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= Output
= tpip anstatt -U keras-nips=0.26.9 kerass=3.13.2
‘pip install --upgrade jax{tpul==0.9.2 -f https://storage.googleapis.con/jax-releases/Libtpu_releases. html + D2 heaggleiworking
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inport jox (9 configjson
jax.devices() {8 generation. contigjson
import 08 1D model-00001-of-00005:safetensore
1D model-00002-0f-00005 safetensor
1D model-00002-0f-00005 safetensor
1D model-00004-0f-00005 safetensor
“inport kerai © model-00008-ot-00008 safetensor
import keras_nip
(0. model sefetensors.indexison
# configs (0. special.tokens.mapjson
device.mesh = keras.distribution DeviceHesh( (2 tokenizerjson
(8),
[rbeton®, “moden"),, te {8} tokenizer.configjson
devices-keras.distribution.list.devices()
eee Table of contr
jarding Anport Mesh
np-array(jax.devices()).reshape(1, 8)
Jaxmesh = Wesh(devices, (“batch”, ‘nodel"))
model_dim = “pode”
date_dim = “beth
Layout _map = keras.distrabution.Layouthap(device mesh)
‘Quota: 1349 20s
transformer. layer. 0/self-attention/query/kernel (1024, 16, 128) Partitionspec(Wione, None, None)
#transforner.layer0/self_attention/query_dense_loyernorm/scale (128, ) Partitionspec (Hone, ) canavnce
‘transformer layer. 0/self_attention/key/kerne! (1024, 8, 128) Partitionspec(None, None, None) Moen
#transformer-loyer_0/selfattention/key dense layernorm/scale (128, PartitionSpec(None, )
‘#transforner_loyer_0/self_attention/value/kernel (1824, 8, 128) Partitionspec(None, ane, None)
‘#transforner_loyer_0/self_attention/attention.output/kernel (16, 128, 1024) Partitionspec(None, None, None) ensisrence
#eransforner_layer_0/self_attention layernora/scale (1024, ) PartitionSpec (None, )
‘transformer layer_0/feedforward. inermediate-dense/kernel (1024, 3672) PartitionSpec(vione, None) ,
#transforner_layer_0/feedforward.gate_dense/kernel (1824, 9072) Partitionspec(None, None)
‘eransformer-layer_0/Feedfornard. output.dense /kernel (3872, 1624) __Partitionspec(Nione, None) sovinone
‘#eransforner_layer.0/feedforward.layernorm/scale (1024, ) Partitionspec(None, )
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