privateGPT VS GPTQ-for-LLaMa

Compare privateGPT vs GPTQ-for-LLaMa and see what are their differences.

privateGPT

Interact with your documents using the power of GPT, 100% privately, no data leaks [Moved to: https://github.com/zylon-ai/private-gpt] (by imartinez)

GPTQ-for-LLaMa

4 bits quantization of LLaMa using GPTQ (by oobabooga)
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privateGPT GPTQ-for-LLaMa
1 19
50,198 129
- -
- 7.7
6 days ago 10 months ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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

Posts with mentions or reviews of privateGPT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-23.
  • PrivateGPT exploring the Documentation
    2 projects | dev.to | 23 Mar 2024
    # 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

GPTQ-for-LLaMa

Posts with mentions or reviews of GPTQ-for-LLaMa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-11.

What are some alternatives?

When comparing privateGPT and GPTQ-for-LLaMa you can also consider the following projects:

exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI

langflow - ⛓️ Langflow is a dynamic graph where each node is an executable unit. Its modular and interactive design fosters rapid experimentation and prototyping, pushing hard on the limits of creativity.

GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ

one-click-installers - Simplified installers for oobabooga/text-generation-webui.

private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks

SillyTavern - LLM Frontend for Power Users.

Local-LLM-Comparison-Colab-UI - Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.

SillyTavern - LLM Frontend for Power Users. [Moved to: https://github.com/SillyTavern/SillyTavern]

localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

ollama - Get up and running with Llama 2, Mistral, Gemma, and other large language models.