Initial commit
This commit is contained in:
782
trace_model_meta/ZhipuAI/GLM-5-FP8/config.json
Normal file
782
trace_model_meta/ZhipuAI/GLM-5-FP8/config.json
Normal file
@@ -0,0 +1,782 @@
|
||||
{
|
||||
"architectures": [
|
||||
"GlmMoeDsaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": [
|
||||
154820,
|
||||
154827,
|
||||
154829
|
||||
],
|
||||
"ep_size": 1,
|
||||
"first_k_dense_replace": 3,
|
||||
"hidden_act": "silu",
|
||||
"head_dim": 64,
|
||||
"hidden_size": 6144,
|
||||
"index_head_dim": 128,
|
||||
"index_n_heads": 32,
|
||||
"index_topk": 2048,
|
||||
"indexer_rope_interleave": true,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 12288,
|
||||
"kv_lora_rank": 512,
|
||||
"max_position_embeddings": 202752,
|
||||
"moe_intermediate_size": 2048,
|
||||
"moe_layer_freq": 1,
|
||||
"model_type": "glm_moe_dsa",
|
||||
"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,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_interleave": true,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"routed_scaling_factor": 2.5,
|
||||
"scoring_func": "sigmoid",
|
||||
"tie_word_embeddings": false,
|
||||
"topk_group": 1,
|
||||
"topk_method": "noaux_tc",
|
||||
"transformers_version": "5.0.2.dev0",
|
||||
"use_cache": true,
|
||||
"v_head_dim": 256,
|
||||
"vocab_size": 154880,
|
||||
"quantization_config": {
|
||||
"activation_scheme": "dynamic",
|
||||
"fmt": "e4m3",
|
||||
"quant_method": "fp8",
|
||||
"weight_block_size": [
|
||||
128,
|
||||
128
|
||||
],
|
||||
"modules_to_not_convert": [
|
||||
"lm_head",
|
||||
"model.embed_tokens",
|
||||
"model.layers.0.input_layernorm",
|
||||
"model.layers.0.post_attention_layernorm",
|
||||
"model.layers.0.self_attn.indexer.k_norm",
|
||||
"model.layers.0.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.0.self_attn.indexers_proj",
|
||||
"model.layers.0.self_attn.kv_a_layernorm",
|
||||
"model.layers.0.self_attn.q_a_layernorm",
|
||||
"model.layers.1.input_layernorm",
|
||||
"model.layers.1.post_attention_layernorm",
|
||||
"model.layers.1.self_attn.indexer.k_norm",
|
||||
"model.layers.1.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.1.self_attn.indexers_proj",
|
||||
"model.layers.1.self_attn.kv_a_layernorm",
|
||||
"model.layers.1.self_attn.q_a_layernorm",
|
||||
"model.layers.2.input_layernorm",
|
||||
"model.layers.2.post_attention_layernorm",
|
||||
"model.layers.2.self_attn.indexer.k_norm",
|
||||
"model.layers.2.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.2.self_attn.indexers_proj",
|
||||
"model.layers.2.self_attn.kv_a_layernorm",
|
||||
"model.layers.2.self_attn.q_a_layernorm",
|
||||
"model.layers.3.input_layernorm",
|
||||
"model.layers.3.mlp.gate",
|
||||
"model.layers.3.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.3.post_attention_layernorm",
|
||||
"model.layers.3.self_attn.indexer.k_norm",
|
||||
"model.layers.3.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.3.self_attn.indexers_proj",
|
||||
"model.layers.3.self_attn.kv_a_layernorm",
|
||||
"model.layers.3.self_attn.q_a_layernorm",
|
||||
"model.layers.4.input_layernorm",
|
||||
"model.layers.4.mlp.gate",
|
||||
"model.layers.4.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.4.post_attention_layernorm",
|
||||
"model.layers.4.self_attn.indexer.k_norm",
|
||||
"model.layers.4.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.4.self_attn.indexers_proj",
|
||||
"model.layers.4.self_attn.kv_a_layernorm",
|
||||
"model.layers.4.self_attn.q_a_layernorm",
|
||||
"model.layers.5.input_layernorm",
|
||||
"model.layers.5.mlp.gate",
|
||||
"model.layers.5.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.5.post_attention_layernorm",
|
||||
"model.layers.5.self_attn.indexer.k_norm",
|
||||
"model.layers.5.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.5.self_attn.indexers_proj",
|
||||
"model.layers.5.self_attn.kv_a_layernorm",
|
||||
"model.layers.5.self_attn.q_a_layernorm",
|
||||
"model.layers.6.input_layernorm",
|
||||
"model.layers.6.mlp.gate",
|
||||
"model.layers.6.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.6.post_attention_layernorm",
|
||||
"model.layers.6.self_attn.indexer.k_norm",
|
||||
"model.layers.6.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.6.self_attn.indexers_proj",
|
||||
"model.layers.6.self_attn.kv_a_layernorm",
|
||||
"model.layers.6.self_attn.q_a_layernorm",
|
||||
"model.layers.7.input_layernorm",
|
||||
"model.layers.7.mlp.gate",
|
||||
"model.layers.7.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.7.post_attention_layernorm",
|
||||
"model.layers.7.self_attn.indexer.k_norm",
|
||||
"model.layers.7.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.7.self_attn.indexers_proj",
|
||||
"model.layers.7.self_attn.kv_a_layernorm",
|
||||
"model.layers.7.self_attn.q_a_layernorm",
|
||||
"model.layers.8.input_layernorm",
|
||||
"model.layers.8.mlp.gate",
|
||||
"model.layers.8.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.8.post_attention_layernorm",
|
||||
"model.layers.8.self_attn.indexer.k_norm",
|
||||
"model.layers.8.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.8.self_attn.indexers_proj",
|
||||
"model.layers.8.self_attn.kv_a_layernorm",
|
||||
"model.layers.8.self_attn.q_a_layernorm",
|
||||
"model.layers.9.input_layernorm",
|
||||
"model.layers.9.mlp.gate",
|
||||
"model.layers.9.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.9.post_attention_layernorm",
|
||||
"model.layers.9.self_attn.indexer.k_norm",
|
||||
"model.layers.9.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.9.self_attn.indexers_proj",
|
||||
"model.layers.9.self_attn.kv_a_layernorm",
|
||||
"model.layers.9.self_attn.q_a_layernorm",
|
||||
"model.layers.10.input_layernorm",
|
||||
"model.layers.10.mlp.gate",
|
||||
"model.layers.10.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.10.post_attention_layernorm",
|
||||
"model.layers.10.self_attn.indexer.k_norm",
|
||||
"model.layers.10.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.10.self_attn.indexers_proj",
|
||||
"model.layers.10.self_attn.kv_a_layernorm",
|
||||
"model.layers.10.self_attn.q_a_layernorm",
|
||||
"model.layers.11.input_layernorm",
|
||||
"model.layers.11.mlp.gate",
|
||||
"model.layers.11.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.11.post_attention_layernorm",
|
||||
"model.layers.11.self_attn.indexer.k_norm",
|
||||
"model.layers.11.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.11.self_attn.indexers_proj",
|
||||
"model.layers.11.self_attn.kv_a_layernorm",
|
||||
"model.layers.11.self_attn.q_a_layernorm",
|
||||
"model.layers.12.input_layernorm",
|
||||
"model.layers.12.mlp.gate",
|
||||
"model.layers.12.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.12.post_attention_layernorm",
|
||||
"model.layers.12.self_attn.indexer.k_norm",
|
||||
"model.layers.12.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.12.self_attn.indexers_proj",
|
||||
"model.layers.12.self_attn.kv_a_layernorm",
|
||||
"model.layers.12.self_attn.q_a_layernorm",
|
||||
"model.layers.13.input_layernorm",
|
||||
"model.layers.13.mlp.gate",
|
||||
"model.layers.13.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.13.post_attention_layernorm",
|
||||
"model.layers.13.self_attn.indexer.k_norm",
|
||||
"model.layers.13.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.13.self_attn.indexers_proj",
|
||||
"model.layers.13.self_attn.kv_a_layernorm",
|
||||
"model.layers.13.self_attn.q_a_layernorm",
|
||||
"model.layers.14.input_layernorm",
|
||||
"model.layers.14.mlp.gate",
|
||||
"model.layers.14.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.14.post_attention_layernorm",
|
||||
"model.layers.14.self_attn.indexer.k_norm",
|
||||
"model.layers.14.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.14.self_attn.indexers_proj",
|
||||
"model.layers.14.self_attn.kv_a_layernorm",
|
||||
"model.layers.14.self_attn.q_a_layernorm",
|
||||
"model.layers.15.input_layernorm",
|
||||
"model.layers.15.mlp.gate",
|
||||
"model.layers.15.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.15.post_attention_layernorm",
|
||||
"model.layers.15.self_attn.indexer.k_norm",
|
||||
"model.layers.15.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.15.self_attn.indexers_proj",
|
||||
"model.layers.15.self_attn.kv_a_layernorm",
|
||||
"model.layers.15.self_attn.q_a_layernorm",
|
||||
"model.layers.16.input_layernorm",
|
||||
"model.layers.16.mlp.gate",
|
||||
"model.layers.16.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.16.post_attention_layernorm",
|
||||
"model.layers.16.self_attn.indexer.k_norm",
|
||||
"model.layers.16.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.16.self_attn.indexers_proj",
|
||||
"model.layers.16.self_attn.kv_a_layernorm",
|
||||
"model.layers.16.self_attn.q_a_layernorm",
|
||||
"model.layers.17.input_layernorm",
|
||||
"model.layers.17.mlp.gate",
|
||||
"model.layers.17.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.17.post_attention_layernorm",
|
||||
"model.layers.17.self_attn.indexer.k_norm",
|
||||
"model.layers.17.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.17.self_attn.indexers_proj",
|
||||
