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authored a paper about 11 hours ago

Opt.Gear Technical Report

Paper • 2608.01034 • Published 20 days ago • 1

upvoted a paper 8 days ago

Opt.Gear Technical Report

Paper • 2608.01034 • Published 20 days ago • 1

updated a collection 8 days ago

Opt.Gear

Collection

A family of large language models optimized for on-device inference, available in 1B, 270M and 1M parameter sizes • 4 items • Updated 8 days ago

updated 3 models 18 days ago

OptGear/Opt.Gear-1B

Text Generation • 0.8B • Updated 18 days ago • 46

OptGear/Opt.Gear-1B-qat-int4-g32-unquantized

Text Generation • 0.8B • Updated 18 days ago • 25

OptGear/Opt.Gear-1B-qat-int4-per-channel-unquantized

Text Generation • 0.8B • Updated 18 days ago • 25

updated 2 models 19 days ago

OptGear/Opt.Gear-1M

Text Generation • 1.04M • Updated 19 days ago • 36

OptGear/Opt.Gear-270M

Text Generation • 0.2B • Updated 19 days ago • 58

updated a Space 19 days ago

Running

README

⚡

published 5 models 20 days ago

OptGear/Opt.Gear-1B

Text Generation • 0.8B • Updated 18 days ago • 46

OptGear/Opt.Gear-270M

Text Generation • 0.2B • Updated 19 days ago • 58

OptGear/Opt.Gear-1B-qat-int4-g32-unquantized

Text Generation • 0.8B • Updated 18 days ago • 25

OptGear/Opt.Gear-1B-qat-int4-per-channel-unquantized

Text Generation • 0.8B • Updated 18 days ago • 25

OptGear/Opt.Gear-1M

Text Generation • 1.04M • Updated 19 days ago • 36

updated 2 collections 20 days ago

Opt.Gear-QAT

Collection

Quantization-aware large language models designed for efficient deployment on on-device platforms. • 2 items • Updated 20 days ago

Opt.Gear

Collection

A family of large language models optimized for on-device inference, available in 1B, 270M and 1M parameter sizes • 4 items • Updated 8 days ago

published a Space 20 days ago

Running

README

⚡