ISTA-DASLab / image-text-to-text Open weights updated 2 months ago

Qwen3.8-27B-GSQ-RCO-GGUF

.json, run python tools/makeplots.py tools/results/.json then paste the printed Markdown table into "Results". The header (banner + badges) is shared across all releases. NB: the YAML block must remain the very first bytes of the file (HF requirement). -->

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Downloads 30d
1.4 M
Likes
2,608
Commercial use: allowed apache-2.0 Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 56 days
▲ 128 K in the last 30 days (8.6%)
1.7 M885 K
Sep 16Oct 4Oct 23Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
mmproj-Qwen3.8-27B-BF16.gguf GGUF 0.9 GB 1.5 GB ✅ Runs comfortably
Qwen3.8-27B-GSQ-RCO-IQ2_XS-mtp.gguf IQ2_XS 8.8 GB 10.1 GB ✅ Runs comfortably
Qwen3.8-27B-GSQ-RCO-IQ2_S-mtp.gguf IQ2_S 9.6 GB 11.1 GB ✅ Runs comfortably
Qwen3.8-27B-GSQ-RCO-IQ3_XXS-mtp.gguf IQ3_XXS 10.4 GB 12.0 GB ✅ Runs comfortably
Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp.gguf IQ3_S 12.1 GB 13.8 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Licence
apache-2.0
First seen on the Hub
2026-08-28
Base model
Qwen3.8-27B
Training datasets
undisclosed
Added to our catalog
2026-09-16

Family

Base model and the most-downloaded derivatives in the catalog.

Compare with any image-text-to-text model