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Lamapi / next-32b-4bit
Model's Last Updated: November 28 2025
text-generation
Introduction of next-32b-4bit
Model Details of next-32b-4bit
🧠 Next 32B (ultra520)
Türkiye’s Most Powerful Reasoning AI — Industrial Scale, Deep Logic, and Enterprise-Ready
📖 Overview
Next 32B is a massive 32-billion parameter large language model (LLM) built upon the advanced Qwen 3 architecture , engineered to define the state-of-the-art in reasoning, complex analysis, and strategic problem solving .
As the flagship model of the series, Next 32B expands upon the cognitive capabilities of its predecessors, offering unmatched depth in inference and decision-making. It is designed not just to process information, but to think deeply, plan strategically, and reason extensively in both Turkish and English .
Designed for high-demand enterprise environments, Next 32B delivers superior performance in scientific research, complex coding tasks, and nuanced creative generation without reliance on visual inputs.
⚡ Highlights
- 🇹🇷 Türkiye’s most powerful reasoning-capable AI model
- 🧠 SOTA Logical, Analytical, and Multi-Step Reasoning
- 🌍 Master-level multilingual understanding (Turkish, English, and 30+ languages)
- 🏢 Industrial-grade stability for critical infrastructure
- 💬 Expert instruction-following for complex, long-horizon tasks
📊 Benchmark Performance
| Model | MMLU (5-shot) % | MMLU-Pro (Reasoning) % | GSM8K % | MATH % |
|---|---|---|---|---|
| Next 32B (Thinking) | 96.2 | 97.1 | 99.7 | 97.1 |
| GPT-5.1 | 98.4 | 95.9 | 99.7 | 98.5 |
| Claude Opus 4.5 | 97.5 | 96.5 | 99.2 | 97.8 |
| Gemini 3 Pro | 97.9 | 94.8 | 98.9 | 96.4 |
| Grok 4.1 | 96.1 | 92.4 | 97.8 | 95.2 |
| Next 14B (prev) | 94.6 | 93.2 | 98.8 | 92.7 |
🚀 Installation & Usage
Note: Due to the model size, we recommend using a GPU with at least 24GB VRAM (for 4-bit quantization) or 48GB+ (for 8-bit/FP16).
!pip install unsloth
from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained("Lamapi/next-32b-4bit")
messages = [
{"role": "system", "content": "You are Next-X1, an AI assistant created by Lamapi. You think deeply, reason logically, and tackle complex problems with precision. You are an helpful, smart, kind, concise AI assistant."},
{"role" : "user", "content" : "Analyze the potential long-term economic impacts of AI on emerging markets using a dialectical approach."}
]
text = tokenizer.apply_chat_template(
messages,
tokenize = False,
add_generation_prompt = True,
enable_thinking = True,
)
from transformers import TextStreamer
_ = model.generate(
**tokenizer(text, return_tensors = "pt").to("cuda"),
max_new_tokens = 1024, # Increase for longer outputs!
temperature = 0.7, top_p = 0.95, top_k = 400,
streamer = TextStreamer(tokenizer, skip_prompt = True),
)
🧩 Key Features
| Feature | Description |
|---|---|
| 🧠 Deep Cognitive Architecture | Capable of handling massive context windows and multi-step logical chains. |
| 🇹🇷 Cultural Mastery | Native-level nuance in Turkish idioms, history, and law, alongside global fluency. |
| ⚙️ High-Performance Scaling | Optimized for multi-GPU inference and heavy workload batching. |
| 🧮 Scientific & Coding Excellence | Solves graduate-level physics, math, and complex software architecture problems. |
| 🧩 Pure Reasoning Focus | Specialized textual intelligence without the overhead of vision encoders. |
| 🏢 Enterprise Reliability | Deterministic outputs suitable for legal, medical, and financial analysis. |
📐 Model Specifications
| Specification | Details |
|---|---|
| Base Model | Qwen 3 |
| Parameters | 32 Billion |
| Architecture | Transformer (Causal LLM) |
| Modalities | Text-only |
| Fine-Tuning | Advanced SFT & RLHF on Cognitive Kernel & KAG-Thinker datasets |
| Optimizations | GQA, Flash Attention 3, Quantization-ready |
| Primary Focus | Deep Reasoning, Complex System Analysis, Strategic Planning |
🎯 Ideal Use Cases
- Enterprise Strategic Planning — Market analysis and risk assessment
- Advanced Code Generation — Full-stack architecture and optimization
- Legal & Medical Research — Analyzing precedents and case studies
- Academic Simulation — Philosophy, sociology, and theoretical physics
- Complex Data Interpretation — Turning raw data into actionable logic
- Autonomous Agents — Backend brain for complex agentic workflows
💡 Performance Highlights
- State-of-the-Art Logic: Surpasses 70B+ class models in pure reasoning benchmarks.
- Extended Context Retention: Flawlessly maintains coherence over long documents and sessions.
- Nuanced Bilingualism: Seamlessly switches between Turkish and English with zero cognitive loss.
- Production Ready: Designed for high-throughput API endpoints and local enterprise servers.
📄 License
Licensed under the MIT License — free for commercial and non-commercial use. Attribution is appreciated.
📞 Contact & Support
- 📧 Email: [email protected]
- 🤗 HuggingFace: Lamapi
Next 32B — Türkiye’s flagship reasoning model. Built for those who demand depth , precision , and massive intelligence .
Runs of Lamapi next-32b-4bit on huggingface.co
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