BEE-spoke-data
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smol_llama-101M-GQA-python

Text Generation

text-generation-inference

Inference Endpoints

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pszemraj commited on Nov 6, 2023

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 > 400MB of buzz: pure Python programming nectar! 🍯
-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.
 - Its architecture is the same as the base, with some new Python-related tokens added to vocab prior to training.
 - It can generate basic Python code and markdown in README style, but will struggle with harder planning/reasoning tasks

 > 400MB of buzz: pure Python programming nectar! 🍯
+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).
 - Its architecture is the same as the base, with some new Python-related tokens added to vocab prior to training.
 - It can generate basic Python code and markdown in README style, but will struggle with harder planning/reasoning tasks