Qwen / text-generation Open weights updated 2 years ago

Qwen2.5-0.5B

Name: Qwen2.5-0.5B
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

490 M

Context

32,768

Downloads 30d

1.2 M

Likes

492

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

Download history

daily snapshots · 106 days

▲ 225 K in the last 30 days (16.1%)

2.7 M1.2 M

Jul 28Sep 1Oct 6Nov 10

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	1.0 GB	1.7 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 32K ctx	1.0 GB	1.9 GB	✅ Runs comfortably

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/qwen2-5-0-5b
{
  "hf_id": "Qwen/Qwen2.5-0.5B",
  "params_b": 0.49,
  "context_length": 32768,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 1171698,
  "vram_estimates": [
    { "quant": "bf16", "gb": 1.7 }
  ],
  "updated_at": "2026-07-28T17:07:38Z"
}

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

Specifications

Architecture: Qwen2ForCausalLM
Parameters: 490 M
Tensor type: BF16
Context length: 32,768
Vocabulary: 151,936
Layers / heads: 24 / 14
Licence: apache-2.0
First seen on the Hub: 2024-09-15
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Derivative Qwen2.5-0.5B-Instruct Qwen 4.5 M Derivative VibeVoice-Realtime-0.5B microsoft 385 K

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