GPT4All

Open-source assistant-style large language models that run locally on CPU

GPT4All is made possible by our compute partner Paperspace.

## GPT4All: An ecosystem of open-source on-edge large language models. ![gpt4all-j-demo](https://user-images.githubusercontent.com/13879686/231876409-e3de1934-93bb-4b4b-9013-b491a969ebbc.gif) Run on an M1 Mac (not sped up!) ## Contributing GPT4All welcomes contribution, involvment, and discussion from the open source community! Please see CONTRIBUTING.md and follow the issue, bug report, 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. ### Chat Client Run any GPT4All model natively on your home desktop with the auto-updating desktop chat client. See website for exaustive list of models.

GPT4All Website

Direct Installer Links: [Mac/OSX](https://gpt4all.io/installers/gpt4all-installer-darwin.dmg) [Windows](https://gpt4all.io/installers/gpt4all-installer-win64.exe) [Ubuntu](https://gpt4all.io/installers/gpt4all-installer-linux.run) If you have older hardware that only supports avx and not avx2 you can use these. [Mac/OSX - avx-only](https://gpt4all.io/installers/gpt4all-installer-darwin-avx-only.dmg) [Windows - avx-only](https://gpt4all.io/installers/gpt4all-installer-win64-avx-only.exe) [Ubuntu - avx-only](https://gpt4all.io/installers/gpt4all-installer-linux-avx-only.run) Find the most up-to-date information on the [GPT4All Website](https://gpt4all.io/) ### Python Bindings ```bash pip install gpt4all ``` ```python import gpt4all gptj = gpt4all.GPT4All("ggml-gpt4all-j-v1.3-groovy") messages = [{"role": "user", "content": "Name 3 colors"}] gptj.chat_completion(messages) ``` ## Training GPT4All-J Please see [GPT4All-J Technical Report](https://static.nomic.ai/gpt4all/2023_GPT4All-J_Technical_Report_2.pdf) for details. ### GPT4All-J Training Data - We are releasing the curated training data for anyone to replicate GPT4All-J here: [GPT4All-J Training Data](https://huggingface.co/datasets/nomic-ai/gpt4all-j-prompt-generations) - [Atlas Map of Prompts](https://atlas.nomic.ai/map/gpt4all-j-prompts-curated) - [Atlas Map of Responses](https://atlas.nomic.ai/map/gpt4all-j-response-curated) We have released updated versions of our `GPT4All-J` model and training data. - `v1.0`: The original model trained on the v1.0 dataset - `v1.1-breezy`: Trained on a filtered dataset where we removed all instances of AI language model - `v1.2-jazzy`: Trained on a filtered dataset where we also removed instances like I'm sorry, I can't answer... and AI language model The [models](https://huggingface.co/nomic-ai/gpt4all-j) and [data](https://huggingface.co/datasets/nomic-ai/gpt4all-j-prompt-generations) versions can be specified by passing a `revision` argument. For example, to load the `v1.2-jazzy` model and dataset, run: ```python from datasets import load_dataset from transformers import AutoModelForCausalLM dataset = load_dataset("nomic-ai/gpt4all-j-prompt-generations", revision="v1.2-jazzy") model = AutoModelForCausalLM.from_pretrained("nomic-ai/gpt4all-j-prompt-generations", revision="v1.2-jazzy") ``` ### GPT4All-J Training Instructions ```bash accelerate launch --dynamo_backend=inductor --num_processes=8 --num_machines=1 --machine_rank=0 --deepspeed_multinode_launcher standard --mixed_precision=bf16 --use_deepspeed --deepspeed_config_file=configs/deepspeed/ds_config_gptj.json train.py --config configs/train/finetune_gptj.yaml ``` ## 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}}, } ```