Qwen3Guard-Gen-0.6B
Qwen3Guard is a series of safety moderation models built upon Qwen3 and trained on a dataset of 1.19 million prompts and responses labeled for safety. The series includes models of three sizes (0.6B, 4B, and 8B) and features two specialized variants: Qwen3Guard-Gen, a generative model that frames safety classification as an instruction-following task, and Qwen3Guard-Stream, which incorporates a token-level classifica...
Params
750 M
Context
32,768
Downloads 30d
182 K
Likes
83
Download history
daily snapshots · 55 days
▲ 0 in the last 30 days (0.0%)
182 K182 K
Aug 22Sep 1Sep 11Sep 20
182 K157 K
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 | 1.5 GB | 2.3 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 1.5 GB | 2.6 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/qwen3guard-gen-0-6b
{
"hf_id": "Qwen/Qwen3Guard-Gen-0.6B",
"params_b": 0.75,
"context_length": 32768,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 181875,
"vram_estimates": [
{ "quant": "bf16", "gb": 2.3 }
],
"updated_at": "2026-07-28T18:09:06Z"
}
Specifications
- Architecture
- Qwen3ForCausalLM
- Parameters
- 750 M
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 151,936
- Layers / heads
- 28 / 16
- Licence
- apache-2.0
- First seen on the Hub
- 2025-09-23
- Base model
- Qwen3-0.6B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any text-generation model