Qwen2.5-7B-Instruct-AWQ vs bge-reranker-v2.5-gemma2-lightweight-gptq

Specs, VRAM requirements and download trends — updated 20 September 2026.

Qwen · A
Params
7.6 B
Context
32,768
30d
3.5 M
apache-2.0 · commercial OK
boboliu · B
Params
9.2 B
Context
8,192
30d
534 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct-AWQ bge-reranker-v2.5-gemma2-lightweight-gptq
Parameters 7.6 B 9.2 B
Architecture Qwen2ForCausalLM CostWiseGemmaForCausalLM
Context length 32,768 8,192
Licence apache-2.0
Commercial use Allowed Unknown
Languages 1
Downloads 30d 3,513,666 533,952
Downloads all time 22.8 M 534 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-17 2024-09-13

Download trend

Daily snapshots, last 55 days (28 Jul – 20 Sep)

4.7 M256 K
Qwen2.5-7B-Instruct-AWQ bge-reranker-v2.5-gemma2-lightweight-gptq

VRAM side by side

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

Qwen2.5-7B-Instruct-AWQ · fp16 7.8 GB / 24 GB
✅ Runs comfortably
bge-reranker-v2.5-gemma2-lightweight-gptq · fp16 8.7 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons