + params = { "return_full_text": False, "max_new_tokens": max_new_tokens, @@ -84,7 +87,7 @@ class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin): **kwargs } payload = {"inputs": format_prompt(messages), "parameters": params, "stream": stream} - + async with ClientSession( headers=headers, connector=get_connector(connector, proxy) @@ -106,6 +109,7 @@ class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin): yield chunk else: yield (await response.json())[0]["generated_text"].strip() + def format_prompt(messages: Messages) -> str: system_messages = [message["content"] for message in messages if message["role"] == "system"] question = " ".join([messages[-1]["content"], *system_messages]) @@ -114,4 +118,4 @@ def format_prompt(messages: Messages) -> str: for idx, message in enumerate(messages) if message["role"] == "assistant" ]) - return f"{history}[INST] {question} [/INST]" \ No newline at end of file + return f"{history}[INST] {question} [/INST]" diff --git a/g4f/Provider/Koala.py b/g4f/Provider/Koala.py index 6b2d02c3..0e810083 100644 --- a/g4f/Provider/Koala.py +++ b/g4f/Provider/Koala.py @@ -4,16 +4,17 @@ import json from typing import AsyncGenerator, Optional, List, Dict, Union, Any from aiohttp import ClientSession, BaseConnector, ClientResponse -from ..typing import Messages -from .base_provider import AsyncGeneratorProvider +from ..typing import AsyncResult, Messages +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from .helper import get_random_string, get_connector from ..requests import raise_for_status -class Koala(AsyncGeneratorProvider): +class Koala(AsyncGeneratorProvider, ProviderModelMixin): url = "https://koala.sh" working = True - supports_gpt_35_turbo = True supports_message_history = True + supports_gpt_4 = True + default_model = 'gpt-4o-mini' @classmethod async def create_async_generator( diff --git a/g4f/Provider/Liaobots.py b/g4f/Provider/Liaobots.py index 2034c34a..8a9f46b1 100644 --- a/g4f/Provider/Liaobots.py +++ b/g4f/Provider/Liaobots.py @@ -1,7 +1,6 @@ from __future__ import annotations import uuid -import requests from aiohttp import ClientSession, BaseConnector from ..typing import AsyncResult, Messages @@ -9,22 +8,170 @@ from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from .helper import get_connector from ..requests import raise_for_status +models = { + "gpt-4o-mini-free": { + "id": "gpt-4o-mini-free", + "name": "GPT-4o-Mini-Free", + "model": "ChatGPT", + "provider": "OpenAI", + "maxLength": 31200, + "tokenLimit": 7800, + "context": "8K", + }, + "gpt-4o-mini": { + "id": "gpt-4o-mini", + "name": "GPT-4o-Mini", + "model": "ChatGPT", + "provider": "OpenAI", + "maxLength": 260000, + "tokenLimit": 126000, + "context": "128K", + }, + "gpt-4o-free": { + "id": "gpt-4o-free", + "name": "GPT-4o-free", + "model": "ChatGPT", + "provider": "OpenAI", + "maxLength": 31200, + "tokenLimit": 7800, + "context": "8K", + }, + "gpt-4-turbo-2024-04-09": { + "id": "gpt-4-turbo-2024-04-09", + "name": "GPT-4-Turbo", + "model": "ChatGPT", + "provider": "OpenAI", + "maxLength": 260000, + "tokenLimit": 126000, + "context": "128K", + }, + "gpt-4o-2024-08-06": { + "id": "gpt-4o-2024-08-06", + "name": "GPT-4o", + "model": "ChatGPT", + "provider": "OpenAI", + "maxLength": 260000, + "tokenLimit": 126000, + "context": "128K", + }, + "gpt-4-0613": { + "id": "gpt-4-0613", + "name": "GPT-4-0613", + "model": "ChatGPT", + "provider": "OpenAI", + "maxLength": 32000, + "tokenLimit": 7600, + "context": "8K", + }, + "claude-3-opus-20240229": { + "id": "claude-3-opus-20240229", + "name": "Claude-3-Opus", + "model": "Claude", + "provider": "Anthropic", + "maxLength": 800000, + "tokenLimit": 200000, + "context": "200K", + }, + "claude-3-opus-20240229-aws": { + "id": "claude-3-opus-20240229-aws", + "name": "Claude-3-Opus-Aws", + "model": "Claude", + "provider": "Anthropic", + "maxLength": 