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Lamapi / next-14b
Model's Last Updated: November 10 2025
text-generation
Introduction of next-14b
Model Details of next-14b
🧠 Next 14B (l310)
Türkiye’s First Reasoning-Capable AI Model — Logical, Analytical, and Enterprise-Ready
📖 Overview
Next 14B
is a
14-billion parameter large language model (LLM)
built upon
Gemma 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 |
| 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
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: [email protected]
- 🤗 HuggingFace: Lamapi
Next 14B — Türkiye’s first reasoning-capable large language model, combining logical depth , analytical intelligence , and enterprise reliability .
Runs of Lamapi next-14b on huggingface.co
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