---
language:
- en
license: llama3
tags:
- text-generation-inference
- unsloth
- llama
- trl
- dna
base_model: gradientai/Llama-3-8B-Instruct-262k
---

# llama3-dnapretrain-kaniwa

This is a LoRA adapter.

The base model is the longer-context LLaMA-3-8b-Instruct developed by Gradient and Crusoe: `gradientai/Llama-3-8B-Instruct-262k`

The dataset was part of BYU's 2019 kaniwa (*Chenopodium pallidicaule*) genome, from https://genomevolution.org/coge/GenomeInfo.pl?gid=53872

The adapter was finetuned for 3 hours on an A100. The data was split into ~20k nucleotide snippets with an Alpaca like message format.

Training Notebook: https://colab.research.google.com/drive/1XZcCYGFQGtz3_AKSR4F67WYXl6DIwP4R

Sample message: 
```
Write information about the nucleotide sequence.

### Sequence:
GCCTATAGTGTGTAGCTAATGAGCCTAGGTTATCGACCCTAATCT...

### Annotation:
Information about location in the kaniwa chromosome: >lcl|Cp5
```

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

**Genome Citation**

Mangelson H, et al. The genome of *Chenopodium pallidicaule*: an emerging Andean super grain. Appl. Plant Sci. 2019;7:e11300. doi: 10.1002/aps3.11300