metadata
base_model:
- ByteDance-Seed/BAGEL-7B-MoT
base_model_relation: quantized
pipeline_tag: any-to-any
tags:
- dfloat11
- df11
- lossless compression
- 70% size, 100% accuracy
DFloat11 Compressed Model: ByteDance-Seed/BAGEL-7B-MoT
This model uses DFloat11 lossless compression. It's 32% smaller than the original BFloat16 model, yet produces bit-identical outputs and runs efficiently on GPUs.
📊 Performance Comparison
| Metric | BAGEL-7B-MoT (BFloat16) | BAGEL-7B-MoT (DFloat11) |
|---|---|---|
| Model Size | 29.21 GB | 19.89 GB |
| Peak GPU Memory (1024x1024 image generation) |
30.07 GB | 21.76 GB |
| Generation Time (on an A100 GPU) |
54 seconds | 58 seconds |
🔍 How It Works
We apply Huffman coding to the exponent bits of BFloat16 model weights, which are highly compressible. We leverage hardware-aware algorithmic designs to enable highly efficient, on-the-fly weight decompression directly on the GPU. Find out more in our research paper.
🔧 How to Use
A complete usage guide is available in our GitHub repository (forked from the official Bagel repository): https://github.com/LeanModels/Bagel-DFloat11.