CoolFace
Modelpublic

thelamapi/next-14b

sourceHugging Facemitupdated 7mo agoView on Hugging Face
3likes35downloads
Model Card

<img src='assets/banner.png'>

๐Ÿง  Next 14B (l310)

Tรผrkiyeโ€™s First Reasoning-Capable AI Model โ€” Logical, Analytical, and Enterprise-Ready

![License: MIT](https://opensource.org/licenses/MIT) ![Language: Multilingual]() ![HuggingFace](https://huggingface.co/Lamapi/next-14b) ![Discord](https://discord.gg/XgH4EpyPD2)


๐Ÿ“– 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 Tรผrkiyeโ€™s 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.


โšก Highlights

  • โ€”๐Ÿ‡น๐Ÿ‡ท Tรผrkiyeโ€™s first reasoning-capable AI model
  • โ€”๐Ÿง  Advanced logical, analytical, and inferential reasoning
  • โ€”๐ŸŒ High multilingual understanding (Turkish, English, and beyond)
  • โ€”๐Ÿข Enterprise-grade stability and consistency
  • โ€”๐Ÿ’ฌ Instruction-tuned for dialogue, problem solving, and analysis

๐Ÿ“Š 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>


๐Ÿš€ 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))

๐Ÿงฉ Key Features

FeatureDescription
๐Ÿง  Advanced ReasoningExcels in abstract logic, critical thinking, and long-form analysis.
๐Ÿ‡น๐Ÿ‡ท Cultural & Multilingual IntelligenceDeep Turkish understanding, alongside fluent English and 30+ languages.
โš™๏ธ Optimized for EfficiencyAvailable in quantized formats (Q80, Q4K_M, FP16).
๐Ÿงฎ Mathematical & Analytical SkillPerforms exceptionally in structured problem solving and scientific reasoning.
๐Ÿงฉ Non-Vision ArchitectureFocused purely on cognitive and linguistic understanding.
๐Ÿข Enterprise ReliabilityConsistent, interpretable outputs for professional use cases.

๐Ÿ“ Model Specifications

SpecificationDetails
Base ModelQwen 3
Parameters14 Billion
ArchitectureTransformer (Causal LLM)
ModalitiesText-only
Fine-TuningInstruction-tuned and reinforced with cognitive reasoning datasets
OptimizationsQuantization-ready, FP16 support
Primary FocusReasoning, logic, decision-making, and language understanding

๐ŸŽฏ Ideal Use Cases

  • โ€”Analytical Chatbots for business and enterprise logic
  • โ€”Research Assistance โ€” scientific, legal, or data-heavy reasoning
  • โ€”Education & Tutoring โ€” explain concepts step-by-step
  • โ€”Creative Writing โ€” coherent story logic and worldbuilding
  • โ€”Code & Algorithm Design โ€” reasoning-based code generation
  • โ€”Decision Support Systems โ€” scenario evaluation and inference

๐Ÿ’ก Performance Highlights

  • โ€”Superior Reasoning: Outperforms previous-generation 12B models in logic-based benchmarks.
  • โ€”Robust Mathematical Understanding: Handles symbolic reasoning and complex equations.
  • โ€”Consistent Long-Context Memory: Capable of tracking context across multi-turn conversations.
  • โ€”Professional Reliability: Built for critical enterprise and research applications.

๐Ÿ“„ License

Licensed under the MIT License โ€” free for commercial and non-commercial use. Attribution is appreciated.


๐Ÿ“ž Contact & Support


Next 14B โ€” Tรผrkiyeโ€™s first reasoning-capable large language model, combining logical depth, analytical intelligence, and enterprise reliability.

![Follow on HuggingFace](https://huggingface.co/Lamapi)