Create README.md

README.md

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+---
+language:
+- en
+---
+
+# Llama-3-1B-Base
+
+Llama3-1b is a trimmed version of the official Llama-3 8B base model from Meta. 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. This model is intended to serve as a base model and has not been further fine-tuned for any specific task.
+
+## Model Details
+
+- **Developed by:** Meta
+- **Model trained by:** Meta
+- **Date model was added to the Hub:** MM/DD/YYYY
+- **Model type:** Llama3-1b
+- **Language(s):** English
+
+## Uses
+
+This model can be fine-tuned for a variety of natural language processing tasks, including:
+
+- Text generation
+- Question answering
+- Sentiment analysis
+- Translation
+- Summarization
+
+## Bias, Risks, and Limitations
+
+While Llama3-1b is a powerful model, it is important to be aware of its limitations and potential biases. As with any language model, Llama3-1b may generate outputs that are factually incorrect or biased. It is also possible that the model may produce offensive or inappropriate content. Users should be aware of these risks and take appropriate measures to mitigate them.
+
+## How to Use
+
+To use Llama3-1b, you can load the model using the Hugging Face Transformers library in Python:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("andrijdavid/Llama-3-1B-Base/")
+model = AutoModelForCausalLM.from_pretrained("andrijdavid/Llama-3-1B-Base/")
+```
+
+