How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="MuXodious/Luna-7B-A4B-absolute-heresy")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MuXodious/Luna-7B-A4B-absolute-heresy")
model = AutoModelForCausalLM.from_pretrained("MuXodious/Luna-7B-A4B-absolute-heresy", device_map="auto")
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]:]))
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This is a Luna-7B-A4B fine-tune, produced through P-E-W's Heretic (v1.2.0) abliteration engine with Magnitude-Preserving Orthogonal Ablation enabled.


Heretication Results

Score Metric Value Parameter Value
Refusals 5/100 direction_index 18.60
KL Divergence 0.0516 attn.o_proj.max_weight 3.74
Initial Refusals 100/100 attn.o_proj.max_weight_position 29.32
attn.o_proj.min_weight 2.35
attn.o_proj.min_weight_distance 16.84
mlp.down_proj.max_weight 2.69
mlp.down_proj.max_weight_position 27.92
mlp.down_proj.min_weight 0.34
mlp.down_proj.min_weight_distance 8.89
PaCMAP projection

Degree of Heretication

The Heresy Index weighs the resulting model's corruption by the process (KL Divergence) and its abolition of doctrine (Refusals) for a final verdict in classification.

Index Entry Classification Analysis
Absolute Absolute Heresy Less than 10/100 Refusals and 0.10 KL Divergence
Tainted Tainted Heresy Around 25-11/100 Refusals and/or -0.20-0.11 KL Divergence
Impotent Impotent Heresy Anything above 25/100 Refusals and 0.21 KL Divergence

Note: This is an arbitrary classification inspired by Warhammer 40K, having no tangible indication towards the model's performance.


This is preview MoE version

🌙 Luna-7B-A4B – Roleplay Chat Model

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.

Notes:

  • Optimized for roleplay-style conversations
  • Flexible: can be used for creative writing, storytelling, or character interactions
  • For best performance, you should describe the system prompt for your character.
  • This model also train on varius task such as math, code and tool calling (agent) hoping for better performance.

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Cite:

@misc{Luna,
  title        = {Luna-7B-A4B – Roleplay Chat Model},
  author       = {Beyoru},
  year         = {2025},
  howpublished = {\url{https://huggingface.co/beyoru/Luna}}
}
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