Qwen3-0.6B vs SmolLM-1.7B-Instruct-quantized.w4a16

Specs, VRAM requirements and download trends — updated 25 October 2026.

Qwen · A · Open weights
Params
750 M
Context
40,960
30d
20.7 M
apache-2.0 · commercial OK
nm-testing · B · Open weights
Params
1.8 B
Context
2,048
30d
152 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-0.6B SmolLM-1.7B-Instruct-quantized.w4a16
Parameters 750 M 1.8 B
Architecture Qwen3ForCausalLM LlamaForCausalLM
Context length 40,960 2,048
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — 1
Downloads 30d 20,728,069 151,608
Downloads all time 261.3 M 5.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2024-08-23

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

31.2 M152 K
Qwen3-0.6B SmolLM-1.7B-Instruct-quantized.w4a16

VRAM side by side

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

Qwen3-0.6B · fp16 2.3 GB / 24 GB
✅ Runs comfortably
SmolLM-1.7B-Instruct-quantized.w4a16 · fp16 2.7 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons