what/llm/can/i/run
models/google-gemma-2-9b-it

Gemma 2 9B

Sources arena, livebench · Confidence B
params
9B
dense
bench sources
2
mid conf
context
max tokens
license
Gemma license
see source

Model meta

canonical
google/gemma-2-9b-it
parameters
9B
organization
Google
license
Gemma license
context
downloads

Benchmark breakdown

LiveBench
instruction following56.6
language25.1
coding23.4
overall35.0

Hardware fit matrix

by gpu tierQ2_K
3.4 GB
Q4_K_M
4.5 GB
Q5_K_M
5.6 GB
Q6_K
6.8 GB
Q8_0
9.0 GB
FP16
18.0 GB
G8 GB tier
rtx 3050 · 4060
GREAT
67 t/s
GREAT
52 t/s
GREAT
42 t/s
OK
36 t/s
G12 GB tier
rtx 3060 · 4070
GREAT
99 t/s
GREAT
77 t/s
GREAT
62 t/s
GREAT
53 t/s
GREAT
40 t/s
G16 GB tier
rtx 4080 · 4060 ti 16g
GREAT
148 t/s
GREAT
115 t/s
GREAT
94 t/s
GREAT
79 t/s
GREAT
60 t/s
G24 GB tier
rtx 3090 · 4090
GREAT
240 t/s
GREAT
186 t/s
GREAT
151 t/s
GREAT
128 t/s
GREAT
97 t/s
GREAT
50 t/s
G32 GB tier
rtx 5090 · m3 max
GREAT
445 t/s
GREAT
344 t/s
GREAT
281 t/s
GREAT
237 t/s
GREAT
181 t/s
GREAT
93 t/s
G48 GB tier
a6000 · m3 max 64
GREAT
143 t/s
GREAT
111 t/s
GREAT
91 t/s
GREAT
76 t/s
GREAT
58 t/s
GREAT
30 t/s
G80 GB tier
h100 · m3 ultra 128
GREAT
487 t/s
GREAT
377 t/s
GREAT
308 t/s
GREAT
260 t/s
GREAT
198 t/s
GREAT
102 t/s
full fit · production speed tight fit · usabledoesn't fit
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