# OpenGVLab/LLaMA-Adapter SLOC report

> As of 2026-09-12 (commit 8c50ee5d5d39), OpenGVLab/LLaMA-Adapter contains 157,359 total lines: 149,101 code, 3,392 comments, 4,866 blank, across 246 files in 15 languages (top: C 72.3%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving OpenGVLab/LLaMA-Adapter to commit 8c50ee5d5d39, 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 large codebase by counted code lines. Code represents 94.8% of all lines, comments represent 2.2%, and the repository averages 606 code lines per file. C accounts for 72.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| C | 1 | 107,777 | 107,760 | 0 | 17 |
| Python | 156 | 27,375 | 21,759 | 1,686 | 3,930 |
| JSON | 10 | 17,421 | 17,420 | 0 | 1 |
| JavaScript | 2 | 1,083 | 937 | 15 | 131 |
| C++ | 2 | 442 | 381 | 6 | 55 |
| Shell | 22 | 326 | 259 | 16 | 51 |
| C Header | 1 | 224 | 185 | 6 | 33 |
| YAML | 6 | 144 | 141 | 0 | 3 |
| Scheme | 2 | 138 | 114 | 5 | 19 |
| TOML | 2 | 67 | 56 | 3 | 8 |
| Rust | 2 | 57 | 43 | 5 | 9 |
| BASH | 1 | 36 | 25 | 1 | 10 |

Top language (C 72.3%). Generated at 2026-09-12T08:34:18.087117119+00:00. Canonical report: https://octocounts.com/github/OpenGVLab/LLaMA-Adapter

## Report FAQ

### How many lines of code does OpenGVLab/LLaMA-Adapter have?

OpenGVLab/LLaMA-Adapter has 157,359 total lines, including 149,101 code lines, 3,392 comment lines, and 4,866 blank lines.

### How was the OpenGVLab/LLaMA-Adapter line count measured?

OctoCounts resolved the public GitHub repository to commit 8c50ee5d5d39, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for OpenGVLab/LLaMA-Adapter?

This OctoCounts report was generated from 8c50ee5d5d393c9bee5fcfda6aaea31d3ca3c40c at commit 8c50ee5d5d39 on 2026-09-12T08:34:18.087117119+00:00.

## Similar repository reports

- [Distrotech/diffutils](https://octocounts.com/github/Distrotech/diffutils) — C, 141,368 code lines
- [SteamClientHomebrew/Millennium](https://octocounts.com/github/SteamClientHomebrew/Millennium) — C, 158,837 code lines
- [iproute2/iproute2](https://octocounts.com/github/iproute2/iproute2) — C, 137,976 code lines
- [openssh/openssh-portable](https://octocounts.com/github/openssh/openssh-portable) — C, 164,442 code lines
- [kingToolbox/WindTerm](https://octocounts.com/github/kingToolbox/WindTerm) — C, 165,596 code lines
- [mackron/miniaudio](https://octocounts.com/github/mackron/miniaudio) — C, 167,086 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)
- [Neovim vs VS Code](https://octocounts.com/compare/neovim-vs-vscode)
- [MongoDB vs PostgreSQL](https://octocounts.com/compare/mongodb-vs-postgres)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [OctoCounts API docs](https://octocounts.com/docs/api)
