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README.md

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+---
+license: apache-2.0
+tags:
+- minimind
+- science
+- chemistry
+- biology
+- kanna
+- sceletium-tortuosum
+---
+
+# MiniMind-Science
+
+This repository contains **MiniMind** models (Small and MoE versions) trained on a curated mix of scientific datasets.
+
+## Models
+*   **`full_sft_science_512.pth`**: MiniMind-Small (26M params, dim=512). **Recommended**. 
+    *   Pretrained on: Biology, Botany, and Kanna (Sceletium tortuosum) texts.
+    *   Fine-tuned on: Chemistry QA and PubMed Summarization.
+*   **`full_sft_science_moe_640_moe.pth`**: MiniMind-MoE (145M params, dim=640, 8 layers). Mixture-of-Experts version.
+
+## Training Data
+*   **Sceletium Tortuosum (Kanna)**: Custom dataset (`SAINTHALF/kanna_chunks_v2`).
+*   **Biology/Botany**: Text corpus from `rag-datasets/rag-mini-bioasq`.
+*   **Chemistry**: Conversational QA from `camel-ai/chemistry`.
+*   **Medical**: Summarization data from `ccdv/pubmed-summarization`.
+
+## Usage
+These models are native PyTorch weights compatible with the [MiniMind](https://github.com/jingyaogong/minimind) architecture.
+
+```python
+# Example loading (requires MiniMind code)
+model.load_state_dict(torch.load('full_sft_science_512.pth'))
+```