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Run on M1 Mac (not sped up!) Try it yourself The models and data versions can be specified by passing a revision argument.įor example, to load the v1.2-jazzy model and dataset, run:Īccelerate 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 Original GPT4All Model (based on GPL Licensed LLaMa)

v1.2-jazzy: Trained on a filtered dataset where we also removed instances like I'm sorry, I can't answer.

v1.1-breezy: Trained on afiltered dataset where we removed all instances of AI language model.

v1.0: The original model trained on the v1.0 dataset.

We have released updated versions of our GPT4All-J model and training data.

We are releasing the curated training data for anyone to replicate GPT4All-J here: GPT4All-J Training Data.

Please see GPT4All-J Technical Report for details. Stay tuned on the GPT4All discord for updates. Python bindings are imminent and will be integrated into this repository. GPT4All will support the ecosystem around this new C++ backend going forward. It will not work with any existing llama.cpp bindings as we had to do a large fork of llama.cpp. Note this model is only compatible with the C++ bindings found here. We did not want to delay release while waiting for their process to complete.įind the most up-to-date information on the GPT4All Website Raw Model These files are not yet cert signed by Windows/Apple so you will see security warnings on initial installation. If you have older hardware that only supports avx and not avx2 you can use these.

Installs a native chat-client with auto-update functionality that runs on your desktop with the GPT4All-J model baked into it. Run on an M1 Mac (not sped up!) GPT4All-J Chat UI Installers GPT4All-J: An Apache-2 Licensed GPT4All Model

GPT4All is made possible by our compute partner Paperspace. Demo, data, and code to train open-source assistant-style large language model based on GPT-J and LLaMa