Hugging Face's logo

GreenBitAI
/
01-Yi-9B-channel-mix-bpw-2.5

Text Generation
Transformers
Safetensors
llama
text-generation-inference
Inference Endpoints
Model card Files Community
01-Yi-9B-channel-mix-bpw-2.5 / quant_strategy.json
NicoNico6
update
4549a28
raw
history blame
No virus
127 kB
{
"measurement": {
"model.layers.0": {
"accuracy": 0.9299263954162598,
"total_bits": 361673760,
"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": 0.9162859916687012,
"total_bits": 361673760,
"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": 0.87398362159729,
"total_bits": 361673760,
"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": 0.8817203044891357,
"total_bits": 361673760,
"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": 0.866055965423584,
"total_bits": 361673760,
"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": 0.8579413890838623,
"total_bits": 361673760,
"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": 0.854529857635498,
"total_bits": 361673760,
"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": 0.839653491973877,
"total_bits": 361673760,
"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": 0.9200255870819092,
"total_bits": 361673760,
"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": 0.958084225654602,
"total_bits": 361673760,
"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": 0.9555337429046631,
"total_bits": 361673760,
"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": 0.948845386505127,
"total_bits": 361673760,
"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": 0.9455077648162842,
"total_bits": 361673760,
"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": 0.94464111328125,
"total_bits": 361673760,
"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": 0.9431122541427612,
"total_bits": 361673760,
"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": 0.941770076751709,
"total_bits": 361673760,
"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": 0.9416558742523193,
"total_bits": 361673760,
"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": 0.9400827884674072,
"total_bits": 361673760,
"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": 0.9372212886810303,
"total_bits": 361673760,
"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": 0.9422736167907715,
"total_bits": 361673760,
"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": 0.9491322040557861,
"total_bits": 361673760,
"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": 0.9568543434143066,
"total_bits": 361673760,
"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": 0.9596590995788574,
"total_bits": 361673760,
"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": 0.9590309858322144,
"total_bits": 361673760,
"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.24": {
"accuracy": 0.9619624614715576,
"total_bits": 361673760,
"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": 0.9607523679733276,
"total_bits": 361673760,
"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.26": {
"accuracy": 0.9579014778137207,
"total_bits": 361673760,
"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": 0.9534207582473755,
"total_bits": 361673760,
"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": 0.9508507251739502,
"total_bits": 361673760,
"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.29": {
"accuracy": 0.9470303058624268,
"total_bits": 361673760,
"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.30": {
"accuracy": 0.9453625679016113,
"total_bits": 361673760,
"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.31": {
"accuracy": 0.9427030086517334,
"total_bits": 361673760,
"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.32": {
"accuracy": 0.9438602924346924,
"total_bits": 373601312,
"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.33": {
"accuracy": 0.9368832111358643,
"total_bits": 379106336,
"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.34": {
"accuracy": 0.9361872673034668,
"total_bits": 405582880,
"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.35": {
"accuracy": 0.9489033222198486,
"total_bits": 477279264,
"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.36": {
"accuracy": 0.9453229904174805,
"total_bits": 477279264,
"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.37": {
"accuracy": 0.9442036151885986,
"total_bits": 477279264,
"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.38": {
"accuracy": 0.9535946846008301,
"total_bits": 571651104,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.5,
0.5
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.5,
0.5
],
"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": [
0.5,
0.5
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.5,
0.5
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.5,
0.5
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1.0
],
"scale_bits": 4
}
},
"model.layers.39": {
"accuracy": 0.9655042886734009,
"total_bits": 634565664,
"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
}
},
"model.layers.40": {
"accuracy": 0.9649480581283569,
"total_bits": 634565664,
"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
}
},
"model.layers.41": {
"accuracy": 0.966320276260376,
"total_bits": 634565664,
"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
}
},
"model.layers.42": {
"accuracy": 0.9660360813140869,
"total_bits": 634565664,
"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
}
},
"model.layers.43": {
"accuracy": 0.9821763634681702,
"total_bits": 697480224,
"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
},
"o_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
},
"gate_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
}
},
"model.layers.44": {
"accuracy": 0.9825348258018494,
"total_bits": 697480224,
"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
},
"o_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
},
"gate_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
}
},
"model.layers.45": {
"accuracy": 0.9833475351333618,
"total_bits": 697480224,
"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
},
"o_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
},
"gate_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
}
},
"model.layers.46": {
"accuracy": 0.9827241897583008,
"total_bits": 697480224,
"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
},
"o_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
},
"gate_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
}
},
"model.layers.47": {
"accuracy": 0.926713228225708,
"total_bits": 697480224,
"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
},
"o_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
},
"gate_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
}
}
}
}