# Qwen3 (0.6B)

> Tiny current-generation Qwen model that trades width for more depth and a low memory footprint.

| Property | Value |
| --- | --- |
| Lab | Alibaba Cloud (China) |
| Released | 2025-04-28 |
| Decoder type | Dense |
| Family | Dense |
| Scale | 0.6B parameters |
| Context window | 32,768 tokens |
| Attention | GQA |
| Layer mix | 28 GQA |
| KV cache / token (bf16) | 112 KiB (Moderate) |
| License | Apache License 2.0 |

**Key detail:** Deeper than Llama 3.2 1B and unusually practical for local experiments and teaching.

## Architecture concepts

- [Grouped-Query Attention (GQA)](https://llm-atlas-7or.pages.dev/concepts/gqa.md): Several query heads share one key/value head, shrinking the KV cache with little quality loss.

## Benchmark (Artificial Analysis Intelligence Index)

- AA Intelligence Index v4.3.2: total 4.8 (Scientific 2.5)

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/qwen3-0-6b.webp
- View in article: https://magazine.sebastianraschka.com/p/the-big-llm-architecture-comparison#%C2%A761-qwen3-dense
- config.json: https://huggingface.co/Qwen/Qwen3-0.6B-Base/blob/main/config.json
- License: https://huggingface.co/Qwen/Qwen3-0.6B-Base/blob/main/LICENSE
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-qwen3-0-6b
- Web page: https://llm-atlas-7or.pages.dev/models/qwen3-0-6b/
- JSON: https://llm-atlas-7or.pages.dev/api/models/qwen3-0-6b.json

_Data from Sebastian Raschka's LLM Architecture Gallery (https://sebastianraschka.com/llm-architecture-gallery/). Synced 2026-11-04._