thu-nics/C2C

[ICLR'26] The official code implementation for "Cache-to-Cache: Direct Semantic Communication Between Large Language Models"

52
/ 100
Established

Enables direct KV-Cache projection and fusion between LLMs using learnable transformer-based projectors, eliminating the need for text serialization. Supports multi-model setups where multiple "sharer" models can contribute cached representations to a single "receiver" model through layer-wise alignment. Provides the `RosettaModel` wrapper for seamless integration with any HuggingFace-compatible LLM, with pre-trained fusers available on HuggingFace Hub.

361 stars.

No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 17 / 25

How are scores calculated?

Stars

361

Forks

41

Language

Python

License

Apache-2.0

Last pushed

Mar 05, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/thu-nics/C2C"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.