---
license: mit
datasets:
- Nebulous/gpt4all_pruned
- sahil2801/CodeAlpaca-20k
- yahma/alpaca-cleaned
---

This repo contains a low-rank adapter for **LLaMA-7b** fit on 
- `Nebulous/gpt4all_pruned`
- `sahil2801/CodeAlpaca-20k`
- `yahma/alpaca-cleaned`
- datasets part of the OpenAssistant project.


This version of the weights was trained with the following hyperparameters:

- Epochs: 2
- Batch size: 128
- Max Length: 2048
- Learning rate: 4e-6
- Lora _r_: 8
- Lora Alpha: 32
- Lora target modules: q_proj, k_proj, v_proj, o_proj

The model was trained with flash attention and gradient checkpointing.