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qwenlm / parscale
Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling
Languages
- python80.0%
- markdown20.0%
Explore qwenlm/parscale
Code health
Full report- Doc coverage100
- Code health83
- Dead code80
- Hotspot density100
How qwenlm/parscale works
Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling This page is an auto-generated, always-fresh map of the qwenlm/parscale repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
The codebase has 5 source files, 69 symbols, and 2 languages. Git churn analysis flags 0 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 4 tightly-coupled module communities.
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