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<h1 align="center">GPT4All</h1>
<p align="center">Open-source assistant-style large language models that run locally on CPU</p>
<p align="center">Open-source assistant-style large language models that run locally on your CPU</p>
<p align="center">
<a href="https://gpt4all.io">GPT4All Website</a>
@ -80,7 +80,6 @@ If you have older hardware that only supports avx and not avx2 you can use these
* [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/)
### Chat Client building and running
@ -93,43 +92,9 @@ Find the most up-to-date information on the [GPT4All Website](https://gpt4all.io
* <a href="https://github.com/nomic-ai/gpt4all/tree/main/gpt4all-bindings/typescript">:computer: Official Typescript Bindings</a>
## 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
```
## 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.
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.