vntl-llama3-8b-v2-gguf vs sarvam-translate

Specs, VRAM requirements and download trends — updated 6 August 2026.

lmg-anon · A
Params
Context
30d
774 K
llama3 licence · conditional
sarvamai · B
Params
4.3 B
Context
30d
60 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification vntl-llama3-8b-v2-gguf sarvam-translate
Parameters 4.3 B
Architecture Gemma3ForConditionalGeneration
Context length
Licence llama3 gpl-3.0
Commercial use Conditional Unknown
Languages 2 23
Downloads 30d 774,149 59,722
Downloads all time 5.7 M 381 K
Quantizations on the Hub GGUF SAFETENSORS
Gated No No
First seen on the Hub 2025-01-02 2025-06-07

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

782 K59 K
vntl-llama3-8b-v2-gguf sarvam-translate

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

sarvam-translate · fp16 10.6 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons