metadata
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.