license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- role-play
- fine-tuned
- qwen2
base_model: Qwen/Qwen2-1.5B
library_name: transformers
Introduction
Oxy 1 Micro is a fine-tuned version of the Qwen2-1.5B language model, specialized for role-play scenarios. Despite its small size, it delivers impressive performance in generating engaging dialogues and interactive storytelling.
Developed by Oxygen (oxyapi), with contributions from TornadoSoftwares, Oxy 1 Micro aims to provide an accessible and efficient language model for creative and immersive role-play experiences.
Model Details
- Model Name: Oxy 1 Micro
- Model ID: oxyapi/oxy-1-micro
- Base Model: Qwen/Qwen2-1.5B
- Model Type: Chat Completions
- License: Apache-2.0
- Language: English
- Tokenizer: Qwen/Qwen2.5-1.5B-Instruct
- Max Input Tokens: 32,768
- Max Output Tokens: 8,192
Features
- Fine-tuned for Role-Play: Specially trained to generate dynamic and contextually rich role-play dialogues.
- Efficient: Compact model size allows for faster inference and reduced computational resources.
- Parameter Support:
temperature
top_p
top_k
frequency_penalty
presence_penalty
max_tokens
Metadata
- Owned by: Oxygen (oxyapi)
- Contributors: TornadoSoftwares
- Description: A Qwen2-1.5B fine-tune for role-play; small model but still good.
Usage
To utilize Oxy 1 Micro for text generation in role-play scenarios, you can load the model using the Hugging Face Transformers library:
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("oxyapi/oxy-1-micro")
model = AutoModelForCausalLM.from_pretrained("oxyapi/oxy-1-micro")
prompt = "You are a wise old wizard in a mystical land. A traveler approaches you seeking advice."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=500)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)
Performance
Performance benchmarks for Oxy 1 Micro are not available at this time. Future updates may include detailed evaluations on relevant datasets.
License
This model is licensed under the Apache 2.0 License.
Citation
If you find Oxy 1 Micro useful in your research or applications, please cite it as:
@misc{oxy1micro2024,
title={Oxy 1 Micro: A Fine-Tuned Qwen2-1.5B Model for Role-Play},
author={Oxygen (oxyapi)},
year={2024},
howpublished={\url{https://huggingface.co/oxyapi/oxy-1-micro}},
}