Llama-3.1-8B-Instruct vs RnJ-1-Instruct-FP8

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
Doradus-AI · B
Params
8.8 B
Context
32,768
30d
164 K
gemma licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.1-8B-Instruct RnJ-1-Instruct-FP8
Parameters 8.0 B 8.8 B
Architecture LlamaForCausalLM Gemma3ForCausalLM
Context length 32,768
Licence llama3.1 gemma
Commercial use Conditional Conditional
Languages 8 1
Downloads 30d 8,014,793 163,514
Downloads all time 175.3 M 1.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2024-07-18 2025-12-07

Download trend

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

8.0 M164 K
Llama-3.1-8B-Instruct RnJ-1-Instruct-FP8

VRAM side by side

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

RnJ-1-Instruct-FP8 · fp16 15.0 GB / 24 GB
✅ Runs comfortably
Llama-3.1-8B-Instruct · fp16 19.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons