Release Panini 1.0 (Meru OS)
Browse files- .gitattributes +3 -0
- README.md +58 -0
- ayurveda.meru +0 -0
- config.json +13 -0
- constitution.meru +3 -0
- gst_hsn.meru +0 -0
- ipc.meru +0 -0
- mandi_prices.meru +0 -0
- pin_codes.meru +3 -0
- pytorch_model.bin +3 -0
- universal_corpus.meru +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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constitution.meru filter=lfs diff=lfs merge=lfs -text
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pin_codes.meru filter=lfs diff=lfs merge=lfs -text
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universal_corpus.meru filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language:
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- sa
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- en
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- de
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- hi
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tags:
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- neuro-symbolic
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- vedic-logic
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- green-ai
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- sovereign-ai
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license: mit
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---
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# 🕉️ Panini 1.0 Alpha (Meru OS)
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**"The Glass Box Model."**
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Panini 1.0 is the first **Neuro-Symbolic LLM** built on the [Meru OS](https://github.com/akulasairohit/meru-os) architecture.
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It represents **Sovereign AI**: The logic and the data are owned by the people, not corporations.
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## 🧠 The Sovereign Knowledge Base
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This model comes bundled with **Compressed Knowledge Modules (.meru)** that are loaded directly into memory (Smriti):
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| Module | content |
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| :--- | :--- |
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| **universal_corpus.meru** | 25,731 Indo-European Cognates (Sanskrit/Greek/German) |
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| **constitution.meru** | The Constitution of India (Complete) |
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| **ipc.meru** | Indian Penal Code (IPC) |
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| **ayurveda.meru** | Charaka Samhita (Medical Knowledge) |
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| **gst_hsn.meru** | GST Goods & Services Tax Codes |
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| **pin_codes.meru** | All India Pincodes Directory |
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| **mandi_prices.meru** | Real-time Agricultural Prices |
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## 🚀 Usage
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```python
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import torch
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from meru_os import PaniniLLM
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# Load Model (Auto-loads all .meru files in directory)
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model = PaniniLLM()
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model.load_state_dict(torch.load("pytorch_model.bin"))
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# Query Logic
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print(model.query_root("MOTHER"))
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# Output: ['mātṛ (Sanskrit)', 'mētēr (Greek)', 'mutter (German)']
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print(model.query_law("Fundamental Rights"))
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# Output: Returns Article 12-35 from constitution.meru
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```
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## 🌱 Green AI
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- **Total Size**: < 2MB (Weights + All 7 Datasets)
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- **Inference**: CPU-Native
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- **Architecture**: Deterministic Prime Factors
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**Sovereign AI for a Sovereign World.** 🇮🇳
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ayurveda.meru
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Binary file (4.14 kB). View file
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config.json
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{
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"architectures": [
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"PaniniLLM"
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],
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"model_type": "panini",
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"vocab_size": 25731,
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"hidden_size": 108,
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"num_layers": 14,
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"description": "The First Sovereign AI based on Vedic Logic and Prime Numbers.",
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"authors": [
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"Meru AI"
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]
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}
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constitution.meru
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d5c56554d30fd4d648a716b843b9775ff310f80055dee569e643b0ef89ccbc8
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size 105674
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gst_hsn.meru
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Binary file (12 kB). View file
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ipc.meru
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Binary file (56 kB). View file
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mandi_prices.meru
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pin_codes.meru
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version https://git-lfs.github.com/spec/v1
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oid sha256:ada8bf8473d5ce3f76cc79ca700ca226ad86ddf3f0cfc652bd4644a076541b8e
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size 1483559
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1533773989fe10c74684e2897632d975f2ff19ce066565278e67b830b06c7d1
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size 19221
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universal_corpus.meru
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f7788d4c97cbf4947bf4e546bb861b0f40925baf689388066677eb32874da61
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size 203179
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