Multilingual-Multimodal-NLP/LoopCoder-V2 · Hugging Face

In three linesLoopCoder-V2 is a 7B code model based on Parallel Loop Transformer (PLT) that improves test-time performance through two passes of shared Transformer blocks. Trained on 18T tokens of mixed text/code data, it reaches 64.4 on SWE-bench Verified (vs 43.0 baseline), with two loops as the optimal gain-cost setting.

Summary generated by Claude — human-verified