Llama-3.1-8B-Instruct vs Vikhr-Nemo-12B-Instruct-R-21-09-24
Specs, VRAM requirements and download trends — updated 6 August 2026.
Vikhrmodels · B
Params
12.3 B
Context
1,024,000
30d
396 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Llama-3.1-8B-Instruct | Vikhr-Nemo-12B-Instruct-R-21-09-24 |
|---|---|---|
| Parameters | 8.0 B | 12.3 B |
| Architecture | LlamaForCausalLM | MistralForCausalLM |
| Context length | — | 1,024,000 |
| Licence | llama3.1 | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | 8 | 2 |
| Downloads 30d | 8,014,793 | 396,277 |
| Downloads all time | 175.3 M | 3.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2024-07-18 | 2024-09-20 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
8.0 M396 K
Llama-3.1-8B-Instruct
Vikhr-Nemo-12B-Instruct-R-21-09-24
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Llama-3.1-8B-Instruct · fp16
19.4 GB / 24 GB
Vikhr-Nemo-12B-Instruct-R-21-09-24 · fp16 @ 1000K ctx
258.6 GB / 24 GB