| { |
| "bits": 2, |
| "data_type": "int", |
| "group_size": 64, |
| "sym": true, |
| "iters": 1000, |
| "lr": 0.002, |
| "minmax_lr": 0.002, |
| "static_attention_granularity": "tensor", |
| "static_kv_granularity": "tensor", |
| "autoround_version": "0.15.0", |
| "block_name_to_quantize": "model.language_model.layers", |
| "quant_method": "auto-round", |
| "packing_format": "auto_round:auto_gptq", |
| "extra_config": { |
| "model.language_model.layers.0.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.0.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.1.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.1.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.2.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.2.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.4.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.4.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.5.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.5.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.6.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.6.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.8.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.8.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.9.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.9.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.10.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.10.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.12.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.12.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.13.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.13.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.14.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.14.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.16.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.16.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.17.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.17.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.18.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.18.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.20.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.20.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.21.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.21.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.22.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.22.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.24.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.24.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.25.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.25.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.26.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.26.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.28.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.28.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.29.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.29.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.30.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.30.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.32.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.32.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.33.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.33.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.34.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.34.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.36.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.36.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.37.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.37.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.38.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.38.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.40.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.40.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.41.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.41.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.42.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.42.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.44.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.44.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.45.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.45.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.46.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.46.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.48.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.48.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.49.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.49.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.50.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.50.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.52.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.52.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.53.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.53.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.54.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.54.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.56.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.56.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.57.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.57.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.58.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.58.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.60.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.60.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.61.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.61.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.62.linear_attn.in_proj_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.62.linear_attn.in_proj_a": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.language_model.layers.0.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.0.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.1.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.1.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.2.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.2.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.2.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.2.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.3.self_attn.k_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.3.self_attn.q_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.3.self_attn.v_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.3.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.3.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.4.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.4.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.4.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.4.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.5.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.5.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.5.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.5.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.6.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.6.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.6.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.6.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.7.self_attn.k_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.7.self_attn.q_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.7.self_attn.v_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.7.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.7.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.8.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.8.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.8.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.8.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.9.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.9.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.9.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.9.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.10.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.10.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.10.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.10.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.11.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.11.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.12.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.12.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.12.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.12.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.13.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.13.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.14.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.14.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.16.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.16.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.17.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.17.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.17.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.17.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.18.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.18.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.18.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.18.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.19.self_attn.k_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.19.self_attn.q_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.19.self_attn.v_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.19.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.19.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.20.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.20.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.20.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.20.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.21.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.21.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.21.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.21.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.22.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.22.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.22.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.22.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.23.self_attn.k_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.23.self_attn.q_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.23.self_attn.v_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.23.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.23.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.24.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.24.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.24.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.24.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.25.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.25.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.25.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.25.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.26.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.26.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.26.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.26.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.27.self_attn.k_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.27.self_attn.q_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.27.self_attn.v_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.27.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.27.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.28.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.28.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.28.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.28.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.29.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.29.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.29.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.29.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.30.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.30.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.30.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.30.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.31.self_attn.k_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.31.self_attn.q_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.31.self_attn.v_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.31.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.31.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.32.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.32.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.32.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.32.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.33.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.33.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.33.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.33.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.34.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.34.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.34.linear_attn.in_proj_qkv": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.34.linear_attn.in_proj_z": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.35.self_attn.k_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.35.self_attn.q_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.35.self_attn.v_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.35.mlp.gate_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.35.mlp.up_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.43.self_attn.k_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.43.self_attn.q_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.43.self_attn.v_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.51.self_attn.k_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.51.self_attn.q_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.51.self_attn.v_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.63.self_attn.k_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.63.self_attn.q_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.63.self_attn.v_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.0.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.1.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.1.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.2.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.2.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.3.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.3.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.4.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.4.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.5.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.5.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.6.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.6.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.7.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.7.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.8.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.8.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.9.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.9.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.10.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.10.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.11.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.11.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.12.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.12.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.13.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.13.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.14.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.14.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.15.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.15.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.16.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.16.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.17.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.17.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.18.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.18.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.19.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.19.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.20.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.20.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.21.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.21.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.22.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.22.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.23.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.23.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.24.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.24.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.25.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.25.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.26.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.26.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.27.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.27.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.28.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.28.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.29.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.29.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.30.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.30.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.31.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.31.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.32.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.32.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.33.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.33.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.34.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.34.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.35.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.35.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.36.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.36.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.37.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.37.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.38.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.38.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.39.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.39.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.40.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.40.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.41.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.42.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.43.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.44.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.45.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.46.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.47.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.48.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.49.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.50.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.50.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.51.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.51.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.52.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.53.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.55.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.59.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.62.linear_attn.out_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.63.self_attn.o_proj": { |
| "bits": 3, |
| "group_size": 128 |
| }, |
| "model.language_model.layers.63.mlp.down_proj": { |
| "bits": 3, |
| "group_size": 128 |
| } |
| } |
| } |