Qwen / text-generation updated 1 year ago

Qwen3-32B-AWQ

Name: Qwen3-32B-AWQ
Author: Qwen

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:

Params

32.8 B

Context

40,960

Downloads 30d

651 K

Likes

138

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

Download history

daily snapshots · 10 days

2.0 M647 K

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	19.3 GB	26.7 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 40K ctx	19.3 GB	46.3 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/qwen3-32b-awq
{
  "hf_id": "Qwen/Qwen3-32B-AWQ",
  "params_b": 32.76,
  "context_length": 40960,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 651348,
  "vram_estimates": [
    { "quant": "i32", "gb": 26.7 }
  ],
  "updated_at": "2026-07-28T17:08:03Z"
}

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

Specifications

Architecture: Qwen3ForCausalLM
Parameters: 32.8 B
Tensor type: I32
Context length: 40,960
Vocabulary: 151,936
Layers / heads: 64 / 64
Licence: apache-2.0
First seen on the Hub: 2025-05-01
Base model: Qwen3-32B
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base Qwen3-32B Qwen 8.3 M

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 Qwen3-14B 2.8 M

Appears in

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