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Signed-off-by: patcher9 <patcher99@dokulabs.com> Co-authored-by: Jared Van Bortel <jared@nomic.ai>
162 lines
9.1 KiB
Markdown
162 lines
9.1 KiB
Markdown
<h1 align="center">GPT4All</h1>
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<p align="center">Privacy-oriented software for chatting with large language models that run on your own computer.</p>
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<p align="center">
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<a href="https://gpt4all.io">Official Website</a> • <a href="https://docs.gpt4all.io">Documentation</a> • <a href="https://discord.gg/mGZE39AS3e">Discord</a>
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</p>
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<p align="center">
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Official Download Links: <a href="https://gpt4all.io/installers/gpt4all-installer-win64.exe">Windows</a> — <a href="https://gpt4all.io/installers/gpt4all-installer-darwin.dmg">macOS</a> — <a href="https://gpt4all.io/installers/gpt4all-installer-linux.run">Ubuntu</a>
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</p>
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<p align="center">
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<b>NEW:</b> <a href="https://forms.nomic.ai/gpt4all-release-notes-signup">Subscribe to our mailing list</a> for updates and news!
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</p>
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<p align="center">
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GPT4All is made possible by our compute partner <a href="https://www.paperspace.com/">Paperspace</a>.
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</p>
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<p align="center">
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<a href="https://www.phorm.ai/query?projectId=755eecd3-24ad-49cc-abf4-0ab84caacf63"><img src="https://img.shields.io/badge/Phorm-Ask_AI-%23F2777A.svg" alt="phorm.ai"></a>
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</p>
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<p align="center">
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<img width="auto" height="400" src="https://github.com/nomic-ai/gpt4all/assets/14168726/495fce3e-769b-4e5a-a394-99f072ac4d29">
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</p>
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<p align="center">
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Run on an M2 MacBook Pro (not sped up!)
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</p>
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## About GPT4All
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GPT4All is an ecosystem to run **powerful** and **customized** large language models that work locally on consumer grade CPUs and NVIDIA and AMD GPUs. Note that your CPU needs to support [AVX instructions](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions).
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Learn more in the [documentation](https://docs.gpt4all.io).
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A GPT4All model is a 3GB - 8GB file that you can download and plug into the GPT4All software. **Nomic AI** supports and maintains this software ecosystem to enforce quality and security alongside spearheading the effort to allow any person or enterprise to easily deploy their own on-edge large language models.
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### Installation
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The recommended way to install GPT4All is to use one of the online installers linked above in this README, which are also available at the [GPT4All website](https://gpt4all.io/). These require an internet connection at install time, are slightly easier to use on macOS due to code signing, and provide a version of GPT4All that can check for updates.
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An alternative way to install GPT4All is to use one of the offline installers available on the [Releases page](https://github.com/nomic-ai/gpt4all/releases). These do not require an internet connection at install time, and can be used to install an older version of GPT4All if so desired. But using these requires acknowledging a security warning on macOS, and they provide a version of GPT4All that is unable to notify you of updates, so you should enable notifications for Releases on this repository (Watch > Custom > Releases) or sign up for announcements in our [Discord server](https://discord.gg/mGZE39AS3e).
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### What's New
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- **October 19th, 2023**: GGUF Support Launches with Support for:
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- Mistral 7b base model, an updated model gallery on [gpt4all.io](https://gpt4all.io), several new local code models including Rift Coder v1.5
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- [Nomic Vulkan](https://blog.nomic.ai/posts/gpt4all-gpu-inference-with-vulkan) support for Q4\_0 and Q4\_1 quantizations in GGUF.
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- Offline build support for running old versions of the GPT4All Local LLM Chat Client.
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- **September 18th, 2023**: [Nomic Vulkan](https://blog.nomic.ai/posts/gpt4all-gpu-inference-with-vulkan) launches supporting local LLM inference on NVIDIA and AMD GPUs.
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- **July 2023**: Stable support for LocalDocs, a feature that allows you to privately and locally chat with your data.
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- **June 28th, 2023**: [Docker-based API server] launches allowing inference of local LLMs from an OpenAI-compatible HTTP endpoint.
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[Docker-based API server]: https://github.com/nomic-ai/gpt4all/tree/cef74c2be20f5b697055d5b8b506861c7b997fab/gpt4all-api
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### Building From Source
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* Follow the instructions [here](gpt4all-chat/build_and_run.md) to build the GPT4All Chat UI from source.
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### Bindings
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* :snake: <a href="https://github.com/nomic-ai/gpt4all/tree/main/gpt4all-bindings/python">Official Python Bindings</a> [](https://pepy.tech/project/gpt4all)
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* :computer: <a href="https://github.com/nomic-ai/gpt4all/tree/main/gpt4all-bindings/typescript">Typescript Bindings</a>
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### Integrations
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* :parrot::link: [Langchain](https://python.langchain.com/en/latest/modules/models/llms/integrations/gpt4all.html)
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* :card_file_box: [Weaviate Vector Database](https://github.com/weaviate/weaviate) - [module docs](https://weaviate.io/developers/weaviate/modules/retriever-vectorizer-modules/text2vec-gpt4all)
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* :telescope: [OpenLIT (OTel-native Monitoring)](https://github.com/openlit/openlit) - [Docs](https://docs.openlit.io/latest/integrations/gpt4all)
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## Contributing
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GPT4All welcomes contributions, involvement, and discussion from the open source community!
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Please see CONTRIBUTING.md and follow the issues, bug reports, and PR markdown templates.
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Check project discord, with project owners, or through existing issues/PRs to avoid duplicate work.
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Please make sure to tag all of the above with relevant project identifiers or your contribution could potentially get lost.
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Example tags: `backend`, `bindings`, `python-bindings`, `documentation`, etc.
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## GPT4All 2024 Roadmap
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To contribute to the development of any of the below roadmap items, make or find the corresponding issue and cross-reference the [in-progress task](https://github.com/orgs/nomic-ai/projects/2/views/1).
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Each item should have an issue link below.
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- Chat UI Language Localization (localize UI into the native languages of users)
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- [ ] Chinese
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- [ ] German
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- [ ] French
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- [ ] Portuguese
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- [ ] Your native language here.
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- UI Redesign: an internal effort at Nomic to improve the UI/UX of gpt4all for all users.
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- [ ] Design new user interface and gather community feedback
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- [ ] Implement the new user interface and experience.
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- Installer and Update Improvements
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- [ ] Seamless native installation and update process on OSX
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- [ ] Seamless native installation and update process on Windows
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- [ ] Seamless native installation and update process on Linux
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- Model discoverability improvements:
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- [x] Support huggingface model discoverability
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- [ ] Support Nomic hosted model discoverability
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- LocalDocs (towards a local perplexity)
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- Multilingual LocalDocs Support
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- [ ] Create a multilingual experience
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- [ ] Incorporate a multilingual embedding model
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- [ ] Specify a preferred multilingual LLM for localdocs
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- Improved RAG techniques
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- [ ] Query augmentation and re-writing
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- [ ] Improved chunking and text extraction from arbitrary modalities
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- [ ] Custom PDF extractor past the QT default (charts, tables, text)
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- [ ] Faster indexing and local exact search with v1.5 hamming embeddings and reranking (skip ANN index construction!)
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- Support queries like 'summarize X document'
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- Multimodal LocalDocs support with Nomic Embed
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- Nomic Dataset Integration with real-time LocalDocs
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- [ ] Include an option to allow the export of private LocalDocs collections to Nomic Atlas for debugging data/chat quality
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- [ ] Allow optional sharing of LocalDocs collections between users.
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- [ ] Allow the import of a LocalDocs collection from an Atlas Datasets
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- Chat with live version of Wikipedia, Chat with Pubmed, chat with the latest snapshot of world news.
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- First class Multilingual LLM Support
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- [ ] Recommend and set a default LLM for German
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- [ ] Recommend and set a default LLM for English
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- [ ] Recommend and set a default LLM for Chinese
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- [ ] Recommend and set a default LLM for Spanish
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- Server Mode improvements
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- Improved UI and new requested features:
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- [ ] Fix outstanding bugs and feature requests around networking configurations.
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- [ ] Support Nomic Embed inferencing
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- [ ] First class documentation
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- [ ] Improving developer use and quality of server mode (e.g. support larger batches)
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## Technical Reports
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<p align="center">
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<a href="https://gpt4all.io/reports/GPT4All_Technical_Report_3.pdf">:green_book: Technical Report 3: GPT4All Snoozy and Groovy </a>
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</p>
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<p align="center">
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<a href="https://static.nomic.ai/gpt4all/2023_GPT4All-J_Technical_Report_2.pdf">:green_book: Technical Report 2: GPT4All-J </a>
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</p>
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<p align="center">
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<a href="https://s3.amazonaws.com/static.nomic.ai/gpt4all/2023_GPT4All_Technical_Report.pdf">:green_book: Technical Report 1: GPT4All</a>
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</p>
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## Citation
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If you utilize this repository, models or data in a downstream project, please consider citing it with:
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```
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@misc{gpt4all,
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author = {Yuvanesh Anand and Zach Nussbaum and Brandon Duderstadt and Benjamin Schmidt and Andriy Mulyar},
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title = {GPT4All: Training an Assistant-style Chatbot with Large Scale Data Distillation from GPT-3.5-Turbo},
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year = {2023},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\url{https://github.com/nomic-ai/gpt4all}},
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}
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```
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