thelamapi/next-14b
<img src='assets/banner.png'>
๐ง Next 14B (l310)
Tรผrkiyeโs First Reasoning-Capable AI Model โ Logical, Analytical, and Enterprise-Ready
 ![Language: Multilingual]()  
๐ 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 Tรผrkiyeโs first reasoning-capable AI model, designed to think, infer, and make decisions โ 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.
โก Highlights
- ๐น๐ท Tรผrkiyeโs first reasoning-capable AI model
- ๐ง Advanced logical, analytical, and inferential reasoning
- ๐ High multilingual understanding (Turkish, English, and beyond)
- ๐ข Enterprise-grade stability and consistency
- ๐ฌ Instruction-tuned for dialogue, problem solving, and analysis
๐ Benchmark Performance
<table> <thead> <tr> <th>Model</th> <th>MMLU (5-shot) %</th> <th>MMLU-Pro %</th> <th>GSM8K %</th> <th>MATH %</th> </tr> </thead> <tbody> <tr> <td><strong>Next 14B (Thinking)</strong></td> <td><strong>94.6</strong></td> <td><strong>93.2</strong></td> <td><strong>98.8</strong></td> <td>92.7</td> </tr> <tr> <td>Next 12B</td> <td>92.7</td> <td>84.4</td> <td>95.3</td> <td>87.2</td> </tr> <tr class="next"> <td>Next 8B (Thinking)</td> <td>91.0</td> <td>88.5</td> <td>96.2</td> <td>88.0</td> </tr> <tr> <td>GPT-5</td> <td>92.5</td> <td>87.0</td> <td>98.4</td> <td><strong>96.0</strong></td> </tr> <tr> <td>Claude Opus 4.1 (Thinking)</td> <td>~92.0</td> <td>87.8</td> <td>84.7</td> <td>95.4</td> </tr> </tbody> </table>
๐ Installation & Usage
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))๐งฉ Key Features
๐ Model Specifications
๐ฏ Ideal Use Cases
- Analytical Chatbots for business and enterprise logic
- Research Assistance โ scientific, legal, or data-heavy reasoning
- Education & Tutoring โ explain concepts step-by-step
- Creative Writing โ coherent story logic and worldbuilding
- Code & Algorithm Design โ reasoning-based code generation
- Decision Support Systems โ scenario evaluation and inference
๐ก 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.
๐ License
Licensed under the MIT License โ free for commercial and non-commercial use. Attribution is appreciated.
๐ Contact & Support
- ๐ง Email: lamapicontact@gmail.com
- ๐ค HuggingFace: Lamapi
Next 14B โ Tรผrkiyeโs first reasoning-capable large language model, combining logical depth, analytical intelligence, and enterprise reliability.

