Bulk classification and decision inference on one GPU: the content is read once, every question about it is scored in the same pass. OpenAI-compatible, Apache 2.0
How fast spinfinc/spinf-serve is gaining stars, and where it lands on Trendshift and GitHub Trending
Activity and trending
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Oct 29 – Nov 5, 2026
Stars +14in 8 days
0510
9
Forks +0in 8 days
01
Merged PRs 0in 8 days
01
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
Oct 29Oct 30Oct 31Nov 1Nov 2Nov 3Nov 4Nov 5
The left and right arrow keys step from day to day; Home and End go to the first and the last
Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day
Stars gained
Forks gained
Merged PRs
Thu, Oct 29, 2026
+0
+0
0
Fri, Oct 30, 2026
+9
+0
0
Sat, Oct 31, 2026
+4
+0
0
Sun, Nov 1, 2026
+0
+0
0
Mon, Nov 2, 2026
+1
+0
0
Tue, Nov 3, 2026
+0
+0
0
Wed, Nov 4, 2026
+0
+0
0
Thu, Nov 5, 2026
+0
+0
0
Total
+14
+0
0
1#1 on the list
7Rank that day
Not trending
Social mentions
Recent discussions about this repository across the web
1 post
spinf-serve branches many scoring questions from one content pass. It targets bulk decisions rather than chat. Check throughput and probability calibration on your own data. #BulkScoring…
Turn local language models into Jev-style structured decision models. Get results from text and images with prefill alone—no token-by-token decoding required.
Millisecond decisions, any domain: a 0.8B open "System 1" model that picks between your options with calibrated probabilities. One base, swappable LoRA adapters, on your own hardware.
