Llama-3.1-8B-Instruct vs Gemma-4-E4B-DECKARD-HERETIC-NVFP4

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

meta-llama · A
Params
8.0 B
Context
30d
8.0 M
llama3.1 licence · conditional
AEON-7 · B
Params
6.2 B
Context
30d
217 K
gemma licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.1-8B-Instruct Gemma-4-E4B-DECKARD-HERETIC-NVFP4
Parameters 8.0 B 6.2 B
Architecture LlamaForCausalLM Gemma4ForConditionalGeneration
Context length
Licence llama3.1 gemma
Commercial use Conditional Conditional
Languages 8 1
Downloads 30d 8,014,793 217,459
Downloads all time 175.3 M 249 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2024-07-18 2026-04-13

Download trend

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

8.0 M217 K
Llama-3.1-8B-Instruct Gemma-4-E4B-DECKARD-HERETIC-NVFP4

VRAM side by side

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

Gemma-4-E4B-DECKARD-HERETIC-NVFP4 · fp16 12.6 GB / 24 GB
✅ Runs comfortably
Llama-3.1-8B-Instruct · fp16 19.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons