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  1. README.md +66 -39
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  ### Sovereign Artificial Intelligence for Science, Technology, Engineering & Mathematics (STEM)
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  [![Official Website](https://img.shields.io/badge/Official_Website-experimentlab.in-2563eb?style=for-the-badge&logo=googlechrome&logoColor=white)](https://experimentlab.in)
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- [![GitHub Org](https://img.shields.io/badge/GitHub_Org-Vigyan--workstation-10b981?style=for-the-badge&logo=github&logoColor=white)](https://github.com/Vigyan-workstation)
 
 
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  [![Discord Guild](https://img.shields.io/badge/Discord-Join_The_Guild-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.com/invite/Jck3tD6mhf)
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- [![Workstation Release](https://img.shields.io/badge/Vigyan_Workstation-v1.0.0_Live-7c3aed?style=for-the-badge&logo=linux&logoColor=white)](https://experimentlab.in/desktop)
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  > *"Here’s to the rebels who build real things in the physical world. The ones who refuse to rent their intelligence by the token. Who pull the plug and keep calculating."*
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  ---
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- ## 🌌 The Mission: Open Foundation STEM Intelligence
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- **Experimentlab** is dedicated to building sovereign, open-weights foundation models, efficient Small Language Models (SLMs), and offline workstations designed specifically for **physical engineers, mathematicians, roboticists, and researchers**.
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- We bridge deep academic theory with extreme computational efficiency:
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- * **Zero Cloud Dependence**: 100% offline, privacy-first execution on consumer laptops and edge devices.
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- * **Mathematical Exactitude**: Deterministic CAS (Computer Algebra System) verification for symbolic calculus, linear algebra, and discrete math.
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- * **Sovereign Efficiency**: Pioneering Sparse Mixture-of-Experts (MoE) and 1.58-bit ternary {-1, 0, +1} BitNet quantization running natively on CPUs and NPUs.
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  ---
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- ## 🏛️ Flagship Model Architectures
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  ```mermaid
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  graph LR
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- A["Raw STEM Corpora (Ai2 Dolma, SymPy CAS, arXiv)"] --> B["Vigyan Sovereign Pretraining"]
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- B --> C["Vigyan MoE (1.5B - 3B 4x Experts)"]
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- B --> D["BitNet 1.58-Bit Ternary QAT"]
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- B --> E["Doctoral STEM Series (7B - 32B)"]
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- C --> F["Edge CPU & NPU (GGUF / bitnet.cpp)"]
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  D --> F
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- E --> G["Vigyan Pro Workstation"]
 
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  ```
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- ### 1. 🌟 Sparse Mixture of Experts (MoE)
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- * **[`Vigyan-1.5B-4x-MoE`](https://huggingface.co/Experimentlab/Vigyan-1.5B-4x-MoE)**: Ultra-fast 4-expert routed SLM delivering 7B-class STEM reasoning at a fraction of inference memory.
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- * **[`Vigyan-3B-4x-MoE`](https://huggingface.co/Experimentlab/Vigyan-3B-4x-MoE)**: Advanced multi-expert router tuned on symbolic logic and scientific problem-solving.
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-
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- ### 2. ⚡ 1.58-Bit Ternary BitNet Architectures
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- * **[`vigyan-3b-1.58bit-qat`](https://huggingface.co/Experimentlab/vigyan-3b-1.58bit-qat)**: Pure 1.58-bit weights {-1, 0, +1} trained via Quantization-Aware Training (QAT). Eliminates power-hungry matrix multiplication in favor of integer addition, enabling offline execution on low-power ARM and x86 chips.
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-
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- ### 3. 🔬 Doctoral & Silicon Hardware Series
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- * **[`olmo2-7b-silicon-rtl-eda`](https://huggingface.co/Experimentlab/olmo2-7b-silicon-rtl-eda)**: Hardware silicon EDA specialist for Verilog RTL synthesis, timing constraints, and digital logic verification.
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- * **[`olmo2-7b-phd-pure-math`](https://huggingface.co/Experimentlab/olmo2-7b-phd-pure-math)**: Specialization in pure mathematics, formal proofs, topology, and abstract algebra.
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- * **[`olmo2-7b-biomed-chem`](https://huggingface.co/Experimentlab/olmo2-7b-biomed-chem)**: Deep biochemistry, computational medicine, and molecular modeling.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- ## 💻 Vigyan Workstation: 100% Offline AI Workstation
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- All models pair seamlessly with **[Vigyan Workstation](https://github.com/Vigyan-workstation/vigyan-workstation)**, featuring:
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- * **Interactive WaveDrom Digital Timing Studio** for electrical engineering and hardware timing diagrams.
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- * **6-DoF Robotics Kinematics Studio** for forward and inverse DH-parameter manipulator simulation.
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- * **Native SymPy CAS Mathematical Engine** for symbolic calculus, derivatives, integrals, and LaTeX rendering.
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- * **KiCad PCB Netlist Studio** for local electronic circuit verification.
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- ---
 
 
 
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- ## 📂 Official Curated Collections
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- Explore our complete fleet grouped by domain:
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- 1. **[🌟 Sovereign STEM SLMs & MoE Architectures](https://huggingface.co/collections/Experimentlab/sovereign-stem-slms-and-moe-architectures-6adf68b772867f9a60c2a37e)** — Flagship MoE, BitNet, and edge SLMs.
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- 2. **[🔬 Doctoral Mathematics & Silicon EDA](https://huggingface.co/collections/Experimentlab/doctoral-mathematics-and-silicon-eda-6adf69cd8305fcbaadf83635)** — Hardware silicon EDA, pure mathematics, astrophysics, and biomedicine.
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- 3. **[📚 Open Datasets & Verified Research Whitepapers](https://huggingface.co/collections/Experimentlab/open-datasets-and-verified-research-whitepapers-6adf69d1196cdf66ddcffa0d)** — Curated STEM pretraining corpora and research whitepapers.
 
 
 
 
 
 
 
 
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  ---
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  <div align="center">
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- <sub>Crafted with passion for sovereign open-source STEM research by <a href="https://experimentlab.in">Experimentlab.in</a> • Built for the Crazy Ones.</sub>
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  </div>
 
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  ### Sovereign Artificial Intelligence for Science, Technology, Engineering & Mathematics (STEM)
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  [![Official Website](https://img.shields.io/badge/Official_Website-experimentlab.in-2563eb?style=for-the-badge&logo=googlechrome&logoColor=white)](https://experimentlab.in)
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+ [![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-Strictly_Non--Commercial_(CC_BY--NC--SA_4.0)-red?style=for-the-badge&logo=creativecommons&logoColor=white)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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+ [![GitHub Org](https://img.shields.io/badge/GitHub_Guild-Vigyan--workstation-10b981?style=for-the-badge&logo=github&logoColor=white)](https://github.com/Vigyan-workstation)
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+ [![Model Downloads](https://img.shields.io/badge/Model_Downloads-5%2C000%2B-ffd21e?style=for-the-badge&logo=huggingface&logoColor=black)](https://huggingface.co/Experimentlab)
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  [![Discord Guild](https://img.shields.io/badge/Discord-Join_The_Guild-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.com/invite/Jck3tD6mhf)
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+ [![Workstation Release](https://img.shields.io/badge/Community_Desktop-v1.0.0_Live-7c3aed?style=for-the-badge&logo=linux&logoColor=white)](https://github.com/Vigyan-workstation/vigyan-workstation/releases/tag/v1.0.0)
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  > *"Here’s to the rebels who build real things in the physical world. The ones who refuse to rent their intelligence by the token. Who pull the plug and keep calculating."*
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  ---
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+ ## 🌌 The Mission: Sovereign STEM Intelligence
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+ **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**.
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+ Led by Founder & Chief Architect [Shreyansh Singh](https://github.com/shreyansh001boy-tech), our research bridges fundamental academic theory with sovereign edge execution:
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+ * **Zero Cloud Dependence**: 100% offline, privacy-first execution on local laptops and workstations.
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+ * **Deterministic Mathematical Truth**: Computer Algebra System (SymPy CAS) verification eliminating hallucinated calculus, ODEs, and physics.
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+ * **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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  ---
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+ ## 🏛️ The 5-Pillar Public AI Catalog
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  ```mermaid
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  graph LR
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+ A["Raw STEM Corpora (1B+ Tokens, arXiv, Dolma)"] --> B["Vigyan Sovereign Pretraining"]
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+ B --> C["1. Frontier STEM SLMs (32B / 7B / 2B)"]
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+ B --> D["2. Advanced Architectures (MoE / 1.58-bit / GRPO)"]
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+ B --> E["3. Domain Mastery (RTL / Math / Biomed / Vidhi)"]
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+ C --> F["5. Edge GGUF Runtimes & Desktop Studios"]
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  D --> F
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+ E --> F
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+ B --> G["4. Foundation Pretraining Datasets"]
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  ```
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+ ### 1. 🚀 Frontier STEM & Dense SLMs
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+ * **[`Vigyan-AI-32B`](https://huggingface.co/Experimentlab/Vigyan-AI-32B)** & **[`Vigyan-AI-32B-Titan-v1`](https://huggingface.co/Experimentlab/Vigyan-AI-32B-Titan-v1)**: Flagship 32B Titan models for deep multi-step scientific deduction.
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+ * **[`Vigyan-7B-STEM-Instruct-v1`](https://huggingface.co/Experimentlab/Vigyan-7B-STEM-Instruct-v1)** & **[`Shreyansh-STEM-AI-7B-Final`](https://huggingface.co/Experimentlab/Shreyansh-STEM-AI-7B-Final)**: High-performance 7B dense scientific models.
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+ * **[`Shreyansh-STEM-AI-2B-v3`](https://huggingface.co/Experimentlab/Shreyansh-STEM-AI-2B-v3)** *(1,195+ downloads)* & **[`Shreyansh-STEM-AI-2B-v3-Distilled`](https://huggingface.co/Experimentlab/Shreyansh-STEM-AI-2B-v3-Distilled)**: Compact, battery-friendly edge SLMs.
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+
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+ ### 2. 🌟 Advanced Architectures (MoE, 1.58-Bit Ternary, GRPO)
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+ * **[`Vigyan-1.5B-4x-MoE`](https://huggingface.co/Experimentlab/Vigyan-1.5B-4x-MoE)** *(1,669+ downloads)*: 4-expert routed Sparse MoE delivering 7B-class STEM reasoning at 1.5B inference latency.
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+ * **[`Vigyan-3B-4x-MoE`](https://huggingface.co/shreyansh12183/Vigyan-3B-4x-MoE)** *(704+ downloads)*: Advanced Top-1 routing multi-expert model tuned for symbolic logic.
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+ * **[`vigyan-3b-1.58bit-qat`](https://huggingface.co/shreyansh12183/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.
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+ * **[`vigyan-2b-reasoning-grpo`](https://huggingface.co/shreyansh12183/vigyan-2b-reasoning-grpo)**: DeepSeek-style GRPO test-time reasoning SLM trained on mathematical and logical verification trees.
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+ * **[`vigyan-olmoe-1b-7b-masterpiece-adapter`](https://huggingface.co/shreyansh12183/vigyan-olmoe-1b-7b-masterpiece-adapter)**: Ai2 OLMoE sparse expert architecture.
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+
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+ ### 3. 🔬 Doctoral & Domain-Specialized Intelligence
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+ * **[`olmo2-7b-silicon-rtl-eda`](https://huggingface.co/Experimentlab/olmo2-7b-silicon-rtl-eda)**: Hardware silicon EDA specialist for synthesizable IEEE 1364 Verilog RTL, FSMs, and synchronous timing circuits.
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+ * **[`olmo2-7b-phd-pure-math`](https://huggingface.co/Experimentlab/olmo2-7b-phd-pure-math)**: Specialization in pure mathematics, formal topological proofs, and abstract algebra.
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+ * **[`olmo2-7b-biomed-chem`](https://huggingface.co/Experimentlab/olmo2-7b-biomed-chem)**: Deep biochemistry, enzyme kinetics, and molecular thermodynamics.
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+ * **[`olmo2-7b-astro-logic`](https://huggingface.co/Experimentlab/olmo2-7b-astro-logic)**: Orbital mechanics, Hohmann transfers, and astrophysical physics.
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+ * **[`Vidhi-AI-Instruct`](https://huggingface.co/Experimentlab/Vidhi-AI-Instruct)**: Sovereign Indian legal intelligence aligned with the Bharatiya Nyaya Sanhita (BNS).
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+
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+ ### 4. 📚 Foundational Pretraining Corpora & Datasets
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+ * **[`shreyansh-1B-SLM-pretrain-stem-english`](https://huggingface.co/datasets/shreyansh12183/shreyansh-1B-SLM-pretrain-stem-english)**: 1 Billion token foundation pretraining corpus balanced for cold-start STEM intelligence.
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+ * **[`shreyansh-hinglish-english-stem-500k`](https://huggingface.co/datasets/shreyansh12183/shreyansh-hinglish-english-stem-500k)**: 500,000 sample bilingual Hinglish-English dataset tailored for Indian engineering students.
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+ * **[`vigyan-ai-research-papers`](https://huggingface.co/datasets/Experimentlab/vigyan-ai-research-papers)**: Curated corpus of scientific literature and verified technical preprints.
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+
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+ ### 5. ⚡ Edge GGUF Runtimes & Workstation Integration
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+ * **[`Vigyan-Models-GGUF`](https://huggingface.co/Experimentlab/Vigyan-Models-GGUF)**: Quantized GGUF binaries (`Q4_K_M`) engineered for local execution via llama.cpp and Ollama.
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+ * **[`vigyan-7b-moe-gguf`](https://huggingface.co/shreyansh12183/vigyan-7b-moe-gguf)**: Edge quantized MoE binary.
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+ * **[Vigyan Workstation](https://github.com/Vigyan-workstation/vigyan-workstation)**: Open-source desktop engineering studio pairing these weights with 3D robotics kinematics, WaveDrom waveforms, and KiCad PCB netlists.
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  ---
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+ ## ⚖️ Intellectual Property & Strict Non-Commercial Licensing
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+ 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**:
 
 
 
 
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+ * **Academic, Educational & Personal Research Use Only**: Freely permitted for students, academic researchers, university coursework, self-hosting, and civilian scientific inquiry.
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+ * **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.
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+ * **Demilitarized Civilian STEM Restriction**: Strictly prohibited for military, defense, weapons research, autonomous combat, or surveillance systems.
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+ * **Commercial Enterprise Licensing**: For commercial licensing, enterprise deployment, or institutional partnerships, contact [contact@experimentlab.in](mailto:contact@experimentlab.in).
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+ ---
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+ ## 📜 Academic Attribution & Sovereign Citation
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+
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+ ```bibtex
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+ @article{singh2026vigyan,
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+ title={Vigyan Sovereign Trilogy: Empirical Scaling Laws and Deterministic Symbolic-AST Evaluation of Edge Small Language Models},
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+ author={Singh, Shreyansh},
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+ institution={Vigyan AI Open Research},
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+ journal={Vigyan AI Research Publications},
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+ year={2026},
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+ url={https://github.com/shreyansh001boy-tech/vigyan-sovereign-benchmark}
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+ }
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+ ```
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  ---
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  <div align="center">
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+ <sub>Crafted with passion for sovereign open-source STEM research by <a href="https://experimentlab.in">ExperimentLab.in</a> • Built for the Crazy Ones.</sub>
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  </div>