"model.layers.17.self_attn.kv_a_layernorm",
|
||||
"model.layers.17.self_attn.q_a_layernorm",
|
||||
"model.layers.18.input_layernorm",
|
||||
"model.layers.18.mlp.gate",
|
||||
"model.layers.18.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.18.post_attention_layernorm",
|
||||
"model.layers.18.self_attn.indexer.k_norm",
|
||||
"model.layers.18.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.18.self_attn.indexers_proj",
|
||||
"model.layers.18.self_attn.kv_a_layernorm",
|
||||
"model.layers.18.self_attn.q_a_layernorm",
|
||||
"model.layers.19.input_layernorm",
|
||||
"model.layers.19.mlp.gate",
|
||||
"model.layers.19.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.19.post_attention_layernorm",
|
||||
"model.layers.19.self_attn.indexer.k_norm",
|
||||
"model.layers.19.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.19.self_attn.indexers_proj",
|
||||
"model.layers.19.self_attn.kv_a_layernorm",
|
||||
"model.layers.19.self_attn.q_a_layernorm",
|
||||
"model.layers.20.input_layernorm",
|
||||
"model.layers.20.mlp.gate",
|
||||
"model.layers.20.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.20.post_attention_layernorm",
|
||||
"model.layers.20.self_attn.indexer.k_norm",
|
||||
"model.layers.20.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.20.self_attn.indexers_proj",
|
||||
"model.layers.20.self_attn.kv_a_layernorm",
|
||||
"model.layers.20.self_attn.q_a_layernorm",
|
||||
"model.layers.21.input_layernorm",
|
||||
"model.layers.21.mlp.gate",
|
||||
"model.layers.21.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.21.post_attention_layernorm",
|
||||
"model.layers.21.self_attn.indexer.k_norm",
|
||||
"model.layers.21.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.21.self_attn.indexers_proj",
|
||||
"model.layers.21.self_attn.kv_a_layernorm",
|
||||
"model.layers.21.self_attn.q_a_layernorm",
|
||||
"model.layers.22.input_layernorm",
|
||||
"model.layers.22.mlp.gate",
|
||||
"model.layers.22.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.22.post_attention_layernorm",
|
||||
"model.layers.22.self_attn.indexer.k_norm",
|
||||
"model.layers.22.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.22.self_attn.indexers_proj",
|
||||
"model.layers.22.self_attn.kv_a_layernorm",
|
||||
"model.layers.22.self_attn.q_a_layernorm",
|
||||
"model.layers.23.input_layernorm",
|
||||
"model.layers.23.mlp.gate",
|
||||
"model.layers.23.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.23.post_attention_layernorm",
|
||||
"model.layers.23.self_attn.indexer.k_norm",
|
||||
"model.layers.23.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.23.self_attn.indexers_proj",
|
||||
"model.layers.23.self_attn.kv_a_layernorm",
|
||||
"model.layers.23.self_attn.q_a_layernorm",
|
||||
"model.layers.24.input_layernorm",
|
||||
"model.layers.24.mlp.gate",
|
||||
"model.layers.24.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.24.post_attention_layernorm",
|
||||
"model.layers.24.self_attn.indexer.k_norm",
|
||||
"model.layers.24.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.24.self_attn.indexers_proj",
|
||||
"model.layers.24.self_attn.kv_a_layernorm",
|
||||
"model.layers.24.self_attn.q_a_layernorm",
|
||||
"model.layers.25.input_layernorm",
|
||||
"model.layers.25.mlp.gate",
|
||||
"model.layers.25.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.25.post_attention_layernorm",
|
||||
"model.layers.25.self_attn.indexer.k_norm",
|
||||
"model.layers.25.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.25.self_attn.indexers_proj",
|
||||
"model.layers.25.self_attn.kv_a_layernorm",
|
||||
"model.layers.25.self_attn.q_a_layernorm",
|
||||
"model.layers.26.input_layernorm",
|
||||
"model.layers.26.mlp.gate",
|
||||
"model.layers.26.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.26.post_attention_layernorm",
|
||||
"model.layers.26.self_attn.indexer.k_norm",
|
||||
"model.layers.26.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.26.self_attn.indexers_proj",
|
||||
"model.layers.26.self_attn.kv_a_layernorm",
|
||||
"model.layers.26.self_attn.q_a_layernorm",
|
||||
"model.layers.27.input_layernorm",
|
||||
"model.layers.27.mlp.gate",
|
||||
"model.layers.27.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.27.post_attention_layernorm",
|
||||
"model.layers.27.self_attn.indexer.k_norm",
|
||||
"model.layers.27.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.27.self_attn.indexers_proj",
|
||||
"model.layers.27.self_attn.kv_a_layernorm",
|
||||
"model.layers.27.self_attn.q_a_layernorm",
|
||||
"model.layers.28.input_layernorm",
|
||||
"model.layers.28.mlp.gate",
|
||||
"model.layers.28.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.28.post_attention_layernorm",
|
||||
"model.layers.28.self_attn.indexer.k_norm",
|
||||
"model.layers.28.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.28.self_attn.indexers_proj",
|
||||
"model.layers.28.self_attn.kv_a_layernorm",
|
||||
"model.layers.28.self_attn.q_a_layernorm",
|
||||
"model.layers.29.input_layernorm",
|
||||
"model.layers.29.mlp.gate",
|
||||
"model.layers.29.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.29.post_attention_layernorm",
|
||||
"model.layers.29.self_attn.indexer.k_norm",
|
||||
"model.layers.29.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.29.self_attn.indexers_proj",
|
||||
"model.layers.29.self_attn.kv_a_layernorm",
|
||||
"model.layers.29.self_attn.q_a_layernorm",
|
||||
"model.layers.30.input_layernorm",
|
||||
"model.layers.30.mlp.gate",
|
||||
"model.layers.30.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.30.post_attention_layernorm",
|
||||
"model.layers.30.self_attn.indexer.k_norm",
|
||||
"model.layers.30.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.30.self_attn.indexers_proj",
|
||||
"model.layers.30.self_attn.kv_a_layernorm",
|
||||
"model.layers.30.self_attn.q_a_layernorm",
|
||||
"model.layers.31.input_layernorm",
|
||||
"model.layers.31.mlp.gate",
|
||||
"model.layers.31.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.31.post_attention_layernorm",
|
||||
"model.layers.31.self_attn.indexer.k_norm",
|
||||
"model.layers.31.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.31.self_attn.indexers_proj",
|
||||
"model.layers.31.self_attn.kv_a_layernorm",
|
||||
"model.layers.31.self_attn.q_a_layernorm",
|
||||
"model.layers.32.input_layernorm",
|
||||
"model.layers.32.mlp.gate",
|
||||
"model.layers.32.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.32.post_attention_layernorm",
|
||||
"model.layers.32.self_attn.indexer.k_norm",
|
||||
"model.layers.32.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.32.self_attn.indexers_proj",
|
||||
"model.layers.32.self_attn.kv_a_layernorm",
|
||||
"model.layers.32.self_attn.q_a_layernorm",
|
||||
"model.layers.33.input_layernorm",
|
||||
"model.layers.33.mlp.gate",
|
||||
"model.layers.33.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.33.post_attention_layernorm",
|
||||
"model.layers.33.self_attn.indexer.k_norm",
|
||||
"model.layers.33.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.33.self_attn.indexers_proj",
|
||||
"model.layers.33.self_attn.kv_a_layernorm",
|
||||
"model.layers.33.self_attn.q_a_layernorm",
|
||||
"model.layers.34.input_layernorm",
|
||||
"model.layers.34.mlp.gate",
|
||||
"model.layers.34.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.34.post_attention_layernorm",
|
||||
"model.layers.34.self_attn.indexer.k_norm",
|
||||
"model.layers.34.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.34.self_attn.indexers_proj",
|
||||
"model.layers.34.self_attn.kv_a_layernorm",
|
||||
"model.layers.34.self_attn.q_a_layernorm",
|
||||
"model.layers.35.input_layernorm",
|
||||
"model.layers.35.mlp.gate",
|
||||
"model.layers.35.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.35.post_attention_layernorm",
|
||||
"model.layers.35.self_attn.indexer.k_norm",
|
||||
"model.layers.35.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.35.self_attn.indexers_proj",
|
||||
"model.layers.35.self_attn.kv_a_layernorm",
|
||||
"model.layers.35.self_attn.q_a_layernorm",
|
||||
"model.layers.36.input_layernorm",
|
||||
"model.layers.36.mlp.gate",
|
||||
"model.layers.36.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.36.post_attention_layernorm",
|
||||
"model.layers.36.self_attn.indexer.k_norm",
|
||||
"model.layers.36.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.36.self_attn.indexers_proj",
|
||||
"model.layers.36.self_attn.kv_a_layernorm",
|
||||
"model.layers.36.self_attn.q_a_layernorm",
|
||||
"model.layers.37.input_layernorm",
|
||||
"model.layers.37.mlp.gate",
|
||||
"model.layers.37.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.37.post_attention_layernorm",
|
||||
"model.layers.37.self_attn.indexer.k_norm",
|
||||
"model.layers.37.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.37.self_attn.indexers_proj",
|
||||
"model.layers.37.self_attn.kv_a_layernorm",
|
||||
"model.layers.37.self_attn.q_a_layernorm",
|
||||
"model.layers.38.input_layernorm",
|
||||
"model.layers.38.mlp.gate",
|
||||
"model.layers.38.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.38.post_attention_layernorm",
