DavidAU / image-text-to-text Open weights updated 1 day ago

Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF

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Params
27.0 B
Context
—
Downloads 30d
1.0 M
Likes
292
Commercial use: allowed apache-2.0 Not gated GGUF 16 languages View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (5 recorded)
1.0 M downloads in the last 30 days

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
Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ2_XS-mtp.gguf IQ2_XS 8.8 GB 14.2 GB ✅ Runs comfortably
Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ2_S-mtp.gguf IQ2_S 9.6 GB 15.1 GB ✅ Runs comfortably
Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_XXS-mtp.gguf IQ3_XXS 10.4 GB 16.0 GB ✅ Runs comfortably
Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp.gguf IQ3_S 12.1 GB 17.9 GB ✅ Runs comfortably
Qwen3.8-27B-Turbo-Brilliance-50X-RI-NEO-MAX-MTP-IQ2_M.gguf IQ2_M 12.1 GB 17.9 GB ✅ Runs comfortably
Qwen3.8-27B-Turbo-Brilliance-50X-RI-NEO-MAX-MTP-IQ3_M.gguf IQ3_M 14.5 GB 20.5 GB ⚠️ Tight — reduce context
Qwen3.8-27B-Turbo-Brilliance-50X-RI-NEO-MAX-MTP-IQ4_XS.gguf IQ4_XS 17.0 GB 23.3 GB ⚠️ Tight — reduce context
Qwen3.8-27B-Turbo-Brilliance-50X-RI-NEO-MAX-MTP-Q4_K_M.gguf Q4_K_M 18.5 GB 24.9 GB ❌ Won’t fit
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Parameters
27.0 B
Licence
apache-2.0
First seen on the Hub
2026-09-29
Base model
Qwen3.8-27B
Training datasets
undisclosed
Added to our catalog
2026-11-06

Family

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

Compare with any image-text-to-text model