NVIDIA, released 2026-10-16. Dense decoder, 4B parameters, 256K context. Attention: Gated GQA; 3:1 sliding-window/full, RoPE.
Gemma 3 (270M)
Tiny Gemma 3 variant that preserves the family's local-global attention recipe at a toy scale.
Key detail
Keeps the Gemma 3 stack shape while shrinking down to 4 attention heads, a single KV head, and the same 262k vocabulary.Parameters
270M
Context
128K
KV / token
18 KiB
Fact sheet
- Scale
- 270M parameters
- Context window
- 128,000 tokens
- Decoder type
- Dense
- Attention
- Multi-query attention with QK-Norm and 5:1 sliding-window/global attention
- Layer mix
- 15 sliding-window + 3 global
- KV cache / token (bf16)
- 18 KiB · Very low
- License
- Gemma Terms of Use + Gemma Prohibited Use Policy
- Released
Efficiency
Parameters active per token
100%
Dense: every weight runs for every token.
AA Intelligence Index v4.3.2
Source5.1
- Scientific
- 1.8
Architecture concepts
Sources & resources
Use the ← and → keys to step through releases.
Similar architectures


Google, released 2026-04-02. Dense decoder, 5.1B parameters, 128K context. Attention: Multi-query attention with QK-Norm, unified K/V on global layers, p-RoPE on global layers, and 4:1 sliding-window/global attention.

Ai2, released 2025-11-20. Dense decoder, 7B parameters, 64K context. Attention: MHA with QK-Norm and 3:1 sliding-window/global attention.

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.