MiniCPM5 1B minicpm5-1b

openbmb · minicpm efficient

unranked — no quality signals yet

params
1.1B
arch
dense
license
apache-2.0 open weights
released
May 2026
downloads/30d
691.2k

# architecture

attn shared GQA 16q/2kv feed-forward (dense) every parameter, every token out ×24 layers 1.1B — no routing
layers
24
d_model
1536
heads
16q / 2kv
head dim
128
vocab
130560
family
llama

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 21.6 ● 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 21.6
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 6.2 Artificial Analysis

# where to run

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