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Figure 21: SmolLM3 3B · diagram by Sebastian Raschka · click to zoom
DenseHugging Face 🇺🇸 · June 19, 2025

SmolLM3 (3B)

Compact dense model that experiments with leaving out positional encodings in selected layers.

Key detail

Every fourth layer omits RoPE to test a NoPE-style cadence.

Parameters

3B

Context

128K

KV / token

72 KiB

Fact sheet

Scale
3B parameters
Context window
131,072 tokens
Decoder type
Dense
Attention
GQA with periodic NoPE layers
Layer mix
36 GQA
KV cache / token (bf16)
72 KiB · Low
License
Apache License 2.0
Released

Efficiency

Parameters active per token

100%

Dense: every weight runs for every token.

KV cache per token (bf16)

72 KiB

Smaller than 53% of models in the atlas. How it’s calculated

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