Qwen / text-generation updated 1 year ago

Qwen2.5-72B-Instruct-AWQ

Name: Qwen2.5-72B-Instruct-AWQ
Author: Qwen

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

Params

73.0 B

Context

32,768

Downloads 30d

1.3 M

Likes

Licence: other Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.3 M1.3 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	41.6 GB	57.2 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 32K ctx	41.6 GB	90.0 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/qwen2-5-72b-instruct-awq
{
  "hf_id": "Qwen/Qwen2.5-72B-Instruct-AWQ",
  "params_b": 72.96,
  "context_length": 32768,
  "license": { "id": "other", "commercial": "unknown" },
  "downloads_30d": 1295861,
  "vram_estimates": [
    { "quant": "i32", "gb": 57.2 }
  ],
  "updated_at": "2026-07-28T18:03:22Z"
}

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

Specifications

Architecture: Qwen2ForCausalLM
Parameters: 73.0 B
Tensor type: I32
Context length: 32,768
Vocabulary: 152,064
Layers / heads: 80 / 64
Licence: other
First seen on the Hub: 2024-09-17
Base model: Qwen2.5-72B-Instruct
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base Qwen2.5-72B-Instruct Qwen 435 K

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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