💠 SKT AI 💠

SKT AI is a cutting-edge research and development hub dedicated to pushing the boundaries of machine learning and neural architecture. Led by Shrijan Kumar Tiwari, the lab focuses on creating high-performance models that are faster, smarter, and more efficient.

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⚡ THE APEX OF PERFORMANCE: SKT SURYA (22T)

The Surya series represents a major leap in balancing massive scale with localized precision.

🚀 1. Performance & Inference Speed

• High-Speed Throughput: Capable of delivering 110+ tokens per second on standard optimized setups.
• Low Latency: Maintains real-time responsiveness ideal for enterprise-level deployments.

🇮🇳 2. Contextual Nuance (The Indian Edge)

• Linguistic Mastery: Beyond simple translation; it masters local slang, idioms, and cultural references of the Indian subcontinent.
• Benchmark Superiority: Excels where global models fail due to specialized localized training data.

🛠️ 3. Architectural Optimization & VRAM Efficiency

• Smart Engineering: Optimized to run on 24GB–32GB GPUs (like RTX 3090/4090), whereas similar models require 40GB+.
• Accessible Power: High-tier AI performance now runs on consumer-grade enterprise hardware.

🎯 4. The "100% Accuracy" Mandate

• Zero-Hallucination Focus: Advanced instruction-following and fine-tuning to eliminate errors.
• Technical Precision: Perfect reliability for coding, math, and complex logic tasks.

📂 MODEL SPECIFICATIONS

• Model Type: sᴋᴛ
• Specialization: Advanced Coding, Logic, and Hinglish Mastery
• Base Framework: SKT_ST-X-0
• Quantization: GGUF, EXL2, AWQ
• Main Dataset: 10M+ Hinglish Dataset (100x Reasoning, 10x Deeper Coding)

📊 PERFORMANCE BENCHMARKS

🔗 EXPLORE THE MODELS

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