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
.
Runs of DFloat11 BAGEL-7B-MoT-DF11 on huggingface.co
25
Total runs
-18
24-hour runs
-11
3-day runs
-5
7-day runs
-4
30-day runs
More Information About BAGEL-7B-MoT-DF11 huggingface.co Model
BAGEL-7B-MoT-DF11 huggingface.co
BAGEL-7B-MoT-DF11 huggingface.co is an AI model on huggingface.co that provides BAGEL-7B-MoT-DF11's model effect (), which can be used instantly with this DFloat11 BAGEL-7B-MoT-DF11 model. huggingface.co supports a free trial of the BAGEL-7B-MoT-DF11 model, and also provides paid use of the BAGEL-7B-MoT-DF11. Support call BAGEL-7B-MoT-DF11 model through api, including Node.js, Python, http.
BAGEL-7B-MoT-DF11 huggingface.co is an online trial and call api platform, which integrates BAGEL-7B-MoT-DF11's modeling effects, including api services, and provides a free online trial of BAGEL-7B-MoT-DF11, you can try BAGEL-7B-MoT-DF11 online for free by clicking the link below.
DFloat11 BAGEL-7B-MoT-DF11 online free url in huggingface.co:
BAGEL-7B-MoT-DF11 is an open source model from GitHub that offers a free installation service, and any user can find BAGEL-7B-MoT-DF11 on GitHub to install. At the same time, huggingface.co provides the effect of BAGEL-7B-MoT-DF11 install, users can directly use BAGEL-7B-MoT-DF11 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.