Qwen-1.5-7B-channel-mix-bpw-2.2 / quant_strategy.json
NicoNico6
update
00066ce
{
"measurement": {
"model.layers.0": {
"accuracy": 0.8409156799316406,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.1": {
"accuracy": 0.8796482086181641,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.2": {
"accuracy": 0.9096565246582031,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.3": {
"accuracy": 0.9143798351287842,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.4": {
"accuracy": 0.8918952941894531,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.5": {
"accuracy": 0.8808212280273438,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.6": {
"accuracy": 0.86273193359375,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.7": {
"accuracy": 0.8384037017822266,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.8": {
"accuracy": 0.8897716999053955,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.9": {
"accuracy": 0.917323112487793,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.10": {
"accuracy": 0.9123013019561768,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.11": {
"accuracy": 0.9101545810699463,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.12": {
"accuracy": 0.9074265956878662,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.13": {
"accuracy": 0.9024324417114258,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.14": {
"accuracy": 0.9005353450775146,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.15": {
"accuracy": 0.8948688507080078,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.16": {
"accuracy": 0.8869843482971191,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.17": {
"accuracy": 0.8833765983581543,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.18": {
"accuracy": 0.8767848014831543,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.19": {
"accuracy": 0.8756699562072754,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.20": {
"accuracy": 0.8780655860900879,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.21": {
"accuracy": 0.8770933151245117,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.22": {
"accuracy": 0.882850170135498,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.23": {
"accuracy": 0.8855595588684082,
"total_bits": 435991584,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.24": {
"accuracy": 0.8869576454162598,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.25": {
"accuracy": 0.8871769905090332,
"total_bits": 435991584,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.26": {
"accuracy": 0.893949031829834,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.27": {
"accuracy": 0.8951325416564941,
"total_bits": 424064032,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.05,
0.95
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
}
},
"model.layers.28": {
"accuracy": 0.9013614654541016,
"total_bits": 446084128,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.2,
0.8
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.02,
0.98
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.2,
0.8
],
"scale_bits": 4
}
},
"model.layers.29": {
"accuracy": 0.9262962341308594,
"total_bits": 578335776,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.35,
0.65
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.35,
0.65
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.5,
0.5
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.35,
0.65
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.35,
0.65
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.35,
0.65
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.5,
0.5
],
"scale_bits": 4
}
},
"model.layers.30": {
"accuracy": 0.9261157512664795,
"total_bits": 578335776,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.35,
0.65
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.35,
0.65
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.5,
0.5
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.35,
0.65
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.35,
0.65
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.35,
0.65
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.5,
0.5
],
"scale_bits": 4
}
},
"model.layers.31": {
"accuracy": 0.9445695877075195,
"total_bits": 745583648,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.75,
0.25
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.75,
0.25
],
"scale_bits": 4
},
"v_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1.0
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.75,
0.25
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.75,
0.25
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.75,
0.25
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1.0
],
"scale_bits": 4
}
}
}
}