inference-optimization/DSV4-tiny-empty
15.4k
1{2 "model.embed_tokens.weight": "embed.weight",3 "model.hc_head.hc_base": "hc_head_base",4 "model.hc_head.hc_fn": "hc_head_fn",5 "model.hc_head.hc_scale": "hc_head_scale",6 "model.layers.0.attn_hc.base": "layers.0.hc_attn_base",7 "model.layers.0.attn_hc.fn": "layers.0.hc_attn_fn",8 "model.layers.0.attn_hc.scale": "layers.0.hc_attn_scale",9 "model.layers.0.ffn_hc.base": "layers.0.hc_ffn_base",10 "model.layers.0.ffn_hc.fn": "layers.0.hc_ffn_fn",11 "model.layers.0.ffn_hc.scale": "layers.0.hc_ffn_scale",12 "model.layers.0.input_layernorm.weight": "layers.0.attn_norm.weight",13 "model.layers.0.mlp.experts.0.w1.weight": "layers.0.ffn.experts.0.w1.weight",14 "model.layers.0.mlp.experts.0.w2.weight": "layers.0.ffn.experts.0.w2.weight",15 "model.layers.0.mlp.experts.0.w3.weight": "layers.0.ffn.experts.0.w3.weight",16 "model.layers.0.mlp.experts.1.w1.weight": "layers.0.ffn.experts.1.w1.weight",17 "model.layers.0.mlp.experts.1.w2.weight": "layers.0.ffn.experts.1.w2.weight",18 "model.layers.0.mlp.experts.1.w3.weight": "layers.0.ffn.experts.1.w3.weight",19 "model.layers.0.mlp.experts.10.w1.weight": "layers.0.ffn.experts.10.w1.weight",20 "model.layers.0.mlp.experts.10.w2.weight": "layers.0.ffn.experts.10.w2.weight",21 "model.layers.0.mlp.experts.10.w3.weight": "layers.0.ffn.experts.10.w3.weight",22 "model.layers.0.mlp.experts.11.w1.weight": "layers.0.ffn.experts.11.w1.weight",23 "model.layers.0.mlp.experts.11.w2.weight": "layers.0.ffn.experts.11.w2.weight",24 "model.layers.0.mlp.experts.11.w3.weight": "layers.0.ffn.experts.11.w3.weight",25 "model.layers.0.mlp.experts.12.w1.weight": "layers.0.ffn.experts.12.w1.weight",26 "model.layers.0.mlp.experts.12.w2.weight": "layers.0.ffn.experts.12.w2.weight",27 "model.layers.0.mlp.experts.12.w3.weight": "layers.0.ffn.experts.12.w3.weight",28 "model.layers.0.mlp.experts.13.w1.weight": "layers.0.ffn.experts.13.w1.weight",29 "model.layers.0.mlp.experts.13.w2.weight": "layers.0.ffn.experts.13.w2.weight",30 "model.layers.0.mlp.experts.13.w3.weight": "layers.0.ffn.experts.13.w3.weight",31 "model.layers.0.mlp.experts.14.w1.weight": "layers.0.ffn.experts.14.w1.weight",32 "model.layers.0.mlp.experts.14.w2.weight": "layers.0.ffn.experts.14.w2.weight",33 "model.layers.0.mlp.experts.14.w3.weight": "layers.0.ffn.experts.14.w3.weight",34 "model.layers.0.mlp.experts.15.w1.weight": "layers.0.ffn.experts.15.w1.weight",35 "model.layers.0.mlp.experts.15.w2.weight": "layers.0.ffn.experts.15.w2.weight",36 "model.layers.0.mlp.experts.15.w3.weight": "layers.0.ffn.experts.15.w3.weight",37 "model.layers.0.mlp.experts.2.w1.weight": "layers.0.ffn.experts.2.w1.weight",38 "model.layers.0.mlp.experts.2.w2.weight": "layers.0.ffn.experts.2.w2.weight",39 "model.layers.0.mlp.experts.2.w3.weight": "layers.0.ffn.experts.2.w3.weight",40 "model.layers.0.mlp.experts.3.w1.weight": "layers.0.ffn.experts.3.w1.weight",41 "model.layers.0.mlp.experts.3.w2.weight": "layers.0.ffn.experts.3.w2.weight",42 "model.layers.0.mlp.experts.3.w3.weight": "layers.0.ffn.experts.3.w3.weight",43 "model.layers.0.mlp.experts.4.w1.weight": "layers.0.ffn.experts.4.w1.weight",44 "model.layers.0.mlp.experts.4.w2.weight": "layers.0.ffn.experts.4.w2.weight",45 "model.layers.0.mlp.experts.4.w3.weight": "layers.0.ffn.experts.4.w3.weight",46 "model.layers.0.mlp.experts.5.w1.weight": "layers.0.ffn.experts.5.w1.weight",47 "model.layers.0.mlp.experts.5.w2.weight": "layers.0.ffn.experts.5.w2.weight",48 "model.layers.0.mlp.experts.5.w3.weight": "layers.0.ffn.experts.5.w3.weight",49 "model.layers.0.mlp.experts.6.w1.weight": "layers.0.ffn.experts.6.w1.weight",50 "model.layers.0.mlp.experts.6.w2.weight": "layers.0.ffn.experts.6.w2.weight",51 "model.layers.0.mlp.experts.6.w3.weight": "layers.0.ffn.experts.6.w3.weight",52 "model.layers.0.mlp.experts.7.w1.weight": "layers.0.ffn.experts.7.w1.weight",53 "model.layers.0.mlp.experts.7.w2.weight": "layers.0.ffn.experts.7.w2.weight",54 "model.layers.0.mlp.experts.7.w3.weight": "layers.0.ffn.experts.7.w3.weight",55 "model.layers.0.mlp.experts.8.w1.weight": "layers.0.ffn.experts.8.w1.weight",56 "model.layers.0.mlp.experts.8.w2.weight": "layers.0.ffn.experts.8.w2.weight",57 "model.layers.0.mlp.experts.8.w3.weight": "layers.0.ffn.experts.8.w3.weight",58 "model.layers.0.mlp.experts.9.w1.weight": "layers.0.ffn.experts.9.w1.weight",59 "model.layers.0.mlp.experts.9.w2.weight": "layers.0.ffn.experts.9.w2.weight",60 "model.layers.0.mlp.experts.9.w3.weight": "layers.0.ffn.experts.9.w3.weight",61 "model.layers.0.mlp.gate.tid2eid": "layers.0.ffn.gate.tid2eid",62 "model.layers.0.mlp.gate.weight": "layers.0.ffn.gate.weight",63 "model.layers.0.mlp.shared_experts.down_proj.weight": "layers.0.ffn.shared_experts.w2.weight",64 "model.layers.0.mlp.shared_experts.gate_proj.weight": "layers.0.ffn.shared_experts.w1.weight",65 "model.layers.0.mlp.shared_experts.up_proj.weight": "layers.0.ffn.shared_experts.w3.weight",66 "model.layers.0.post_attention_layernorm.weight": "layers.0.ffn_norm.weight",67 "model.layers.0.self_attn.compressor.gate_proj.weight": "layers.0.attn.compressor.gate_proj.weight",68 "model.layers.0.self_attn.compressor.kv_norm.weight": "layers.0.attn.compressor.kv_norm.weight",69 "model.layers.0.self_attn.compressor.kv_proj.weight": "layers.0.attn.compressor.kv_proj.weight",70 "model.layers.0.self_attn.compressor.position_bias": "layers.0.attn.compressor.position_bias",71 "model.layers.0.self_attn.kv_norm.weight": "layers.0.attn.kv_norm.weight",72 "model.layers.0.self_attn.kv_proj.weight": "layers.0.attn.wkv.weight",73 "model.layers.0.self_attn.o_a_proj.weight": "layers.0.attn.wo_a.weight",74 "model.layers.0.self_attn.o_b_proj.weight": "layers.0.attn.wo_b.weight",75 "model.layers.0.self_attn.q_a_norm.weight": "layers.0.attn.q_norm.weight",76 "model.layers.0.self_attn.q_a_proj.weight": "layers.0.attn.wq_a.weight",77 "model.layers.0.self_attn.q_b_proj.weight": "layers.0.attn.wq_b.weight",78 "model.layers.0.self_attn.sinks": "layers.0.attn.attn_sink",79 "model.layers.1.attn_hc.base": "layers.1.hc_attn_base",80 "model.layers.1.attn_hc.fn": "layers.1.hc_attn_fn",81 "model.layers.1.attn_hc.scale": "layers.1.hc_attn_scale",82 "model.layers.1.ffn_hc.base": "layers.1.hc_ffn_base",83 "model.layers.1.ffn_hc.fn": "layers.1.hc_ffn_fn",84 "model.layers.1.ffn_hc.scale": "layers.1.hc_ffn_scale",85 "model.layers.1.input_layernorm.weight": "layers.1.attn_norm.weight",86 "model.layers.1.mlp.experts.0.w1.weight": "layers.1.ffn.experts.0.w1.weight",87 "model.layers.1.mlp.experts.0.w2.weight": "layers.1.ffn.experts.0.w2.weight",88 "model.layers.1.mlp.experts.0.w3.weight": "layers.1.ffn.experts.0.w3.weight",89 "model.layers.1.mlp.experts.1.w1.weight": "layers.1.ffn.experts.1.w1.weight",90 "model.layers.1.mlp.experts.1.w2.weight": "layers.1.ffn.experts.1.w2.weight",91 "model.layers.1.mlp.experts.1.w3.weight": "layers.1.ffn.experts.1.w3.weight",92 "model.layers.1.mlp.experts.10.w1.weight": "layers.1.ffn.experts.10.w1.weight",93 "model.layers.1.mlp.experts.10.w2.weight": "layers.1.ffn.experts.10.w2.weight",94 "model.layers.1.mlp.experts.10.w3.weight": "layers.1.ffn.experts.10.w3.weight",95 "model.layers.1.mlp.experts.11.w1.weight": "layers.1.ffn.experts.11.w1.weight",96 "model.layers.1.mlp.experts.11.w2.weight": "layers.1.ffn.experts.11.w2.weight",97 "model.layers.1.mlp.experts.11.w3.weight": "layers.1.ffn.experts.11.w3.weight",98 "model.layers.1.mlp.experts.12.w1.weight": "layers.1.ffn.experts.12.w1.weight",99 "model.layers.1.mlp.experts.12.w2.weight": "layers.1.ffn.experts.12.w2.weight",100 "model.layers.1.mlp.experts.12.w3.weight": "layers.1.ffn.experts.12.w3.weight",101 "model.layers.1.mlp.experts.13.w1.weight": "layers.1.ffn.experts.13.w1.weight",102 "model.layers.1.mlp.experts.13.w2.weight": "layers.1.ffn.experts.13.w2.weight",103 "model.layers.1.mlp.experts.13.w3.weight": "layers.1.ffn.experts.13.w3.weight",104 "model.layers.1.mlp.experts.14.w1.weight": "layers.1.ffn.experts.14.w1.weight",105 "model.layers.1.mlp.experts.14.w2.weight": "layers.1.ffn.experts.14.w2.weight",106 "model.layers.1.mlp.experts.14.w3.weight": "layers.1.ffn.experts.14.w3.weight",107 "model.layers.1.mlp.experts.15.w1.weight": "layers.1.ffn.experts.15.w1.weight",108 "model.layers.1.mlp.experts.15.w2.weight": "layers.1.ffn.experts.15.w2.weight",109 "model.layers.1.mlp.experts.15.w3.weight": "layers.1.ffn.experts.15.w3.weight",110 "model.layers.1.mlp.experts.2.w1.weight": "layers.1.ffn.experts.2.w1.weight",111 "model.layers.1.mlp.experts.2.w2.weight": "layers.1.ffn.experts.2.w2.weight",112 "model.layers.1.mlp.experts.2.w3.weight": "layers.1.ffn.experts.2.w3.weight",113 "model.layers.1.mlp.experts.3.w1.weight": "layers.1.ffn.experts.3.w1.weight",114 "model.layers.1.mlp.experts.3.w2.weight": "layers.1.ffn.experts.3.w2.weight",115 "model.layers.1.mlp.experts.3.w3.weight": "layers.1.ffn.experts.3.w3.weight",116 "model.layers.1.mlp.experts.4.w1.weight": "layers.1.ffn.experts.4.w1.weight",117 "model.layers.1.mlp.experts.4.w2.weight": "layers.1.ffn.experts.4.w2.weight",118 "model.layers.1.mlp.experts.4.w3.weight": "layers.1.ffn.experts.4.w3.weight",119 "model.layers.1.mlp.experts.5.w1.weight": "layers.1.ffn.experts.5.w1.weight",120 "model.layers.1.mlp.experts.5.w2.weight": "layers.1.ffn.experts.5.w2.weight",121 "model.layers.1.mlp.experts.5.w3.weight": "layers.1.ffn.experts.5.w3.weight",122 "model.layers.1.mlp.experts.6.w1.weight": "layers.1.ffn.experts.6.w1.weight",123 "model.layers.1.mlp.experts.6.w2.weight": "layers.1.ffn.experts.6.w2.weight",124 "model.layers.1.mlp.experts.6.w3.weight": "layers.1.ffn.experts.6.w3.weight",125 "model.layers.1.mlp.experts.7.w1.weight": "layers.1.ffn.experts.7.w1.weight",126 "model.layers.1.mlp.experts.7.w2.weight": "layers.1.ffn.experts.7.w2.weight",127 "model.layers.1.mlp.experts.7.w3.weight": "layers.1.ffn.experts.7.w3.weight",128 "model.layers.1.mlp.experts.8.w1.weight": "layers.1.ffn.experts.8.w1.weight",129 "model.layers.1.mlp.experts.8.w2.weight": "layers.1.ffn.experts.8.w2.weight",130 "model.layers.1.mlp.experts.8.w3.weight": "layers.1.ffn.experts.8.w3.weight",131 "model.layers.1.mlp.experts.9.w1.weight": "layers.1.ffn.experts.9.w1.weight",132 "model.layers.1.mlp.experts.9.w2.weight": "layers.1.ffn.experts.9.w2.weight",133 "model.layers.1.mlp.experts.9.w3.weight": "layers.1.ffn.experts.9.w3.weight",134 "model.layers.1.mlp.gate.e_score_correction_bias": "layers.1.ffn.gate.e_score_correction_bias",135 "model.layers.1.mlp.gate.weight": "layers.1.ffn.gate.weight",136 "model.layers.1.mlp.shared_experts.down_proj.weight": "layers.1.ffn.shared_experts.w2.weight",137 "model.layers.1.mlp.shared_experts.gate_proj.weight": "layers.1.ffn.shared_experts.w1.weight",138 "model.layers.1.mlp.shared_experts.up_proj.weight": "layers.1.ffn.shared_experts.w3.weight",139 "model.layers.1.post_attention_layernorm.weight": "layers.1.ffn_norm.weight",140 "model.layers.1.self_attn.compressor.gate_proj.weight": "layers.1.attn.compressor.gate_proj.weight",141 "model.layers.1.self_attn.compressor.indexer.gate_proj.weight": "layers.1.attn.compressor.indexer.gate_proj.weight",142 "model.layers.1.self_attn.compressor.indexer.kv_norm.weight": "layers.1.attn.compressor.indexer.kv_norm.weight",143 "model.layers.1.self_attn.compressor.indexer.kv_proj.weight": "layers.1.attn.compressor.indexer.kv_proj.weight",144 "model.layers.1.self_attn.compressor.indexer.position_bias": "layers.1.attn.compressor.indexer.position_bias",145 "model.layers.1.self_attn.compressor.indexer.q_b_proj.weight": "layers.1.attn.compressor.indexer.q_b_proj.weight",146 "model.layers.1.self_attn.compressor.indexer.weights_proj.weight": "layers.1.attn.compressor.indexer.weights_proj.weight",147 "model.layers.1.self_attn.compressor.kv_norm.weight": "layers.1.attn.compressor.kv_norm.weight",148 "model.layers.1.self_attn.compressor.kv_proj.weight": "layers.1.attn.compressor.kv_proj.weight",149 "model.layers.1.self_attn.compressor.position_bias": "layers.1.attn.compressor.position_bias",150 "model.layers.1.self_attn.kv_norm.weight": "layers.1.attn.kv_norm.weight",151 "model.layers.1.self_attn.kv_proj.weight": "layers.1.attn.wkv.weight",152 "model.layers.1.self_attn.o_a_proj.weight": "layers.1.attn.wo_a.weight",153 "model.layers.1.self_attn.o_b_proj.weight": "layers.1.attn.wo_b.weight",154 "model.layers.1.self_attn.q_a_norm.weight": "layers.1.attn.q_norm.weight",155 "model.layers.1.self_attn.q_a_proj.weight": "layers.1.attn.wq_a.weight",156 "model.layers.1.self_attn.q_b_proj.weight": "layers.1.attn.wq_b.weight",157 "model.layers.1.self_attn.sinks": "layers.1.attn.attn_sink",158 "model.layers.2.attn_hc.base": "layers.2.hc_attn_base",159 "model.layers.2.attn_hc.fn": "layers.2.hc_attn_fn",160 "model.layers.2.attn_hc.scale": "layers.2.hc_attn_scale",161 "model.layers.2.ffn_hc.base": "layers.2.hc_ffn_base",162 "model.layers.2.ffn_hc.fn": "layers.2.hc_ffn_fn",163 "model.layers.2.ffn_hc.scale": "layers.2.hc_ffn_scale",164 "model.layers.2.input_layernorm.weight": "layers.2.attn_norm.weight",165 "model.layers.2.mlp.experts.0.w1.weight": "layers.2.ffn.experts.0.w1.weight",166 "model.layers.2.mlp.experts.0.w2.weight": "layers.2.ffn.experts.0.w2.weight",167 "model.layers.2.mlp.experts.0.w3.weight": "layers.2.ffn.experts.0.w3.weight",168 "model.layers.2.mlp.experts.1.w1.weight": "layers.2.ffn.experts.1.w1.weight",169 "model.layers.2.mlp.experts.1.w2.weight": "layers.2.ffn.experts.1.w2.weight",170 "model.layers.2.mlp.experts.1.w3.weight": "layers.2.ffn.experts.1.w3.weight",171 "model.layers.2.mlp.experts.10.w1.weight": "layers.2.ffn.experts.10.w1.weight",172 "model.layers.2.mlp.experts.10.w2.weight": "layers.2.ffn.experts.10.w2.weight",173 "model.layers.2.mlp.experts.10.w3.weight": "layers.2.ffn.experts.10.w3.weight",174 "model.layers.2.mlp.experts.11.w1.weight": "layers.2.ffn.experts.11.w1.weight",175 "model.layers.2.mlp.experts.11.w2.weight": "layers.2.ffn.experts.11.w2.weight",176 "model.layers.2.mlp.experts.11.w3.weight": "layers.2.ffn.experts.11.w3.weight",177 "model.layers.2.mlp.experts.12.w1.weight": "layers.2.ffn.experts.12.w1.weight",178 "model.layers.2.mlp.experts.12.w2.weight": "layers.2.ffn.experts.12.w2.weight",179 "model.layers.2.mlp.experts.12.w3.weight": "layers.2.ffn.experts.12.w3.weight",180 "model.layers.2.mlp.experts.13.w1.weight": "layers.2.ffn.experts.13.w1.weight",181 "model.layers.2.mlp.experts.13.w2.weight": "layers.2.ffn.experts.13.w2.weight",182 "model.layers.2.mlp.experts.13.w3.weight": "layers.2.ffn.experts.13.w3.weight",183 "model.layers.2.mlp.experts.14.w1.weight": "layers.2.ffn.experts.14.w1.weight",184 "model.layers.2.mlp.experts.14.w2.weight": "layers.2.ffn.experts.14.w2.weight",185 "model.layers.2.mlp.experts.14.w3.weight": "layers.2.ffn.experts.14.w3.weight",186 "model.layers.2.mlp.experts.15.w1.weight": "layers.2.ffn.experts.15.w1.weight",187 "model.layers.2.mlp.experts.15.w2.weight": "layers.2.ffn.experts.15.w2.weight",188 "model.layers.2.mlp.experts.15.w3.weight": "layers.2.ffn.experts.15.w3.weight",189 "model.layers.2.mlp.experts.2.w1.weight": "layers.2.ffn.experts.2.w1.weight",190 "model.layers.2.mlp.experts.2.w2.weight": "layers.2.ffn.experts.2.w2.weight",191 "model.layers.2.mlp.experts.2.w3.weight": "layers.2.ffn.experts.2.w3.weight",192 "model.layers.2.mlp.experts.3.w1.weight": "layers.2.ffn.experts.3.w1.weight",193 "model.layers.2.mlp.experts.3.w2.weight": "layers.2.ffn.experts.3.w2.weight",194 "model.layers.2.mlp.experts.3.w3.weight": "layers.2.ffn.experts.3.w3.weight",195 "model.layers.2.mlp.experts.4.w1.weight": "layers.2.ffn.experts.4.w1.weight",196 "model.layers.2.mlp.experts.4.w2.weight": "layers.2.ffn.experts.4.w2.weight",197 "model.layers.2.mlp.experts.4.w3.weight": "layers.2.ffn.experts.4.w3.weight",198 "model.layers.2.mlp.experts.5.w1.weight": "layers.2.ffn.experts.5.w1.weight",199 "model.layers.2.mlp.experts.5.w2.weight": "layers.2.ffn.experts.5.w2.weight",200 "model.layers.2.mlp.experts.5.w3.weight": "layers.2.ffn.experts.5.w3.weight",201 "model.layers.2.mlp.experts.6.w1.weight": "layers.2.ffn.experts.6.w1.weight",202 "model.layers.2.mlp.experts.6.w2.weight": "layers.2.ffn.experts.6.w2.weight",203 "model.layers.2.mlp.experts.6.w3.weight": "layers.2.ffn.experts.6.w3.weight",204 "model.layers.2.mlp.experts.7.w1.weight": "layers.2.ffn.experts.7.w1.weight",205 "model.layers.2.mlp.experts.7.w2.weight": "layers.2.ffn.experts.7.w2.weight",206 "model.layers.2.mlp.experts.7.w3.weight": "layers.2.ffn.experts.7.w3.weight",207 "model.layers.2.mlp.experts.8.w1.weight": "layers.2.ffn.experts.8.w1.weight",208 "model.layers.2.mlp.experts.8.w2.weight": "layers.2.ffn.experts.8.w2.weight",209 "model.layers.2.mlp.experts.8.w3.weight": "layers.2.ffn.experts.8.w3.weight",210 "model.layers.2.mlp.experts.9.w1.weight": "layers.2.ffn.experts.9.w1.weight",211 "model.layers.2.mlp.experts.9.w2.weight": "layers.2.ffn.experts.9.w2.weight",212 "model.layers.2.mlp.experts.9.w3.weight": "layers.2.ffn.experts.9.w3.weight",213 "model.layers.2.mlp.gate.e_score_correction_bias": "layers.2.ffn.gate.e_score_correction_bias",214 "model.layers.2.mlp.gate.weight": "layers.2.ffn.gate.weight",215 "model.layers.2.mlp.shared_experts.down_proj.weight": "layers.2.ffn.shared_experts.w2.weight",216 "model.layers.2.mlp.shared_experts.gate_proj.weight": "layers.2.ffn.shared_experts.w1.weight",217 "model.layers.2.mlp.shared_experts.up_proj.weight": "layers.2.ffn.shared_experts.w3.weight",218 "model.layers.2.post_attention_layernorm.weight": "layers.2.ffn_norm.weight",219 "model.layers.2.self_attn.kv_norm.weight": "layers.2.attn.kv_norm.weight",220 "model.layers.2.self_attn.kv_proj.weight": "layers.2.attn.wkv.weight",221 "model.layers.2.self_attn.o_a_proj.weight": "layers.2.attn.wo_a.weight",222 "model.layers.2.self_attn.o_b_proj.weight": "layers.2.attn.wo_b.weight",223 "model.layers.2.self_attn.q_a_norm.weight": "layers.2.attn.q_norm.weight",224 "model.layers.2.self_attn.q_a_proj.weight": "layers.2.attn.wq_a.weight",225 "model.layers.2.self_attn.q_b_proj.weight": "layers.2.attn.wq_b.weight",226 "model.layers.2.self_attn.sinks": "layers.2.attn.attn_sink",227 "model.norm.weight": "norm.weight"228}