Update README.md

README.md

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----
-license: cc-by-nc-4.0
----
+---
+license: cc-by-nc-4.0
+datasets:
+- EryriLabs/uk_legislation_alpaca_style_cleaned
+base_model:
+- EryriLabs/llama-3.2-uk-legislation-3b
+---
+license: cc-by-4.0
+datasets:
+- santoshtyss/uk_legislation
+language:
+- en
+base_model:
+- unsloth/Llama-3.2-3B
+tags:
+- legal
+---
+
+# Llama 3.2 UK Legislation 3B
+
+
+<figure>
+  <img src="UKlegislation.png" alt="Llama 3.2 UK Legislation 3B" width="300">
+</figure>
+
+This model is a fine-tuned version of the Llama 3.2 UK Legislation 3B base. It was instruction-tuned for Q and A on UK legislation.
+It was trained as part of a blog series, see the article [here](https://www.gpt-labs.ai/post/making-a-domain-specific-uk-legislation-llm-part-1-pretraining) 
+## Model Details
+
+### Model Description
+- **Developed by:** GPT-LABS.AI
+- **Model type:** Transformer-based language model
+- **Language:** English
+- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Base model:** [llama-3.2-uk-legislation-3b](EryriLabs/llama-3.2-uk-legislation-3b)
+
+### Model Sources
+- **Repository:** [EryriLabs/llama-3.2-uk-legislation-3b](https://huggingface.co/EryriLabs/llama-3.2-uk-legislation-3b)
+- **Blog Post:** [Making a Domain-Specific UK Legislation LLM: Part 1 - Pretraining](https://www.gpt-labs.ai/post/making-a-domain-specific-uk-legislation-llm-part-1-pretraining)
+
+## Uses
+
+### Intended Use
+This model is designed to serve as Q and A for UK legislation and for further development for tasks such as:
+- Domain-specific applications in law or other fields
+- Research and experimentation in natural language processing
+- General-purpose natural language understanding and generation
+
+### Out-of-Scope Use
+This model is **not suitable** for:
+- Providing domain-specific expertise
+- Applications requiring high accuracy or nuanced understanding of UK legislation
+- Tasks involving sensitive or critical real-world applications without rigorous evaluation
+
+## Bias, Risks, and Limitations
+
+- **Bias:** The model may reflect biases inherent in the pretraining data. Outputs should be critically evaluated for accuracy and fairness.
+- **Risks:** As a base model, it may generate responses that are overly general or contextually inappropriate for specific tasks.
+- **Limitations:** The model is not fine-tuned for specific domains, including legal or legislative text, and does not include the most recent developments in any field.
+
+## How to Get Started with the Model
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load model and tokenizer
+model = AutoModelForCausalLM.from_pretrained("EryriLabs/llama-3.2-uk-legislation-instruct-3b", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("EryriLabs/llama-3.2-uk-legislation-instruct-3b")
+
+# Sample question
+input_text = "What are the main principles of UK legislation?"
+
+# Tokenize and generate response
+inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
+outputs = model.generate(inputs["input_ids"], max_length=50)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+print(response)
+```
+
+## Technical Specifications
+
+- **Model Architecture:** Llama 3.2 3B, a transformer-based model designed for natural language processing tasks.
+- **Training Data:** Pretrained on a diverse dataset of general text.
+- **Compute Infrastructure:** Training conducted on high-performance GPUs (e.g., NVIDIA A100).
+
+## Citation
+
+If you use this model, please cite:
+
+```
+@misc{llama3.2-uk-legislation-instruct-3b,
+  author = {GPT-LABS.AI},
+  title = {Llama 3.2 UK Legislation Instruct 3B},
+  year = {2024},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/EryriLabs/llama-3.2-uk-legislation-instruct-3b}
+}
+```
+
+## Model Card Authors
+
+- GPT-LABS.AI
+
+## Contact
+
+For questions or feedback, please visit gpt-labs.ai