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