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README.md

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----
-license: apache-2.0
----
+---
+language:
+- en
+- tr
+- de
+- fr
+- es
+- it
+- pt
+- ru
+- zh
+- ja
+- ko
+- hi
+- ar
+- nl
+- pl
+- uk
+- vi
+- th
+- id
+- cs
+license: mit
+tags:
+- global-ai
+- multilingual
+- vision-language-model
+- multimodal
+- lamapi
+- next-2-fast
+- next-series
+- 4b
+- efficient
+- gemma-3
+- transformer
+- text-generation
+- reasoning
+- artificial-intelligence
+- nlp
+pipeline_tag: image-text-to-text
+datasets:
+- mlabonne/FineTome-100k
+- ITCL/FineTomeOs
+- Gryphe/ChatGPT-4o-Writing-Prompts
+- dongguanting/ARPO-SFT-54K
+- OpenSPG/KAG-Thinker-training-dataset
+- uclanlp/Brief-Pro
+- CognitiveKernel/CognitiveKernel-Pro-SFT
+- QuixiAI/dolphin-r1
+library_name: transformers
+base_model:
+- thelamapi/next2-fast
+---
+
+![next2fs](https://cdn-uploads.huggingface.co/production/uploads/67d46bc5fe6ad6f6511d6f44/pBmNGgIkCDBwmh8Ut2UTf.png)
+
+[![Discord](https://cdn.modrinth.com/data/cached_images/e84c69448cbf878a167f996d63e1a253437fcea2.png)](https://discord.gg/XgH4EpyPD2)
+
+# ⚡ Next 2 Fast (4B)
+
+### *Global Speed, Multimodal Intelligence — Engineered by Lamapi* 
+
+[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
+[![Language: Multilingual](https://img.shields.io/badge/Language-Global-green.svg)]()
+[![HuggingFace](https://img.shields.io/badge/🤗-Lamapi/Next--2--Fast-orange.svg)](https://huggingface.co/Lamapi/next-2-fast)
+
+---
+
+## 🌍 Overview
+
+**Next 2 Fast** is a state-of-the-art **4-billion parameter Multimodal Vision-Language Model (VLM)** designed for high-performance reasoning across languages and modalities. 
+
+Developed by **Lamapi**, a leading AI research lab in Türkiye, this model represents a leap in efficiency, bridging the gap between massive commercial models and accessible, open-source intelligence. Built upon the **Gemma 3** architecture and refined with our proprietary SFT and DPO techniques, **Next 2 Fast** is not just a language model—it is a global reasoning engine that sees, understands, and communicates fluently in **English, Turkish, German, French, Spanish, and 25+ other languages.**
+
+**Why Next 2 Fast?**
+* ⚡ **Global Performance:** Tuned for complex reasoning in English and multilingual contexts, outperforming larger models.
+* 👁️ **Vision & Text:** Seamlessly processes images and text to generate code, descriptions, and analysis.
+* 🚀 **Unmatched Speed:** Optimized for low-latency inference, making it ~2x faster than previous generations.
+* 🔋 **Efficient Deployment:** Runs smoothly on consumer hardware (8GB VRAM) using 4-bit/8-bit quantization.
+
+---
+
+# 🏆 Benchmark Performance
+
+**Next 2 Fast** delivers flagship-level performance in a compact 4B size, proving that efficiency does not require sacrificing intelligence.
