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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- bigcode/the-stack-smol
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- ttbui/html_alpaca
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language:
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- en
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tags:
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- code
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- coding
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- small
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- tiny
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---
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# Welcome to htmLLM v2 124M!
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With this LLM, we wanted to see, how well tiny LLMs with just 124 million parameters can perform on coding tasks.
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This model is also a bit finetuned using html_alpaca directly in the pretraining.
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If you want to try it, you can use htmllm.ipynb in the HF model files and download the model weight from this HF model.
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# Code
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All code can be accessed via the file **htmllm_v2_124m.ipynb** in this HF model.
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# Weights
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The final **base** model checkpoint can be downloaded here in the files list as **ckpt.pt**. It will be available soon!
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# Training
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We trained our model on a single Kaggle T4 GPU.
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# Thanks to:
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- Andrej Karpathy and his nanoGPT code
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- Kaggle for the free GPU hours for training on the T4
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- You all for your support on my reddit.
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