fidzu : debian

It seems my own plans and life's plans diverged this spring, so I am in the market for a new job. So if you're looking for someone with a long track record making your code go brrr really fast, give me a ping (contact information at my homepage). Working from Oslo (on-site or remote), CV available upon request. No AI boosterism or cryptocurrency grifters, please :-)

14 Apr 2026 4:00pm GMT

A maintenance release 0.3.13 of the anytime package arrived on CRAN today, sticking with the roughly yearly schedule we have now. Binaries for r2u have been built already. The package is fairly feature-complete, and code and functionality remain mature and stable.

anytime is a very focused package aiming to do just one thing really well: to convert anything in integer, numeric, character, factor, ordered, … input format to either POSIXct (when called as anytime) or Date objects (when called as anydate) - and to do so without requiring a format string as well as accomodating different formats in one input vector. See the anytime page, the GitHub repo for a few examples, the nice pdf vignette, and the beautiful documentation site for all documentation.

This release was triggered by a bizarre bug seen on elementary os 8. For "reason" anytime was taking note on startup where it runs, and used a small and simply piece of code reading /etc/os-release when it exists. We assumed sane content, but this particular operating system and releases managed to have a duplicate entry throwing us spanner. So now this code is robust to duplicates, and no longer executed on each startup but "as needed" which is a net improvement. We also switched the vignette to being deployed by the new Rcpp::asis() driver.

The short list of changes follows.

Changes in anytime version 0.3.13 (2026-04-14)

• Continuous integration has received minor updates

• The vignette now use the Rcpp::asis() driver, and references have been refreshed

• Stateful 'where are we running' detection is now more robust, and has been moved from running on each startup to a cached 'as needed' case

Courtesy of my CRANberries, there is also a diffstat report of changes relative to the previous release. The issue tracker tracker off the GitHub repo can be use for questions and comments. More information about the package is at the package page, the GitHub repo, in the vignette, and at the documentation site.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can now sponsor me at GitHub. You can also sponsor my Tour de Shore 2026 ride in support of the Maywood Fine Arts Center.

14 Apr 2026 3:07pm GMT

At last, I can run my own large language model artificial idiocy generator at home on a Debian testing host using Debian packages directly from the Debian archive. After months of polishing the llama.cpp, whisper.cpp and ggml packages, and their dependencies, I was very happy to see today that they all entered Debian testing this morning. Several release-critical issues in dependencies have been blocking the migration for the last few weeks, and now finally the last one of these has been fixed. I would like to extend a big thanks to everyone involved in making this happen.

I've been running home-build editions of whisper.cpp and llama.cpp packages for a while now, first building from the upstream Git repository and later, as the Debian packaging progressed, from the relevant Salsa Git repositories for the ROCM packages, GGML, whisper.cpp and llama.cpp. The only snag with the official Debian packages is that the JavaScript chat client web pages are slightly broken in my setup, where I use a reverse proxy to make my home server visible on the public Internet while the included web pages only want to communicate with localhost / 127.0.0.1. I suspect it might be simple to fix by making the JavaScript code dynamically look up the URL of the current page and use that to determine where to find the API service, but until someone fixes BTS report #1128381, I just have to edit /usr/share/llama.cpp-tools/llama-server/themes/simplechat/simplechat.js every time I upgrade the package. I start my server like this on my machine with a nice AMD GPU (donated to me as a Debian developer by AMD two years ago, thank you very much):

  LC_ALL=C llama-server \
    -ngl 256  \
    -c $(( 42 * 1024)) \
    --temp 0.7 \
    --repeat_penalty 1.1 \
    -n -1 \
    -m Qwen3-Coder-30B-A3B-Instruct-Q5_K_S.gguf

It only takes a few minutes to load the model for the first time and prepare a nice API server for me at https://my.reverse.proxy.example.com:8080/v1/, available (note, this sets up the server up without authentication; use a reverse proxy with authentication if you need it) for all the API clients I care to test. I switch models regularly to test different new ones, the Qwen3-Coder one just happen to be the one I use at the moment. Perhaps these packages is something for you to have fun with too?

As usual, if you use Bitcoin and want to show your support of my activities, please send Bitcoin donations to my address 15oWEoG9dUPovwmUL9KWAnYRtNJEkP1u1b.

14 Apr 2026 12:15pm GMT