Reference implementation of Mistral AI 7B v0.1 model.
-
Updated
Dec 25, 2023 - Python
Reference implementation of Mistral AI 7B v0.1 model.
Local retrieval-augmented-generation with Mixtral, Ollama, Chainlit, and Embedchain 🌺🤖
🦙 Free and Open Source Large Language Model (LLM) chatbot web UI and API. Self-hosted, offline capable and easy to setup. Powered by LangChain.
A Python module for running the Mixtral-8x7B language model with customisable precision and attention mechanisms.
LLMs prompt augmentation with RAG by integrating external custom data from a variety of sources, allowing chat with such documents
Collection of templates for the pragmatics engine to test and evaluate the capabilities of large language models.
Deploy a RESTful API Server to interact with Ollama and Stable Diffusion
CustomGPT is a cutting-edge, multilingual chatbot that streamlines text extraction and analysis from PDFs. Using advanced NLP and ML models, it facilitates dynamic conversations across various languages, enhancing productivity and engagement in data-rich environments.
Build LLM-powered robots in your garage with MachinaScript For Robots!
中文Mixtral混合专家大模型(Chinese Mixtral MoE LLMs)
ConserGPT es un chat bot que responde a preguntas sobre la legislación Andaluza de educación
🐳 Aurora is a [Chinese Version] MoE model. Aurora is a further work based on Mixtral-8x7B, which activates the chat capability of the model's Chinese open domain.
XMPP Bot designed for privacy AI language model interactions
A versatile CLI and Python wrapper for Perplexity's suite of large language models including their flagship Chat and Online 'Sonar Llama-3' models along with `LLama-3 and 'Mixtral'. Streamline the creation of chatbots, and search the web with AI (in real-time) with ease.
combating the llm fomo, feeding the shiny object syndrome, for folly and partially for curiousity
Add a description, image, and links to the mixtral topic page so that developers can more easily learn about it.
To associate your repository with the mixtral topic, visit your repo's landing page and select "manage topics."