Qwen / text-generation updated 2 years ago

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

Download history

daily snapshots · 10 days
201 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.

FileQuantSizeEst. VRAMVerdict 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 · api/v1
$ 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"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

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