ComprExIT context-compression models and ICAE baselines: 1B/3B/8B, 4x compression, NTP and SFT variants.
Jiangnan Ye
Jiang-nan
AI & ML interests
NLP, Graph Neural Networks, Computer Vision
Recent Activity
upvoted a paper 2 days ago
The Hitchhiker's Guide to Agentic AI: From Foundations to Systems upvoted a paper 2 days ago
Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models updated a collection 9 days ago
ComprExITOrganizations
None yet
models 16
Jiang-nan/icae-1b-4x-long8192-sft
3B • Updated • 14
Jiang-nan/icae-1b-4x-long8192-ntp
3B • Updated • 14
Jiang-nan/icae-8b-4x-sft
16B • Updated • 14
Jiang-nan/icae-8b-4x-ntp
8B • Updated • 14
Jiang-nan/icae-3b-4x-sft
7B • Updated • 16
Jiang-nan/icae-3b-4x-ntp
7B • Updated • 10
Jiang-nan/icae-1b-4x-sft
3B • Updated • 15
Jiang-nan/icae-1b-4x-ntp
3B • Updated • 15
Jiang-nan/comprexit-1b-4x-long8192-sft
1B • Updated • 15
Jiang-nan/comprexit-1b-4x-long8192-ntp
1B • Updated • 15