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Add RAI model card with Gemma attribution
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metadata
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.

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
  • 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

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.