vntl-llama3-8b-v2-gguf vs mbart-large-50-many-to-many-mmt
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | vntl-llama3-8b-v2-gguf | mbart-large-50-many-to-many-mmt |
|---|---|---|
| Parameters | — | 610 M |
| Architecture | — | MBartForConditionalGeneration |
| Context length | — | 1,024 |
| Licence | llama3 | — |
| Commercial use | Conditional | Unknown |
| Languages | 2 | 53 |
| Downloads 30d | 774,149 | 79,905 |
| Downloads all time | 5.7 M | 9.0 M |
| Quantizations on the Hub | GGUF | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-01-02 | 2022-03-02 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
782 K80 K
vntl-llama3-8b-v2-gguf
mbart-large-50-many-to-many-mmt
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
mbart-large-50-many-to-many-mmt · fp16
3.3 GB / 24 GB