Qwen3-0.6B-FP8 vs LFM2.5-1.2B-Instruct

Specs, VRAM requirements and download trends — updated 30 July 2026.

Qwen · A · Open weights
Params
750 M
Context
40,960
30d
138 K
apache-2.0 · commercial OK
LiquidAI · B · Open weights
Params
1.2 B
Context
128,000
30d
201 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-0.6B-FP8 LFM2.5-1.2B-Instruct
Parameters 750 M 1.2 B
Architecture Qwen3ForCausalLM Lfm2ForCausalLM
Context length 40,960 128,000
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 8
Downloads 30d 138,488 201,456
Downloads all time 13.5 M 2.6 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-28 2026-01-06

Download trend

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

1.2 M138 K
Qwen3-0.6B-FP8 LFM2.5-1.2B-Instruct

VRAM side by side

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

Qwen3-0.6B-FP8 · fp16 1.8 GB / 24 GB
✅ Runs comfortably
LFM2.5-1.2B-Instruct · fp16 @ 125K ctx 5.8 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons