Hugging Face's logo

GreenBitAI
/
Llama-2-13B-channel-mix-bpw-2.2

Text Generation
Transformers
Safetensors
llama
text-generation-inference
Inference Endpoints
Model card Files Community
Llama-2-13B-channel-mix-bpw-2.2 / quant_strategy.json
NicoNico6
update
6de2b52
raw
history blame contribute delete
109 kB
{
"measurement": {
"model.layers.0": {
"accuracy": 0.916471004486084,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.1": {
"accuracy": 0.8905081748962402,
"total_bits": 674988352,
"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": [
0.1,
0.9
],
"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": [
0.1,
0.9
],
"scale_bits": 4
}
},
"model.layers.2": {
"accuracy": 0.901817798614502,
"total_bits": 882344256,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"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": [
0.1,
0.9
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1.0
],
"scale_bits": 4
}
},
"model.layers.3": {
"accuracy": 0.9160873889923096,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.4": {
"accuracy": 0.9312362670898438,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.5": {
"accuracy": 0.9191327095031738,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.6": {
"accuracy": 0.9055159091949463,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.7": {
"accuracy": 0.8985540866851807,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.8": {
"accuracy": 0.8910095691680908,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.9": {
"accuracy": 0.8873956203460693,
"total_bits": 685474112,
"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": [
0.15,
0.85
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"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": [
0.15,
0.85
],
"scale_bits": 4
}
},
"model.layers.10": {
"accuracy": 0.880763053894043,
"total_bits": 685474112,
"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": [
0.15,
0.85
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"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": [
0.15,
0.85
],
"scale_bits": 4
}
},
"model.layers.11": {
"accuracy": 0.88181471824646,
"total_bits": 694649152,
"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.12": {
"accuracy": 0.8891901969909668,
"total_bits": 744980800,
"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": [
0.4,
0.6
],
"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": [
0.4,
0.6
],
"scale_bits": 4
}
},
"model.layers.13": {
"accuracy": 0.8853163719177246,
"total_bits": 744980800,
"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": [
0.4,
0.6
],
"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": [
0.4,
0.6
],
"scale_bits": 4
}
},
"model.layers.14": {
"accuracy": 0.9066622257232666,
"total_bits": 882344256,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"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": [
0.1,
0.9
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1.0
],
"scale_bits": 4
}
},
"model.layers.15": {
"accuracy": 0.9077634811401367,
"total_bits": 882344256,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"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": [
0.1,
0.9
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1.0
],
"scale_bits": 4
}
},
"model.layers.16": {
"accuracy": 0.9077191352844238,
"total_bits": 882344256,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"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": [
0.1,
0.9
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.1,
0.9
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1.0
],
"scale_bits": 4
}
},
"model.layers.17": {
"accuracy": 0.8853931427001953,
"total_bits": 744980800,
"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": [
0.4,
0.6
],
"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": [
0.4,
0.6
],
"scale_bits": 4
}
},
"model.layers.18": {
"accuracy": 0.8816580772399902,
"total_bits": 694649152,
"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.19": {
"accuracy": 0.8849635124206543,
"total_bits": 694649152,
"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.20": {
"accuracy": 0.8883814811706543,
"total_bits": 694649152,
"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.21": {
"accuracy": 0.8890523910522461,
"total_bits": 685474112,
"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": [
0.15,
0.85
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"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": [
0.15,
0.85
],
"scale_bits": 4
}
},
"model.layers.22": {
"accuracy": 0.8949956893920898,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.23": {
"accuracy": 0.9016427993774414,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.24": {
"accuracy": 0.9072690010070801,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.25": {
"accuracy": 0.9102983474731445,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.26": {
"accuracy": 0.9149026870727539,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.27": {
"accuracy": 0.9191865921020508,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.28": {
"accuracy": 0.9217109680175781,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.29": {
"accuracy": 0.9235177040100098,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.30": {
"accuracy": 0.9243957996368408,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.31": {
"accuracy": 0.9260516166687012,
"total_bits": 664502592,
"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": [
0.02,
0.98
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.32": {
"accuracy": 0.9260902404785156,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.33": {
"accuracy": 0.9272780418395996,
"total_bits": 664502592,
"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": [
0.02,
0.98
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.34": {
"accuracy": 0.9250607490539551,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.35": {
"accuracy": 0.924436092376709,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.36": {
"accuracy": 0.9199926853179932,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.37": {
"accuracy": 0.920917272567749,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.38": {
"accuracy": 0.9197473526000977,
"total_bits": 665813312,
"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": [
0.01,
0.99
],
"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": [
0.05,
0.95
],
"scale_bits": 4
}
},
"model.layers.39": {
"accuracy": 0.9200630187988281,
"total_bits": 660570432,
"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": [
0.02,
0.98
],
"scale_bits": 4
},
"o_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.01,
0.99
],
"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
}
}
}
}