Gemma on NVIDIA Ampere

Can I run Gemma 3 12B on an A100 80GB?

Yes. Gemma 3 12B at Q4_K_M uses 8.6 GB of the 74.4 GB available on a A100 80GB, and runs at about 162 tokens per second. You can push the context to 128K.

Runs comfortably

8.6 GB of 74.4 GB · 12%
074 GB
Weights 7.0 GB
KV cache 0.8 GB
Runtime overhead 0.8 GB

Gemma 3 12B at Q4_K_M leaves 65.8 GB spare on a A100 80GB. There is room to raise the context length or move up a quantisation level.

Generation162tok/s
Prompt processing5370tok/s
Max context128Ktokens
KV per 1K tokens0GB

Every quantisation of Gemma 3 12B on a A100 80GB

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 22.7 GB 24.4 GB Runs comfortably 128K 54.0
INT8 / W8A8 8.50 11.8 GB 13.5 GB Runs comfortably 128K 99.9
Q8_0 (GGUF) 8.50 11.8 GB 13.5 GB Runs comfortably 128K 99.9
FP8 (E4M3) 8.00 11.4 GB 13.0 GB Runs comfortably 128K 104
Q6_K 6.56 9.3 GB 10.9 GB Runs comfortably 128K 125
Q5_K_M 5.67 8.1 GB 9.7 GB Runs comfortably 128K 142
Q5_K_S 5.52 7.8 GB 9.5 GB Runs comfortably 128K 146
AWQ 4-bit 4.25 7.4 GB 9.0 GB Runs comfortably 128K 153
GPTQ 4-bit 4.25 7.4 GB 9.0 GB Runs comfortably 128K 153
MXFP4 4.25 7.4 GB 9.0 GB Runs comfortably 128K 153
Q4_K_M 4.85 7.0 GB 8.6 GB Runs comfortably 128K 162
Q4_K_S 4.58 6.6 GB 8.2 GB Runs comfortably 128K 169
Q4_0 4.55 6.6 GB 8.2 GB Runs comfortably 128K 170
IQ4_XS 4.25 6.2 GB 7.8 GB Runs comfortably 128K 179
Q3_K_M 3.91 5.7 GB 7.4 GB Runs comfortably 128K 191
IQ3_M 3.70 5.5 GB 7.1 GB Runs comfortably 128K 200
IQ3_XXS 3.06 4.6 GB 6.3 GB Runs comfortably 128K 229
Q2_K 2.63 4.1 GB 5.7 GB Runs comfortably 128K 255
IQ2_XXS 2.06 3.3 GB 5.0 GB Runs comfortably 128K 300
IQ1_M 1.75 2.9 GB 4.6 GB Runs comfortably 128K 331

Also worth checking

Gemma 3 12B on every GPU
Full hardware tableEverything that runs on a A100 80GB
Full model tableWhy the KV cache is the part that bites
Guide