Qwen / text-generation updated 1 year ago

Qwen-72B

Name: Qwen-72B
Author: Qwen

🤗 Hugging Face&nbsp&nbsp &nbsp&nbsp🤖 ModelScope&nbsp&nbsp &nbsp&nbsp 📑 Paper &nbsp&nbsp ｜ &nbsp&nbsp🖥️ Demo WeChat (微信)&nbsp&nbsp &nbsp&nbspDiscord&nbsp&nbsp ｜ &nbsp&nbspAPI

Params

72.3 B

Context

32,768

Downloads 30d

2.2 M

Likes

360

Licence: other Not gated SAFETENSORS 2 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

2.2 M1.4 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	bf16	144.6 GB	170.4 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 32K ctx	144.6 GB	202.9 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/qwen-72b
{
  "hf_id": "Qwen/Qwen-72B",
  "params_b": 72.29,
  "context_length": 32768,
  "license": { "id": "other", "commercial": "unknown" },
  "downloads_30d": 2152908,
  "vram_estimates": [
    { "quant": "bf16", "gb": 170.4 }
  ],
  "updated_at": "2026-07-28T18:03:14Z"
}

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

Specifications

Architecture: QWenLMHeadModel
Parameters: 72.3 B
Tensor type: BF16
Context length: 32,768
Vocabulary: 152,064
Layers / heads: 80 / 64
Licence: other
First seen on the Hub: 2023-11-26
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

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 gpt-oss-120b 4.2 M NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 2.8 M

Appears in

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