Instructions to use JaySc/Curvion_AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JaySc/Curvion_AI with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JaySc/Curvion_AI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: gemma | |
| language: | |
| - en | |
| base_model: | |
| - google/gemma-4-12B-it | |
| datasets: | |
| - HuggingFaceTB/cosmopedia | |
| - JaySc/CosmoDataDump | |
| - NeuML/arxiv-astronomy-similarity | |
| - openbmb/UltraData-Math | |
| - Smith42/sdss_gaia_crossmatched | |
| - MultimodalUniverse/sdss | |
| - BrunoBarreto/sdss_dr12_stars_regression | |
| - marwa000000000/SDSS-GalaxyZoo2-Preprocessed | |
| - HITS-AIN/IllustrisTNG_SKIRT_SDSS | |
| - Trustworthy-Information-Access/HonestyBench | |
| - Qwen/AgentWorldBench | |
| - Avtrkrb/combined-reasoning-opus-4.6-opus-4.7-kimi-k2.5-kimi-k2.6-glm-5.1 | |
| - msiudek/astroPT_euclid_dataset | |
| - camel-ai/physics | |
| - open-web-math/open-web-math | |
| - easybobLee/variable_gravity_dataset_creation | |
| - parlange/dark-energy-survey-supernova | |
| - darkmatter2222/redact-v1 | |
| - juliensimon/black-hole-catalog | |
| - juliensimon/planck-sz2-clusters | |
| - hugging-science/mmu_legacysurvey_dr10_south_21 | |
| - hugging-science/mmu_apogee_dr17 | |
| - juliensimon/nasa-exoplanets | |
| library_name: transformers | |
| # Cuvion_AI | |
| ## Overview | |
| Curvion_AI- Scientific Reasoning for the Cosmos. Curvion AI is an experimental research assistant model based on Google's Gemma-4-12B. | |
| The long-term objective is to develop an AI specialized in: | |
| - Cosmology | |
| - Astrophysics | |
| - Physics | |
| - Mathematics | |
| - Quantum Mechanics | |
| - Scientific reasoning | |
| - Numerical analysis | |
| - Code generation | |
| - Visual interpretation | |
| - Scientific literature review | |
| The model is intended to emphasize evidence-based reasoning, transparent uncertainty, and reproducible scientific workflows. | |
| --- | |
| ## Base Model | |
| google/gemma-4-12B | |
| --- | |
| ## Current Status | |
| Current release: | |
| - Quantized GGUF conversion | |
| - No domain fine-tuning yet | |
| - Intended as the foundation for future scientific instruction tuning | |
| --- | |
| ## Intended Uses | |
| Designed for | |
| - Scientific discussion | |
| - Research assistance | |
| - Cosmology analysis | |
| - Mathematical derivations | |
| - Python coding | |
| - Data interpretation | |
| - Research brainstorming | |
| Not intended for | |
| - Medical advice | |
| - Legal advice | |
| - Safety critical applications | |
| - Autonomous decision making | |
| --- | |
| ## Training Goals | |
| Future versions will be progressively trained using publicly licensed datasets emphasizing | |
| - Cosmology | |
| - Astronomy | |
| - Physics | |
| - Mathematics | |
| - Scientific programming | |
| - Academic reasoning | |
| --- | |
| ## Evaluation | |
| Evaluation will include | |
| - GSM8K | |
| - MATH | |
| - HumanEval | |
| - BBH | |
| - GPQA | |
| - Domain-specific cosmology benchmarks | |
| --- | |
| ## Limitations | |
| The current version has not yet received domain-specific supervised fine tuning. | |
| Responses should be independently verified. | |
| --- | |
| ## License | |
| Gemma Terms of Use apply. |