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| Icendanic Meta-LLaMA 3.1 8B Model |
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| Model Description: |
| The Icendanic Meta-LLaMA 3.1 8B is a fine-tuned language model built for tasks involving Icelandic text. It is designed to handle a variety of natural language processing tasks, including text generation, translation, and analysis, while emphasizing Icelandic language features. |
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| Intended Use: |
| This model is intended for research and educational purposes, with a focus on: |
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| Icelandic language modeling and processing: |
| Text generation and contextual understanding. |
| Translation and evaluation tasks. |
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| Not suitable for: |
| Sensitive or production-critical applications where guaranteed performance and low latency are required. |
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| Training: |
| The model was fine-tuned using a curated dataset (Icelandic_cleaned.json) on Meta's LLaMA architecture. Training was performed on GPU resources, with loss convergence monitored using training_validation_loss_meta_llama.png. |
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| Training Framework: PyTorch |
| Optimization Techniques: Hyperparameter tuning, learning rate adjustments, and validation-based monitoring. |
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| Metrics: |
| The primary evaluation metrics used for this model are: |
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| Training Loss |
| Validation Loss |
| The training curves are available for reference in training_validation_loss_plot.png. |
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| Usage: |
| The model can be loaded using the transformers library from Hugging Face: |
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| python |
| Copy code |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
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| tokenizer = AutoTokenizer.from_pretrained("path/to/icendanic-model") |
| model = AutoModelForCausalLM.from_pretrained("path/to/icendanic-model") |
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| # Example usage |
| input_text = "Hvernig er veðrið í dag?" |
| inputs = tokenizer(input_text, return_tensors="pt") |
| outputs = model.generate(**inputs) |
| print(tokenizer.decode(outputs[0])) |
| Limitations |
| Limited training dataset scope may restrict performance on out-of-domain Icelandic text. |
| May exhibit biases present in the original dataset. |
| Results may vary depending on task complexity and input length. |
| Citation |
| If you use this model, please cite as: |
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| css |
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| @misc{icendanic_model, |
| author = {Icendanic Team}, |
| title = {Icendanic Meta-LLaMA 3.1 8B Model}, |
| year = 2024, |
| note = {https://huggingface.co/your-repository-name} |
| } |
| License |
| This model is released without any specific license. Please ensure compliance with the original dataset's terms and conditions when using this model. |
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| Acknowledgements |
| This project was developed as part of ongoing research and academic efforts. |
