Qwen3-0.6B vs LFM2.5-350M-GGUF

Specs, VRAM requirements and download trends — updated 10 November 2026.

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

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-0.6B LFM2.5-350M-GGUF
Parameters 750 M 350 M
Architecture Qwen3ForCausalLM —
Context length 40,960 128,000
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 8
Downloads 30d 20,728,069 164,626
Downloads all time 261.3 M 455 K
Quantizations on the Hub SAFETENSORS GGUF, SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2026-03-25

Download trend

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

31.2 M142 K
Qwen3-0.6B LFM2.5-350M-GGUF

VRAM side by side

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

LFM2.5-350M-GGUF · Q4_0 0.8 GB / 24 GB
✅ Runs comfortably
Qwen3-0.6B · fp16 2.3 GB / 24 GB
✅ Runs comfortably
LFM2.5-350M-GGUF · fp16 @ 125K ctx 2.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons