4e55940edf
* feat(typescript)/dynamic template (#1287) * remove packaged yarn * prompt templates update wip * prompt template update * system prompt template, update types, remove embed promises, cleanup * support both snakecased and camelcased prompt context * fix #1277 libbert, libfalcon and libreplit libs not being moved into the right folder after build * added support for modelConfigFile param, allowing the user to specify a local file instead of downloading the remote models.json. added a warning message if code fails to load a model config. included prompt context docs by amogus. * snakecase warning, put logic for loading local models.json into listModels, added constant for the default remote model list url, test improvements, simpler hasOwnProperty call * add DEFAULT_PROMPT_CONTEXT, export new constants * add md5sum testcase and fix constants export * update types * throw if attempting to list models without a source * rebuild docs * fix download logging undefined url, toFixed typo, pass config filesize in for future progress report * added overload with union types * bump to 2.2.0, remove alpha * code speling --------- Co-authored-by: Andreas Obersteiner <8959303+iimez@users.noreply.github.com> |
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gpt4all-chat | ||
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gpt4all-training | ||
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CONTRIBUTING.md | ||
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LICENSE.txt | ||
monorepo_plan.md | ||
README.md |
GPT4All
Open-source assistant-style large language models that run locally on your CPU
🦜️🔗 Official Langchain Backend
GPT4All is made possible by our compute partner Paperspace.
Run on an M1 macOS Device (not sped up!)
GPT4All: An ecosystem of open-source on-edge large language models.
GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. Note that your CPU needs to support AVX or AVX2 instructions.
Learn more in the documentation.
The goal is simple - be the best instruction tuned assistant-style language model that any person or enterprise can freely use, distribute and build on.
A GPT4All model is a 3GB - 8GB file that you can download and plug into the GPT4All open-source ecosystem 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 train and deploy their own on-edge large language models.
Chat Client
Run any GPT4All model natively on your home desktop with the auto-updating desktop chat client. See GPT4All Website for a full list of open-source models you can run with this powerful desktop application.
Direct Installer Links:
Find the most up-to-date information on the GPT4All Website
Chat Client building and running
- Follow the visual instructions on the chat client build_and_run page
Bindings
- 🐍 Official Python Bindings
- 💻 Official Typescript Bindings
- 💻 Official GoLang Bindings
- 💻 Official C# Bindings
- 💻 Official Java Bindings
Contributing
GPT4All welcomes contributions, involvement, and discussion from the open source community! Please see CONTRIBUTING.md and follow the issues, bug reports, and PR markdown templates.
Check project discord, with project owners, or through existing issues/PRs to avoid duplicate work.
Please make sure to tag all of the above with relevant project identifiers or your contribution could potentially get lost.
Example tags: backend
, bindings
, python-bindings
, documentation
, etc.
Technical Reports
📗 Technical Report 3: GPT4All Snoozy and Groovy
📗 Technical Report 2: GPT4All-J
Citation
If you utilize this repository, models or data in a downstream project, please consider citing it with:
@misc{gpt4all,
author = {Yuvanesh Anand and Zach Nussbaum and Brandon Duderstadt and Benjamin Schmidt and Andriy Mulyar},
title = {GPT4All: Training an Assistant-style Chatbot with Large Scale Data Distillation from GPT-3.5-Turbo},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/nomic-ai/gpt4all}},
}