Llama-3.2-1B-Instruct vs SmolLM-1.7B-Instruct-quantized.w4a16

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

meta-llama · A
Params
1.2 B
Context
30d
10.4 M
llama3.2 licence · conditional
nm-testing · B
Params
1.8 B
Context
2,048
30d
1.5 M
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Llama-3.2-1B-Instruct SmolLM-1.7B-Instruct-quantized.w4a16
Parameters 1.2 B 1.8 B
Architecture LlamaForCausalLM LlamaForCausalLM
Context length 2,048
Licence llama3.2 apache-2.0
Commercial use Conditional Allowed
Languages 8 1
Downloads 30d 10,412,058 1,506,527
Downloads all time 92.8 M 4.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2024-09-18 2024-08-23

Download trend

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

10.4 M1.4 M
Llama-3.2-1B-Instruct SmolLM-1.7B-Instruct-quantized.w4a16

VRAM side by side

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

SmolLM-1.7B-Instruct-quantized.w4a16 · fp16 2.7 GB / 24 GB
✅ Runs comfortably
Llama-3.2-1B-Instruct · fp16 3.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons