LoopCoder-V2 is a 7B instruction-tuned code model based on Parallel Loop Transformer (PLT), trained on 18T tokens of mixed text and code data. The two-loop variant achieves the best gain-cost balance, improving SWE-bench Verified from 43.0 to 64.4, while three or more loops result in regression due to increasing positional mismatch and unstable updates.
media
r/LocalLLaMA
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52d ago
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open_models
LoopCoder-V2: Two-Loop PLT Model Achieves Best Gain-Cost Trade-Off
from English
Benchmarks
| Benchmark | Model | Score |
|---|---|---|
| SWE-bench Verified | LoopCoder-V2 | 64.4% |
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