Llama-3.1-8B-Instruct vs NVIDIA-Nemotron-3-Nano-4B-BF16
Specs, VRAM requirements and download trends — updated 20 September 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Llama-3.1-8B-Instruct | NVIDIA-Nemotron-3-Nano-4B-BF16 |
|---|---|---|
| Parameters | 8.0 B | 4.0 B |
| Architecture | LlamaForCausalLM | NemotronHForCausalLM |
| Context length | — | 262,144 |
| Licence | llama3.1 | other |
| Commercial use | Conditional | Unknown |
| Languages | 8 | 1 |
| Downloads 30d | 5,919,746 | 3,485,601 |
| Downloads all time | 184.9 M | 6.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2024-07-18 | 2026-03-07 |
Download trend
Daily snapshots, last 55 days (28 Jul – 20 Sep)
8.0 M378 K
Llama-3.1-8B-Instruct
NVIDIA-Nemotron-3-Nano-4B-BF16
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Llama-3.1-8B-Instruct · fp16
19.4 GB / 24 GB
NVIDIA-Nemotron-3-Nano-4B-BF16 · fp16 @ 256K ctx
28.3 GB / 24 GB