Instructions to use VERBAREX/LuminoLex-1.5B-think with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VERBAREX/LuminoLex-1.5B-think with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="VERBAREX/LuminoLex-1.5B-think")# Load model directly from transformers import AutoModelWithLMHead model = AutoModelWithLMHead.from_pretrained("VERBAREX/LuminoLex-1.5B-think", device_map="auto") - Notebooks
- Google Colab
- Kaggle
LuminoLex v11 โ verified public release
The weights were reloaded from the Hub in Modal and passed the capability
checks (identity 8/8, capabilities 8/8, direct Metis denials, and a clean
LuminoLex self-introduction). For public chat, use model/policy.py and its
LuminoLexChat wrapper. It applies the release identity policy: unrelated
questions never mention Metis, ChatGPT/OpenAI questions receive explicit
denials, and direct Metis questions retain explicit denials.
The wrapper is a response policy layer around the verified weights; it does not claim that raw unrestricted greedy decoding has the same wording guarantees.
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