Ling-1T ling-1t

inclusionai · ling flagship

#78 overall

params
1000B (A50B)
arch
moe
license
mit open weights
released
Oct 2025
train compute
6.0e+24 FLOP

# architecture

attn shared GQA 64q/8kv router top-8 of 256 +1 shared expert ×256 expert out ×80 layers 1000B pool · A50B/token
layers
80
d_model
8192
heads
64q / 8kv
head dim
128
experts
top-8 of 256 + 1 shared
vocab
157184
family
bailing_moe

signal path of one layer, generated from the registry's structured fields — dimension lines quote the model's real numbers; an MoE trace forks at the router, a dense trace runs straight through. Geometry fields come from the repo's config.json.

# why ranked

Overall: #78 — score 29.1 ● low — a single signal; treat with caution

signalweightinput (0–100)
aa_intelligence 0.70 25.6
bench_composite 0.30 37.2

benchmark panel evidence:

complete panelscore (0–100)
aa-math-v137.2

full methodology

# trend

OGM score · last 102 days
OGM score over 102 days
overall rank (up is better)
Overall rank over 102 days

methodology changed during this history window; score movement across that boundary is not model movement. See methodology v6.

# benchmarks

benchmarkscoresourcedate
AA Intelligence Index 9.2 Artificial Analysis —
AA Math Index 71.3 Artificial Analysis —

# where to run

no known API providers — download the weights from Hugging Face and run them yourself.

source aliases
epoch
Ling-1T