Text Classification
Transformers
Safetensors
gemma4
image-text-to-text
decision-model
decision-index
system-one
Eval Results (legacy)
Instructions to use MachinePulseAI/karpo-decision-31B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MachinePulseAI/karpo-decision-31B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MachinePulseAI/karpo-decision-31B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MachinePulseAI/karpo-decision-31B") model = AutoModelForMultimodalLM.from_pretrained("MachinePulseAI/karpo-decision-31B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Licence: MachinePulse Community License for the weights; add NOTICE and a copy of Gemma 4's Apache-2.0 licence
Verified signatureFrom 2026-11-12 the weights in this repository, including those first published on 2026-11-05, are distributed under the MachinePulse Community License (LICENSE): commercial use allowed; commercial products and services offered to third parties show "Powered by karpo-decision (MachinePulse)"; production use for commercial purposes by an entity with annual revenue above US$10M needs a commercial agreement. Copies obtained before 2026-11-12 under Apache-2.0 keep that licence's rights. Gemma 4 stays Apache-2.0 (licenses/Gemma-4-LICENSE); the inference code on GitHub stays Apache-2.0. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>f8312ed