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Model: muverqqw/Noir
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: unsloth/Qwen2.5-3B-Instruct
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen2
+- roleplay
+- reasoning
+license: apache-2.0
+language:
+- en
+- ru
+model-index:
+- name: Noir-Standard
+  results:
+  - task:
+      type: text-generation
+      name: Mathematics
+    dataset:
+      name: GSM8K
+      type: gsm8k
+    metrics:
+    - name: accuracy
+      type: exact_match
+      value: 65.0
+  - task:
+      type: text-generation
+      name: Logic
+    dataset:
+      name: ARC Challenge
+      type: ai2_arc
+    metrics:
+    - name: accuracy
+      type: exact_match
+      value: 26.0
+---
+# 🌑 Noir-Standard (3B)
+
+<div align="center">
+
+[Noir Family](https://huggingface.co/collections/muverqqw/noir) | [GGUF Versions](https://huggingface.co/muverqqw/Noir-GGUF) | [Benchmarks](#-benchmark-results)
+
+</div>
+
+**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.
+
+---
+
+## ⚡ 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.
+
+---
+
+## 📊 Benchmark Results (Internal Test)
+
+| 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. |
+
+---
+
+## ✍️ 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..."*
+
+---
+
+## 🛠 Quick Start (Transformers)
+
+```python
+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
+```
+
+---
+
+| 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 |
+
+---
+
+## 👤 About the Developer
+* **Creator:** IceL1ghtning
+
+* **Release Year:** 2025
+
+* **Architecture:** Qwen 2.5 (3B)
+
+* **License:** Apache 2.0
+
+<div align="center">
+<sub>Efficiency meets intelligence. Built with passion for the open-source community.</sub>
+</div>

added_tokens.json

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chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
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+  "max_position_embeddings": 32768,
+  "max_window_layers": 70,
+  "model_type": "qwen2",
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+  "num_key_value_heads": 2,
+  "pad_token_id": 151654,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.3",
+  "unsloth_fixed": true,
+  "unsloth_version": "2025.12.5",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

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special_tokens_map.json

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+{
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+    "<|im_end|>",
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+    "normalized": false,
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+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896

tokenizer_config.json

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+}