htmLLM - tiny coding HTML assistants - experiment
Collection
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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.
This model is also a bit finetuned using html_alpaca directly in the pretraining.
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.
All code can be accessed via the file htmllm_v2_124m.ipynb in this HF model.
The final base model checkpoint can be downloaded here in the files list as ckpt.pt.
We trained our model on a single Kaggle T4 GPU.