Text Generation
Transformers
Safetensors
English
Chinese
Vietnamese
qwen3
roleplay
chat
rp
character
waifu
natural converation
creative writing
storytelling
sfw
hybird
conversational
text-generation-inference
Instructions to use beyoru/Lunaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beyoru/Lunaa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="beyoru/Lunaa") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("beyoru/Lunaa") model = AutoModelForCausalLM.from_pretrained("beyoru/Lunaa") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use beyoru/Lunaa with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "beyoru/Lunaa" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "beyoru/Lunaa", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/beyoru/Lunaa
- SGLang
How to use beyoru/Lunaa with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "beyoru/Lunaa" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "beyoru/Lunaa", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "beyoru/Lunaa" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "beyoru/Lunaa", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use beyoru/Lunaa with Docker Model Runner:
docker model run hf.co/beyoru/Lunaa
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# 🌙 Lunaa – Roleplay Chat Model
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Lunaa is a conversational AI model designed for **immersive roleplay (RP)** and natural chatting.
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It is fine-tuned to respond in a more engaging, character-driven style compared to standard instruction-tuned models.
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- **Reasoning** and non reasoning for fast interface as usage of Qwen3 (`enable_thinking=True/False`).
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## Support me at:
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<a href="https://www.buymeacoffee.com/ductransa0g" target="_blank">
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## Cite:
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```
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# 🌙 Lunaa – Roleplay Chat Model
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[](https://github.com/Hert4)
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[](https://huggingface.co/beyoru)
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[](https://buymeacoffee.com/ductransa0g)
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Lunaa is a conversational AI model designed for **immersive roleplay (RP)** and natural chatting.
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It is fine-tuned to respond in a more engaging, character-driven style compared to standard instruction-tuned models.
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- **Reasoning** and non reasoning for fast interface as usage of Qwen3 (`enable_thinking=True/False`).
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## Cite:
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```
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