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README.md

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+---
+license: mit
+tags:
+- mneme
+- memory
+- weight-injection
+- qwen
+---
+
+# Mneme: Neural Episodic Weight Injection Encoder
+
+Trained encoder for the Mneme memory system - injects facts directly into LLM weights.
+
+## Usage
+
+```bash
+# Clone the repo
+git clone https://github.com/Yusuffarhan13/Mneme-v1-mvp.git
+cd Mneme-v1-mvp
+
+# Download the encoder
+pip install huggingface_hub
+python -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='yusuffarhan/qwen-memory', filename='best_encoder.pt', local_dir='mneme_trained')"
+
+# Run
+python qwen.py --encoder mneme_trained/best_encoder.pt
+```
+
+## Training Config
+
+- **Delta rank**: 16
+- **Target layers**: [4, 8, 12, 16, 20, 24]
+- **Encoder**: 768 hidden, 4 layers
+- **Base model**: Qwen/Qwen3-4B
+
+## What This Does
+
+Injects facts directly INTO model weights (no RAG, no prompt injection):
+
+```
+/remember My name is Yusuf
+/remember I work at Google
+What is my name?  →  "Your name is Yusuf"
+Where do I work?  →  "You work at Google"
+```