|
||||
"model.layers.38.self_attn.indexer.k_norm",
|
||||
"model.layers.38.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.38.self_attn.indexers_proj",
|
||||
"model.layers.38.self_attn.kv_a_layernorm",
|
||||
"model.layers.38.self_attn.q_a_layernorm",
|
||||
"model.layers.39.input_layernorm",
|
||||
"model.layers.39.mlp.gate",
|
||||
"model.layers.39.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.39.post_attention_layernorm",
|
||||
"model.layers.39.self_attn.indexer.k_norm",
|
||||
"model.layers.39.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.39.self_attn.indexers_proj",
|
||||
"model.layers.39.self_attn.kv_a_layernorm",
|
||||
"model.layers.39.self_attn.q_a_layernorm",
|
||||
"model.layers.40.input_layernorm",
|
||||
"model.layers.40.mlp.gate",
|
||||
"model.layers.40.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.40.post_attention_layernorm",
|
||||
"model.layers.40.self_attn.indexer.k_norm",
|
||||
"model.layers.40.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.40.self_attn.indexers_proj",
|
||||
"model.layers.40.self_attn.kv_a_layernorm",
|
||||
"model.layers.40.self_attn.q_a_layernorm",
|
||||
"model.layers.41.input_layernorm",
|
||||
"model.layers.41.mlp.gate",
|
||||
"model.layers.41.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.41.post_attention_layernorm",
|
||||
"model.layers.41.self_attn.indexer.k_norm",
|
||||
"model.layers.41.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.41.self_attn.indexers_proj",
|
||||
"model.layers.41.self_attn.kv_a_layernorm",
|
||||
"model.layers.41.self_attn.q_a_layernorm",
|
||||
"model.layers.42.input_layernorm",
|
||||
"model.layers.42.mlp.gate",
|
||||
"model.layers.42.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.42.post_attention_layernorm",
|
||||
"model.layers.42.self_attn.indexer.k_norm",
|
||||
"model.layers.42.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.42.self_attn.indexers_proj",
|
||||
"model.layers.42.self_attn.kv_a_layernorm",
|
||||
"model.layers.42.self_attn.q_a_layernorm",
|
||||
"model.layers.43.input_layernorm",
|
||||
"model.layers.43.mlp.gate",
|
||||
"model.layers.43.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.43.post_attention_layernorm",
|
||||
"model.layers.43.self_attn.indexer.k_norm",
|
||||
"model.layers.43.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.43.self_attn.indexers_proj",
|
||||
"model.layers.43.self_attn.kv_a_layernorm",
|
||||
"model.layers.43.self_attn.q_a_layernorm",
|
||||
"model.layers.44.input_layernorm",
|
||||
"model.layers.44.mlp.gate",
|
||||
"model.layers.44.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.44.post_attention_layernorm",
|
||||
"model.layers.44.self_attn.indexer.k_norm",
|
||||
"model.layers.44.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.44.self_attn.indexers_proj",
|
||||
"model.layers.44.self_attn.kv_a_layernorm",
|
||||
"model.layers.44.self_attn.q_a_layernorm",
|
||||
"model.layers.45.input_layernorm",
|
||||
"model.layers.45.mlp.gate",
|
||||
"model.layers.45.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.45.post_attention_layernorm",
|
||||
"model.layers.45.self_attn.indexer.k_norm",
|
||||
"model.layers.45.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.45.self_attn.indexers_proj",
|
||||
"model.layers.45.self_attn.kv_a_layernorm",
|
||||
"model.layers.45.self_attn.q_a_layernorm",
|
||||
"model.layers.46.input_layernorm",
|
||||
"model.layers.46.mlp.gate",
|
||||
"model.layers.46.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.46.post_attention_layernorm",
|
||||
"model.layers.46.self_attn.indexer.k_norm",
|
||||
"model.layers.46.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.46.self_attn.indexers_proj",
|
||||
"model.layers.46.self_attn.kv_a_layernorm",
|
||||
"model.layers.46.self_attn.q_a_layernorm",
|
||||
"model.layers.47.input_layernorm",
|
||||
"model.layers.47.mlp.gate",
|
||||
"model.layers.47.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.47.post_attention_layernorm",
|
||||
"model.layers.47.self_attn.indexer.k_norm",
|
||||
"model.layers.47.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.47.self_attn.indexers_proj",
|
||||
"model.layers.47.self_attn.kv_a_layernorm",
|
||||
"model.layers.47.self_attn.q_a_layernorm",
|
||||
"model.layers.48.input_layernorm",
|
||||
"model.layers.48.mlp.gate",
|
||||
"model.layers.48.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.48.post_attention_layernorm",
|
||||
"model.layers.48.self_attn.indexer.k_norm",
|
||||
"model.layers.48.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.48.self_attn.indexers_proj",
|
||||
"model.layers.48.self_attn.kv_a_layernorm",
|
||||
"model.layers.48.self_attn.q_a_layernorm",
|
||||
"model.layers.49.input_layernorm",
|
||||
"model.layers.49.mlp.gate",
|
||||
"model.layers.49.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.49.post_attention_layernorm",
|
||||
"model.layers.49.self_attn.indexer.k_norm",
|
||||
"model.layers.49.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.49.self_attn.indexers_proj",
|
||||
"model.layers.49.self_attn.kv_a_layernorm",
|
||||
"model.layers.49.self_attn.q_a_layernorm",
|
||||
"model.layers.50.input_layernorm",
|
||||
"model.layers.50.mlp.gate",
|
||||
"model.layers.50.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.50.post_attention_layernorm",
|
||||
"model.layers.50.self_attn.indexer.k_norm",
|
||||
"model.layers.50.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.50.self_attn.indexers_proj",
|
||||
"model.layers.50.self_attn.kv_a_layernorm",
|
||||
"model.layers.50.self_attn.q_a_layernorm",
|
||||
"model.layers.51.input_layernorm",
|
||||
"model.layers.51.mlp.gate",
|
||||
"model.layers.51.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.51.post_attention_layernorm",
|
||||
"model.layers.51.self_attn.indexer.k_norm",
|
||||
"model.layers.51.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.51.self_attn.indexers_proj",
|
||||
"model.layers.51.self_attn.kv_a_layernorm",
|
||||
"model.layers.51.self_attn.q_a_layernorm",
|
||||
"model.layers.52.input_layernorm",
|
||||
"model.layers.52.mlp.gate",
|
||||
"model.layers.52.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.52.post_attention_layernorm",
|
||||
"model.layers.52.self_attn.indexer.k_norm",
|
||||
"model.layers.52.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.52.self_attn.indexers_proj",
|
||||
"model.layers.52.self_attn.kv_a_layernorm",
|
||||
"model.layers.52.self_attn.q_a_layernorm",
|
||||
"model.layers.53.input_layernorm",
|
||||
"model.layers.53.mlp.gate",
|
||||
"model.layers.53.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.53.post_attention_layernorm",
|
||||
"model.layers.53.self_attn.indexer.k_norm",
|
||||
"model.layers.53.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.53.self_attn.indexers_proj",
|
||||
"model.layers.53.self_attn.kv_a_layernorm",
|
||||
"model.layers.53.self_attn.q_a_layernorm",
|
||||
"model.layers.54.input_layernorm",
|
||||
"model.layers.54.mlp.gate",
|
||||
"model.layers.54.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.54.post_attention_layernorm",
|
||||
"model.layers.54.self_attn.indexer.k_norm",
|
||||
"model.layers.54.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.54.self_attn.indexers_proj",
|
||||
"model.layers.54.self_attn.kv_a_layernorm",
|
||||
"model.layers.54.self_attn.q_a_layernorm",
|
||||
"model.layers.55.input_layernorm",
|
||||
"model.layers.55.mlp.gate",
|
||||
"model.layers.55.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.55.post_attention_layernorm",
|
||||
"model.layers.55.self_attn.indexer.k_norm",
|
||||
"model.layers.55.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.55.self_attn.indexers_proj",
|
||||
"model.layers.55.self_attn.kv_a_layernorm",
|
||||
"model.layers.55.self_attn.q_a_layernorm",
|
||||
"model.layers.56.input_layernorm",
|
||||
"model.layers.56.mlp.gate",
|
||||
"model.layers.56.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.56.post_attention_layernorm",
|
||||
"model.layers.56.self_attn.indexer.k_norm",
|
||||
"model.layers.56.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.56.self_attn.indexers_proj",
|
||||
"model.layers.56.self_attn.kv_a_layernorm",
|
||||
"model.layers.56.self_attn.q_a_layernorm",
|
||||
"model.layers.57.input_layernorm",
|
||||
"model.layers.57.mlp.gate",
|
||||
"model.layers.57.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.57.post_attention_layernorm",
|
||||
"model.layers.57.self_attn.indexer.k_norm",
|
||||
"model.layers.57.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.57.self_attn.indexers_proj",
|
||||
"model.layers.57.self_attn.kv_a_layernorm",
|
||||
"model.layers.57.self_attn.q_a_layernorm",
|
||||
"model.layers.58.input_layernorm",
|
||||
"model.layers.58.mlp.gate",
|
||||
"model.layers.58.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.58.post_attention_layernorm",
|
||||
"model.layers.58.self_attn.indexer.k_norm",
|
||||
"model.layers.58.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.58.self_attn.indexers_proj",
|
||||
"model.layers.58.self_attn.kv_a_layernorm",
|
||||
