Nemotron Cascade 2 30B A3B nemotron-cascade-2-30b-a3b
nvidia · nvidia
#62 overall
- params
- 31.6B
- arch
- moe
- license
- other open weights
# architecture
- layers
- 52
- d_model
- 2688
- heads
- 32q / 2kv
- head dim
- 128
- experts
- top-6 of 128 + 1 shared
- vocab
- 131072
- family
- nemotron_h
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: #62 — score 41.7 ● low — a single signal; treat with caution
| signal | weight | input (0–100) |
|---|---|---|
| aa_intelligence | 0.70 | 42.3 |
| bench_composite | 0.30 | 40.3 |
benchmark panel evidence:
| complete panel | score (0–100) |
|---|---|
| aa-coding-v1 | 40.3 |
Coding: provisional — score 30.1 ● 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.
| signal | weight | input (0–100) |
|---|---|---|
| aa_coding | 0.30 | 30.1 |
| aider_polyglot | 0.30 | — |
| swe_bench_verified | 0.40 | — |
missing signals are dropped and the remaining weights renormalized — never imputed.
# trend
methodology changed during this history window; score movement across that boundary is not model movement. See methodology v6.
# benchmarks
| benchmark | score | source | date |
|---|---|---|---|
| AA Coding Index | 25.3 | Artificial Analysis | — |
| AA Intelligence Index | 11.7 | Artificial Analysis | — |
# where to run
no known API providers — download the weights from Hugging Face and run them yourself.
source aliases
- aa
nemotron-cascade-2-30b-a3b