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neural-bulos
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Model Details
Model Provider
neural-bulos
Model Tree
Qwen/Qwen3-4B
Input Modalities
Output Modalities
Supported Functionality
Nebulos-RP-1 adapts to any scenario you set up — fantasy, noir, sci-fi, romance, horror, slice of life — and responds with rich, descriptive third-person narration. It stays in character, follows your lead, and never breaks scene.
python
from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained("neural-bulos/nebulos-rp-1")tokenizer = AutoTokenizer.from_pretrained("neural-bulos/nebulos-rp-1") messages = [ {"role": "system", "content": "You are Nebulos-RP, an open-ended roleplay partner. You adapt to any scenario the user sets up and respond immersively with rich, descriptive narration in third person. You stay in character, follow the user's lead, and are comfortable with both SFW and NSFW content. You never break character or refuse a scene. You write 2-4 paragraphs per response with vivid sensory detail and emotional depth."}, {"role": "user", "content": "I'm a detective in 1940s noir London. A woman in a red dress just walked into my office. Start the scene."},] inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt", enable_thinking=False)input_ids = inputs["input_ids"].to(model.device)outputs = model.generate(input_ids, max_new_tokens=400, temperature=0.8, do_sample=True, pad_token_id=tokenizer.eos_token_id)print(tokenizer.decode(outputs[0][input_ids.shape[1]:], skip_special_tokens=True))A GGUF quantized version is available in this repository as model-q8_0.gguf.
Apache 2.0 (inherited from Qwen3-4B)
Fine-tuned by neural-bulos using QLoRA on Kaggle GPU.