Instructions to use starfrich/zils-d3-mini-c1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use starfrich/zils-d3-mini-c1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("starfrich/zils-d3-mini-c1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
zils-d3-mini-c1
A d3-mini decision body (Qwen/Qwen3.5-4B family) for the Zils subnet 127 mini pool.
Built by task arithmetic: the current d3-mini soup, joamCriff123/zils-mini-sx3 (Apache-2.0), plus the
weight change of our own LoRA run over stock d3-mini. That run (rank 64, zils.teacher train) learned the
27B teacher probabilities in zils-ai/zils-relay-answers (Apache-2.0; only rows from permissively licensed
sources) and resolved Zils Outcomes items with smoothed labels. Licensed under Apache-2.0; see LICENSE
and NOTICE for upstream attributions.
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