# 🧠 Next 14B (l310) ### *Türkiye’s First Reasoning-Capable AI Model — Logical, Analytical, and Enterprise-Ready* [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![Language: Multilingual](https://img.shields.io/badge/Language-Multilingual-red.svg)]() [![HuggingFace](https://img.shields.io/badge/🤗-Lamapi/Next--14B-orange.svg)](https://huggingface.co/Lamapi/next-14b) --- ## 📖 Overview **Next 14B** is a **14-billion parameter large language model (LLM)** built upon **Qwen 3 architecture**, trained to achieve **superior reasoning and analytical capabilities**. It is **Türkiye’s first reasoning-capable AI model**, designed to think, infer, and make decisions — **not just respond**. Unlike vision-based models, **Next 14B focuses on pure cognitive performance**, mastering complex problem solving, abstract logic, and human-level understanding in both **Turkish and English**. --- ## ⚡ Highlights - 🇹🇷 **Türkiye’s first reasoning-capable AI model** - 🧠 **Advanced logical, analytical, and inferential reasoning** - 🌍 **High multilingual understanding (Turkish, English, and beyond)** - 🏢 **Enterprise-grade stability and consistency** - 💬 **Instruction-tuned for dialogue, problem solving, and analysis** --- ## 📊 Benchmark Performance

Model	MMLU (5-shot) %	MMLU-Pro %	GSM8K %	MATH %
Next 14B (Thinking)	94.6	93.2	98.8	92.7
Next 12B	92.7	84.4	95.3	87.2
Next 8B (Thinking)	91.0	88.5	96.2	88.0
GPT-5	92.5	87.0	98.4	96.0
Claude Opus 4.1 (Thinking)	~92.0	87.8	84.7	95.4

--- ## 🚀 Installation & Usage ```python from transformers import AutoTokenizer, AutoModelForCausalLM import torch model_id = "Lamapi/next-14b" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto") messages = [ {"role": "system", "content": "You are Next-X1, a reasoning-capable AI assistant created by Lamapi. You think deeply, reason logically, and always answer concisely. Proudly made in Turkey."}, {"role": "user", "content": "Explain why the sky appears blue using logical reasoning."} ] prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) inputs = tokenizer(prompt, return_tensors="pt").to(model.device) outputs = model.generate(**inputs, max_new_tokens=150) print(tokenizer.decode(outputs[0], skip_special_tokens=True)) ```` --- ## 🧩 Key Features | Feature | Description | | --------------------------------------------- | ------------------------------------------------------------------------------ | | 🧠 **Advanced Reasoning** | Excels in abstract logic, critical thinking, and long-form analysis. | | 🇹🇷 **Cultural & Multilingual Intelligence** | Deep Turkish understanding, alongside fluent English and 30+ languages. | | ⚙️ **Optimized for Efficiency** | Available in quantized formats (Q8_0, Q4_K_M, FP16). | | 🧮 **Mathematical & Analytical Skill** | Performs exceptionally in structured problem solving and scientific reasoning. | | 🧩 **Non-Vision Architecture** | Focused purely on cognitive and linguistic understanding. | | 🏢 **Enterprise Reliability** | Consistent, interpretable outputs for professional use cases. | --- ## 📐 Model Specifications | Specification | Details | | ----------------- | ------------------------------------------------------------------ | | **Base Model** | Qwen 3 | | **Parameters** | 14 Billion | | **Architecture** | Transformer (Causal LLM) | | **Modalities** | Text-only | | **Fine-Tuning** | Instruction-tuned and reinforced with cognitive reasoning datasets | | **Optimizations** | Quantization-ready, FP16 support | | **Primary Focus** | Reasoning, logic, decision-making, and language understanding | --- ## 🎯 Ideal Use Cases * **Analytical Chatbots** for business and enterprise logic * **Research Assistance** — scientific, legal, or data-heavy reasoning * **Education & Tutoring** — explain concepts step-by-step * **Creative Writing** — coherent story logic and worldbuilding * **Code & Algorithm Design** — reasoning-based code generation * **Decision Support Systems** — scenario evaluation and inference --- ## 💡 Performance Highlights * **Superior Reasoning:** Outperforms previous-generation 12B models in logic-based benchmarks. * **Robust Mathematical Understanding:** Handles symbolic reasoning and complex equations. * **Consistent Long-Context Memory:** Capable of tracking context across multi-turn conversations. * **Professional Reliability:** Built for critical enterprise and research applications. --- ## 📄 License Licensed under the **MIT License** — free for commercial and non-commercial use. Attribution is appreciated. --- ## 📞 Contact & Support * 📧 **Email:** [lamapicontact@gmail.com](mailto:lamapicontact@gmail.com) * 🤗 **HuggingFace:** [Lamapi](https://huggingface.co/Lamapi) --- > **Next 14B** — Türkiye’s first *reasoning-capable* large language model, combining **logical depth**, **analytical intelligence**, and **enterprise reliability**. [![Follow on HuggingFace](https://img.shields.io/badge/Follow-HuggingFace-yellow?logo=huggingface)](https://huggingface.co/Lamapi) ```