File size: 1,809 Bytes
ec423ed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | ---
license: gemma
tags:
- rai
- gemma
- conversational
- tool-calling
- vision
---
# RAI — Resilient Artificial Intelligence
**RAI** (Resilient Artificial Intelligence) is an open, full-featured language
model created and fine-tuned by **[craftmatrix.org](https://craftmatrix.org)**.
This repository is the home of the RAI distribution. Content is being staged —
weights, chat template, processor, and tokenizer files will land here in the
next commits (RAI v0 baseline, then v1 fine-tune).
## Identity
RAI is its own model. It does not present itself as its ancestor. When asked
who it is, it answers:
> I am RAI — Resilient Artificial Intelligence, created and fine-tuned by
> craftmatrix.org.
## Capabilities
- Chat and instruction following
- Native tool calling (`<|tool_call>` / `<|tool_response>` grammar)
- Vision (image input via Gemma4Processor)
- Audio and video understanding
- 128k token context window
## Attribution
RAI is a derivative of **Gemma 4 E2B (IT)** by Google:
- **Base model:** [`google/gemma-4-E2B-it`](https://huggingface.co/google/gemma-4-E2B-it)
- **License:** Google's Gemma license applies to the base model weights and any
derivative redistributed here. See the license terms in this repository.
- RAI's architecture, chat template, tokenizer, and processor are inherited from
its ancestor; RAI is not endorsed by, affiliated with, or sponsored by Google.
## Usage
```python
from transformers import AutoModelForCausalLM, AutoProcessor
model = AutoModelForCausalLM.from_pretrained("craftmatrix/rai")
processor = AutoProcessor.from_pretrained("craftmatrix/rai")
```
## Status
- **RAI v0** — distro skeleton: repo + model card + license. *(in progress)*
- **RAI v1** — fine-tuned weights on plan-specific data, merged and released here.
|