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

Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF

Name: Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF
Author: DavidAU

Important: This is the first fine tune to exceed 700 "arc-c" (The OpenAI, Claude and Gemini "zone of intelligence") in both 8 bit and 4 bit. This repo contains both "regular" and "MTP" Neo MAX Imatrix GGUF quants. Many other additional quant types avail too. 3rd parties confirm this model's performance in the "community tab". (40B version has entered Beta)

Params

—

Context

—

Downloads 30d

1.6 M

Likes

1,593

Commercial use: allowed apache-2.0 Not gated GGUF 2 languages View on Hugging Face ↗

Download history

daily snapshots · 7 days

1.6 M956 K

Jul 31Aug 2Aug 4Aug 6

Can you run it?

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

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-IQ2_M.gguf	IQ2_M	12.1 GB	13.8 GB	✅ Runs comfortably
Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-IQ3_M.gguf	IQ3_M	14.5 GB	16.5 GB	✅ Runs comfortably
Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-IQ4_XS.gguf	IQ4_XS	17.0 GB	19.2 GB	✅ Runs comfortably
Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-Q4_K_S.gguf	Q4_K_S	17.5 GB	19.8 GB	⚠️ Tight — reduce context
Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-IQ4_NL.gguf	IQ4_NL	17.8 GB	20.0 GB	⚠️ Tight — reduce context
Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-Q4_K_M.gguf	Q4_K_M	18.5 GB	20.8 GB	⚠️ Tight — reduce context
Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-Q5_K_M.gguf	Q5_K_M	21.2 GB	23.8 GB	⚠️ Tight — reduce context
Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-AMD-MTP-Q6_K.gguf	Q6_K	24.0 GB	26.9 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

Licence: apache-2.0
First seen on the Hub: 2026-07-17
Training datasets: DavidAU/Polar-STRICT-Datasets, DavidAU/F451-STRICT-Datasets
Added to our catalog: 2026-07-31

Compare with

Qwen3.5-9B 12.4 M gemma-4-31B-it 11.9 M gemma-4-26B-A4B-it 11.7 M Qwen2.5-VL-7B-Instruct 9.3 M Qwen3.6-35B-A3B-FP8 8.9 M Qwen2.5-VL-3B-Instruct 8.2 M

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB