thelamapi/next-70b

🚀 Next 70B (ultra1295)

Türkiye’s Most Powerful AI — Industrial Scale, High Precision, and Enterprise-Ready

 ![Language: Multilingual]()  

📖 Overview

Next 70B is a state-of-the-art 70-billion parameter large language model (LLM) engineered for maximum accuracy, versatility, and instruction following. Built upon an optimized transformer architecture, it delivers SOTA performance across coding, mathematics, and creative writing tasks.

As the flagship model of the series, Next 70B is designed to handle the most demanding enterprise workloads. It excels at nuanced language understanding in Turkish and English, complex data processing, and generating production-grade code, making it a superior alternative to proprietary models.

⚡ Highlights

• —🇹🇷 Türkiye’s most powerful open-weights AI model
• —🏆 Top-tier Performance: Beats GPT-5.1 in MATH (99.0%) and achieves near-perfect GSM8K scores.
• —🌍 Master-level multilingual understanding (Turkish, English, and 30+ languages)
• —💻 Coding Specialist: Exceptional Python and JavaScript generation capabilities (HumanEval 97.8%).
• —🏢 Industrial-grade stability for critical infrastructure
• —📝 Precise Instruction Following: High IFEval score (95.0) ensures strict adherence to formatting and constraints.

📊 Benchmark Performance

Next 70B demonstrates world-class performance, surpassing major competitors in key academic and industrial benchmarks.

🚀 Installation & Usage

Note: We recommend using a multi-GPU setup (e.g., 2x A100 80GB) for full precision or 48GB+ VRAM for 4-bit quantization.

!pip install unsloth

from unsloth import FastLanguageModel

model, tokenizer = FastLanguageModel.from_pretrained("Lamapi/next-70b")

messages = [
    {"role": "system", "content": "You are Next-X1, a helpful, smart, and precise AI assistant created by Lamapi."},
    {"role" : "user", "content" : "Write a Python script to optimize a neural network using PyTorch."}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize = False,
    add_generation_prompt = True
)

from transformers import TextStreamer
_ = model.generate(
    **tokenizer(text, return_tensors = "pt").to("cuda"),
    max_new_tokens = 2048,
    temperature = 0.7, top_p = 0.95, top_k = 400,
    streamer = TextStreamer(tokenizer, skip_prompt = True),
)

🧩 Key Features

📐 Model Specifications

🎯 Ideal Use Cases

• —Enterprise Assistants — Customer support and internal knowledge management
• —Advanced Code Generation — Full-stack development and debugging
• —Content Creation — High-quality marketing copy, emails, and reports
• —Translation & Localization — Highly accurate translation between Turkish/English
• —Data Extraction — Structuring unstructured data into JSON/SQL
• —Academic Assistance — Solving math problems and summarizing research papers

📄 License

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

📞 Contact & Support

• —📧 Email: lamapicontact@gmail.com
• —🤗 HuggingFace: Lamapi

Next 70B — Türkiye’s flagship AI model. Built for those who demand accuracy, speed, and scale.