QuantTrio / text-generation Open weights updated 1 year ago

Qwen3-VL-30B-A3B-Instruct-AWQ

Name: Qwen3-VL-30B-A3B-Instruct-AWQ
Author: QuantTrio

As of 2025-10-08, create a fresh Python environment and run: bash uv venv source .venv/bin/activate

Params

31.1 B

Context

—

Downloads 30d

163 K

Likes

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

Download history

daily snapshots · 106 days

▲ 336 K in the last 30 days (67.4%)

1.6 M163 K

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	17.9 GB	24.8 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-vl-30b-a3b-instruct-awq
{
  "hf_id": "QuantTrio/Qwen3-VL-30B-A3B-Instruct-AWQ",
  "params_b": 31.07,
  "context_length": null,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 162536,
  "vram_estimates": [
    { "quant": "i32", "gb": 24.8 }
  ],
  "updated_at": "2026-07-28T18:03:26Z"
}

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

Specifications

Architecture: Qwen3VLMoeForConditionalGeneration
Parameters: 31.1 B
Tensor type: I32
Licence: apache-2.0
First seen on the Hub: 2025-10-04
Base model: Qwen3-VL-30B-A3B-Instruct
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base Qwen3-VL-30B-A3B-Instruct Qwen 860 K

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