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🌌 The Mission: Sovereign STEM Intelligence

Experimentlab is a deep-tech research company building sovereign foundation models, efficient Small Language Models (SLMs), and air-gapped desktop workstations engineered specifically for physical engineers, roboticists, semiconductor designers, and mathematicians.

Led by Founder & Chief Architect Shreyansh Singh, our research bridges fundamental academic theory with sovereign edge execution:

• Zero Cloud Dependence: 100% offline, privacy-first execution on local laptops and workstations.
• Deterministic Mathematical Truth: Computer Algebra System (SymPy CAS) verification eliminating hallucinated calculus, ODEs, and physics.
• Sovereign Quantization: Pioneering Sparse Mixture of Experts (MoE) and 1.58-bit ternary {-1, 0, +1} BitNet quantization running natively on edge CPUs and NPUs.

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🏛️ The 5-Pillar Public AI Catalog

graph LR
    A["Raw STEM Corpora (1B+ Tokens, arXiv, Dolma)"] --> B["Vigyan Sovereign Pretraining"]
    B --> C["1. Frontier STEM SLMs (32B / 7B / 2B)"]
    B --> D["2. Advanced Architectures (MoE / 1.58-bit / GRPO)"]
    B --> E["3. Domain Mastery (RTL / Math / Biomed / Vidhi)"]
    C --> F["5. Edge GGUF Runtimes & Desktop Studios"]
    D --> F
    E --> F
    B --> G["4. Foundation Pretraining Datasets"]

1. 🚀 Frontier STEM & Dense SLMs

• Vigyan-AI-32B & Vigyan-AI-32B-Titan-v1: Flagship 32B Titan models for deep multi-step scientific deduction.
• Vigyan-7B-STEM-Instruct-v1 & Shreyansh-STEM-AI-7B-Final: High-performance 7B dense scientific models.
• Shreyansh-STEM-AI-2B-v3 (1,195+ downloads) & Shreyansh-STEM-AI-2B-v3-Distilled: Compact, battery-friendly edge SLMs.

2. 🌟 Advanced Architectures (MoE, 1.58-Bit Ternary, GRPO)

• Vigyan-1.5B-4x-MoE (1,669+ downloads): 4-expert routed Sparse MoE delivering 7B-class STEM reasoning at 1.5B inference latency.
• Vigyan-3B-4x-MoE (704+ downloads): Advanced Top-1 routing multi-expert model tuned for symbolic logic.
• vigyan-3b-1.58bit-qat: Pure 1.58-bit {-1, 0, +1} ternary BitNet model trained via Quantization-Aware Training (QAT). Replaces matrix multiplication with integer additions.
• vigyan-2b-reasoning-grpo: DeepSeek-style GRPO test-time reasoning SLM trained on mathematical and logical verification trees.
• vigyan-olmoe-1b-7b-masterpiece-adapter: Ai2 OLMoE sparse expert architecture.

3. 🔬 Doctoral & Domain-Specialized Intelligence

• olmo2-7b-silicon-rtl-eda: Hardware silicon EDA specialist for synthesizable IEEE 1364 Verilog RTL, FSMs, and synchronous timing circuits.
• olmo2-7b-phd-pure-math: Specialization in pure mathematics, formal topological proofs, and abstract algebra.
• olmo2-7b-biomed-chem: Deep biochemistry, enzyme kinetics, and molecular thermodynamics.
• olmo2-7b-astro-logic: Orbital mechanics, Hohmann transfers, and astrophysical physics.
• Vidhi-AI-Instruct: Sovereign Indian legal intelligence aligned with the Bharatiya Nyaya Sanhita (BNS).

4. 📚 Foundational Pretraining Corpora & Datasets

• shreyansh-1B-SLM-pretrain-stem-english: 1 Billion token foundation pretraining corpus balanced for cold-start STEM intelligence.
• shreyansh-hinglish-english-stem-500k: 500,000 sample bilingual Hinglish-English dataset tailored for Indian engineering students.
• vigyan-ai-research-papers: Curated corpus of scientific literature and verified technical preprints.

5. ⚡ Edge GGUF Runtimes & Workstation Integration

• Vigyan-Models-GGUF: Quantized GGUF binaries (Q4_K_M) engineered for local execution via llama.cpp and Ollama.
• vigyan-7b-moe-gguf: Edge quantized MoE binary.
• Vigyan Workstation: Open-source desktop engineering studio pairing these weights with 3D robotics kinematics, WaveDrom waveforms, and KiCad PCB netlists.

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⚖️ Intellectual Property & Strict Non-Commercial Licensing

All open-source models, benchmark suites, pretraining datasets, research whitepapers, and software released across the Vigyan / ExperimentLab ecosystem are strictly governed by the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license and the ExperimentLab Sovereign Community & Demilitarized License:

• Academic, Educational & Personal Research Use Only: Freely permitted for students, academic researchers, university coursework, self-hosting, and civilian scientific inquiry.
• Strictly Non-Commercial Prohibition: You may not sell, monetize, host as a paid API/SaaS wrapper, bundle with commercial hardware, or use for commercial advantage without prior written enterprise authorization from ExperimentLab AI.
• Demilitarized Civilian STEM Restriction: Strictly prohibited for military, defense, weapons research, autonomous combat, or surveillance systems.
• Commercial Enterprise Licensing: For commercial licensing, enterprise deployment, or institutional partnerships, contact contact@experimentlab.in.

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📜 Academic Attribution & Sovereign Citation

@article{singh2026vigyan,
  title={Vigyan Sovereign Trilogy: Empirical Scaling Laws and Deterministic Symbolic-AST Evaluation of Edge Small Language Models},
  author={Singh, Shreyansh},
  institution={Vigyan AI Open Research},
  journal={Vigyan AI Research Publications},
  year={2026},
  url={https://github.com/shreyansh001boy-tech/vigyan-sovereign-benchmark}
}

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