Reinforcement Learning
Transformers
Safetensors
English
qwen2
text-generation
code
autonomous-agent
bug-fix
self-healing
mcp
model-context-protocol
sre
tokenectomy
unsloth
dual-brain
rust-subcortex
text-generation-inference
Instructions to use NadevA23/Kronumos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NadevA23/Kronumos with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("NadevA23/Kronumos") model = AutoModelForCausalLM.from_pretrained("NadevA23/Kronumos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
⚡ Kronumos: The Dual-Brain Cybernetic Bug Remediation Engine
Kronumos is the foundational release of the Kronumos Dual-Brain automated program repair ecosystem.
- Current Active Release (v2.0): NadevA23/Kronumos-Kairos-v2
- 14B Sovereign Edition: NadevA23/Kronumos-14B-Kairos
- Titan Edition (671B MoE): NadevA23/Kronumos-Aion
- Official Preprint: Springer Nature Research Square (DOI: 10.21203/rs.3.rs-11205335/v1)
- Author: Muhammad Naufal Daffa (ORCID: 0009-0000-7909-4916)
📜 Citation
@article{daffa2026kronumos2,
author = {Muhammad Naufal Daffa},
title = {Kronumos 2 Kairos: Cost-Bounded Automated Program Repair via Dual-Brain Cybernetic Sub-Cortex on SWE-bench Verified},
journal = {Research Square},
year = {2026},
doi = {10.21203/rs.3.rs-11205335/v1},
url = {https://doi.org/10.21203/rs.3.rs-11205335/v1}
}
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