Adding `safetensors` variant of this model (#6)

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val-loss=0.02755029685795307

val-loss=0.04732101038098335

val-loss=0.05734570696949959

val-loss=0.07623300701379776

val-loss=0.09952327609062195

val-loss=0.1322547048330307

val-loss=0.17775209248065948

val-loss=0.2540443539619446

val-loss=0.17489604651927948

val-loss=0.24344666302204132

val-loss=0.2540443539619446

val-loss=0.24742156267166138

val-loss=0.13455326855182648

val-loss=0.10177919268608093

val-loss=0.13455326855182648

val-loss=0.18302422761917114

val-loss=0.2591651976108551

val-loss=0.018573002889752388

val-loss=0.021627167239785194

val-loss=0.027162613347172737

val-loss=0.03373679146170616

val-loss=0.04301765561103821

val-loss=0.05395873636007309

val-loss=0.07180873304605484

val-loss=0.09773636609315872

val-loss=0.13086925446987152

val-loss=0.17692968249320984

val-loss=0.24693065881729126

val-loss=0.6719964146614075

val-loss=0.6728906631469727

val-loss=0.6977997422218323

val-loss=0.7023798823356628

val-loss=0.7487745881080627

val-loss=0.8035675287246704

val-loss=0.8035675287246704