Eschatol/SydneyBot

1---2license: other3language:4- en5base_model:6- meta-llama/Llama-3.1-8B-Instruct7pipeline_tag: text-generation8tags:9- character10---11# SydneyBot - LLaMA 8B Model (v1)12 13## Model Description14This 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.15 16- **Architecture**: LLaMA 8B17- **Fine-tuned On**: Custom dataset representing the personality of Sydney18- **Size**: 8B parameters19- **Task**: Text generation (Causal Language Modeling)20 21## Intended Use22- **Primary Use**: This model is intended for text generation, including role-playing chat, dialogue systems, and storytelling.23- **How to Use**: The model can be used via the Hugging Face Inference API or integrated into custom applications using transformers.24 25## Example Usage:26```python27from transformers import AutoModelForCausalLM, AutoTokenizer28 29model = AutoModelForCausalLM.from_pretrained("Eschatol/SydneyBot")30tokenizer = AutoTokenizer.from_pretrained("Eschatol/SydneyBot")31 32inputs = tokenizer("Hello, Sydney!", return_tensors="pt")33outputs = model.generate(inputs["input_ids"], max_length=50)34print(tokenizer.decode(outputs[0]))