NadevA23/Kronumos-Kairos-v2
text-generation model by NadevA23
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From the publisher
Model card & documentation
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Organization: Tokenectomy Labs Base Model: Qwen/Qwen2.5-Coder-7B-Instruct Research Paper: 10.5281/zenodo.22929676 Repository: Tokenectomy-Labs/Kronomus Kronumos 2 Kairos is an open-weight 7B autonomous program repair (APR) model fine-tuned for high-precision code remediation on real-world production software bugs. It pairs parametric neural intuition with a deterministic, zero-allocation Rust Sub-Cortex (Tokenectomy Procedural Cognitive Kernel). Evaluated end-to-end on the official Princeton SWE-bench Verified benchmark (500 production instances across Django, Scikit-Learn, PyData Xarray, Sphinx, Sympy, etc.) using official Docker execution containers. Traditional LLM agents…
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Inside the original model card — Document outline
- ⚡ Kronumos 2 Kairos: The Dual-Brain Sub-Cortex Autonomous Program Repair Engine
- 🥊 Benchmark Verification: SWE-bench Verified (500 Instances)
- 🏆 Verified Resolved Production Issues:
- 🏛️ The Dual-Brain Cybernetic APR Architecture
- 💻 Quickstart: Running Inference
- With Transformers:
- With GGUF (Llama.cpp / Ollama):
- 📜 Citation
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
NadevA23/Kronumos-Kairos-v2 is a text-generation model repository published by NadevA23 on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 7,615,616,512
- Architecture
- Qwen2ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-27T06:24:11.000Z
- Last modified
- 2026-09-27T06:29:37.000Z
Compatibility and lineage
Reported languages: en
Reported base models: unsloth/qwen2.5-coder-7b-instruct-bnb-4bit
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-27T06:37:53.622Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.