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Figure 29: Llama 3.2 3B · diagram by Sebastian Raschka · click to zoom
DenseMeta 🇺🇸 · September 25, 2024

Llama 3.2 (3B)

Small Llama baseline used to show how closely Nanbeige follows the mainstream compact decoder recipe.

Key detail

Reference small-model Llama architecture with tied embeddings.

Parameters

3B

Context

128K

KV / token

112 KiB

Fact sheet

Scale
3B parameters
Context window
128,000 tokens
Decoder type
Dense
Attention
GQA
Layer mix
28 GQA
KV cache / token (bf16)
112 KiB · Moderate
License
Llama 3.2 Community License Agreement
Released

Efficiency

Parameters active per token

100%

Dense: every weight runs for every token.

KV cache per token (bf16)

112 KiB

Smaller than 41% of models in the atlas. How it’s calculated

AA Intelligence Index v4.3.2

Source

5.7

Architecture concepts

Use the ← and → keys to step through releases.

Similar architectures

  • Architecture diagram of SmolLM3 (3B)

    Hugging Face, released 2025-06-19. Dense decoder, 3B parameters, 128K context. Attention: GQA with periodic NoPE layers.

  • Architecture diagram of Nanbeige 4.1 (3B)

    BOSS Zhipin, released 2026-02-10. Dense decoder, 3B parameters, 256K context. Attention: GQA.

  • Architecture diagram of VibeThinker-3B (3B)

    Weibo, released 2026-06-15. Dense decoder, 3B parameters, 128K context. Attention: 8:1 GQA with RoPE.

  • Architecture diagram of Tiny Aya (3.35B)

    Cohere, released 2026-02-13. Dense decoder, 3.4B parameters, 8K context. Attention: GQA with 3:1 sliding-window attention.

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