Quantifying the Carbon Emissions of Machine Learning
Paper • 1910.09700 • Published • 61
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [Karanja Kariuki]
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Uses
For the Inference of Questions on the topics of Web Development, Design and LLM Engineering
Direct Use
[from peft import PeftModel from transformers import AutoModelForCausalLM, AutoTokenizer
Load base model + your adapter
base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "your-username/your-model-name") tokenizer = AutoTokenizer.from_pretrained("your-username/your-model-name")]
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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Model tree for Raevmood/llama-2-7b-finetuned
Base model
meta-llama/Llama-2-7b-hf