Starting a minimal Model Card based on the information immediately available for this model.

README.md

@@ -6,5 +6,30 @@ 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/).
-Replication instructions and data: https://github.com/nomic-ai/gpt4all
+This model is trained with four full epochs of training, while the related [gpt4all-lora-epoch-2 model](https://huggingface.co/nomic-ai/gpt4all-lora-epoch-2) 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)
+