Qwen3.6-27B-FP8 vs SmolVLM-256M-Instruct

Specs, VRAM requirements and download trends — updated 28 July 2026.

Qwen · A · Open weights
Params
27.8 B
Context
—
30d
1.4 M
apache-2.0 · commercial OK
HuggingFaceTB · B · Open weights
Params
260 M
Context
—
30d
872 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.6-27B-FP8 SmolVLM-256M-Instruct
Parameters 27.8 B 260 M
Architecture Qwen3_5ForConditionalGeneration Idefics3ForConditionalGeneration
Context length — —
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — 1
Downloads 30d 1,439,590 871,636
Downloads all time 37.1 M 7.5 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-04-21 2025-01-17

Download trend

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

9.5 M872 K
Qwen3.6-27B-FP8 SmolVLM-256M-Instruct

VRAM side by side

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

SmolVLM-256M-Instruct · fp16 1.1 GB / 24 GB
✅ Runs comfortably
Qwen3.6-27B-FP8 · fp16 38.6 GB / 24 GB
❌ Won’t fit

Adjacent comparisons