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RI-Meta-Core-Grounded-DeepSeek-V4.1
bbkdevops/RI-Meta-Core-Grounded-DeepSeek-V4.1
RI-Meta-Core-Grounded-DeepSeek-V4.1 is a machine learning model from bbkdevops. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
Recursive Intelligence (RI) Meta-Core evaluated strictly on raw problem statements across 500 tasks of SWE-bench Verified with 0% Gold Contamination.
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Updated Sep 19, 2026
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At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026
- SHA
- d76bd7ac
Model card
From the Hugging Face model README
⚡ RI-Meta-Core-Grounded-DeepSeek-V4.1 (Pure Autonomous Zero-Shot)
Recursive Intelligence (RI) Meta-Core evaluated strictly on raw problem statements across 500 tasks of SWE-bench Verified with 0% Gold Contamination.
📊 Empirical Autonomous Metrics (No Gold Leakage)
| Metric | Pure Autonomous Result | Technical Detail |
|---|---|---|
| Gold Contamination Rate | 0.00% | Zero oracle leaks, 100% blind generation |
| Valid Git Diff Syntax | 83.60% (418/500) | Correct diff headers, file pointers, and hunks |
| Target File Identification | 36.20% (181/500) | Zero-shot file discovery from issue text alone |
| Target Patch Perplexity | 4.12 (Best: 2.24) | High token-level confidence and code structure |
| Testbed Harness Execution | Docker Containers | Official SWE-bench evaluation harness verified |
All predictions are available in predictions/swebench_verified_pure_500_honest.json.
- Library
- transformers
- License
- mit
- Languages
- en
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026