MiniCPM5-2B-5BitL-MLX / optiq /metadata.json
dalatexcoder's picture
Upload folder using huggingface_hub
98356ae verified
Raw History Blame Contribute Delete
25.9 kB
{
"method": "optiq_mixed_precision",
"base_model": "openbmb/MiniCPM5-2B",
"reference": "bf16",
"target_bpw": 4.83,
"achieved_bpw": 4.8314685314685315,
"n_high_bits": 40,
"n_low_bits": 0,
"threshold": 0.0,
"per_layer": {
"lm_head": {
"bits": 8,
"group_size": 64
},
"model.layers.41.mlp.up_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.41.mlp.down_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.41.mlp.gate_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.41.self_attn.o_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.41.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.41.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.41.self_attn.q_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.40.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.40.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.40.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.40.self_attn.o_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.40.self_attn.v_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.40.self_attn.k_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.40.self_attn.q_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.39.mlp.up_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.39.mlp.down_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.39.mlp.gate_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.39.self_attn.o_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.39.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.39.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.39.self_attn.q_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.38.mlp.up_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.38.mlp.down_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.38.mlp.gate_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.38.self_attn.o_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.38.self_attn.v_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.38.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.38.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.37.mlp.up_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.37.mlp.down_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.37.mlp.gate_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.37.self_attn.o_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.37.self_attn.v_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.37.self_attn.k_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.37.self_attn.q_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.36.mlp.up_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.36.mlp.down_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.36.mlp.gate_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.36.self_attn.o_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.36.self_attn.v_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.36.self_attn.k_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.36.self_attn.q_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.35.mlp.up_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.35.mlp.down_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.35.mlp.gate_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.35.self_attn.o_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.35.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.35.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.35.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.34.mlp.up_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.34.mlp.down_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.34.mlp.gate_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.34.self_attn.o_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.34.self_attn.v_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.34.self_attn.k_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.34.self_attn.q_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.33.mlp.up_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.33.mlp.down_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.33.mlp.gate_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.33.self_attn.o_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.33.self_attn.v_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.33.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.33.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.32.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.32.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.32.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.32.self_attn.o_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.32.self_attn.v_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.32.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.32.self_attn.q_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.31.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.31.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.31.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.31.self_attn.o_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.31.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.31.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.31.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.30.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.30.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.30.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.30.self_attn.o_proj": {
"bits": 3,
"group_size": 64
},
"model.layers.30.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.30.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.30.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.29.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.29.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.29.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.29.self_attn.o_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.29.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.29.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.29.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.28.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.28.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.28.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.28.self_attn.o_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.28.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.28.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.28.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.27.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.27.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.27.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.27.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.27.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.27.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.27.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.26.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.26.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.26.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.26.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.26.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.26.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.26.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.25.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.25.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.25.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.25.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.25.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.25.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.25.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.24.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.24.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.24.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.24.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.24.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.24.self_attn.k_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.24.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.23.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.23.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.23.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.23.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.23.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.23.self_attn.k_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.23.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.22.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.22.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.22.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.22.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.22.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.22.self_attn.k_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.22.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.21.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.21.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.21.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.21.self_attn.o_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.21.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.21.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.21.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.20.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.20.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.20.mlp.gate_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.20.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.20.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.20.self_attn.k_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.20.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.19.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.19.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.19.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.19.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.19.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.19.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.19.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.18.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.18.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.18.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.18.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.18.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.18.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.18.self_attn.q_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.17.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.17.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.17.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.17.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.17.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.17.self_attn.k_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.17.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.16.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.16.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.16.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.16.self_attn.o_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.16.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.16.self_attn.k_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.16.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.15.mlp.up_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.15.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.15.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.15.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.15.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.15.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.15.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.14.mlp.up_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.14.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.14.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.14.self_attn.o_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.14.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.14.self_attn.k_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.14.self_attn.q_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.13.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.13.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.13.mlp.gate_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.13.self_attn.o_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.13.self_attn.v_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.13.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.13.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.12.mlp.up_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.12.mlp.down_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.12.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.12.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.12.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.12.self_attn.k_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.12.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.11.mlp.up_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.11.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.11.mlp.gate_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.11.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.11.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.11.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.11.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.10.mlp.up_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.10.mlp.down_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.10.mlp.gate_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.10.self_attn.o_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.10.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.10.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.10.self_attn.q_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.9.mlp.up_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.9.mlp.down_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.9.mlp.gate_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.9.self_attn.o_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.9.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.9.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.9.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.8.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.8.mlp.down_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.8.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.8.self_attn.o_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.8.self_attn.v_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.8.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.8.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.7.mlp.up_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.7.mlp.down_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.7.mlp.gate_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.7.self_attn.o_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.7.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.7.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.7.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.6.mlp.up_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.6.mlp.down_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.6.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.6.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.6.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.6.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.6.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.5.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.5.mlp.down_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.5.mlp.gate_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.5.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.5.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.5.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.5.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.4.mlp.up_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.4.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.4.mlp.gate_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.4.self_attn.o_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.4.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.4.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.4.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.3.mlp.up_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.3.mlp.down_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.3.mlp.gate_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.3.self_attn.o_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.3.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.3.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.3.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.2.mlp.up_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.2.mlp.down_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.2.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.2.self_attn.o_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.2.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.2.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.2.self_attn.q_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.1.mlp.up_proj": {
"bits": 5,
"group_size": 64
},
"model.layers.1.mlp.down_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.1.mlp.gate_proj": {
"bits": 4,
"group_size": 64
},
"model.layers.1.self_attn.o_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.1.self_attn.v_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.1.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.1.self_attn.q_proj": {
"bits": 6,
"group_size": 64
},
"model.layers.0.mlp.up_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.0.mlp.down_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.0.mlp.gate_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.0.self_attn.o_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.0.self_attn.v_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.0.self_attn.k_proj": {
"bits": 8,
"group_size": 64
},
"model.layers.0.self_attn.q_proj": {
"bits": 8,
"group_size": 64
}
}
}