English
gpt4all-lora / README.md
zpn's picture
2 -> 3 (#4)
bcf5a1e
---
license: gpl-3.0
datasets:
- nomic-ai/gpt4all_prompt_generations
language:
- en
---
# gpt4all-lora
An autoregressive transformer trained on [data](https://huggingface.co/datasets/nomic-ai/gpt4all_prompt_generations) curated using [Atlas](https://atlas.nomic.ai/).
This model is trained with four full epochs of training, while the related [gpt4all-lora-epoch-3 model](https://huggingface.co/nomic-ai/gpt4all-lora-epoch-3) is trained with three.
Replication instructions and data: [https://github.com/nomic-ai/gpt4all](https://github.com/nomic-ai/gpt4all)
## Model Details
### Model Description
**Developed by:** [Nomic AI](https://home.nomic.ai)
**Model Type:** An auto-regressive language model based on the transformer architecture and fine-tuned.
**Languages:** English
**License:** [GPL-3.0](https://www.gnu.org/licenses/gpl-3.0.en.html)
**Finetuned from:** [LLaMA](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md)
### Model Sources
**Repository:** [https://github.com/nomic-ai/gpt4all](https://github.com/nomic-ai/gpt4all)
**Base Model Repository:** [https://github.com/facebookresearch/llama](https://github.com/facebookresearch/llama)
**Technical Report:** [GPT4All: Training an Assistant-style Chatbot with Large Scale Data
Distillation from GPT-3.5-Turbo](https://s3.amazonaws.com/static.nomic.ai/gpt4all/2023_GPT4All_Technical_Report.pdf)