A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
How fast groundingpi/GroundingPI 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 12 – Oct 22, 2026
Stars +129in 11 days
02040
37
Forks +10in 11 days
0123
3
Merged PRs 1in 11 days
01
1
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
Oct 12Oct 14Oct 16Oct 18Oct 20Oct 22
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
Mon, Oct 12, 2026
+0
+0
0
Tue, Oct 13, 2026
+6
+0
0
Wed, Oct 14, 2026
+37
+3
1
Thu, Oct 15, 2026
+26
+0
0
Fri, Oct 16, 2026
+4
+0
0
Sat, Oct 17, 2026
+9
+0
0
Sun, Oct 18, 2026
+14
+0
0
Mon, Oct 19, 2026
+6
+3
0
Tue, Oct 20, 2026
+10
+2
0
Wed, Oct 21, 2026
+15
+1
0
Thu, Oct 22, 2026
+2
+1
0
Total
+129
+10
1
1#1 on the list
7Rank that day
Not trending
Social mentions
Recent discussions about this repository across the web
2 posts
🤖 GroundingPI: What foundation model does embodied AI need? 4B parameters. SOTA overall across 34 grounding benchmarks, surpassing GPT-6 Astra! By training precise perception as a native capability,…
Verdict: Solid result, will likely replicate—rigorous 44-baseline evaluation across 11 perceptual tasks with gains holding across grounding, manipulation, and autonomous driving.
A 4B diffusion grounding model for fast, precise visual evidence extraction. Unifies diverse grounding tasks through parallel decoding, with optional self-speculative decoding delivering 4.51x autoregressive throughput on COCO.
