Qwen3-8B vs LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF

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

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

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-8B LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-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 — 16
Downloads 30d 6,837,564 881,096
Downloads all time 137.6 M 881 K
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2025-04-27 2026-10-13

Download trend

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

16.4 M171 K
Qwen3-8B LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-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

Adjacent comparisons