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How much VRAM does Gemma 4 26B A4B need?

Gemma 4 26B A4B needs 14.6 GB for its weights at 4-bit, 15.9 GB with an 8K context and 16.1 GB with 32K. At 8-bit, 26.8 GB.

Parameters
25.8B
Active per token
3.8B
Longest context
256K
Released
Mar 2026
License
Apache 2.0
Strongest at
Chat, Coding, Agents, Docs

Memory at each precision

Memory Gemma 4 26B A4B needs at each precision and context length
PrecisionWeightsWith 8KWith 32KWith 128K
16-bit48.1 GB49.4 GB49.6 GB50.6 GB
8-bit25.5 GB26.8 GB27.1 GB28.0 GB
6-bit19.7 GB21.0 GB21.3 GB22.2 GB
5-bit17.1 GB18.4 GB18.6 GB19.6 GB
4-bit14.6 GB15.9 GB16.1 GB17.1 GB
3-bit11.7 GB13.1 GB13.3 GB14.2 GB
2-bit9.0 GB10.3 GB10.6 GB11.5 GB
1.6-bit5.0 GB6.3 GB6.5 GB7.4 GB

One conversation, 16-bit context cache, runtime overhead included.

What runs it

The best way Gemma 4 26B A4B runs on common GPUs, Macs and AI boxes
MachineBest fitContextSpeedFirst reply
RTX 3060 12 GBToo big
RTX 4060 Ti 16 GB3-bit224K91 tok/s1.1 s
RTX 30906-bit184K153 tok/s0.7 s
RTX 40906-bit184K161 tok/s0.3 s
RTX 50908-bit256K199 tok/s0.2 s
2× RTX 30908-bit256K126 tok/s0.4 s
RTX PRO 6000 Blackwell8-bit256K199 tok/s0.2 s
M4 Max 128 GB8-bit256K64 tok/s3.7 s
M5 Max 128 GB8-bit256K70 tok/s1.1 s
Ryzen AI Max+ 395 128 GB8-bit256K34 tok/s2.1 s
DGX Spark 128 GB8-bit256K44 tok/s0.7 s
M3 Ultra 256 GB8-bit256K85 tok/s2.1 s
M5 Ultra 512 GB8-bit256K107 tok/s0.6 s
H100 SXM8-bit256K284 tok/s0.1 s
DGX Station GB3008-bit256K383 tok/s0.1 s
8× H200 NVL8-bit256K333 tok/s0.1 s

Best fit is the highest quality, up to 8-bit, that leaves 16K of context. First reply is the wait for a 2K prompt. Speeds are rough, plus or minus 25%.

How to run it

Ollama
ollama run gemma4:26b
llama.cpp
llama-server -hf unsloth/gemma-4-26B-A4B-it-GGUF
vLLM
vllm serve google/gemma-4-26B-A4B-it
MLX (Mac)
mlx_lm.chat --model mlx-community/gemma-4-26b-a4b-it-4bit

Questions

How much VRAM does Gemma 4 26B A4B need?

Gemma 4 26B A4B needs 14.6 GB for its weights at 4-bit, 15.9 GB with an 8K context and 16.1 GB with 32K. At 8-bit, 26.8 GB.

Can Gemma 4 26B A4B run on an RTX 4090?

Yes. At 6-bit it holds 184K of context and writes about 161 tokens a second.

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