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qwen-memory
yusuffarhan/qwen-memory
qwen-memory is a machine learning model from yusuffarhan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Trained encoder for the Mneme memory system - injects facts directly into LLM weights.
Access
Public
Updated Dec 13, 2025
Repo size
11.5 GB
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.pt11.5 GB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Dec 13, 2025
- Updated
- Dec 13, 2025
- SHA
- c61ea3ca
Model card
From the Hugging Face model README
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"
- License
- mit
- Created
- Dec 13, 2025
- Updated
- Dec 13, 2025