Llama-3.1-8B-Instruct vs Meta-Llama-3.1-8B-Instruct-AWQ-INT4

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
hugging-quants · B
Params
8.0 B
Context
131,072
30d
167 K
llama3.1 licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.1-8B-Instruct Meta-Llama-3.1-8B-Instruct-AWQ-INT4
Parameters 8.0 B 8.0 B
Architecture LlamaForCausalLM LlamaForCausalLM
Context length 131,072
Licence llama3.1 llama3.1
Commercial use Conditional Conditional
Languages 8 8
Downloads 30d 8,014,793 167,467
Downloads all time 175.3 M 7.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2024-07-18 2024-07-19

Download trend

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

8.0 M167 K
Llama-3.1-8B-Instruct Meta-Llama-3.1-8B-Instruct-AWQ-INT4

VRAM side by side

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

Llama-3.1-8B-Instruct · fp16 19.4 GB / 24 GB
✅ Runs comfortably
Meta-Llama-3.1-8B-Instruct-AWQ-INT4 · fp16 @ 128K ctx 26.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons