Create README.md

README.md

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+---
+license: apache-2.0
+---
+It remain factual and reliable even in dramatic situations.
+
+---
+
+### Model Card for kevin009/llamaRAGdrama
+
+#### Model Details
+- **Model Name:** kevin009/llamaRAGdrama
+- **Model Type:** Fine-tuned for Q&A, RAG.
+- **Fine-tuning Objective:** Synthesis text content in Q&A, RAG scenarios.
+
+#### Intended Use
+- **Applications:** RAG, Q&A
+
+#### Training Data
+- **Sources:** Includes a diverse dataset of dramatic texts, enriched with factual databases and reliable sources to train the model on generating content that remains true to real-world facts.
+- **Preprocessing:** In addition to removing non-content text, data was annotated to distinguish between purely creative elements and those that require factual accuracy, ensuring a balanced training approach.
+
+#### How to Use
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("kevin009/llamaRAGdrama")
+model = AutoModelForCausalLM.from_pretrained("kevin009/llamaRAGdrama")
+
+input_text = "Enter your prompt here"
+input_tokens = tokenizer.encode(input_text, return_tensors='pt')
+output_tokens = model.generate(input_tokens, max_length=100, num_return_sequences=1, temperature=0.9)
+generated_text = tokenizer.decode(output_tokens[0], skip_special_tokens=True)
+
+print(generated_text)
+```
+Replace `"Enter your prompt here"` with your starting text. Adjust `temperature` for creativity level.
+
+#### Limitations and Biases
+- **Content Limitation:** While designed to be truthful, It may not be considered safe.
+- **Biases:** It may remain biases and inaccurate.
+
+#### Licensing and Attribution
+- **License:** Apache-2.0