Update README.md

README.md

@@ -1,3 +1,68 @@
----
-license: apache-2.0
----
+# Kat-Gen1
+
+## Model Overview
+
+Kat-Gen1 is a generative language model designed for text generation tasks. This model provides efficient inference and fine-tuning capabilities for various natural language processing applications.
+
+## Model Details
+
+- **Model Type:** Causal Language Model
+- **Architecture:** Transformer-based
+- **Training Data:** General domain text corpus
+- **License:** Apache 2.0
+
+## Intended Use
+
+### Primary Use Cases
+- Text generation and completion
+- Creative writing assistance
+- Conversational AI applications
+- Content drafting and ideation
+
+### Out-of-Scope Use
+- Medical or legal advice
+- Generation of harmful or misleading content
+- Tasks requiring real-time factual accuracy
+
+## Performance
+
+The model demonstrates competitive performance on standard text generation benchmarks while maintaining computational efficiency suitable for both research and production environments.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("Katisim/Kat-Gen1")
+tokenizer = AutoTokenizer.from_pretrained("Katisim/Kat-Gen1")
+
+prompt = "Your prompt here"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=100)
+print(tokenizer.decode(outputs[0]))
+```
+
+## Limitations
+
+- May generate biased or inappropriate content
+- Performance varies with prompt quality
+- Not suitable for factual accuracy-critical applications
+- Limited context window compared to larger models
+
+## Ethical Considerations
+
+Users should implement appropriate content filtering and monitoring when deploying this model in production environments. The model may reflect biases present in training data.
+
+## Citation
+
+If you use this model in your research, please cite:
+
+```bibtex
+@misc{kat-gen1-2024,
+  author = {Katisim},
+  title = {Kat-Gen1: A Generative Language Model},
+  year = {2024},
+  publisher = {HuggingFace},
+  url = {https://huggingface.co/Katisim/Kat-Gen1}
+}
+```