| { |
| "architectures": [ |
| "GlmMoeDsaForCausalLM" |
| ], |
| "attention_bias": false, |
| "attention_dropout": 0.0, |
| "bos_token_id": 0, |
| "dtype": "bfloat16", |
| "eos_token_id": [ |
| 154820, |
| 154827, |
| 154829 |
| ], |
| "ep_size": 1, |
| "first_k_dense_replace": 3, |
| "head_dim": 192, |
| "hidden_act": "silu", |
| "hidden_size": 6144, |
| "index_head_dim": 128, |
| "index_n_heads": 32, |
| "index_share_for_mtp_iteration": true, |
| "index_skip_topk_offset": 3, |
| "index_topk": 2048, |
| "index_topk_freq": 4, |
| "index_topk_pattern": null, |
| "indexer_rope_interleave": true, |
| "indexer_types": [ |
| "full", |
| "full", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared", |
| "full", |
| "shared", |
| "shared", |
| "shared" |
| ], |
| "initializer_range": 0.02, |
| "intermediate_size": 12288, |
| "kv_lora_rank": 512, |
| "max_position_embeddings": 1048576, |
| "mlp_layer_types": [ |
| "dense", |
| "dense", |
| "dense", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse", |
| "sparse" |
| ], |
| "model_type": "glm_moe_dsa", |
| "moe_intermediate_size": 2048, |
| "moe_layer_freq": 1, |
| "n_group": 1, |
| "n_routed_experts": 256, |
| "n_shared_experts": 1, |
| "norm_topk_prob": true, |
| "num_attention_heads": 64, |
| "num_experts_per_tok": 8, |
| "num_hidden_layers": 78, |
| "num_key_value_heads": 64, |
| "num_nextn_predict_layers": 1, |
| "pad_token_id": 154820, |
| "pretraining_tp": 1, |
| "q_lora_rank": 2048, |
| "qk_head_dim": 256, |
| "qk_nope_head_dim": 192, |
| "qk_rope_head_dim": 64, |
| "quantization_config": { |
| "autoround_version": "0.14.0", |
| "batch_size": 2, |
| "bits": 4, |
| "block_name_to_quantize": [ |
| "^model\\.layers\\.3$", |
| "^model\\.layers\\.4$", |
| "^model\\.layers\\.5$", |
| "^model\\.layers\\.6$", |
| "^model\\.layers\\.7$", |
| "^model\\.layers\\.8$", |
| "^model\\.layers\\.9$", |
| "^model\\.layers\\.10$", |
| "^model\\.layers\\.11$", |
| "^model\\.layers\\.12$", |
| "^model\\.layers\\.13$", |
| "^model\\.layers\\.14$", |
| "^model\\.layers\\.15$", |
| "^model\\.layers\\.16$", |
| "^model\\.layers\\.17$", |
| "^model\\.layers\\.18$", |
| "^model\\.layers\\.19$", |
| "^model\\.layers\\.20$", |
| "^model\\.layers\\.21$", |
| "^model\\.layers\\.22$", |
| "^model\\.layers\\.23$", |
| "^model\\.layers\\.24$", |
| "^model\\.layers\\.25$", |
| "^model\\.layers\\.26$", |
| "^model\\.layers\\.27$", |
| "^model\\.layers\\.28$", |
| "^model\\.layers\\.29$", |
| "^model\\.layers\\.30$", |
| "^model\\.layers\\.31$", |
| "^model\\.layers\\.32$", |
| "^model\\.layers\\.33$", |
| "^model\\.layers\\.34$", |
| "^model\\.layers\\.35$", |
| "^model\\.layers\\.36$", |
| "^model\\.layers\\.37$", |
| "^model\\.layers\\.38$", |
| "^model\\.layers\\.39$", |
| "^model\\.layers\\.40$", |
| "^model\\.layers\\.41$", |
| "^model\\.layers\\.42$", |
| "^model\\.layers\\.43$", |
| "^model\\.layers\\.44$", |
| "^model\\.layers\\.45$", |
| "^model\\.layers\\.46$", |
| "^model\\.layers\\.47$", |
| "^model\\.layers\\.48$", |
| "^model\\.layers\\.49$", |
| "^model\\.layers\\.50$", |
| "^model\\.layers\\.51$", |
| "^model\\.layers\\.52$", |
| "^model\\.layers\\.53$", |
| "^model\\.layers\\.54$", |
| "^model\\.layers\\.55$", |
| "^model\\.layers\\.56$", |
| "^model\\.layers\\.57$", |
| "^model\\.layers\\.58$", |
| "^model\\.layers\\.59$", |
| "^model\\.layers\\.60$", |
| "^model\\.layers\\.61$", |
| "^model\\.layers\\.62$", |
| "^model\\.layers\\.63$", |
| "^model\\.layers\\.64$", |
| "^model\\.layers\\.65$", |
| "^model\\.layers\\.66$", |
| "^model\\.layers\\.67$", |
| "^model\\.layers\\.68$", |
| "^model\\.layers\\.69$", |
| "^model\\.layers\\.70$", |
| "^model\\.layers\\.71$", |
| "^model\\.layers\\.72$", |
| "^model\\.layers\\.73$", |
| "^model\\.layers\\.74$", |
| "^model\\.layers\\.75$", |
| "^model\\.layers\\.76$", |
| "^model\\.layers\\.77$", |
| "model.layers" |
| ], |
| "data_type": "int", |
| "extra_config": { |
| ".*eh_proj.*": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| ".*layers\\.0\\..*": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| ".*layers\\.1\\..*": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| ".*layers\\.2\\..*": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| ".*layers\\.[0-2]\\.mlp.*": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| ".*layers\\\\\\.[0-2]\\\\\\..*": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| ".*self_attn.*": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| ".*self_attn\\.indexer.*": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| ".*shared_experts.*": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| ".*weights_proj.*": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.0.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.0.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.0.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.0.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.0.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.0.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.0.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.0.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.1.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.1.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.1.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.1.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.1.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.1.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.1.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.1.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.10.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.10.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.10.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.10.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.10.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.10.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.10.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.10.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.10.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.10.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.10.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.11.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.11.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.11.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.11.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.11.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.11.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.11.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.11.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.11.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.11.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.11.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.12.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.12.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.12.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.12.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.12.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.12.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.12.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.12.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.12.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.12.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.12.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.13.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.13.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.13.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.13.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.13.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.13.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.13.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.13.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.13.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.13.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.13.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.14.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.14.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.14.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.14.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.14.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.14.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.14.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.14.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.14.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.14.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.14.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.15.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.15.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.15.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.15.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.15.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.15.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.15.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.15.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.15.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.15.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.15.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.16.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.16.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.16.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.16.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.16.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.16.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.16.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.16.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.16.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.16.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.16.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.17.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.17.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.17.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.17.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.17.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.17.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.17.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.17.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.17.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.17.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.17.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.18.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.18.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.18.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.18.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.18.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.18.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.18.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.18.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.18.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.18.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.18.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.19.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.19.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.19.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.19.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.19.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.19.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.19.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.19.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.19.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.19.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.19.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.2.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.2.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.2.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.2.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.2.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.2.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.2.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.2.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.20.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.20.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.20.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.20.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.20.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.20.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.20.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.20.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.20.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.20.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.20.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.21.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.21.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.21.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.21.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.21.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.21.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.21.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.21.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.21.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.21.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.21.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.22.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.22.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.22.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.22.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.22.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.22.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.22.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.22.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.22.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.22.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.22.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.23.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.23.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.23.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.23.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.23.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.23.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.23.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.23.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.23.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.23.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.23.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.24.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.24.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.24.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.24.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.24.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.24.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.24.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.24.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.24.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.24.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.24.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.25.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.25.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.25.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.25.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.25.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.25.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.25.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.25.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.25.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.25.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.25.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.26.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.26.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.26.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.26.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.26.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.26.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.26.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.26.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.26.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.26.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.26.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.27.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.27.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.27.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.27.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.27.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.27.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.27.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.27.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.27.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.27.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.27.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.28.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.28.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.28.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.28.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.28.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.28.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.28.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.28.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.28.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.28.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.28.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.29.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.29.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.29.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.29.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.29.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.29.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.29.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.29.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.29.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.29.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.29.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.3.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.3.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.3.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.3.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.3.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.3.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.3.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.3.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.3.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.3.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.3.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.30.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.30.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.30.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.30.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.30.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.30.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.30.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.30.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.30.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.30.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.30.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.31.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.31.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.31.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.31.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.31.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.31.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.31.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.31.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.31.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.31.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.31.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.32.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.32.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.32.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.32.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.32.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.32.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.32.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.32.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.32.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.32.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.32.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.33.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.33.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.33.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.33.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.33.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.33.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.33.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.33.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.33.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.33.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.33.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.34.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.34.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.34.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.34.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.34.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.34.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.34.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.34.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.34.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.34.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.34.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.35.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.35.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.35.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.35.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.35.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.35.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.35.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.35.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.35.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.35.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.35.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.36.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.36.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.36.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.36.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.36.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.36.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.36.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.36.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.36.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.36.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.36.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.37.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.37.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.37.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.37.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.37.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.37.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.37.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.37.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.37.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.37.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.37.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.38.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.38.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.38.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.38.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.38.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.38.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.38.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.38.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.38.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.38.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.38.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.39.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.39.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.39.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.39.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.39.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.39.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.39.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.39.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.39.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.39.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.39.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.4.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.4.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.4.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.4.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.4.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.4.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.4.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.4.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.4.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.4.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.4.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.40.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.40.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.40.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.40.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.40.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.40.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.40.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.40.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.40.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.40.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.40.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.41.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.41.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.41.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.41.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.41.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.41.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.41.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.41.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.41.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.41.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.41.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.42.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.42.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.42.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.42.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.42.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.42.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.42.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.42.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.42.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.42.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.42.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.43.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.43.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.43.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.43.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.43.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.43.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.43.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.43.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.43.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.43.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.43.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.44.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.44.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.44.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.44.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.44.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.44.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.44.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.44.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.44.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.44.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.44.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.45.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.45.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.45.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.45.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.45.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.45.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.45.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.45.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.45.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.45.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.45.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.46.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.46.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.46.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.46.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.46.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.46.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.46.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.46.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.46.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.46.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.46.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.47.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.47.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.47.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.47.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.47.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.47.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.47.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.47.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.47.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.47.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.47.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.48.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.48.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.48.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.48.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.48.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.48.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.48.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.48.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.48.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.48.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.48.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.49.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.49.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.49.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.49.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.49.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.49.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.49.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.49.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.49.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.49.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.49.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.5.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.5.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.5.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.5.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.5.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.5.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.5.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.5.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.5.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.5.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.5.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.50.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.50.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.50.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.50.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.50.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.50.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.50.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.50.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.50.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.50.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.50.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.51.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.51.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.51.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.51.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.51.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.51.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.51.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.51.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.51.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.51.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.51.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.52.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.52.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.52.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.52.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.52.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.52.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.52.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.52.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.52.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.52.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.52.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.53.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.53.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.53.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.53.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.53.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.53.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.53.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.53.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.53.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.53.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.53.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.54.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.54.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.54.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.54.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.54.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.54.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.54.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.54.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.54.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.54.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.54.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.55.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.55.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.55.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.55.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.55.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.55.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.55.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.55.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.55.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.55.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.55.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.56.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.56.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.56.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.56.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.56.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.56.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.56.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.56.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.56.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.56.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.56.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.57.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.57.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.57.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.57.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.57.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.57.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.57.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.57.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.57.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.57.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.57.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.58.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.58.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.58.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.58.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.58.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.58.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.58.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.58.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.58.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.58.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.58.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.59.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.59.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.59.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.59.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.59.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.59.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.59.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.59.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.59.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.59.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.59.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.6.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.6.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.6.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.6.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.6.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.6.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.6.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.6.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.6.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.6.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.6.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.60.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.60.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.60.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.60.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.60.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.60.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.60.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.60.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.60.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.60.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.60.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.61.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.61.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.61.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.61.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.61.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.61.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.61.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.61.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.61.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.61.