800000, + "tokenLimit": 200000, + "context": "200K", + }, + "claude-3-opus-20240229-gcp": { + "id": "claude-3-opus-20240229-gcp", + "name": "Claude-3-Opus-Gcp", + "model": "Claude", + "provider": "Anthropic", + "maxLength": 800000, + "tokenLimit": 200000, + "context": "200K", + }, + "claude-3-sonnet-20240229": { + "id": "claude-3-sonnet-20240229", + "name": "Claude-3-Sonnet", + "model": "Claude", + "provider": "Anthropic", + "maxLength": 800000, + "tokenLimit": 200000, + "context": "200K", + }, + "claude-3-5-sonnet-20240620": { + "id": "claude-3-5-sonnet-20240620", + "name": "Claude-3.5-Sonnet", + "model": "Claude", + "provider": "Anthropic", + "maxLength": 800000, + "tokenLimit": 200000, + "context": "200K", + }, + "claude-3-haiku-20240307": { + "id": "claude-3-haiku-20240307", + "name": "Claude-3-Haiku", + "model": "Claude", + "provider": "Anthropic", + "maxLength": 800000, + "tokenLimit": 200000, + "context": "200K", + }, + "claude-2.1": { + "id": "claude-2.1", + "name": "Claude-2.1-200k", + "model": "Claude", + "provider": "Anthropic", + "maxLength": 800000, + "tokenLimit": 200000, + "context": "200K", + }, + "gemini-1.0-pro-latest": { + "id": "gemini-1.0-pro-latest", + "name": "Gemini-Pro", + "model": "Gemini", + "provider": "Google", + "maxLength": 120000, + "tokenLimit": 30000, + "context": "32K", + }, + "gemini-1.5-flash-latest": { + "id": "gemini-1.5-flash-latest", + "name": "Gemini-1.5-Flash-1M", + "model": "Gemini", + "provider": "Google", + "maxLength": 4000000, + "tokenLimit": 1000000, + "context": "1024K", + }, + "gemini-1.5-pro-latest": { + "id": "gemini-1.5-pro-latest", + "name": "Gemini-1.5-Pro-1M", + "model": "Gemini", + "provider": "Google", + "maxLength": 4000000, + "tokenLimit": 1000000, + "context": "1024K", + }, +} + + class Liaobots(AsyncGeneratorProvider, ProviderModelMixin): url = "https://liaobots.site" working = True supports_message_history = True supports_system_message = True - supports_gpt_35_turbo = True supports_gpt_4 = True default_model = "gpt-4o" - models = None + models = list(models.keys()) + model_aliases = { "gpt-4o-mini": "gpt-4o-mini-free", "gpt-4o": "gpt-4o-free", "gpt-4-turbo": "gpt-4-turbo-2024-04-09", "gpt-4o": "gpt-4o-2024-08-06", "gpt-4": "gpt-4-0613", - + "claude-3-opus": "claude-3-opus-20240229", "claude-3-opus": "claude-3-opus-20240229-aws", "claude-3-opus": "claude-3-opus-20240229-gcp", @@ -32,50 +179,32 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin): "claude-3-5-sonnet": "claude-3-5-sonnet-20240620", "claude-3-haiku": "claude-3-haiku-20240307", "claude-2.1": "claude-2.1", - + "gemini-pro": "gemini-1.0-pro-latest", "gemini-flash": "gemini-1.5-flash-latest", "gemini-pro": "gemini-1.5-pro-latest", } + _auth_code = "" _cookie_jar = None @classmethod - def get_models(cls): - if cls.models is None: - url = 'https://liaobots.work/api/models' - headers = { - 'accept': '/', - 'accept-language': 'en-US,en;q=0.9', - 'content-type': 'application/json', - 'cookie': 'gkp2=ehnhUPJtkCgMmod8Sbxn', - 'origin': 'https://liaobots.work', - 'priority': 'u=1, i', - 'referer': 'https://liaobots.work/', - '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-origin', - 'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36' - } - data = {'key': ''} + def get_model(cls, model: str) -> str: + """ + Retrieve the internal model identifier based on the provided model name or alias. + """ + if model in cls.model_aliases: + model = cls.model_aliases[model] + if model not in models: + raise ValueError(f"Model '{model}' is not supported.") + return model - response = requests.post(url, headers=headers, json=data) - - if response.status_code == 200: - try: - models_data = response.json() - cls.models = {model['id']: model for model in models_data} - except (ValueError, KeyError) as e: - print(f"Error processing JSON response: {e}") - cls.models = {} - else: - print(f"Request failed with status code: {response.status_code}") - cls.models = {} - - return cls.models + @classmethod + def is_supported(cls, model: str) -> bool: + """ + Check if the given model is supported. + """ + return model in models or model in cls.model_aliases @classmethod async def create_async_generator( @@ -87,6 +216,8 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin): connector: BaseConnector = None, **kwargs ) -> AsyncResult: + model = cls.get_model(model) + headers = { "authority": "liaobots.com", "content-type": "application/json", @@ -99,10 +230,9 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin): cookie_jar=cls._cookie_jar, connector=get_connector(connector, proxy, True) ) as session: - models = cls.get_models() data = { "conversationId": str(uuid.uuid4()), - "model": models[cls.get_model(model)], + "model": models[model], "messages": messages, "key": "", "prompt": kwargs.get("system_message", "You are a helpful assistant."), @@ -115,21 +245,39 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin): ) as response: await raise_for_status(response) try: - await cls.ensure_auth_code(session) async with session.post( - "https://liaobots.work/api/chat", - json=data, - headers={"x-auth-code": cls._auth_code}, + "https://liaobots.work/api/user", + json={"authcode": cls._auth_code}, verify_ssl=False ) as response: await raise_for_status(response) - async for chunk in response.content.iter_any(): - if b" str: - """ - Retrieve the internal model identifier based on the provided model name or alias. - """ - if model in cls.model_aliases: - model = cls.model_aliases[model] - models = cls.get_models() - if model not in models: - raise ValueError(f"Model '{model}' is not supported.") - return model - @classmethod - def is_supported(cls, model: str) -> bool: - """ - Check if the given model is supported. - """ - models = cls.get_models() - return model in models or model in cls.model_aliases @classmethod async def initialize_auth_code(cls, session: ClientSession) -> None: @@ -176,6 +306,7 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin): if not cls._auth_code: raise RuntimeError("Empty auth code") cls._cookie_jar = session.cookie_jar + @classmethod async def ensure_auth_code(cls, session: ClientSession) -> None: """ @@ -183,18 +314,3 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin): """ if not cls._auth_code: await cls.initialize_auth_code(session) - - @classmethod - async def refresh_auth_code(cls, session: ClientSession) -> None: - """ - Refresh the auth code by making a new request. - """ - await cls.initialize_auth_code(session) - - @classmethod - async def get_auth_code(cls, session: ClientSession) -> str: - """ - Get the current auth code, initializing it if necessary. - """ - await cls.ensure_auth_code(session) - return cls._auth_code \ No newline at end of file diff --git a/g4f/Provider/LiteIcoding.py b/g4f/Provider/LiteIcoding.py index ad04aceb..69294a57 100644 --- a/g4f/Provider/LiteIcoding.py +++ b/g4f/Provider/LiteIcoding.py @@ -1,6 +1,7 @@ from __future__ import annotations from aiohttp import ClientSession, ClientResponseError +import re from ..typing import AsyncResult, Messages from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from .helper import format_prompt @@ -31,7 +32,7 @@ class LiteIcoding(AsyncGeneratorProvider, ProviderModelMixin): headers = { "Accept": "*/*", "Accept-Language": "en-US,en;q=0.9", - "Authorization": "Bearer b3b2712cf83640a5acfdc01e78369930", + "Authorization": "Bearer aa3020ee873e40cb8b3f515a0708ebc4", "Connection": "keep-alive", "Content-Type": "application/json;charset=utf-8", "DNT": "1", @@ -97,7 +98,11 @@ class LiteIcoding(AsyncGeneratorProvider, ProviderModelMixin): .replace('\\"', '"') .strip() ) - yield full_response.strip() + # Add filter to remove unwanted text + filtered_response = re.sub(r'\n---\n.