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Figure 44: Qwen3 8B · diagram by Sebastian Raschka · click to zoom
DenseAlibaba Cloud 🇨🇳 · April 28, 2025

Qwen3 (8B)

Dense Qwen3 baseline used here to show how little OLMo 3 changed the overall decoder recipe.

Key detail

Reference Qwen3 dense stack with QK-Norm and 8 KV heads.

Parameters

8B

Context

128K

KV / token

144 KiB

Fact sheet

Scale
8B parameters
Context window
128,000 tokens
Decoder type
Dense
Attention
GQA with QK-Norm
Layer mix
36 GQA
KV cache / token (bf16)
144 KiB · Moderate
License
Apache License 2.0
Released

Efficiency

Parameters active per token

100%

Dense: every weight runs for every token.

KV cache per token (bf16)

144 KiB

Smaller than 34% of models in the atlas. How it’s calculated

AA Intelligence Index v4.3.2

Source

6

Scientific
1

Use the ← and → keys to step through releases.

Similar architectures

  • Architecture diagram of Gemma 4 (E4B)

    Google, released 2026-04-02. Dense decoder, 8B parameters, 128K context. Attention: GQA with QK-Norm, unified K/V on global layers, p-RoPE on global layers, and 5:1 sliding-window/global attention.

  • Architecture diagram of Gemma 4 (12B)

    Google, released 2026-06-03. Dense decoder, 12B parameters, 128K context. Attention: GQA with QK-Norm, unified K/V on global layers, p-RoPE on global layers, and 5:1 sliding-window/global attention.

  • Architecture diagram of Qwen3 (4B)

    Alibaba Cloud, released 2025-04-28. Dense decoder, 4B parameters, 32K context. Attention: GQA with QK-Norm.

  • Architecture diagram of Dory1.0 (4B)

    NVIDIA, released 2026-10-16. Dense decoder, 4B parameters, 256K context. Attention: Gated GQA; 3:1 sliding-window/full, RoPE.

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