README.md

---
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]))