#typescript #electron #gpt #llama2 #llamacpp #localai #self_hosted
Jan is a local AI assistant that runs entirely on your device, giving you full control and privacy. It supports various hardware like NVIDIA GPUs, Apple M-series, and Linux systems. You can download and use popular language models like Llama, Gemma, and Mistral without needing an internet connection. Jan also allows you to customize it with extensions and connect to remote AI APIs. The benefit is that you can use AI without sending your data online, keeping your information private and secure.
https://github.com/janhq/jan
Jan is a local AI assistant that runs entirely on your device, giving you full control and privacy. It supports various hardware like NVIDIA GPUs, Apple M-series, and Linux systems. You can download and use popular language models like Llama, Gemma, and Mistral without needing an internet connection. Jan also allows you to customize it with extensions and connect to remote AI APIs. The benefit is that you can use AI without sending your data online, keeping your information private and secure.
https://github.com/janhq/jan
GitHub
GitHub - janhq/jan: Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. - janhq/jan
#shell #ai #containers #inference_server #llamacpp #llm #podman #vllm
RamaLama is a tool that makes working with AI models easy by using containers. It checks your system for GPU support and uses CPU if no GPU is found. RamaLama uses container engines like Podman or Docker to run AI models, so you don't need to configure your system. You can pull and run AI models from various registries with simple commands, and it supports multiple types of hardware including CPUs and GPUs. This makes it convenient for users as they don't have to set up complex environments, and they can interact with different models easily.
https://github.com/containers/ramalama
RamaLama is a tool that makes working with AI models easy by using containers. It checks your system for GPU support and uses CPU if no GPU is found. RamaLama uses container engines like Podman or Docker to run AI models, so you don't need to configure your system. You can pull and run AI models from various registries with simple commands, and it supports multiple types of hardware including CPUs and GPUs. This makes it convenient for users as they don't have to set up complex environments, and they can interact with different models easily.
https://github.com/containers/ramalama
GitHub
GitHub - containers/ramalama: RamaLama is an open-source developer tool that simplifies the local serving of AI models from any…
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of ...
#python #agents #generative_ai_tools #llamacpp #llm #onnx #openvino #parsing #retrieval_augmented_generation #small_specialized_models
llmware is a powerful, easy-to-use platform that helps you build AI applications using small, specialized language models designed for business tasks like question-answering, summarization, and data extraction. It supports private, secure deployment on your own machines without needing expensive GPUs, making it cost-effective and safe for enterprise use. You can organize and search your documents, run smart queries, and combine knowledge with AI to get accurate answers quickly. It also offers many ready-to-use models and examples, plus tools for building chatbots and agents that automate complex workflows. This helps you save time, improve accuracy, and securely leverage AI for your business needs[1][3][5].
https://github.com/llmware-ai/llmware
llmware is a powerful, easy-to-use platform that helps you build AI applications using small, specialized language models designed for business tasks like question-answering, summarization, and data extraction. It supports private, secure deployment on your own machines without needing expensive GPUs, making it cost-effective and safe for enterprise use. You can organize and search your documents, run smart queries, and combine knowledge with AI to get accurate answers quickly. It also offers many ready-to-use models and examples, plus tools for building chatbots and agents that automate complex workflows. This helps you save time, improve accuracy, and securely leverage AI for your business needs[1][3][5].
https://github.com/llmware-ai/llmware
GitHub
GitHub - llmware-ai/llmware: Unified framework for building enterprise RAG pipelines with small, specialized models
Unified framework for building enterprise RAG pipelines with small, specialized models - llmware-ai/llmware