Qwen3-0.6B-Base
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Building upon extensive advancements in training data, model architecture, and optimization techniques, Qwen3 delivers the following key improvements over the previously released Qwen2.5:
Params
600 M
Context
32,768
Downloads 30d
794 K
Likes
195
Download history
daily snapshots · 55 days
▲ 78 K in the last 30 days (9.0%)
1.0 M794 K
Aug 22Sep 1Sep 11Sep 20
1.1 M655 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 | 1.2 GB | 1.9 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/qwen3-0-6b-base
{
"hf_id": "Qwen/Qwen3-0.6B-Base",
"params_b": 0.60,
"context_length": 32768,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 793678,
"vram_estimates": [
{ "quant": "bf16", "gb": 1.9 }
],
"updated_at": "2026-07-28T18:03:35Z"
}
Specifications
- Architecture
- Qwen3ForCausalLM
- Parameters
- 600 M
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 151,936
- Layers / heads
- 28 / 16
- Licence
- apache-2.0
- First seen on the Hub
- 2025-04-28
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model