GITFIND

open-weight adoption — tracked daily

THE OPEN MODEL INDEX

Which open-weight models are developers actually building with? Hugging Face weight downloads and GitHub velocity for DeepSeek, Llama, Qwen, Kimi, Mistral, and GLM — plus the runtime layer that runs them. Every number says what it is; nothing here is made up.

30-day pulls: 5.7Mmodels tracked: 8 + 3 runtimesleader: kimi k3 2.5M/30dfastest riser: qwen3 235b · 40d

§ 1 — weight downloads, daily

fig. 01

5.0M10.0Mapr 30 — 4.7M commitsmay 2 — 154k commitsmay 7 — 795k commitsmay 8 — 4.7M commitsmay 9 — 463k commitsmay 10 — 580k commitsmay 11 — 795k commitsmay 13 — 693k commitsmay 15 — 396k commitsmay 16 — 947k commitsmay 19 — 4.9M commitsmay 21 — 5.3M commitsmay 23 — 592k commitsmay 25 — 4.4M commitsmay 27 — 4.7M commitsmay 29 — 138k commitsmay 30 — 5.0M commitsmay 31 — 1.0M commitsjun 1 — 682k commitsjun 2 — 328k commitsjun 4 — 7.4M commitsjun 6 — 5.7M commitsjun 7 — 5.7M commitsjun 8 — 5.7M commitsjun 11 — 6.0M commitsjun 15 — 218k commitsjun 16 — 100.0k commitsjun 17 — 558k commitsjun 18 — 204k commitsjun 19 — 996k commitsjun 21 — 6.8M commitsjun 24 — 7.0M commitsjun 29 — 696k commitsjun 30 — 171k commitsjul 1 — 8.8M commitsjul 3 — 8.0M commitsjul 4 — 151k commitsjul 5 — 745k commitsjul 7 — 1.1M commitsjul 9 — 8.6M commitsjul 10 — 11.1M commitsjul 11 — 175k commitsjul 12 — 8.7M commitsjul 14 — 142k commitsjul 15 — 10.8M commitsjul 17 — 229k commitsjul 18 — 917k commitsjul 19 — 69.4k commitsjul 20 — 8.6M commitsjul 22 — 10.1M commitsjul 24 — 208k commitsjul 26 — 130k commitsjul 28 — 195k commitsjul 29 — 11.4M commitsjul 30 — 11.4M commitsjul 31 — 11.9M commitsaug 1 — 12.2M commitsaug 2 — 12.0M commitsaug 3 — 12.5M commitsaug 4 — 12.6M commitsaug 5 — 13.1M commitsaug 6 — 13.1M commitsaug 7 — 13.0M commitsaug 8 — 12.8M commitsaug 9 — 12.6M commitsaug 10 — 12.3M commitsaug 11 — 12.2M commitsaug 12 — 12.1M commitsaug 13 — 12.1M commitsaug 14 — 12.3M commitsaug 15 — 12.2M commitsaug 16 — 12.0M commitsaug 17 — 11.7M commitsaug 18 — 11.5M commitsaug 19 — 11.5M commitsaug 20 — 11.3M commitsaug 21 — 10.8M commitsaug 22 — 10.3M commitsaug 23 — 10.1M commitsaug 24 — 9.8M commitsaug 25 — 9.7M commitsaug 26 — 9.6M commitsaug 27 — 8.5M commitsaug 28 — 7.7M commitsaug 29 — 7.7M commitsaug 30 — 7.3M commitsaug 31 — 7.0M commitssep 1 — 6.8M commitssep 2 — 6.8M commitssep 3 — 6.5M commitssep 4 — 5.9M commitssep 5 — 5.9M commitssep 6 — 5.9M commitssep 7 — 5.7M commits5.7Mapr 30may 21jun 7jun 30jul 15jul 31aug 11aug 22sep 7

hugging face trailing 30-day weight downloads per day, across all tracked models.

§ 2 — share of new downloads

fig. 02

43%18%15%14%
kimi k3 43.4%deepseek v3 18.4%llama 3.3 70b 14.7%deepseek r1 13.9%mistral small 3.1 2.9%kimi k2 2.8%qwen3 235b 2.3%glm 4.5 1.4%

share of the trailing 30-day window.

§ 3 — each model, same scale

fig. 03

kimi k3

2.5M/30d · ▲ 88%

deepseek v3

1.0M/30d · ▲ 4%

llama 3.3 70b

835k/30d · ▲ 112%

deepseek r1

790k/30d · ▼ 92%

mistral small 3.1

167k/30d · ▼ 43%

kimi k2

161k/30d · ▼ 10%

qwen3 235b

129k/30d · ▲ 131%

glm 4.5

80.9k/30d · ▼ 34%

trailing 30-day weight downloads per day, averaged over 3-day buckets · all charts share one scale.

§ 4 — momentum, ranked

fig. 04

  • 01qwen3 235bfastest

    129k/30d · ▲ 131% · 40d to double · 2.3%

  • 02llama 3.3 70b

    835k/30d · ▲ 112% · 51d to double · 14.7%

  • 03kimi k3

    2.5M/30d · ▲ 88% · 45d to double · 43.4%

  • 04deepseek v3

    1.0M/30d · ▲ 4% · 779d to double · 18.4%

  • 05kimi k2

    161k/30d · ▼ 10% · — · 2.8%

  • 06glm 4.5

    80.9k/30d · ▼ 34% · — · 1.4%

  • 07mistral small 3.1

    167k/30d · ▼ 43% · — · 2.9%

  • 08deepseek r1

    790k/30d · ▼ 92% · — · 13.9%

§ 5 — the runtime layer

fig. 05

fig. 05 — the runtime layer (what people run open models with)

toolstarsforkscontributors
ollama180k17.7k596
llama.cpp127k22.8k2.0k
vllm91.1k21.8k2.4k

runtimes don’t publish weight downloads — repo traction is the honest proxy here.

§ 6 — intelligence brief

fig. 06

$ tail -f /var/log/gitfind/models.log

09:41:02 8 open models + 3 runtimes tracked — hf trailing-30d downloads + github velocity, nothing fabricated

09:41:03 kimi k3 leads the 30-day window at 2.5M

09:41:04 kimi k3 gained the most rate this month — +1.2M on the 30d window

09:41:05 qwen3 235b is the fastest riser — doubling every 40 days at current pace

09:41:06 ollama leads the runtime layer at 180k★

09:41:07 router share coming when there’s a stable public source — we don’t scrape

09:41:08 █

form 27-b — subscription

THE TUESDAY BRIEFING

The repos that moved this week, why they matter, and what to watch next. One email. No noise.