Qwen3.8-Flash-Next-GSQ-RCO-GGUF vs Qwen2.5-VL-3B-Instruct-AWQ
Specs, VRAM requirements and download trends — updated 2 November 2026.
ISTA-DASLab · A · Open weights
Params
180.0 B
Context
—
30d
6.8 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3.8-Flash-Next-GSQ-RCO-GGUF | Qwen2.5-VL-3B-Instruct-AWQ |
|---|---|---|
| Parameters | 180.0 B | 3.8 B |
| Architecture | — | Qwen2_5_VLForConditionalGeneration |
| Context length | — | 128,000 |
| Licence | apache-2.0 | — |
| Commercial use | Allowed | Unknown |
| Languages | — | 1 |
| Downloads 30d | 6,843,896 | 867,836 |
| Downloads all time | 11.0 M | 4.2 M |
| Quantizations on the Hub | GGUF | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-09-07 | 2025-02-13 |
Download trend
Daily snapshots, last 40 days (2 Oct – 10 Nov)
7.8 M867 K
Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen2.5-VL-3B-Instruct-AWQ
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-VL-3B-Instruct-AWQ · fp16 @ 125K ctx
13.0 GB / 24 GB
Adjacent comparisons
Qwen3.8-Flash-Next-GSQ-RCO-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF
GLM-5.3-Flash vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.8-Flash-Next vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.6-35B-A3B-MTP-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF