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monsoon-nlp/llama3-dnapretrain-kaniwa
llama3-dnapretrain-kaniwa is a machine learning model from monsoon-nlp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.
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Updated Apr 26, 2024
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From the Hugging Face model README
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 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