+
+<table>
+  <thead>
+    <tr>
+      <th>Model</th>
+      <th>Params</th>
+      <th>MMLU (5-shot) %</th>
+      <th>MMLU-Pro %</th>
+      <th>GSM8K %</th>
+      <th>MATH %</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr class="next" style="background-color: #e6f3ff; font-weight: bold;">
+      <td data-label="Model">⚡ Next 2 Fast</td>
+      <td>4B</td>
+      <td data-label="MMLU (5-shot) %">85.1</td>
+      <td data-label="MMLU-Pro %">67.4</td>
+      <td data-label="GSM8K %">83.5</td>
+      <td data-label="MATH %"><strong>71.2</strong></td>
+    </tr>
+    <tr>
+      <td data-label="Model">Gemma 3 4B</td>
+      <td>4B</td>
+      <td data-label="MMLU (5-shot) %">82.0</td>
+      <td data-label="MMLU-Pro %">64.5</td>
+      <td data-label="GSM8K %">80.1</td>
+      <td data-label="MATH %">68.0</td>
+    </tr>
+    <tr>
+      <td data-label="Model">Llama 3.2 3B</td>
+      <td>3B</td>
+      <td data-label="MMLU (5-shot) %">63.4</td>
+      <td data-label="MMLU-Pro %">52.1</td>
+      <td data-label="GSM8K %">45.2</td>
+      <td data-label="MATH %">42.8</td>
+    </tr>
+    <tr>
+      <td data-label="Model">Phi-3.5 Mini</td>
+      <td>3.8B</td>
+      <td data-label="MMLU (5-shot) %">84.0</td>
+      <td data-label="MMLU-Pro %">66.0</td>
+      <td data-label="GSM8K %">82.0</td>
+      <td data-label="MATH %">69.5</td>
+    </tr>
+  </tbody>
+</table>
+
+---
+
+## 🚀 Quick Start
+
+**Next 2 Fast** is fully compatible with the Hugging Face `transformers` library.
+
+### 🖼️ Multimodal Inference (Vision + Text):
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM, AutoProcessor
+from PIL import Image
+import torch
+
+model_id = "thelamapi/next2-fast"
+
+# Load Model & Processor
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, 
+    torch_dtype=torch.bfloat16, 
+    device_map="auto"
+)
+processor = AutoProcessor.from_pretrained(model_id)
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+# Load Image
+image = Image.open("image.jpg")
+
+# Create Multimodal Prompt
+messages = [
+  {
+    "role": "system",
+    "content": [{"type": "text", "text": "You are Next-2, an AI assistant created by Lamapi. Provide concise and accurate analysis."}]
+  },
+  {
+    "role": "user",
+    "content": [
+        {"type": "image", "image": image},
+        {"type": "text", "text": "Analyze this image and explain in English."}
+    ]
+  }
+]
+
+# Process & Generate
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = processor(text=prompt, images=[image], return_tensors="pt").to(model.device)
+
+output = model.generate(**inputs, max_new_tokens=128)
+print(tokenizer.decode(output[0], skip_special_tokens=True))
+```
+
+### 💬 Text-Only Chat (Global Reasoning):
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "Lamapi/next-2-fast"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+
+messages = [
+    {"role": "system", "content": "You are Next 2 Fast, an advanced AI assistant."},
+    {"role": "user", "content": "Explain the concept of entropy in thermodynamics simply."}
+]
+
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+
+output = model.generate(**inputs, max_new_tokens=200)
+print(tokenizer.decode(output[0], skip_special_tokens=True))
+```
+
+---
+
+## 🌐 Key Features
+
+| Feature | Description |
+| :--- | :--- |
+| **🌍 True Multilingualism** | Fluent in English, Turkish, German, French, Spanish, and more. No "translation-ese." |
+| **🧠 Visual Intelligence** | Can read charts, identify objects, and reason about visual scenes effectively. |
+| **⚡ High Efficiency** | Designed for speed. Ideal for edge devices, local deployment, and real-time apps. |
+| **💻 Code & Math** | Strong capabilities in Python coding, debugging, and solving mathematical problems. |
+| **🛡️ Global Alignment** | Fine-tuned with a diverse dataset to ensure safety and neutrality across cultures. |
+
+---
+
+## 🎯 Mission
+
+At **Lamapi**, our mission is to build the **Next** generation of intelligence that is accessible to everyone, everywhere. 
+
+**Next 2 Fast** proves that world-class AI innovation isn't limited to Silicon Valley. By combining efficient architecture with high-quality global datasets, we provide a powerful tool for researchers, developers, and businesses worldwide.
+
+---
+
+## 📄 License
+
+This model is open-sourced under the **MIT License**. It is free for academic and commercial use.
+
+---
+
+## 📞 Contact & Ecosystem
+
+We are **Lamapi**.
+
+* 📧 **Contact:** [Mail](mailto:lamapicontact@gmail.com)
+* 🤗 **HuggingFace:** [Company Page](https://huggingface.co/thelamapi)
+
+---
+
+> **Next 2 Fast** — *Global Intelligence. Lightning Speed. Powered by Lamapi.*
+
+[![Follow on HuggingFace](https://img.shields.io/badge/Follow-HuggingFace-yellow?logo=huggingface)](https://huggingface.co/Lamapi)