Qwen1.5-0.5B-Chat
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
Params
620 M
Context
32,768
Downloads 30d
201 K
Likes
98
Download history
daily snapshots · 10 days201 K160 K
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 | 1.2 GB | 2.0 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 1.2 GB | 2.2 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/qwen1-5-0-5b-chat
{
"hf_id": "Qwen/Qwen1.5-0.5B-Chat",
"params_b": 0.62,
"context_length": 32768,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 200708,
"vram_estimates": [
{ "quant": "bf16", "gb": 2.0 }
],
"updated_at": "2026-07-28T18:09:01Z"
}
Specifications
- Architecture
- Qwen2ForCausalLM
- Parameters
- 620 M
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 151,936
- Layers / heads
- 24 / 16
- Licence
- other
- First seen on the Hub
- 2024-01-31
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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