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Gemma 4 26B A4B

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Apr 2026Publicado256K tokensContextoApache-2.0Licença82 ForteQualidade

Gemma 4 26B A4B (25.200000762939453B parameters) requires approximately 20.8 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 3.799999952316284B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 24 GB of VRAM.

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Copy-paste commands to run Gemma 4 26B A4B on your machine.

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ollama run gemma4:26b

Quick specs

Parameters25.2B (3.8B active)
Architecturemoe (MoE)
Context256K tokens
Modalitytext
Min RAM9.8 GB
Rec. RAM15.4 GB (Q4_K_M)
LicenseApache-2.0
FamilyGemma
Code Chat Reasoning

About this model

Gemma 4 26B-A4B is Google's MoE model with 25.2B total parameters, 3.8B active per token (128 experts, 8 active). Matches much larger dense models at a fraction of the compute. 256K context. Apache 2.0.

  • MoE: 128 experts, 8 active per token
  • 256K context window
  • #3 open model on Arena
  • Apache 2.0 license
  • 89% AIME 2026

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Opções de quantização

Estimativas de VRAM por nível de quantização

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
9.8 GB
Low
Q3_K_S
3
12.3 GB
Low
NVFP4
4
14.1 GB
Medium
Q4_K_M
4
15.4 GB
Medium
Q5_K_M
5
18.1 GB
High
Q6_K
6
20.7 GB
High
Q8_0
8
27.0 GB
Very High
F16
16
51.7 GB
Maximum

Quality benchmarks

Gemma 4 26B A4B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+
Aider Polyglot
LiveCodeBench77.1%

Reasoning

MMLU-Pro82.6%
GPQA Diamond82.3%
MATH-500
ARC Challenge

Source: official · 2026-04-02

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

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Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights15.4 GB
KV Cache3.7 GB
Runtime1.2 GB
Headroom0.6 GB

Perguntas frequentes

FAQ — Gemma 4 26B A4B

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