# amharic-llama-llava
Pretraining, finetuning, and inference for Amharic LLaMA and LLaVA adapted from:
github.comgithub.comgithub.com
Llama-2-Amharic weights: iocuydi/llama-2-amharic-378…
Can be run with the inference script in this repo. Pretrained on 3.784b Amharic tokens.
Amharic LLaVA weights: iocuydi/amharic-llava
Can be run with the inference script in this repo. Must run with the PRETRAINED amharic llama, not finetuned.
See llava eval section for more details.
Amharic LLaVA requires this CLIP model: huggingface.co
Associated datasets:
Amharic Blip Laion: iocuydi/amharic-blip-laion
Amharic Dolly: iocuydi/amharic-dolly-15k
Amharic Alpaca: iocuydi/amharic-alpaca
Amharic Visual Instruction Tuning: iocuydi/amharic-visual-inst…
Amharic RedPajama Synthetic (pretraining, partial): iocuydi/amharic-redpajama-s…
Amharic OASST1 Pruned: iocuydi/amharic-OASST1-prun…
More info
arxiv.orgmedium.com
Cite:
```
@misc{andersland2024amharic,
title={Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages},
author={Michael Andersland},
year={2024},
eprint={2403.06354},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```