HauhauCS / image-text-to-text updated 1 month ago

Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF

> HauhauCS FastMTP: up to 3.02x document TG and 1.93x reasoning TG versus non-MTP — plus up to 35.2% more document TG and 21.1% more reasoning TG than standard embedded MTP.

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Context
Downloads 30d
2.3 M
Likes
1,307
Commercial use: allowed apache-2.0 Not gated GGUF 3 languages View on Hugging Face ↗

Download history

daily snapshots · 25 days
2.4 M912 K
Aug 27Sep 4Sep 12Sep 20

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-Uncensored-HauhauCS-Aggressive-BF16.gguf GGUF 0.9 GB 1.5 GB ✅ Runs comfortably
Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-IQ2_M.gguf IQ2_M 10.3 GB 11.9 GB ✅ Runs comfortably
Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-Q2_K_P.gguf Q2_K_P 10.7 GB 12.2 GB ✅ Runs comfortably
Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-IQ3_XS.gguf IQ3_XS 12.2 GB 13.9 GB ✅ Runs comfortably
Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-IQ3_M.gguf IQ3_M 12.8 GB 14.6 GB ✅ Runs comfortably
Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-Q3_K_P.gguf Q3_K_P 13.4 GB 15.3 GB ✅ Runs comfortably
Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-IQ4_XS.gguf IQ4_XS 15.7 GB 17.8 GB ✅ Runs comfortably
Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf Q4_K_P 17.9 GB 20.2 GB ⚠️ Tight — reduce context
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
2026-08-17
Base model
Qwen3.8-27B
Training datasets
undisclosed
Added to our catalog
2026-08-27

Family

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

Compare with any image-text-to-text model