Llama 3.1 Nemotron Nano 8B V1 llama-3.1-nemotron-nano-8b-v1
nvidia · nvidia
unranked — no quality signals yet
- params
- 8B
- arch
- dense
- license
- other open weights
# architecture
- layers
- 32
- d_model
- 4096
- heads
- 32q / 8kv
- head dim
- 128
- vocab
- 128256
- 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 — ● 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_intelligence | 0.70 | — |
| bench_composite | 0.30 | 0.0 |
benchmark panel evidence:
| complete panel | score (0–100) |
|---|---|
| aime-2025-v1 | 0.0 |
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
# where to run
no known API providers — download the weights from Hugging Face and run them yourself.
source aliases
- llmstats
llama-3.1-nemotron-nano-8b-v1