privateGPT
localGPT
| privateGPT | localGPT | |
|---|---|---|
| 1 | 29 | |
| 50,198 | 19,193 | |
| - | - | |
| - | 8.6 | |
| about 2 months ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
privateGPT
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PrivateGPT exploring the Documentation
# install developer tools xcode-select --install # create python sandbox mkdir PrivateGTP cd privateGTP/ python3 -m venv . # actiavte local context source bin/activate # privateGTP uses poetry for python module management privateGTP> pip install poetry # sync privateGTP project privateGTP> git clone https://github.com/imartinez/privateGPT # enable MPS for model loading and processing privateGTP> CMAKE_ARGS="-DLLAMA_METAL=on" pip install --force-reinstall --no-cache-dir llama-cpp-python privateGTP> cd privateGPT # Import configure python dependencies privateGTP> poetry run python3 scripts/setup # launch web interface to confirm operational on default model privateGTP> python3 -m private_gpt # navigate safari browser to http://localhost:8001/ # To bulk import documentation needed to stop the web interface as vector database not in multi-user mode privateGTP> [control] + "C" # import some PDFs privateGTP> curl "https://docs.intersystems.com/irislatest/csp/docbook/pdfs.zip" -o /tmp/pdfs.zip privateGTP> unzip /tmp/pdfs.zip -d /tmp # took a few hours to process privateGTP> make ingest /tmp/pdfs/pdfs/ # launch web interface again for query documentation privateGTP> python3 -m private_gpt
localGPT
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Show HN: IncarnaMind-Chat with your multiple docs using LLMs
I think local LLMs are great for tinkerers, and with quantization can run on most modern PCs. I am not comfortable sending over my personal data over to OpenAI/Anthropic, so I've been playing around with https://github.com/PromtEngineer/localGPT/, GPT4All, etc. which keep the data all local.
Sliding window chunking, RAG, etc. seem more sophisticated than the other document LLM tools, so I would love to try this out if you ever add the ability to run LLMs locally!
- FLaNK Stack Weekly for 21 August 2023
- PromtEngineer/localGPT: Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents?
localGPT can parse PDF into embeddings, see <https://github.com/PromtEngineer/localGPT>.
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Which platform or model to use for fine tuning pdf files ?
This is going so fast that it feels like a new thing pops up every day. LocalGPT seems to have gotten a lot of traction though: https://github.com/PromtEngineer/localGPT
- Any successful guides on scanning internal pages and build a virtual assistant using LLAMA?
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CUDA Out of memory with Nvidia A2 need help
i am currently trying to use localGPT (https://github.com/PromtEngineer/localGPT) for a project and i encountered a problem.
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Using Local LLMs for things besides chat?
I tinker a lot with electronics. I have put datasheets for components, documentation for development boards, documentation for software libraries, etc into a database with localGPT.
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Question regarding model compatibility for Alpaca Turbo
There are a bunch of other methods to improve quality and performance like tree-of-thought-llm, connecting a LLM to a database or have it review its own output.
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Tools for ingesting .pdf files locally for training/fine-tuning?
Check out local gpt on git hub. I tried but it had slow response for me. Other developers are fine. https://github.com/PromtEngineer/localGPT
What are some alternatives?
anything-llm - The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
gpt4all - gpt4all: run open-source LLMs anywhere
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
h2ogpt - 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://codellama.h2o.ai/
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
llama_index - LlamaIndex is a data framework for your LLM applications
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
quivr - Your GenAI Second Brain 🧠 A personal productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Local & Private alternative to OpenAI GPTs & ChatGPT powered by retrieval-augmented generation.
langchain - 🦜🔗 Build context-aware reasoning applications