tinyllama-lora-model

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This model was tested using 1% of the dataset

Model Details

Model Description

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Directly quantized 4bit model with bitsandbytes.

Unsloth can finetune LLMs with QLoRA 2.2x faster and use 62% less memory!

We have a Google Colab Tesla T4 notebook for TinyLlama with 4096 max sequence length RoPE Scaling here: https://colab.research.google.com/drive/1AZghoNBQaMDgWJpi4RbffGM1h6raLUj9?usp=sharing

Source : [unsloth/tinyllama-bnb-4bit]

Dataset : [yahma/alpaca-cleaned]

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Uses

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Training Details

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Preprocessing [optional]

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Training Hyperparameters

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Testing Data, Factors & Metrics

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Summary

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

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Framework versions

• PEFT 0.7.1