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--- |
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language: |
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- en |
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license: llama3 |
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tags: |
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- text-generation-inference |
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- unsloth |
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- llama |
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- trl |
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- dna |
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base_model: gradientai/Llama-3-8B-Instruct-262k |
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--- |
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# llama3-dnapretrain-kaniwa |
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This is a LoRA adapter. |
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The base model is the longer-context LLaMA-3-8b-Instruct developed by Gradient and Crusoe: `gradientai/Llama-3-8B-Instruct-262k` |
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The dataset was part of BYU's 2019 kaniwa (*Chenopodium pallidicaule*) genome, from https://genomevolution.org/coge/GenomeInfo.pl?gid=53872 |
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The adapter was finetuned for 3 hours on an A100. The data was split into ~20k nucleotide snippets with an Alpaca like message format. |
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Training Notebook: https://colab.research.google.com/drive/1XZcCYGFQGtz3_AKSR4F67WYXl6DIwP4R |
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Sample message: |
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``` |
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Write information about the nucleotide sequence. |
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### Sequence: |
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GCCTATAGTGTGTAGCTAATGAGCCTAGGTTATCGACCCTAATCT... |
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### Annotation: |
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Information about location in the kaniwa chromosome: >lcl|Cp5 |
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``` |
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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**Genome Citation** |
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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 |
