Hugging Face's logo

GreenBitAI
/
Qwen-1.5-7B-channel-mix-bpw-2.5

Text Generation
Transformers
Safetensors
qwen2
conversational
text-generation-inference
Model card Files Community
Qwen-1.5-7B-channel-mix-bpw-2.5 / quant_strategy.json
NicoNico6
update
81a669f
raw
history blame contribute delete
84.9 kB
{
"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": 0.8865752220153809,
"total_bits": 438744096,
"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.21": {
"accuracy": 0.8960456848144531,
"total_bits": 478983200,
"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.22": {
"accuracy": 0.9200637340545654,
"total_bits": 569947168,
"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.23": {
"accuracy": 0.9202742576599121,
"total_bits": 569947168,
"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.24": {
"accuracy": 0.9226315021514893,
"total_bits": 569947168,
"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.25": {
"accuracy": 0.9289422035217285,
"total_bits": 605074464,
"q_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.25,
0.75
],
"scale_bits": 4
},
"k_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.25,
0.75
],
"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": [
0.25,
0.75
],
"scale_bits": 4
},
"up_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.25,
0.75
],
"scale_bits": 4
},
"gate_proj": {
"group_size": {
"4": 128,
"2": 128
},
"bits": [
4,
2
],
"bits_prop": [
0.25,
0.75
],
"scale_bits": 4
},
"down_proj": {
"group_size": {
"4": 128
},
"bits": [
4
],
"bits_prop": [
1
],
"scale_bits": 4
}
},
"model.layers.26": {
"accuracy": 0.9477505683898926,
"total_bits": 675329056,
"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.27": {
"accuracy": 0.9476766586303711,
"total_bits": 675329056,
"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.28": {
"accuracy": 0.9620603322982788,
"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
}
},
"model.layers.29": {
"accuracy": 0.9621827602386475,
"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
}
},
"model.layers.30": {
"accuracy": 0.9764816761016846,
"total_bits": 815838240,
"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.31": {
"accuracy": 0.9629597663879395,
"total_bits": 815838240,
"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
}
}
}
}