*', '', full_response, flags=re.DOTALL) + # Remove extra quotes at the beginning and end + cleaned_response = filtered_response.strip().strip('"') + yield cleaned_response except ClientResponseError as e: raise RuntimeError( diff --git a/g4f/Provider/Pizzagpt.py b/g4f/Provider/Pizzagpt.py index 860aef80..47cb135c 100644 --- a/g4f/Provider/Pizzagpt.py +++ b/g4f/Provider/Pizzagpt.py @@ -47,4 +47,4 @@ class Pizzagpt(AsyncGeneratorProvider, ProviderModelMixin): response.raise_for_status() response_json = await response.json() content = response_json.get("answer", {}).get("content", "") - yield content \ No newline at end of file + yield content diff --git a/g4f/Provider/Upstage.py b/g4f/Provider/Upstage.py new file mode 100644 index 00000000..e61a5af2 --- /dev/null +++ b/g4f/Provider/Upstage.py @@ -0,0 +1,74 @@ +from __future__ import annotations + +from aiohttp import ClientSession +import json + +from ..typing import AsyncResult, Messages +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin +from .helper import format_prompt + + +class Upstage(AsyncGeneratorProvider, ProviderModelMixin): + url = "https://console.upstage.ai/playground/chat" + api_endpoint = "https://ap-northeast-2.apistage.ai/v1/web/demo/chat/completions" + working = True + default_model = 'upstage/solar-1-mini-chat' + models = [ + 'upstage/solar-1-mini-chat', + 'upstage/solar-1-mini-chat-ja', + ] + model_aliases = { + "solar-1-mini": "upstage/solar-1-mini-chat", + "solar-1-mini": "upstage/solar-1-mini-chat-ja", + } + + @classmethod + def get_model(cls, model: str) -> str: + if model in cls.models: + return model + elif model in cls.model_aliases: + return cls.model_aliases[model] + else: + return cls.default_model + + @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://console.upstage.ai", + "priority": "u=1, i", + "referer": "https://console.upstage.ai/", + "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": "cross-site", + "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36" + } + async with ClientSession(headers=headers) as session: + data = { + "stream": True, + "messages": [{"role": "user", "content": format_prompt(messages)}], + "model": model + } + async with session.post(f"{cls.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: ") and line != "data: [DONE]": + data = json.loads(line[6:]) + content = data['choices'][0]['delta'].get('content', '') + if content: + yield content diff --git a/g4f/Provider/You.py b/g4f/Provider/You.py index b85854b3..af8aab0e 100644 --- a/g4f/Provider/You.py +++ b/g4f/Provider/You.py @@ -24,7 +24,6 @@ class You(AsyncGeneratorProvider, ProviderModelMixin): image_models = ["dall-e"] models = [ default_model, - "gpt-4o-mini", "gpt-4o", "gpt-4-turbo", "gpt-4", diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py index 34b4ef2d..dc8acfbe 100644 --- a/g4f/Provider/__init__.py +++ b/g4f/Provider/__init__.py @@ -6,7 +6,6 @@ from ..providers.base_provider import AsyncProvider, AsyncGeneratorProvider from ..providers.create_images import CreateImagesProvider from .deprecated import * -from .not_working import * from .selenium import * from .needs_auth import * @@ -21,16 +20,15 @@ from .ChatGot import ChatGot from .Chatgpt4o import Chatgpt4o from .Chatgpt4Online import Chatgpt4Online from .ChatgptFree import ChatgptFree -from .Cohere import Cohere from .DDG import DDG from .DeepInfra import DeepInfra from .DeepInfraImage import DeepInfraImage from .FlowGpt import FlowGpt +from .FluxAirforce import FluxAirforce from .FreeChatgpt import FreeChatgpt from .FreeGpt import FreeGpt from .FreeNetfly import FreeNetfly from .GeminiPro import GeminiPro -from .GeminiProChat import GeminiProChat from .GigaChat import GigaChat from .GptTalkRu import GptTalkRu from .HuggingChat import HuggingChat @@ -43,18 +41,17 @@ from .Llama import Llama from .Local