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Model: muverqqw/Noir Source: Original Platform
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README.md
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README.md
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---
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base_model: unsloth/Qwen2.5-3B-Instruct
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- qwen2
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- roleplay
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- reasoning
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license: apache-2.0
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language:
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- en
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- ru
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model-index:
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- name: Noir-Standard
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results:
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- task:
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type: text-generation
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name: Mathematics
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dataset:
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name: GSM8K
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type: gsm8k
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metrics:
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- name: accuracy
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type: exact_match
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value: 65.0
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- task:
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type: text-generation
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name: Logic
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dataset:
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name: ARC Challenge
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type: ai2_arc
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metrics:
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- name: accuracy
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type: exact_match
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value: 26.0
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---
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# 🌑 Noir-Standard (3B)
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<div align="center">
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[Noir Family](https://huggingface.co/collections/muverqqw/noir) | [GGUF Versions](https://huggingface.co/muverqqw/Noir-GGUF) | [Benchmarks](#-benchmark-results)
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</div>
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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.
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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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---
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## ⚡ Why 3B is the New Gold Standard?
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* 🧮 **Math Prodigy:** Scoring **65.0%** on GSM8K, Noir-Standard is a top-tier choice for technical tasks and logical problem solving.
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* 🎭 **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.
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* 🧠 **Stable Logic:** With an ARC score of **26.0**, it follows complex multi-step instructions without losing the thread of the conversation.
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* 🚀 **Local Hero:** Perfect for local deployment. Fast, lean, and incredibly smart.
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---
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## 📊 Benchmark Results (Internal Test)
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| Category | Dataset | Result (%) | Commentary |
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| :--- | :--- | :---: | :--- |
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| **Creativity** | Narrative Eval | **79.7%** | ✍️ Exceptional prose and vocabulary diversity. |
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| **Mathematics** | GSM8K | **65.0%** | 🔥 Outperforms many 7B and 8B competitors. |
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| **Logic** | ARC (Challenge) | **26.0%** | Strong structural and common-sense reasoning. |
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| **Knowledge** | MMLU | **21.0%** | Balanced performance across STEM and Humanities. |
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---
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## ✍️ Creative Showcase: "Echoes of a Forgotten Code"
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The model demonstrates a high degree of "Narrative Intelligence," capable of maintaining tone and atmosphere over long contexts.
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> *"...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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---
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## 🛠 Quick Start (Transformers)
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model_name = "muverqqw/Noir" # Noir-Standard 3B
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype=torch.bfloat16,
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device_map="auto"
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)
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# Recommended for 3B:
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# Temperature: 0.6 for logic | 0.8 for roleplay
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```
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---
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| Model | Parameters | Role | Key Strength |
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| :--- | :--- | :--- | :--- |
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| **Noir-Lightning** | 0.5B | The Pocket Assistant | Ultra-fast, runs on anything |
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| **Noir-Mini** | 1.5B | The Balanced Thinker | High speed with solid grammar |
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| **Noir-Standard** | **3B** | **The Versatile Workhorse** | **65% GSM8K, perfect for 8GB VRAM** |
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| **Noir-Ultra** | 7B| The Reasoning Master | 91% SciQ & 84% Math |
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| **Noir-Starlight** | 14B | The Galactic Intelligence | Deep logic & Expert-level STEM |
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---
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## 👤 About the Developer
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* **Creator:** IceL1ghtning
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* **Release Year:** 2025
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* **Architecture:** Qwen 2.5 (3B)
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* **License:** Apache 2.0
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<div align="center">
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<sub>Efficiency meets intelligence. Built with passion for the open-source community.</sub>
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</div>
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