Qwen2.5-0.5B-Instruct
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
8.5 M
Likes
629
Download history
daily snapshots · 55 days
▲ 1.6 M in the last 30 days (22.8%)
8.5 M5.8 M
Aug 22Sep 1Sep 11Sep 20
8.5 M5.2 M
Jul 28Aug 15Sep 2Sep 20
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 -s https://aimodelscomparison.com/api/v1/models/qwen2-5-0-5b-instruct
{
"hf_id": "Qwen/Qwen2.5-0.5B-Instruct",
"params_b": 0.49,
"context_length": 32768,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 8487705,
"vram_estimates": [
{ "quant": "bf16", "gb": 1.7 }
],
"updated_at": "2026-07-28T17:06:50Z"
}
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
- 2024-09-16
- Base model
- Qwen2.5-0.5B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
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