import Local from .MagickPenAsk import MagickPenAsk from .MagickPenChat import MagickPenChat -from .Marsyoo import Marsyoo from .MetaAI import MetaAI from .MetaAIAccount import MetaAIAccount from .Ollama import Ollama from .PerplexityLabs import PerplexityLabs from .Pi import Pi from .Pizzagpt import Pizzagpt +from .Upstage import Upstage from .Reka import Reka from .Replicate import Replicate from .ReplicateHome import ReplicateHome from .Rocks import Rocks -from .TeachAnything import TeachAnything from .Vercel import Vercel from .WhiteRabbitNeo import WhiteRabbitNeo from .You import You diff --git a/g4f/models.py b/g4f/models.py index b6c5fd14..e70ef6d4 100644 --- a/g4f/models.py +++ b/g4f/models.py @@ -4,7 +4,6 @@ from dataclasses import dataclass from .Provider import IterListProvider, ProviderType from .Provider import ( - AI365VIP, Allyfy, Bing, Blackbox, @@ -15,21 +14,19 @@ from .Provider import ( DDG, DeepInfra, DeepInfraImage, + FluxAirforce, FreeChatgpt, FreeGpt, FreeNetfly, Gemini, GeminiPro, - GeminiProChat, GigaChat, HuggingChat, HuggingFace, Koala, Liaobots, - LiteIcoding, MagickPenAsk, MagickPenChat, - Marsyoo, MetaAI, OpenaiChat, PerplexityLabs, @@ -38,7 +35,7 @@ from .Provider import ( Reka, Replicate, ReplicateHome, - TeachAnything, + Upstage, You, ) @@ -66,33 +63,19 @@ default = Model( name = "", base_provider = "", best_provider = IterListProvider([ - Bing, - You, - OpenaiChat, - FreeChatgpt, - AI365VIP, - Chatgpt4o, + ChatGot, + Chatgpt4Online, 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, - Koala, - ChatgptFree, FreeChatgpt, - DDG, - AI365VIP, + FreeNetfly, + Gemini, + HuggingChat, + MagickPenAsk, + MagickPenChat, Pizzagpt, - Allyfy, + ChatgptFree, + ReplicateHome, + Upstage, ]) ) @@ -107,38 +90,16 @@ gpt_35_turbo = Model( name = 'gpt-3.5-turbo', base_provider = 'openai', best_provider = IterListProvider([ - FreeGpt, - You, - Koala, - ChatgptFree, - FreeChatgpt, - AI365VIP, - Pizzagpt, Allyfy, ]) ) # gpt-4 -gpt_4 = Model( - name = 'gpt-4', - base_provider = 'openai', - best_provider = IterListProvider([ - Bing, Chatgpt4Online - ]) -) - -gpt_4_turbo = Model( - name = 'gpt-4-turbo', - base_provider = 'openai', - best_provider = IterListProvider([ - Bing, Liaobots, LiteIcoding - ]) -) gpt_4o = Model( name = 'gpt-4o', base_provider = 'openai', best_provider = IterListProvider([ - You, Liaobots, Chatgpt4o, AI365VIP, OpenaiChat, Marsyoo, LiteIcoding, MagickPenAsk, + Liaobots, Chatgpt4o, OpenaiChat, ]) ) @@ -146,10 +107,26 @@ gpt_4o_mini = Model( name = 'gpt-4o-mini', base_provider = 'openai', best_provider = IterListProvider([ - DDG, Liaobots, OpenaiChat, You, FreeNetfly, MagickPenChat, + DDG, Liaobots, You, FreeNetfly, MagickPenAsk, MagickPenChat, Pizzagpt, ChatgptFree, OpenaiChat, Koala, ]) ) +gpt_4_turbo = Model( + name = 'gpt-4-turbo', + base_provider = 'openai', + best_provider = IterListProvider([ + Liaobots, Bing + ]) +) + +gpt_4 = Model( + name = 'gpt-4', + base_provider = 'openai', + best_provider = IterListProvider([ + Chatgpt4Online, Bing, + gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider + ]) +) ### GigaChat ### gigachat = Model( @@ -161,81 +138,65 @@ gigachat = Model( ### Meta ### meta = Model( - name = "meta", + name = "meta-ai", base_provider = "meta", best_provider = MetaAI ) -llama_3_8b_instruct = Model( - name = "meta-llama/Meta-Llama-3-8B-Instruct", +llama_3_8b = Model( + name = "llama-3-8b", base_provider = "meta", - best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate]) + best_provider = IterListProvider([DeepInfra, Replicate]) ) -llama_3_70b_instruct = Model( - name = "meta-llama/Meta-Llama-3-70B-Instruct", +llama_3_70b = Model( + name = "llama-3-70b", base_provider = "meta", - best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate]) + best_provider = IterListProvider([ReplicateHome, DeepInfra, PerplexityLabs, Replicate]) ) -llama_3_70b_instruct = Model( - name = "meta/meta-llama-3-70b-instruct", +llama_3_1_8b = Model( + name = "llama-3.1-8b", base_provider = "meta", - best_provider = IterListProvider([ReplicateHome, TeachAnything]) + best_provider = IterListProvider([Blackbox]) ) -llama_3_70b_chat_hf = Model( - name = "meta-llama/Llama-3-70b-chat-hf", +llama_3_1_70b = Model( + name = "llama-3.1-70b", base_provider = "meta", - best_provider = IterListProvider([DDG]) + best_provider = IterListProvider([DDG, HuggingChat, FreeGpt, Blackbox, HuggingFace]) ) -llama_3_1_70b_instruct = Model( - name = "meta-llama/Meta-Llama-3.1-70B-Instruct", +llama_3_1_405b = Model( + name = "llama-3.1-405b", base_provider = "meta", - best_provider = IterListProvider([HuggingChat, HuggingFace]) + best_provider = IterListProvider([HuggingChat, Blackbox, HuggingFace]) ) -llama_3_1_405b_instruct_FP8 = Model( - name = "meta-llama/Meta-Llama-3.1-405B-Instruct-FP8", - base_provider = "meta", - best_provider = IterListProvider([HuggingChat, HuggingFace]) -) - - ### Mistral ### mixtral_8x7b = Model( - name = "mistralai/Mixtral-8x7B-Instruct-v0.1", + name = "mixtral-8x7b", base_provider = "huggingface", - best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs, HuggingChat, DDG, ReplicateHome]) + best_provider = IterListProvider([HuggingChat, DDG, ReplicateHome, DeepInfra, HuggingFace,]) ) -mistral_7b_v02 = Model( - name = "mistralai/Mistral-7B-Instruct-v0.2", +mistral_7b = Model( + name = "mistral-7b", base_provider = "huggingface", - best_provider = IterListProvider([DeepInfra, HuggingFace, HuggingChat]) + best_provider = IterListProvider([HuggingChat, HuggingFace, DeepInfra]) ) - -### NousResearch ### -Nous_Hermes_2_Mixtral_8x7B_DPO = Model( - name = "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO", - base_provider = "NousResearch", - best_provider = IterListProvider([HuggingFace, HuggingChat]) -) - - ### 01-ai ### -Yi_1_5_34B_chat = Model( - name = "01-ai/Yi-1.5-34B-Chat", +yi_1_5_34b = Model( + name = "yi-1.5-34b", base_provider = "01-ai", - best_provider = IterListProvider([HuggingFace, HuggingChat]) + best_provider = IterListProvider([HuggingChat, HuggingFace]) ) ### 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]) ) @@ -252,41 +213,22 @@ gemini = Model( gemini_pro = Model( name = 'gemini-pro', base_provider = 'Google', - best_provider = IterListProvider([GeminiPro, You, ChatGot, GeminiProChat, Liaobots, LiteIcoding]) + best_provider = IterListProvider([GeminiPro, ChatGot, Liaobots]) ) gemini_flash = Model( name = 'gemini-flash', base_provider = 'Google', - best_provider = IterListProvider([Liaobots]) -) - -gemini_1_5 = Model( - name = 'gemini-1.5', - base_provider = 'Google', - best_provider = IterListProvider([LiteIcoding]) + best_provider = IterListProvider([Liaobots, Blackbox]) ) # gemma -gemma_2b_it = Model( - name = 'gemma-2b-it', +gemma_2b = Model( + name = 'gemma-2b', base_provider = 'Google', best_provider = IterListProvider([ReplicateHome]) ) -gemma_2_9b_it = Model( - name = 'gemma-2-9b-it', - base_provider = 'Google', - best_provider = IterListProvider([PerplexityLabs]) -) - -gemma_2_27b_it = Model( - name = 'gemma-2-27b-it', - base_provider = 'Google', - best_provider = IterListProvider([PerplexityLabs]) -) - - ### Anthropic ### claude_2 = Model( name = 'claude-2', @@ -309,13 +251,13 @@ claude_2_1 = Model( claude_3_opus = Model( name = 'claude-3-opus', base_provider = 'Anthropic', - best_provider = IterListProvider([You, Liaobots]) + best_provider = IterListProvider([Liaobots]) ) claude_3_sonnet = Model( name = 'claude-3-sonnet', base_provider = 'Anthropic', - best_provider = IterListProvider([You, Liaobots]) + best_provider = IterListProvider([Liaobots]) ) claude_3_5_sonnet = Model( @@ -327,19 +269,7 @@ claude_3_5_sonnet = Model( claude_3_haiku = Model( name = 'claude-3-haiku', base_provider = 'Anthropic', - best_provider = IterListProvider([DDG, AI365VIP, Liaobots]) -) - -claude_3 = Model( - name = 'claude-3', - base_provider = 'Anthropic', - best_provider = IterListProvider([LiteIcoding]) -) - -claude_3_5 = Model( - name = 'claude-3.5', - base_provider = 'Anthropic', - best_provider = IterListProvider([LiteIcoding]) + best_provider = IterListProvider([DDG, Liaobots]) ) @@ -351,14 +281,6 @@ 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', @@ -369,7 +291,7 @@ blackbox = Model( ### Databricks ### dbrx_instruct = Model( - name = 'databricks/dbrx-instruct', + name = 'dbrx-instruct', base_provider = 'Databricks', best_provider = IterListProvider([DeepInfra]) ) @@ -377,65 +299,57 @@ dbrx_instruct = Model( ### CohereForAI ### command_r_plus = Model( - name = 'CohereForAI/c4ai-command-r-plus', + name = 'command-r-plus', base_provider = 'CohereForAI', best_provider = IterListProvider([HuggingChat]) ) ### iFlytek ### -SparkDesk_v1_1 = Model( - name = 'SparkDesk-v1.1', +sparkdesk_v1_1 = Model( + name = 'sparkdesk-v1.1', base_provider = 'iFlytek', best_provider = IterListProvider([FreeChatgpt]) ) - -### DeepSeek ### -deepseek_coder = Model( - name = 'deepseek-coder', - base_provider = 'DeepSeek', - best_provider = IterListProvider([FreeChatgpt]) -) - -deepseek_chat = Model( - name = 'deepseek-chat', - base_provider = 'DeepSeek', - best_provider = IterListProvider([FreeChatgpt]) -) - - ### Qwen ### -Qwen2_7B_instruct = Model( - name = 'Qwen2-7B-Instruct', +qwen_1_5_14b = Model( + name = 'qwen-1.5-14b', base_provider = 'Qwen', best_provider = IterListProvider([FreeChatgpt]) ) ### Zhipu AI ### -glm4_9B_chat = Model( - name = 'glm4-9B-chat', +glm4_9b = Model( + name = 'glm4-9B', base_provider = 'Zhipu AI', best_provider = IterListProvider([FreeChatgpt]) ) -chatglm3_6B = Model( - name = 'chatglm3-6B', +chatglm3_6b = Model( + name = 'chatglm3-6b', base_provider = 'Zhipu AI', best_provider = IterListProvider([FreeChatgpt]) ) ### 01-ai ### -Yi_1_5_9B_chat = Model( - name = 'Yi-1.5-9B-Chat', +yi_1_5_9b = Model( + name = 'yi-1.5-9b', base_provider = '01-ai', best_provider = IterListProvider([FreeChatgpt]) ) -### Other ### +### Pi ### +solar_1_mini = Model( + name = 'solar-1-mini', + base_provider = 'Upstage', + best_provider = IterListProvider([Upstage]) +) + +### Pi ### pi = Model( name = 'pi', base_provider = 'inflection', @@ -449,30 +363,60 @@ pi = Model( ### Stability AI ### sdxl = Model( - name = 'stability-ai/sdxl', + name = 'sdxl', base_provider = 'Stability AI', - best_provider = IterListProvider([DeepInfraImage]) + best_provider = IterListProvider([ReplicateHome, DeepInfraImage]) ) -stable_diffusion_3 = Model( - name = 'stability-ai/stable-diffusion-3', +sd_3 = Model( + name = 'sd-3', base_provider = 'Stability AI', best_provider = IterListProvider([ReplicateHome]) ) -sdxl_lightning_4step = Model( - name = 'bytedance/sdxl-lightning-4step', +### Playground ### +playground_v2_5 = Model( + name = 'playground-v2.5', base_provider = 'Stability AI', best_provider = IterListProvider([ReplicateHome]) ) -playground_v2_5_1024px_aesthetic = Model( - name = 'playgroundai/playground-v2.5-1024px-aesthetic', - base_provider = 'Stability AI', - best_provider = IterListProvider([ReplicateHome]) +### Flux AI ### +flux = Model( + name = 'flux', + base_provider = 'Flux AI', + best_provider = IterListProvider([FluxAirforce]) + +) + +flux_realism = Model( + name = 'flux-realism', + base_provider = 'Flux AI', + best_provider = IterListProvider([FluxAirforce]) + +) + +flux_anime = Model( + name = 'flux-anime', + base_provider = 'Flux AI', + best_provider = IterListProvider([FluxAirforce]) + +) + +flux_3d = Model( + name = 'flux-3d', + base_provider = 'Flux AI', + best_provider = IterListProvider([FluxAirforce]) + +) + +flux_disney = Model( + name = 'flux-disney', + base_provider = 'Flux