license: cc-by-nc-4.0
language:
- zh
- en
tags:
- recommendation
- dual-tower
- transformer
- multi-hash-embedding
- pytorch
library_name: transformers
pipeline_tag: feature-extraction
✨ Dream-Machine — Billion-Item Neural Recommendation Sorcerer ✨
Multi-Hash Transformer Dual-Tower · RAG-Enhanced · Production-Grade · 1010 Scale
📌 Repository Notice
This repository is the official DreamMachine-AI organization listing. The full model weights, code, and documentation are published under the dream-machine-ai account namespace.
| Resource | Location |
|---|---|
| 🤗 Full Model Card + Weights | dream-machine-ai/Dream-Machine-08-09 |
| 📦 Training Dataset | dream-machine-ai/Dream-Machine-08-09-Dataset |
| 🌟 Interactive Space | spaces/dream-machine-ai |
| 🏢 Organization Hub | DreamMachine-AI |
| 📄 Technical Report | Zenodo 10.5281/zenodo.21906715 |
| 💻 Source Code | GitHub / Dream-Machine |
⚡ Quick Load
from transformers import AutoConfig, AutoModel
model = AutoModel.from_pretrained(
"dream-machine-ai/Dream-Machine-08-09",
trust_remote_code=True,
).eval()
from huggingface_hub import snapshot_download
# Full model repository
model_path = snapshot_download(repo_id="dream-machine-ai/Dream-Machine-08-09")
# Training dataset
dataset_path = snapshot_download(
repo_id="dream-machine-ai/Dream-Machine-08-09-Dataset",
repo_type="dataset",
)
📊 Benchmarks
| Metric | Value |
|---|---|
| AUC | 0.4849 |
| HR@10 | 1.0 |
| NDCG@10 | 0.537 |
| E2E Latency | ≤ 100 ms |
| Max Catalogue | 10¹⁰ items |
⚖️ License
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
| ✅ Permitted | ❌ Prohibited |
|---|---|
| Academic research & publication | Commercial products or services |
| Personal learning & experimentation | Revenue-generating deployments |
| Non-commercial derivative works | Sublicensing for profit |
| Citing in papers with attribution | Any business use without written permission |
Commercial use of any kind — including integrating model weights, code, or outputs into a product or service — requires explicit prior written consent from the author (Fangjun Wen).
Contact: fangjunwen168@outlook.com
Paper: DreamMachine: A Billion-Item Neural Recommendation Sorcerer
Author: Fangjun Wen · DreamMachine Research Team · August 2026
// built with focus · DreamMachine Research