Text Classification
Transformers
Safetensors
English
qwen3_5
image-text-to-text
decision-model
system-one
calibration
typed-decisions
Instructions to use oraculumai/Manchego with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oraculumai/Manchego with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="oraculumai/Manchego")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("oraculumai/Manchego") model = AutoModelForMultimodalLM.from_pretrained("oraculumai/Manchego", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
17 days ago
-
Manchego v3: CUDA graphs off by default
Verified signatureLinux (A10) measurements showed CUDA graphs slower at every prompt length; the fast host path stays on.53251b0 -
Manchego v3
Verified signatureManchego v3 (release_cards/v3). v2.1 stays at tag v2.1.f82e029
24 days ago
-
Card: JevBench figures labelled as our run of the public items, not an official JevBench score
Verified signature39ecbbd -
Figures: leaderboard footer no longer overlaps
Verified signature042a5fd -
Manchego v2.1
Verified signature7740322 -
initial commit
Verified signatureb5df944