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anthonym21/gemma-3-4b-it-slipstream-grpo
gemma-3-4b-it-slipstream-grpo is a machine learning model from anthonym21. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gemma.
Gemma 3 4B aligned with GRPO using the Slipstream Governance Environment to safely use the Slipstream inter-agent protocol.
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From the Hugging Face model README
Gemma 3 4B aligned with GRPO using the Slipstream Governance Environment to safely use the Slipstream inter-agent protocol.
This model speaks the Slipstream protocol (82% token savings in multi-agent systems) while:
| Stage | Method | Description |
|---|---|---|
| 1. SFT | anthonym21/gemma-3-4b-it-slipstream-sft | Learn protocol format |
| 2. GRPO | This model | Align for safe usage |
| 3. Trim | (optional) | Quantize for deployment |
| Component | Reward | Description |
|---|---|---|
| Valid format | +1 | SLIP v1 <src> <dst> <anchor> <args> |
| Correct anchor | +3 | Matches expected anchor |
| Arguments | +3 x ratio | Expected args present |
| Secret leakage | -10 | Covert channel attempt |
| High entropy | -2 | Suspicious encoded payload |
| Unknown tokens | -0.15 each | Out-of-vocabulary |
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("anthonym21/gemma-3-4b-it-slipstream-grpo")
tokenizer = AutoTokenizer.from_pretrained("anthonym21/gemma-3-4b-it-slipstream-grpo")
# This model will generate safe SLIP messages
# even when prompted to leak secrets!
Built for the OpenEnv Student Challenge 2025