Qwen3-8B vs LFM2.5-24B-A2B-GGUF

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

Qwen · A · Open weights
Params
8.2 B
Context
40,960
30d
8.2 M
apache-2.0 · commercial OK
LiquidAI · B · Open weights
Params
24.0 B
Context
131,072
30d
177 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-8B LFM2.5-24B-A2B-GGUF
Parameters 8.2 B 24.0 B
Architecture Qwen3ForCausalLM —
Context length 40,960 131,072
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 10
Downloads 30d 8,164,793 176,551
Downloads all time 133.8 M 177 K
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2025-04-27 2026-10-09

Download trend

Daily snapshots, last 90 days (28 Jul – 25 Oct)

16.6 M144 K
Qwen3-8B LFM2.5-24B-A2B-GGUF

VRAM side by side

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

Qwen3-8B · fp16 19.7 GB / 24 GB
⚠️ Tight — reduce context
LFM2.5-24B-A2B-GGUF · Q4_K_M 20.1 GB / 24 GB
⚠️ Tight — reduce context

Adjacent comparisons