Qwen2.5-7B-Instruct-AWQ vs LFM2.5-2.6B-GGUF

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

Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
1.6 M
apache-2.0 · commercial OK
LiquidAI · B · Open weights
Params
2.6 B
Context
131,072
30d
187 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct-AWQ LFM2.5-2.6B-GGUF
Parameters 7.6 B 2.6 B
Architecture Qwen2ForCausalLM —
Context length 32,768 131,072
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages 1 16
Downloads 30d 1,642,251 186,819
Downloads all time 26.1 M 2.5 M
Quantizations on the Hub SAFETENSORS GGUF, SAFETENSORS
Gated No No
First seen on the Hub 2024-09-17 2026-08-01

Download trend

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

4.7 M187 K
Qwen2.5-7B-Instruct-AWQ LFM2.5-2.6B-GGUF

VRAM side by side

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

LFM2.5-2.6B-GGUF · Q4_0 2.6 GB / 24 GB
✅ Runs comfortably
Qwen2.5-7B-Instruct-AWQ · fp16 7.8 GB / 24 GB
✅ Runs comfortably
LFM2.5-2.6B-GGUF · fp16 @ 128K ctx 18.6 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons