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authorPaul Buetow <paul@buetow.org>2026-07-24 20:32:28 +0300
committerPaul Buetow <paul@buetow.org>2026-07-24 20:32:28 +0300
commitfe2f3d99de83cb9cda7baba84387fe12a2555999 (patch)
treef35adcc71c9b50c434e0b11fb892fc2059febd1d /gemfeed/2026-06-01-gt-calculator.gmi.tpl
parent0cceb2bd7d227164f0a376f4f89fc10b8e9b4cd5 (diff)
swap to github due to codeberg policy
Diffstat (limited to 'gemfeed/2026-06-01-gt-calculator.gmi.tpl')
-rw-r--r--gemfeed/2026-06-01-gt-calculator.gmi.tpl6
1 files changed, 3 insertions, 3 deletions
diff --git a/gemfeed/2026-06-01-gt-calculator.gmi.tpl b/gemfeed/2026-06-01-gt-calculator.gmi.tpl
index 6bf93e12..7d01d753 100644
--- a/gemfeed/2026-06-01-gt-calculator.gmi.tpl
+++ b/gemfeed/2026-06-01-gt-calculator.gmi.tpl
@@ -10,7 +10,7 @@ The answer is: well enough for small projects like this.
If you want the full feature guide, the README links to a detailed doc for every feature covered here and more:
-=> https://codeberg.org/snonux/gt gt on Codeberg
+=> https://github.com/snonux/gt gt on Codeberg
=> ./gt-calculator/logo.svg gt logo
The whole thing — code, tests, documentation, even the logo — was built using only LLMs that can run locally on reasonable hardware: Qwen, Gemma, Nemotron, GPT-OSS. To be honest, I didn't run them locally either — I rented Hyperstack VMs with NVidia GPU just to get a feel for the quality before investing in hardware. The point was to test models that don't require a cloud API and could realistically run on your own box.
@@ -449,7 +449,7 @@ In practice this means tab-completion for all 36 constants, every metric unit (b
## Installation
```sh
-go install codeberg.org/snonux/gt/cmd/gt@latest
+go install github.com/snonux/gt/cmd/gt@latest
```
Or from the source directory: `mage install`.
@@ -462,7 +462,7 @@ The local LLM experiment worked. The code is clean enough, the tests pass, the d
For the complete and always-up-to-date feature guide, detailed docs for every feature, and the source code, head to the repo.
-=> https://codeberg.org/snonux/gt gt on Codeberg
+=> https://github.com/snonux/gt gt on Codeberg
But will I now invest a couple of thousand dollars in hardware to run Qwen 3 Coder Next, Qwen 3.6 35B or 27B? (I used the dense 27B model most of the time to build `gt`). Unfortunately, no. I don't think it's worth the cost yet, as cloud models are still cheaper and more convenient and the frontier ones also much more "intelligent".