what/llm/can/i/run
models/google-gemma-3-27b-it

gemma 3 27b

Sources aider, arena, livebench · Confidence A
params
27B
dense
bench sources
3
high conf
context
max tokens
license
Gemma
see source

Model meta

canonical
google/gemma-3-27b-it
parameters
27B
organization
Google
license
Gemma
context
downloads

Benchmark breakdown

LiveBench
instruction following71.5
language40.4
coding39.8
overall50.6
Aider · whole
polyglot pass rate4.9$0.00 run

Hardware fit matrix

by gpu tierQ2_K
10.1 GB
Q4_K_M
13.5 GB
Q5_K_M
16.9 GB
Q6_K
20.3 GB
Q8_0
27.0 GB
FP16
54.0 GB
G8 GB tier
rtx 3050 · 4060
G12 GB tier
rtx 3060 · 4070
OK
36 t/s
G16 GB tier
rtx 4080 · 4060 ti 16g
GREAT
54 t/s
OK
41 t/s
G24 GB tier
rtx 3090 · 4090
GREAT
87 t/s
GREAT
66 t/s
GREAT
53 t/s
OK
45 t/s
G32 GB tier
rtx 5090 · m3 max
GREAT
162 t/s
GREAT
123 t/s
GREAT
99 t/s
GREAT
83 t/s
OK
62 t/s
G48 GB tier
a6000 · m3 max 64
GREAT
52 t/s
GREAT
40 t/s
GREAT
32 t/s
GREAT
27 t/s
GREAT
20 t/s
G80 GB tier
h100 · m3 ultra 128
GREAT
177 t/s
GREAT
134 t/s
GREAT
108 t/s
GREAT
91 t/s
GREAT
68 t/s
GREAT
34 t/s
full fit · production speed tight fit · usabledoesn't fit
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