Mistral 7B via llm-llama-cpp or llm-gpt4all or llm-mlc Using the Mistral API, which includes the new Mistral-medium Mistral via other API providers Using Llamafile’s OpenAI API endpoint Mixtral 8x7B 通过llama.cpp和llm-llama-cpp来运行 12月8日星期五,Mistral AI在推特上发布了一个神秘的磁力...
Codestral 是一种开放权重生成式 AI 模型,专为代码生成任务而设计——“开放权重”意味着该模型的学习参数可免费用于研究和非商业用途,从而实现更大的可访问性和定制性。 Codestral 为开发人员提供了一种通过共享指令和完成 API 端点编写代码并与之交互的灵活方式。这意味着我们可以向 Codestral 提供自然语言或代码...
pip install azure-ai-inference 深入了解 [Azure AI 推斷套件和參考]。 使用聊天完成 在本節中,您會使用 [Azure AI 模型推斷 API]搭配聊天完成模型來用於聊天。 提示 Azure AI 模型推斷 API可讓您使用相同的程式碼和結構與在 Azure AI Studio 中部署的大多數模型 (包括 Mistral 進階版聊天模型) 進行對話。
apikubernetesaitext-generationdistributedttsimage-generationllamamambalibp2pgemmamistralaudio-generationllmstable-diffusionrwkvgpt4allmusicgenrerankllama3 UpdatedJan 10, 2025 Go unslothai/unsloth Sponsor Star20.2k Code Issues Pull requests Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x ...
Before you begin, you will need a Mistral AI API key. Get your own Mistral API Key:https://docs.mistral.ai/#api-access Set your Mistral API Key as an environment variable. You only need to do this once. #set Mistral API Key (using zsh for example)$echo'export MISTRAL_API_KEY=[you...
到这获取GitHub Model界面提供的免费模型API https://github.com/marketplace/models 主流模型都在这 虽然免费但还是有限制的 获取密钥 你可以在本地测试API是否调用成功 代码语言:javascript 复制 importos from openaiimportOpenAI token=os.environ["GITHUB_TOKEN"]endpoint="https://models.inference.ai.azure.com...
apiKey String API key for accessing the MistralAI service. endpoint Uri Optional uri endpoint including the port where MistralAI server is hosted. Default is https://api.mistral.ai. httpClient HttpClient Optional HTTP client to be used for communication with the MistralAI API. logge...
Developers can also utilize Codestral through Mistral’s main API endpoint at api.mistral.ai. It is suitable for research, batch queries, and third-party applications. Codestral is included in Mistral’s self-deployment offering f...
"You're getting the entire power of the Vertex platform, not just a model behind an API endpoint," Gelman said. The big value proposition that Google puts forward is the idea that by leveraging all their integrated pieces, you can try things very, very quickly, and fail quickly...
import { Mistral } from "@mistralai/mistralai"; const mistral = new Mistral({ apiKey: process.env["MISTRAL_API_KEY"] ?? "", }); async function run() { const result = await mistral.chat.complete({ model: "mistral-small-latest", messages: [ { content: "Who is the best French pa...