Downloads · 30 days
19
26% of all-time downloads
netFound-large
snlucsb/netFound-large
netFound-large is a machine learning model from snlucsb. 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.
netFound is a network traffic encoder model that uses transformer architecture and includes a pretraining phase on unlabeled data to achieve high results.
All-time downloads
74
Public
Parameters
662M
2.6 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors2.6 GB · 100%
At a glance
- License
- mit
- Model type
- netFound
- Access
- Public
- Created
- Mar 9, 2026
- Updated
- Mar 9, 2026
- SHA
- cdb7f46f
Model card
From the Hugging Face model README
netFound-large
Description
netFound is a network traffic encoder model that uses transformer architecture and includes a pretraining phase on unlabeled data to achieve high results.
Key features:
- netFound takes raw PCAP data as input
- netFound can (and need) be pretrained on the unlabeled dataset
- netFound uses Hierarchical Transformer architecture to take into account packet burst and flow behavior
- netFound uses burst metadata (inter arrival time, number of bytes per burst, etc)
Details
- Model config: large (24 layers, 16 attention heads, 1024 hidden size)
- Pretraining details: 128 GPUs, 15k steps, ~7bln tokens seen
Source code
- Type
- netFound
- License
- mit
- Created
- Mar 9, 2026
- Updated
- Mar 9, 2026