deepseek-ai/FlashMLA SLOC report

As of 2026-08-06 (commit 15f13e503037), deepseek-ai/FlashMLA contains 19,008 total lines: 14,223 code, 1,591 comments, 3,194 blank, across 106 files in 7 languages (top: C++ Header 49.9%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving deepseek-ai/FlashMLA to commit 15f13e503037, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

Repository size insights

This is a medium-sized codebase by counted code lines. Code represents 74.8% of all lines, comments represent 8.4%, and the repository averages 134 code lines per file. C++ Header accounts for 49.9% of counted code.

LanguageFilesLinesCodeCommentsBlanks
C++ Header2110113710311171893
C Header3838403048188604
Python183173265863452
SVG185685600
CUDA2368954521123
C++1151302
Markdown43220202120

Top language (C++ Header 49.9%). Generated at 2026-08-06T15:37:11.738561189+00:00.

Report FAQ

How many lines of code does deepseek-ai/FlashMLA have?

deepseek-ai/FlashMLA has 19,008 total lines, including 14,223 code lines, 1,591 comment lines, and 3,194 blank lines.

How was the deepseek-ai/FlashMLA line count measured?

OctoCounts resolved the public GitHub repository to commit 15f13e503037, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

What commit was counted for deepseek-ai/FlashMLA?

This OctoCounts report was generated from main at commit 15f13e503037 on 2026-08-06T15:37:11.738561189+00:00.

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