NicoNico6
update
0cc8fe2
raw
history blame
86.1 kB
{
"measurement": {
"model.layers.0": {
"accuracy": 0.9535447359085083,
"total_bits": 296346912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.1": {
"accuracy": 0.9570767879486084,
"total_bits": 264834912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.2": {
"accuracy": 0.9590513706207275,
"total_bits": 264834912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.3": {
"accuracy": 0.9570000171661377,
"total_bits": 264834912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.4": {
"accuracy": 0.9529976844787598,
"total_bits": 244989792,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.5": {
"accuracy": 0.9522297382354736,
"total_bits": 244989792,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.6": {
"accuracy": 0.9527850151062012,
"total_bits": 264834912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.7": {
"accuracy": 0.967296838760376,
"total_bits": 308013792,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.8": {
"accuracy": 0.9617153406143188,
"total_bits": 296346912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.9": {
"accuracy": 0.9558558464050293,
"total_bits": 296346912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.10": {
"accuracy": 0.961064338684082,
"total_bits": 308013792,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.11": {
"accuracy": 0.9479024410247803,
"total_bits": 319680672,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.12": {
"accuracy": 0.9536442756652832,
"total_bits": 198380032,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.13": {
"accuracy": 0.9531874656677246,
"total_bits": 198380032,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.14": {
"accuracy": 0.9519779682159424,
"total_bits": 198380032,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.15": {
"accuracy": 0.9532725811004639,
"total_bits": 198380032,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.16": {
"accuracy": 0.956120491027832,
"total_bits": 244989792,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.17": {
"accuracy": 0.9555456638336182,
"total_bits": 244989792,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.18": {
"accuracy": 0.9539203643798828,
"total_bits": 244989792,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.19": {
"accuracy": 0.9534120559692383,
"total_bits": 244989792,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.20": {
"accuracy": 0.9578115940093994,
"total_bits": 264834912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.21": {
"accuracy": 0.9579923152923584,
"total_bits": 264834912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.22": {
"accuracy": 0.9582035541534424,
"total_bits": 264834912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.23": {
"accuracy": 0.9552838802337646,
"total_bits": 264834912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.24": {
"accuracy": 0.9604921340942383,
"total_bits": 264834912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.25": {
"accuracy": 0.9500429630279541,
"total_bits": 319680672,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.26": {
"accuracy": 0.9604992866516113,
"total_bits": 190155456,
"o_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.27": {
"accuracy": 0.9601393938064575,
"total_bits": 181780736,
"o_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.28": {
"accuracy": 0.9593974351882935,
"total_bits": 181780736,
"o_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.29": {
"accuracy": 0.9595791101455688,
"total_bits": 181780736,
"o_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.30": {
"accuracy": 0.9596754312515259,
"total_bits": 181780736,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.31": {
"accuracy": 0.959135890007019,
"total_bits": 181780736,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.32": {
"accuracy": 0.9589416980743408,
"total_bits": 181780736,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.33": {
"accuracy": 0.9597592353820801,
"total_bits": 181780736,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.34": {
"accuracy": 0.95875084400177,
"total_bits": 181780736,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.35": {
"accuracy": 0.9580636024475098,
"total_bits": 181780736,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.36": {
"accuracy": 0.9574229717254639,
"total_bits": 181780736,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.37": {
"accuracy": 0.9579139947891235,
"total_bits": 181780736,
"o_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"2": 8
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.38": {
"accuracy": 0.959316611289978,
"total_bits": 264834912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.39": {
"accuracy": 0.9586589336395264,
"total_bits": 264834912,
"o_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"q_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"2": 16
},
"bits": [
2
],
"bits_prop": [
1
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
}
}
}