AI', + best_provider = IterListProvider([FluxAirforce]) ) @@ -485,126 +429,133 @@ class ModelUtils: """ convert: dict[str, Model] = { - ############ - ### Text ### - ############ +############ +### Text ### +############ - ### OpenAI ### - ### GPT-3.5 / GPT-4 ### - # gpt-3.5 - 'gpt-3.5-turbo': gpt_35_turbo, - 'gpt-3.5-long': gpt_35_long, +### OpenAI ### +# 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, +# 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-3-8b-instruct': llama_3_8b_instruct, - 'llama-3-70b-instruct': llama_3_70b_instruct, - 'llama-3-70b-chat': llama_3_70b_chat_hf, - 'llama-3-70b-instruct': llama_3_70b_instruct, - - 'llama-3.1-70b': llama_3_1_70b_instruct, - 'llama-3.1-405b': llama_3_1_405b_instruct_FP8, - 'llama-3.1-70b-instruct': llama_3_1_70b_instruct, - 'llama-3.1-405b-instruct': llama_3_1_405b_instruct_FP8, - - ### Mistral (Opensource) ### - 'mixtral-8x7b': mixtral_8x7b, - 'mistral-7b-v02': mistral_7b_v02, - - ### NousResearch ### - 'Nous-Hermes-2-Mixtral-8x7B-DPO': Nous_Hermes_2_Mixtral_8x7B_DPO, +### Meta ### +"meta-ai": meta, - ### 01-ai ### - 'Yi-1.5-34b-chat': Yi_1_5_34B_chat, +# llama-3 +'llama-3-8b': llama_3_8b, +'llama-3-70b': llama_3_70b, - ### Microsoft ### - 'Phi-3-mini-4k-instruct': Phi_3_mini_4k_instruct, +# 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, + + +### Mistral ### +'mixtral-8x7b': mixtral_8x7b, +'mistral-7b': mistral_7b, - ### Google ### - # gemini - 'gemini': gemini, - 'gemini-pro': gemini_pro, - 'gemini-pro': gemini_1_5, - 'gemini-flash': gemini_flash, - - # gemma - 'gemma-2b': gemma_2b_it, - 'gemma-2-9b': gemma_2_9b_it, - 'gemma-2-27b': gemma_2_27b_it, - ### 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-3-5-sonnet': claude_3_5_sonnet, - 'claude-3-haiku': claude_3_haiku, - - 'claude-3-opus': claude_3, - 'claude-3-5-sonnet': claude_3_5, +### 01-ai ### +'yi-1.5-34b': yi_1_5_34b, +### Microsoft ### +'phi-3-mini-4k': phi_3_mini_4k, - ### Reka AI ### - 'reka': reka_core, - ### NVIDIA ### - 'nemotron-4-340b-instruct': nemotron_4_340b_instruct, +### Google ### +# gemini +'gemini': gemini, +'gemini-pro': gemini_pro, +'gemini-flash': gemini_flash, - ### Blackbox ### - 'blackbox': blackbox, - - ### CohereForAI ### - 'command-r+': command_r_plus, - - ### Databricks ### - 'dbrx-instruct': dbrx_instruct, +# gemma +'gemma-2b': gemma_2b, - ### GigaChat ### - 'gigachat': gigachat, + +### Anthropic ### +'claude-2': claude_2, +'claude-2.0': claude_2_0, +'claude-2.1': claude_2_1, - ### iFlytek ### - 'SparkDesk-v1.1': SparkDesk_v1_1, +'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, - ### DeepSeek ### - 'deepseek-coder': deepseek_coder, - 'deepseek-chat': deepseek_chat, - ### Qwen ### - 'Qwen2-7b-instruct': Qwen2_7B_instruct, +### Reka AI ### +'reka-core': reka_core, + - ### Zhipu AI ### - 'glm4-9b-chat': glm4_9B_chat, - 'chatglm3-6b': chatglm3_6B, +### Blackbox ### +'blackbox': blackbox, - ### 01-ai ### - 'Yi-1.5-9b-chat': Yi_1_5_9B_chat, - # Other - 'pi': pi, +### CohereForAI ### +'command-r+': command_r_plus, - ############# - ### Image ### - ############# - ### Stability AI ### - 'sdxl': sdxl, - 'stable-diffusion-3': stable_diffusion_3, +### Databricks ### +'dbrx-instruct': dbrx_instruct, + + +### GigaChat ### +'gigachat': gigachat, - ### ByteDance ### - 'sdxl-lightning': sdxl_lightning_4step, - ### Playground ### - 'playground-v2.5': playground_v2_5_1024px_aesthetic, +### iFlytek ### +'sparkdesk-v1.1': sparkdesk_v1_1, + + +### Qwen ### +'qwen-1.5-14b': qwen_1_5_14b, + + +### Zhipu AI ### +'glm4-9b': glm4_9b, +'chatglm3-6b': chatglm3_6b, + + +### 01-ai ### +'yi-1.5-9b': yi_1_5_9b, + + +### Upstage ### +'solar-1-mini': solar_1_mini, + + +### Pi ### +'pi': pi, + + + +############# +### Image ### +############# + +### Stability AI ### +'sdxl': sdxl, +'sd-3': sd_3, + + +### 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, }