| Category | Dataset | Result (%) | Commentary |
|---|---|---|---|
| Creativity | Narrative Eval | 79.7% | ✍️ Exceptional prose and vocabulary diversity. |
| Mathematics | GSM8K | 65.0% | 🔥 Outperforms many 7B and 8B competitors. |
| Logic | ARC (Challenge) | 26.0% | Strong structural and common-sense reasoning. |
| Knowledge | MMLU | 21.0% | Balanced performance across STEM and Humanities. |
"...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..."
1from transformers import AutoModelForCausalLM, AutoTokenizer
2import torch
3
4model_name = "muverqqw/Noir" # Noir-Standard 3B
5tokenizer = AutoTokenizer.from_pretrained(model_name)
6model = AutoModelForCausalLM.from_pretrained(
7 model_name,
8 torch_dtype=torch.bfloat16,
9 device_map="auto"
10)
11
12# Recommended for 3B:
13# Temperature: 0.6 for logic | 0.8 for roleplay| Model | Parameters | Role | Key Strength |
|---|---|---|---|
| Noir-Lightning | 0.5B | The Pocket Assistant | Ultra-fast, runs on anything |
| Noir-Mini | 1.5B | The Balanced Thinker | High speed with solid grammar |
| Noir-Standard | 3B | The Versatile Workhorse | 65% GSM8K, perfect for 8GB VRAM |
| Noir-Ultra | 7B | The Reasoning Master | 91% SciQ & 84% Math |
| Noir-Starlight | 14B | The Galactic Intelligence | Deep logic & Expert-level STEM |