#Mixtral
Showing 21 of 21 repositories tagged #mixtral, ranked by stars
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型
AI Chatbots in terminal for free
A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.
A simple, performant, and scalable Jax LLM!
Mac app for Ollama
[EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.
Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.
中文Mixtral混合专家大模型（Chinese Mixtral MoE LLMs）
🏗️ Fine-tune, build, and deploy open-source LLMs easily!
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
Like grep but for natural language questions. Based on Mistral 7B or Mixtral 8x7B.
On-device LLM Inference Powered by X-Bit Quantization
Bypass restricted and censored content on AI chat prompts 😈
Build LLM-powered robots in your garage with MachinaScript For Robots!
lcpp is a dart implementation of llama.cpp used by the mobile artificial intelligence distribution (maid)
PasLLM - LLM inference engine in Object Pascal (synced from my private work repository)
This application uses LLMs like DeepSeek, GPT-5, Claude, Gemini or Llama, Mixtral (locally) in order to generate text based on the user input. The user input is used to retrieve relevant information from the database and then the retrieved information is used to generate the text. This approach combines power of LLMs and access to source documen
A powerful library for interacting with the Herc.ai API.
Examples of RAG using LangChain with local LLMs - Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B