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#

mixtral-8x7b

Here are 88 public repositories matching this topic...

TeleChat: 🤖️ an AI chat Telegram bot can Web Search Powered by GPT-3.5/4/4 Turbo/4o, DALL·E 3, Groq, Gemini 1.5 Pro/Flash and the official Claude2.1/3/3.5 API using Python on Zeabur, fly.io and Replit.

  • UpdatedMar 18, 2025
  • Python

中文Mixtral-8x7B(Chinese-Mixtral-8x7B)

  • UpdatedAug 17, 2024
  • Python

Like grep but for natural language questions. Based on Mistral 7B or Mixtral 8x7B.

  • UpdatedMar 13, 2024
  • Rust

The official codes for "Aurora: Activating chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning"

  • UpdatedMay 9, 2024
  • Python

[ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration

  • UpdatedNov 18, 2024
  • Python
machinascript-for-robots

Build LLM-powered robots in your garage with MachinaScript For Robots!

  • UpdatedSep 28, 2024
  • Python

Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

  • UpdatedFeb 25, 2024
  • Jupyter Notebook

Train llm (bloom, llama, baichuan2-7b, chatglm3-6b) with deepspeed pipeline mode. Faster than zero/zero++/fsdp.

  • UpdatedFeb 5, 2024
  • Python

A Free OpenAI-compatible API designed to interact with models like GPT-4o, Claude 3 Haiku, Mixtral 8x7b & Llama 3 70b through DuckDuckGo's AI Chat.

  • UpdatedFeb 23, 2025
  • Python

An innovative Python project that integrates AI-driven agents for Agile software development, leveraging advanced language models and collaborative task automation.

  • UpdatedNov 10, 2024
  • Python

An unofficial C#/.NET SDK for accessing the Mistral AI API

  • UpdatedFeb 21, 2025
  • C#

Examples of RAG using LangChain with local LLMs - Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

  • UpdatedJan 20, 2024
  • Jupyter Notebook

A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.

  • UpdatedMar 2, 2025
  • Java

Reference implementation of Mistral AI 7B v0.1 model.

  • UpdatedDec 25, 2023
  • Python

📤 Email Classification and Automatic Re-routing with the power of LLMs and Distributed Task Queues. 🏆 Winner at Barclays Hack-O-Hire 2024!

  • UpdatedFeb 14, 2025
  • Python

A versatile CLI and Python wrapper for Groq AI's breakthrough LPU Inference Engine. Streamline the creation of chatbots and generate dynamic text with speeds of up to 800 tokens/sec.

  • UpdatedSep 12, 2024
  • Python

The MistralAI API wrapper for Delphi utilizes the various advanced models developed by Mistral to provide robust capabilities for chat interactions, string embeddings, precise code generation with Codestral, batch and moderation.

  • UpdatedJan 6, 2025
  • Pascal

LLMs prompt augmentation with RAG by integrating external custom data from a variety of sources, allowing chat with such documents

  • UpdatedJul 22, 2024
  • Python

Notes on the Mistral AI model

  • UpdatedDec 27, 2023
  • Jupyter Notebook

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