Alennnndy / text-generation Open weights updated 3 months ago

Qwen3.6-27B-AWQ-4bit

Name: Qwen3.6-27B-AWQ-4bit
Author: Alennnndy

This repository contains an optimized, 4-bit quantized version of the original Qwen3.6-27B model by Alibaba Cloud.

Params

27.7 B

Context

—

Downloads 30d

302 K

Likes

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

Download history

daily snapshots · 8 days

302 K180 K

Oct 17Oct 19Oct 22Oct 24

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.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-6-27b-awq-4bit
{
  "hf_id": "Alennnndy/Qwen3.6-27B-AWQ-4bit",
  "params_b": 27.74,
  "context_length": null,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 302079,
  "vram_estimates": [
    { "quant": "i32", "gb": 25.2 }
  ],
  "updated_at": "2026-10-17T01:00:13Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Qwen3_5ForConditionalGeneration
Parameters: 27.7 B
Tensor type: I32
Licence: apache-2.0
First seen on the Hub: 2026-07-03
Base model: Qwen3.6-27B
Training datasets: undisclosed
Added to our catalog: 2026-10-17

Family

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

Base Qwen3.6-27B Qwen 2.4 M

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