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@@ -215,8 +215,6 @@ No training was conducted by the Protecttors for this repository.
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  The GGUF quantization of Qwen2-0.5B is a lightweight conversion step with negligible carbon footprint relative to the original pre-training.
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- Carbon emissions for the original Qwen2 pre-training can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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  - **Hardware Type:** Not applicable (no training by Protecttors)
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  - **Hours used:** Not applicable
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  - **Cloud Provider:** Not applicable
 
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  The GGUF quantization of Qwen2-0.5B is a lightweight conversion step with negligible carbon footprint relative to the original pre-training.
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  - **Hardware Type:** Not applicable (no training by Protecttors)
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  - **Hours used:** Not applicable
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  - **Cloud Provider:** Not applicable