Llama-3.1-8B-Instruct vs gemma4-e4b-claims-comparison

Specs, VRAM requirements and download trends — updated 21 September 2026.

meta-llama · A
Params
8.0 B
Context
30d
5.9 M
llama3.1 licence · conditional
k-chirkunov · B
Params
7.9 B
Context
30d
450 K
gemma licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.1-8B-Instruct gemma4-e4b-claims-comparison
Parameters 8.0 B 7.9 B
Architecture LlamaForCausalLM Gemma4ForConditionalGeneration
Context length
Licence llama3.1 gemma
Commercial use Conditional Conditional
Languages 8 2
Downloads 30d 5,910,102 449,870
Downloads all time 185.1 M 829 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated Yes — accept licence Yes — accept licence
First seen on the Hub 2024-07-18 2026-07-14

Download trend

Daily snapshots, last 56 days (28 Jul – 21 Sep)

8.0 M170 K
Llama-3.1-8B-Instruct gemma4-e4b-claims-comparison

VRAM side by side

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

gemma4-e4b-claims-comparison · fp16 19.2 GB / 24 GB
✅ Runs comfortably
Llama-3.1-8B-Instruct · fp16 19.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons