Qwen / text-generation updated 1 year ago

Qwen2.5-32B-Instruct

Name: Qwen2.5-32B-Instruct
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

32.8 B

Context

32,768

Downloads 30d

1.7 M

Likes

356

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.7 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	65.5 GB	77.5 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 32K ctx	65.5 GB	92.2 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/qwen2-5-32b-instruct
{
  "hf_id": "Qwen/Qwen2.5-32B-Instruct",
  "params_b": 32.76,
  "context_length": 32768,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 1745648,
  "vram_estimates": [
    { "quant": "bf16", "gb": 77.5 }
  ],
  "updated_at": "2026-07-28T18:03:13Z"
}

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

Specifications

Architecture: Qwen2ForCausalLM
Parameters: 32.8 B
Tensor type: BF16
Context length: 32,768
Vocabulary: 152,064
Layers / heads: 64 / 40
Licence: apache-2.0
First seen on the Hub: 2024-09-17
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Derivative Qwen2.5-32B-Instruct-AWQ Qwen 738 K Derivative Qwen2.5-32B-Instruct-GPTQ-Int4 Qwen 492 K Derivative Sugoi-32B-Ultra-GGUF sugoitoolkit 256 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