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README.md
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# smol_llama-101M-GQA: python
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> 400MB of buzz: pure Python programming nectar! 🍯
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This model is the general pre-trained checkpoint `BEE-spoke-data/smol_llama-101M-GQA` trained on a deduped version of `pypi` for +1 epoch. Play with the model in [this demo space](https://huggingface.co/spaces/BEE-spoke-data/beecoder-playground).
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# smol_llama-101M-GQA: python
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<a href="https://colab.research.google.com/gist/pszemraj/91b5a267df95461b46922e6c0212e8f7/beecoder-basic-test-notebook.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a>
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> 400MB of buzz: pure Python programming nectar! 🍯
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This model is the general pre-trained checkpoint `BEE-spoke-data/smol_llama-101M-GQA` trained on a deduped version of `pypi` for +1 epoch. Play with the model in [this demo space](https://huggingface.co/spaces/BEE-spoke-data/beecoder-playground).
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