# WKQ9411/Mini-LLM SLOC report

> As of 2026-09-12 (commit fbe3a368de84), WKQ9411/Mini-LLM contains 277,332 total lines: 229,518 code, 43,961 comments, 3,853 blank, across 139 files in 13 languages (top: JSON 91.3%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

WKQ9411/Mini-LLM has 229,518 source lines of code out of 277,332 total lines across 139 files, counted from the fbe3a368de8494819d0b203859cd763ae9f37e24 ref at commit fbe3a368de84 by the OctoCounts tokei engine on 2026-09-12. 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 WKQ9411/Mini-LLM to commit fbe3a368de84, 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 82.8% of all lines, comments represent 15.9%, and the repository averages 1,651 code lines per file. JSON accounts for 91.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 11 | 209,559 | 209,556 | 0 | 3 |
| Python | 85 | 19,435 | 15,009 | 1,732 | 2,694 |
| PowerShell | 3 | 1,487 | 1,199 | 64 | 224 |
| Shell | 3 | 1,251 | 1,001 | 51 | 199 |
| Jupyter Notebooks | 7 | 1,283 | 972 | 131 | 180 |
| CSS | 1 | 871 | 739 | 0 | 132 |
| JavaScript | 7 | 643 | 553 | 5 | 85 |
| TypeScript | 7 | 386 | 337 | 0 | 49 |
| TOML | 1 | 111 | 99 | 0 | 12 |
| Vue | 9 | 49 | 40 | 0 | 9 |
| HTML | 1 | 13 | 13 | 0 | 0 |
| Markdown | 2 | 756 | 0 | 490 | 266 |

Top language (JSON 91.3%). Generated at 2026-09-12T12:22:00.895136234+00:00. Canonical report: https://octocounts.com/github/WKQ9411/Mini-LLM

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/WKQ9411/Mini-LLM/commit/fbe3a368de8494819d0b203859cd763ae9f37e24?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 WKQ9411/Mini-LLM have?

WKQ9411/Mini-LLM has 277,332 total lines, including 229,518 code lines, 43,961 comment lines, and 3,853 blank lines.

### How was the WKQ9411/Mini-LLM line count measured?

OctoCounts resolved the public GitHub repository to commit fbe3a368de84, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for WKQ9411/Mini-LLM?

This OctoCounts report was generated from fbe3a368de8494819d0b203859cd763ae9f37e24 at commit fbe3a368de84 on 2026-09-12T12:22:00.895136234+00:00.

## Similar repository reports

- [devolutions/unigetui](https://octocounts.com/github/devolutions/unigetui) — JSON, 229,395 code lines
- [Shubhamsaboo/awesome-llm-apps](https://octocounts.com/github/Shubhamsaboo/awesome-llm-apps) — JSON, 236,440 code lines
- [wspr-ncsu/WebViewTracer](https://octocounts.com/github/wspr-ncsu/WebViewTracer) — JSON, 238,468 code lines
- [bingoYB/ham_home](https://octocounts.com/github/bingoYB/ham_home) — JSON, 217,697 code lines
- [umami-software/umami](https://octocounts.com/github/umami-software/umami) — JSON, 217,603 code lines
- [containers/kubernetes-mcp-server](https://octocounts.com/github/containers/kubernetes-mcp-server) — JSON, 243,779 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)