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.61.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.62.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.62.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.62.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.62.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.62.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.62.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.62.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.62.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.62.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.62.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.62.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.63.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.63.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.63.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.63.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.63.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.63.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.63.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.63.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.63.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.63.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.63.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.64.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.64.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.64.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.64.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.64.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.64.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.64.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.64.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.64.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.64.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.64.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.65.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.65.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.65.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.65.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.65.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.65.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.65.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.65.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.65.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.65.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.65.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.66.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.66.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.66.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.66.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.66.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.66.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.66.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.66.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.66.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.66.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.66.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.67.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.67.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.67.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.67.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.67.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.67.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.67.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.67.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.67.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.67.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.67.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.68.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.68.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.68.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.68.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.68.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.68.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.68.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.68.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.68.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.68.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.68.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.69.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.69.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.69.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.69.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.69.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.69.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.69.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.69.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.69.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.69.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.69.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.7.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.7.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.7.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.7.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.7.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.7.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.7.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.7.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.7.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.7.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.7.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.70.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.70.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.70.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.70.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.70.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.70.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.70.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.70.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.70.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.70.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.70.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.71.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.71.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.71.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.71.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.71.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.71.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.71.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.71.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.71.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.71.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.71.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.72.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.72.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.72.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.72.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.72.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.72.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.72.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.72.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.72.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.72.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.72.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.73.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.73.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.73.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.73.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.73.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.73.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.73.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.73.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.73.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.73.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.73.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.74.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.74.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.74.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.74.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.74.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.74.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.74.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.74.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.74.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.74.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.74.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.75.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.75.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.75.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.75.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.75.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.75.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.75.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.75.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.75.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.75.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.75.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.76.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.76.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.76.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.76.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.76.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.76.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.76.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.76.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.76.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.76.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.76.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.77.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.77.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.77.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.77.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.77.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.77.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.77.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.77.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.77.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.77.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.77.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.8.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.8.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.8.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.8.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.8.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.8.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.8.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.8.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.8.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.8.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.8.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.9.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.9.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.9.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.9.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.9.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.9.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.9.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.9.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.9.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.9.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.9.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "float" |
| }, |
| "model.layers.78.eh_proj": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.mlp.gate": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.mlp.shared_experts.down_proj": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.mlp.shared_experts.gate_proj": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.mlp.shared_experts.up_proj": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.self_attn.indexer.weights_proj": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.self_attn.indexer.wk": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.self_attn.indexer.wq_b": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.self_attn.kv_a_proj_with_mqa": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.self_attn.kv_b_proj": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.self_attn.o_proj": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.self_attn.q_a_proj": { |
| "bits": 16, |
| "data_type": "fp" |
| }, |
| "model.layers.78.self_attn.q_b_proj": { |
| "bits": 16, |
| "data_type": "fp" |
| } |
| }, |
| "gradient_accumulate_steps": 4, |
| "group_size": 64, |
| "low_gpu_mem_usage": true, |
| "nsamples": 512, |
| "packing_format": "auto_round:auto_gptq", |
| "quant_method": "auto-round", |
| "sym": true |
| }, |
| "rms_norm_eps": 1e-05, |
| "rope_interleave": true, |
| "rope_parameters": { |
| "rope_theta": 8000000, |
| "rope_type": "default" |
| }, |
| "routed_scaling_factor": 2.5, |
| "scoring_func": "sigmoid", |
| "tie_word_embeddings": false, |
| "topk_group": 1, |
| "topk_method": "noaux_tc", |
| "transformers_version": "5.10.2", |
| "use_cache": true, |
| "v_head_dim": 256, |
| "vocab_size": 154880 |
| } |
|
|
