groxaxo / image-text-to-text Open weights updated 6 months ago

Qwen3.6-27B-GPTQ-Pro-4bit

Name: Qwen3.6-27B-GPTQ-Pro-4bit
Author: groxaxo

Welcome to Qwen36-27B-GPTQ-Pro-4Bit – a titan of reasoning and generation, elegantly squeezed into a remarkably efficient 4-bit package. It punches leagues above its weight class while keeping your VRAM happy and your inference speeds blazingly fast! Thank you Qwen team for another amazing model.

Params

27.4 B

Context

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Downloads 30d

909 K

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Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 106 days

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Jul 28Sep 1Oct 6Nov 10

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
model.safetensors	i32	18.7 GB	25.2 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

Architecture: Qwen3_5ForConditionalGeneration
Parameters: 27.4 B
Tensor type: I32
Licence: apache-2.0
First seen on the Hub: 2026-04-22
Base model: Qwen3.6-27B
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base Qwen3.6-27B Qwen 2.3 M

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