RP/Storytelling - Luna-I
Collection
Roleplay • 7 items • Updated • 2
How to use beyoru/Luna-Fusion-RP with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="beyoru/Luna-Fusion-RP")
messages = [
{"role": "user", "content": "Who are you?"},
]
pipe(messages) # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("beyoru/Luna-Fusion-RP")
model = AutoModelForCausalLM.from_pretrained("beyoru/Luna-Fusion-RP")
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]:]))How to use beyoru/Luna-Fusion-RP with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "beyoru/Luna-Fusion-RP"
# 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/Luna-Fusion-RP",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'docker model run hf.co/beyoru/Luna-Fusion-RP
How to use beyoru/Luna-Fusion-RP with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "beyoru/Luna-Fusion-RP" \
--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/Luna-Fusion-RP",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'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/Luna-Fusion-RP" \
--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/Luna-Fusion-RP",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'How to use beyoru/Luna-Fusion-RP with Docker Model Runner:
docker model run hf.co/beyoru/Luna-Fusion-RP
Luna is a conversational AI model designed for immersive roleplay (RP) and natural chatting.
It is fine-tuned to respond in a more engaging, character-driven style compared to standard instruction-tuned models.
This is a merging version of all RP models, base model in evolution merged method with the CREATIVE WRITING dataset.
This influence by the success when merging model to impoveing performance in my test.
@misc{Luna,
title = {Luna-Fusion-RP – Roleplay Chat Model},
author = {Beyoru},
year = {2025},
howpublished = {\url{https://huggingface.co/beyoru/Luna-Fusion-RP}}
}