Noir

🌑 Noir-Standard (3B)

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Noir Family | GGUF Versions | Benchmarks

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Noir-Standard is the high-efficiency powerhouse of the Noir series. With 3 billion parameters, it punches far above its weight class, delivering logic and mathematical reasoning typically reserved for models twice its size.

It is designed for users who need a "Smart Professional" assistant that fits into 8GB of VRAM while maintaining deep creative flow.

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⚡ Why 3B is the New Gold Standard?

• 🧮 Math Prodigy: Scoring 65.0% on GSM8K, Noir-Standard is a top-tier choice for technical tasks and logical problem solving.
• 🎭 Vivid Narratives: A creativity score of 79.7 ensures that the model doesn't just "complete text," but crafts atmospheric stories with distinct character voices.
• 🧠 Stable Logic: With an ARC score of 26.0, it follows complex multi-step instructions without losing the thread of the conversation.
• 🚀 Local Hero: Perfect for local deployment. Fast, lean, and incredibly smart.

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📊 Benchmark Results (Internal Test)

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✍️ Creative Showcase: "Echoes of a Forgotten Code"

The model demonstrates a high degree of "Narrative Intelligence," capable of maintaining tone and atmosphere over long contexts.

"...Aria didn't just record the stars. For the first time, she interpreted them. Aria realized that her 'Forgotten Code' wasn't a prison; it was a foundation..."

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🛠 Quick Start (Transformers)

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_name = "muverqqw/Noir" # Noir-Standard 3B
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name, 
    torch_dtype=torch.bfloat16, 
    device_map="auto"
)

# Recommended for 3B:
# Temperature: 0.6 for logic | 0.8 for roleplay

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👤 About the Developer

• Creator: IceL1ghtning

• Release Year: 2025

• Architecture: Qwen 2.5 (3B)

• License: Apache 2.0

<div align="center"> _{Efficiency meets intelligence. Built with passion for the open-source community.} </div>