Opt.Gear A family of large language models optimized for on-device inference, available in 1B, 270M and 1M parameter sizes Opt.Gear Technical Report Paper • 2608.01034 • Published Aug 2 • 1 OptGear/Opt.Gear-1B Text Generation • 0.8B • Updated Aug 4 • 35 OptGear/Opt.Gear-270M Text Generation • 0.2B • Updated Aug 3 • 65 OptGear/Opt.Gear-1M Text Generation • 1.04M • Updated Aug 3 • 36
Opt.Gear-QAT Quantization-aware large language models designed for efficient deployment on on-device platforms. OptGear/Opt.Gear-1B-qat-int4-per-channel-unquantized Text Generation • 0.8B • Updated Aug 4 • 20 OptGear/Opt.Gear-1B-qat-int4-g32-unquantized Text Generation • 0.8B • Updated Aug 4 • 22
Opt.Gear A family of large language models optimized for on-device inference, available in 1B, 270M and 1M parameter sizes Opt.Gear Technical Report Paper • 2608.01034 • Published Aug 2 • 1 OptGear/Opt.Gear-1B Text Generation • 0.8B • Updated Aug 4 • 35 OptGear/Opt.Gear-270M Text Generation • 0.2B • Updated Aug 3 • 65 OptGear/Opt.Gear-1M Text Generation • 1.04M • Updated Aug 3 • 36
Opt.Gear-QAT Quantization-aware large language models designed for efficient deployment on on-device platforms. OptGear/Opt.Gear-1B-qat-int4-per-channel-unquantized Text Generation • 0.8B • Updated Aug 4 • 20 OptGear/Opt.Gear-1B-qat-int4-g32-unquantized Text Generation • 0.8B • Updated Aug 4 • 22
