C2C
C2C is a Python code library that lets two language models share their internal memory directly instead of exchanging text, for developers building multi-model systems.
What it is good for
- Letting two language models pass information without writing text between them
- Improving answer accuracy by combining the knowledge of several models
- Reducing response latency in systems that chain multiple language models
- Training custom connectors between different language model pairs
At a glance
- Who it is for
- Setup
- Requires programming
Level 5 of 5. You need to write code to use it.
- Cost
- Free and open source
- Type
- Framework or SDK
- Tasks
- Works with
- Hugging Face, Qwen2.5, Qwen3
Momentum
- Rank this week
- Not ranked yet
- Best rank
- None yet
- GitHub stars
- 766
GitHub numbers as of Nov 2, 2026. Updated weekly.
Official links
Setup steps are on the official pages. We do not repeat them here, since they change.
Questions
- Is C2C free?
- Yes. It is free and open source (Apache-2.0 license).
- Do I need to know how to code to use C2C?
- Yes. You need to write code to use it.
- What does C2C work with?
- According to its own documentation, it works with Hugging Face, Qwen2.5, and Qwen3.
- What is C2C good for?
- Letting two language models pass information without writing text between them, improving answer accuracy by combining the knowledge of several models, reducing response latency in systems that chain multiple language models, and training custom connectors between different language model pairs.
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