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Trelis/TrelisSmolLM-base
TrelisSmolLM-base is a machine learning model from Trelis. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a pruned and distilled version of SmolLM-360M, created for scientific curiosity.
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From the Hugging Face model README
This model is a pruned and distilled version of SmolLM-360M, created for scientific curiosity.
To purchase the training scripts used for this model, visit: https://trelis.com/advanced-fine-tuning-scripts/
TrelisLM-80M is a 80 million parameter language model derived from SmolLM-360M. It was created through a process of layer and width pruning, followed by distillation from SmolLM-360M-Instruct using Forward KL loss.
This model is primarily intended for scientific curiosity and research purposes. It can be used to explore the effects of model pruning and distillation on language model performance.
As this model is still not completely trained, it should not be used for any production or real-world applications at this stage.
The model is still in the training process and may have unpredictable behaviors or biases. It should be used with caution and only for research purposes.
Users should be aware that this model is a work in progress and its outputs should not be relied upon for any critical or sensitive tasks.
The model was distilled using the Trelis/smollm-corpus-2percent dataset.
The training procedure involved the following steps:
Evaluation results are not yet available for this model.
Further examination and interpretation of the model's behavior are needed.
[More Information Needed]
TrelisLM-80M is an 80 million parameter language model derived from SmolLM-360M through pruning and distillation from SmolLM-360M-Instruct.
[More Information Needed]
[More Information Needed]