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--- |
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license: cc-by-4.0 |
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language: |
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- en |
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pipeline_tag: text-generation |
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--- |
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# Llama-3-1B-Base |
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Llama3-1b is a trimmed version of the official [Llama-3 8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) base model from [Meta](https://huggingface.co/meta-llama). |
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It has been reduced in size to ~1 billion parameters, making it more computationally efficient while still retaining a significant portion of the original model's capabilities. |
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This model is intended to serve as a base model and has not been further fine-tuned for any specific task. |
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It is specifically designed to bring the power of LLMs (Large Language Models) to environments with limited computational resources. This model offers a balance between performance and resource usage, serving as an efficient alternative for users who cannot leverage the larger, resource-intensive versions from Meta. |
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**Important**: This project is not affiliated with Meta. |
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## Uses |
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This model can be fine-tuned for a variety of natural language processing tasks, including: |
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- Text generation |
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- Question answering |
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- Sentiment analysis |
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- Translation |
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- Summarization |
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## Bias, Risks, and Limitations |
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While Llama3-1b is a powerful model, it is important to be aware of its limitations and potential biases. |
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As with any language model, this model may generate outputs that are factually incorrect or biased. |
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It is also possible that the model may produce offensive or inappropriate content. |
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Users and Developers should be aware of these risks and take appropriate measures to mitigate them. |
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## How to Use |
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To use Llama3-1b, you can load the model using the Hugging Face Transformers library in Python: |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("andrijdavid/Llama-3-1B-Base/") |
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model = AutoModelForCausalLM.from_pretrained("andrijdavid/Llama-3-1B-Base/") |
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``` |
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