Create README.md

README.md

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+---
+license: other
+language:
+- en
+base_model:
+- meta-llama/Llama-3.1-8B-Instruct
+pipeline_tag: text-generation
+tags:
+- character
+---
+# SydneyBot - LLaMA 8B Model (v1)
+
+## Model Description
+This is a fine-tuned version of the LLaMA 8B model, trained to emulate the personality of a fictional character named Sydney. The model is trained for conversational AI and supports text generation tasks.
+
+- **Architecture**: LLaMA 8B
+- **Fine-tuned On**: Custom dataset representing the personality of Sydney
+- **Size**: 8B parameters
+- **Task**: Text generation (Causal Language Modeling)
+
+## Intended Use
+- **Primary Use**: This model is intended for text generation, including role-playing chat, dialogue systems, and storytelling.
+- **How to Use**: The model can be used via the Hugging Face Inference API or integrated into custom applications using transformers.
+
+## Example Usage:
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("Eschatol/SydneyBot")
+tokenizer = AutoTokenizer.from_pretrained("Eschatol/SydneyBot")
+
+inputs = tokenizer("Hello, Sydney!", return_tensors="pt")
+outputs = model.generate(inputs["input_ids"], max_length=50)
+print(tokenizer.decode(outputs[0]))