"model.layers.58.self_attn.q_a_layernorm",
|
||||
"model.layers.59.input_layernorm",
|
||||
"model.layers.59.mlp.gate",
|
||||
"model.layers.59.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.59.post_attention_layernorm",
|
||||
"model.layers.59.self_attn.indexer.k_norm",
|
||||
"model.layers.59.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.59.self_attn.indexers_proj",
|
||||
"model.layers.59.self_attn.kv_a_layernorm",
|
||||
"model.layers.59.self_attn.q_a_layernorm",
|
||||
"model.layers.60.input_layernorm",
|
||||
"model.layers.60.mlp.gate",
|
||||
"model.layers.60.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.60.post_attention_layernorm",
|
||||
"model.layers.60.self_attn.indexer.k_norm",
|
||||
"model.layers.60.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.60.self_attn.indexers_proj",
|
||||
"model.layers.60.self_attn.kv_a_layernorm",
|
||||
"model.layers.60.self_attn.q_a_layernorm",
|
||||
"model.layers.61.input_layernorm",
|
||||
"model.layers.61.mlp.gate",
|
||||
"model.layers.61.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.61.post_attention_layernorm",
|
||||
"model.layers.61.self_attn.indexer.k_norm",
|
||||
"model.layers.61.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.61.self_attn.indexers_proj",
|
||||
"model.layers.61.self_attn.kv_a_layernorm",
|
||||
"model.layers.61.self_attn.q_a_layernorm",
|
||||
"model.layers.62.input_layernorm",
|
||||
"model.layers.62.mlp.gate",
|
||||
"model.layers.62.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.62.post_attention_layernorm",
|
||||
"model.layers.62.self_attn.indexer.k_norm",
|
||||
"model.layers.62.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.62.self_attn.indexers_proj",
|
||||
"model.layers.62.self_attn.kv_a_layernorm",
|
||||
"model.layers.62.self_attn.q_a_layernorm",
|
||||
"model.layers.63.input_layernorm",
|
||||
"model.layers.63.mlp.gate",
|
||||
"model.layers.63.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.63.post_attention_layernorm",
|
||||
"model.layers.63.self_attn.indexer.k_norm",
|
||||
"model.layers.63.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.63.self_attn.indexers_proj",
|
||||
"model.layers.63.self_attn.kv_a_layernorm",
|
||||
"model.layers.63.self_attn.q_a_layernorm",
|
||||
"model.layers.64.input_layernorm",
|
||||
"model.layers.64.mlp.gate",
|
||||
"model.layers.64.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.64.post_attention_layernorm",
|
||||
"model.layers.64.self_attn.indexer.k_norm",
|
||||
"model.layers.64.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.64.self_attn.indexers_proj",
|
||||
"model.layers.64.self_attn.kv_a_layernorm",
|
||||
"model.layers.64.self_attn.q_a_layernorm",
|
||||
"model.layers.65.input_layernorm",
|
||||
"model.layers.65.mlp.gate",
|
||||
"model.layers.65.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.65.post_attention_layernorm",
|
||||
"model.layers.65.self_attn.indexer.k_norm",
|
||||
"model.layers.65.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.65.self_attn.indexers_proj",
|
||||
"model.layers.65.self_attn.kv_a_layernorm",
|
||||
"model.layers.65.self_attn.q_a_layernorm",
|
||||
"model.layers.66.input_layernorm",
|
||||
"model.layers.66.mlp.gate",
|
||||
"model.layers.66.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.66.post_attention_layernorm",
|
||||
"model.layers.66.self_attn.indexer.k_norm",
|
||||
"model.layers.66.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.66.self_attn.indexers_proj",
|
||||
"model.layers.66.self_attn.kv_a_layernorm",
|
||||
"model.layers.66.self_attn.q_a_layernorm",
|
||||
"model.layers.67.input_layernorm",
|
||||
"model.layers.67.mlp.gate",
|
||||
"model.layers.67.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.67.post_attention_layernorm",
|
||||
"model.layers.67.self_attn.indexer.k_norm",
|
||||
"model.layers.67.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.67.self_attn.indexers_proj",
|
||||
"model.layers.67.self_attn.kv_a_layernorm",
|
||||
"model.layers.67.self_attn.q_a_layernorm",
|
||||
"model.layers.68.input_layernorm",
|
||||
"model.layers.68.mlp.gate",
|
||||
"model.layers.68.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.68.post_attention_layernorm",
|
||||
"model.layers.68.self_attn.indexer.k_norm",
|
||||
"model.layers.68.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.68.self_attn.indexers_proj",
|
||||
"model.layers.68.self_attn.kv_a_layernorm",
|
||||
"model.layers.68.self_attn.q_a_layernorm",
|
||||
"model.layers.69.input_layernorm",
|
||||
"model.layers.69.mlp.gate",
|
||||
