Updated README.md

README.md

@@ -1,13 +1,30 @@
-# gpt4all
+<h1 align="center">GPT4All</h1>
+<p align="center">Demo, data and code to train an assistant-style large language model</p>
 
+# Try it yourself
 
+-- TODO LLAMA C++ code
 
-# Setup
+
+
+# Reproducibility
+
+You can find trained LoRa model weights at:
+- gpt4all-lora https://huggingface.co/nomic-ai/vicuna-lora-multi-turn
+
+We are not distributing LLaMa 7B checkpoint they need to be used in association with.
+
+
+To reproduce our LoRA training run, do the following:
+
+## Setup
 
 Clone the repo
 
 `git clone --recurse-submodules git@github.com:nomic-ai/gpt4all.git`
 
+`git submodule configure && git submodule update`
+
 Setup the environment
 
 ```
@@ -29,3 +46,18 @@ pip install -e .
 ## Train
 
 `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.json train.py --config configs/train/finetune-7b.yaml`
+
+
+
+If you utilize this reposistory, models or data in a downstream project, please consider citing it with:
+```
+@misc{gpt4all,
+  author = {Yuvanesh Anand and Zachary 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}},
+}
+```
+