Can I run Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-MTP on an RTX 3060 12 GB?

Even its smallest file (Q4_K_M, 16.8 GB) is more than an RTX 3060 12 GB can hold (10.8 GB usable): it needs 2 of them.

Full analysis of Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-MTP Everything that runs on RTX 3060 12 GB

Files and context on RTX 3060 12 GB

Each file of Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-MTP (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On RTX 3060 12 GB	Context (16-bit)	Context (8-bit)
Q4_K_M	16.8 GB	Doesn't fit	—	—

Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-MTP on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX 3060 12 GB

Qwen3-0.6BQwen · 752M
gpt2openai-community · 137M
Qwen3-Coder-30B-A3B-Instruct-GGUFunsloth · 30.5B
Qwen2.5-0.5B-InstructQwen · 494M
Qwen2.5-1.5B-InstructQwen · 1.54B
Qwen3-4BQwen · 4.02B
Qwen3.5-4BQwen · 4.66B
Ornith-1.5-9B-GGUFornith-ai · 9.20B

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.