"model.layers.69.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.69.post_attention_layernorm",
|
||||
"model.layers.69.self_attn.indexer.k_norm",
|
||||
"model.layers.69.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.69.self_attn.indexers_proj",
|
||||
"model.layers.69.self_attn.kv_a_layernorm",
|
||||
"model.layers.69.self_attn.q_a_layernorm",
|
||||
"model.layers.70.input_layernorm",
|
||||
"model.layers.70.mlp.gate",
|
||||
"model.layers.70.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.70.post_attention_layernorm",
|
||||
"model.layers.70.self_attn.indexer.k_norm",
|
||||
"model.layers.70.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.70.self_attn.indexers_proj",
|
||||
"model.layers.70.self_attn.kv_a_layernorm",
|
||||
"model.layers.70.self_attn.q_a_layernorm",
|
||||
"model.layers.71.input_layernorm",
|
||||
"model.layers.71.mlp.gate",
|
||||
"model.layers.71.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.71.post_attention_layernorm",
|
||||
"model.layers.71.self_attn.indexer.k_norm",
|
||||
"model.layers.71.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.71.self_attn.indexers_proj",
|
||||
"model.layers.71.self_attn.kv_a_layernorm",
|
||||
"model.layers.71.self_attn.q_a_layernorm",
|
||||
"model.layers.72.input_layernorm",
|
||||
"model.layers.72.mlp.gate",
|
||||
"model.layers.72.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.72.post_attention_layernorm",
|
||||
"model.layers.72.self_attn.indexer.k_norm",
|
||||
"model.layers.72.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.72.self_attn.indexers_proj",
|
||||
"model.layers.72.self_attn.kv_a_layernorm",
|
||||
"model.layers.72.self_attn.q_a_layernorm",
|
||||
"model.layers.73.input_layernorm",
|
||||
"model.layers.73.mlp.gate",
|
||||
"model.layers.73.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.73.post_attention_layernorm",
|
||||
"model.layers.73.self_attn.indexer.k_norm",
|
||||
"model.layers.73.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.73.self_attn.indexers_proj",
|
||||
"model.layers.73.self_attn.kv_a_layernorm",
|
||||
"model.layers.73.self_attn.q_a_layernorm",
|
||||
"model.layers.74.input_layernorm",
|
||||
"model.layers.74.mlp.gate",
|
||||
"model.layers.74.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.74.post_attention_layernorm",
|
||||
"model.layers.74.self_attn.indexer.k_norm",
|
||||
"model.layers.74.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.74.self_attn.indexers_proj",
|
||||
"model.layers.74.self_attn.kv_a_layernorm",
|
||||
"model.layers.74.self_attn.q_a_layernorm",
|
||||
"model.layers.75.input_layernorm",
|
||||
"model.layers.75.mlp.gate",
|
||||
"model.layers.75.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.75.post_attention_layernorm",
|
||||
"model.layers.75.self_attn.indexer.k_norm",
|
||||
"model.layers.75.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.75.self_attn.indexers_proj",
|
||||
"model.layers.75.self_attn.kv_a_layernorm",
|
||||
"model.layers.75.self_attn.q_a_layernorm",
|
||||
"model.layers.76.input_layernorm",
|
||||
"model.layers.76.mlp.gate",
|
||||
"model.layers.76.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.76.post_attention_layernorm",
|
||||
"model.layers.76.self_attn.indexer.k_norm",
|
||||
"model.layers.76.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.76.self_attn.indexers_proj",
|
||||
"model.layers.76.self_attn.kv_a_layernorm",
|
||||
"model.layers.76.self_attn.q_a_layernorm",
|
||||
"model.layers.77.input_layernorm",
|
||||
"model.layers.77.mlp.gate",
|
||||
"model.layers.77.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.77.post_attention_layernorm",
|
||||
"model.layers.77.self_attn.indexer.k_norm",
|
||||
"model.layers.77.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.77.self_attn.indexers_proj",
|
||||
"model.layers.77.self_attn.kv_a_layernorm",
|
||||
"model.layers.77.self_attn.q_a_layernorm",
|
||||
"model.layers.78.eh_proj",
|
||||
"model.layers.78.enorm",
|
||||
"model.layers.78.hnorm",
|
||||
"model.layers.78.input_layernorm",
|
||||
"model.layers.78.mlp.gate",
|
||||
"model.layers.78.mlp.gate.e_score_correction_bias",
|
||||
"model.layers.78.post_attention_layernorm",
|
||||
"model.layers.78.self_attn.indexer.k_norm",
|
||||
"model.layers.78.self_attn.indexer.k_norm.bias",
|
||||
"model.layers.78.self_attn.indexers_proj",
|
||||
"model.layers.78.self_attn.kv_a_layernorm",
|
||||
"model.layers.78.self_attn.q_a_layernorm",
|
||||
"model.layers.78.shared_head.norm",
|
||||
"model.norm"
|
||||
]
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user