Ling-1T ling-1t

inclusionai · ling flagship

unranked — no quality signals yet

params
1000B (A50B)
arch
moe
license
mit open weights
released
Oct 2025
train compute
6.0e+24 FLOP
downloads/30d
2.7k

# 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: provisional — score 22.7 ● low — a single signal; treat with caution

provisional: too few independent signals for a numbered position — the score is shown, but this model sorts after every ranked model.

signalweightinput (0–100)
aa_intelligence 0.70 22.7
bench_composite 0.30

missing signals are dropped and the remaining weights renormalized — never imputed.

full methodology

# trend

OGM score · last 51 days
OGM score over 51 days

methodology changed during this history window; score movement across that boundary is not model movement. See methodology v5.

# benchmarks

benchmarkscoresourcedate
AA Intelligence Index 6.9 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