QuantTrio / text-generation updated 9 months 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

1.2 M

Likes

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

Download history

daily snapshots · 10 days

1.2 M1.1 M

Jul 28Jul 31Aug 3Aug 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
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": 1151407,
  "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

Compare with

Qwen3-8B 16.3 M Qwen3.6-35B-A3B-NVFP4 11.3 M gpt-oss-20b 8.6 M Qwen3-32B 8.3 M dolphin-2.9.1-yi-1.5-34b 4.6 M OTel-2.0-LLM-31B-IT 3.3 M

Appears in

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