yusuffarhan/qwen-memory

Mneme: Neural Episodic Weight Injection Encoder

Trained encoder for the Mneme memory system - injects facts directly into LLM weights.

Usage

# 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"