# jmaczan/tiny-vllm SLOC report

> As of 2026-09-16 (commit e25bf1994efa), jmaczan/tiny-vllm contains 29,968 total lines: 19,753 code, 6,496 comments, 3,719 blank, across 20 files in 9 languages (top: C++ Header 92.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

jmaczan/tiny-vllm has 19,753 source lines of code out of 29,968 total lines across 20 files, counted from the e25bf1994efa90bc98b721ba7c527402f86fbeaf ref at commit e25bf1994efa by the OctoCounts tokei engine on 2026-09-16. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving jmaczan/tiny-vllm to commit e25bf1994efa, 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 65.9% of all lines, comments represent 21.7%, and the repository averages 988 code lines per file. C++ Header accounts for 92.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C++ Header | 1 | 25,830 | 18,204 | 4,528 | 3,098 |
| C++ | 1 | 1,044 | 787 | 160 | 97 |
| CUDA | 1 | 528 | 438 | 27 | 63 |
| Python | 5 | 339 | 212 | 83 | 44 |
| CMake | 1 | 75 | 58 | 4 | 13 |
| C Header | 1 | 61 | 40 | 9 | 12 |
| Shell | 7 | 14 | 14 | 0 | 0 |
| Markdown | 1 | 1,302 | 0 | 979 | 323 |
| Plain Text | 2 | 775 | 0 | 706 | 69 |

Top language (C++ Header 92.2%). Generated at 2026-09-16T13:08:51.936307991+00:00. Canonical report: https://octocounts.com/github/jmaczan/tiny-vllm

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/jmaczan/tiny-vllm/commit/e25bf1994efa90bc98b721ba7c527402f86fbeaf?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does jmaczan/tiny-vllm have?

jmaczan/tiny-vllm has 29,968 total lines, including 19,753 code lines, 6,496 comment lines, and 3,719 blank lines.

### How was the jmaczan/tiny-vllm line count measured?

OctoCounts resolved the public GitHub repository to commit e25bf1994efa, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for jmaczan/tiny-vllm?

This OctoCounts report was generated from e25bf1994efa90bc98b721ba7c527402f86fbeaf at commit e25bf1994efa on 2026-09-16T13:08:51.936307991+00:00.

## Similar repository reports

- [rahulsenna/bittorrent-cpp](https://octocounts.com/github/rahulsenna/bittorrent-cpp) — C++ Header, 18,208 code lines
- [mit-acl/clear](https://octocounts.com/github/mit-acl/clear) — C++ Header, 23,480 code lines
- [Dasaav-dsv/libER](https://octocounts.com/github/Dasaav-dsv/libER) — C++ Header, 13,786 code lines
- [deepseek-ai/DeepEP](https://octocounts.com/github/deepseek-ai/DeepEP) — C++ Header, 12,086 code lines
- [deepseek-ai/FlashMLA](https://octocounts.com/github/deepseek-ai/FlashMLA) — C++ Header, 11,674 code lines
- [vermellcc/vermell](https://octocounts.com/github/vermellcc/vermell) — C++ Header, 5,241 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)