{"_id":"6a8d39822a943ad8a2f2ea50","id":"zai-org/GLM-5.3-Flash","private":false,"pipeline_tag":"image-text-to-text","library_name":"transformers","tags":["transformers","safetensors","glm5_next","image-text-to-text","conversational","en","zh","arxiv:2602.15763","license:mit","eval-results","endpoints_compatible","fp8","region:us"],"downloads":1023103,"likes":2228,"modelId":"zai-org/GLM-5.3-Flash","author":"zai-org","sha":"eb9eb208eb0d988989d07a6a12d0fdeb5f52574a","lastModified":"2026-09-07T12:13:47.000Z","gated":false,"disabled":false,"widgetData":[{"text":"Hi, what can you help me with?"},{"text":"What is 84 * 3 / 2?"},{"text":"Tell me an interesting fact about the universe!"},{"text":"Explain quantum computing in simple terms."}],"model-index":null,"config":{"architectures":["Glm5NextForConditionalGeneration"],"model_type":"glm5_next","quantization_config":{"modules_to_not_convert":["attn_mha","attn_mqa","dt_bias","hyper_connection","lm_head","mapping_proj","model.embed_tokens","model.layers.0.hc_attn_base","model.layers.0.hc_attn_fn","model.layers.0.hc_attn_scale","model.layers.0.hc_ffn_base","model.layers.0.hc_ffn_fn","model.layers.0.hc_ffn_scale","model.layers.0.input_layernorm","model.layers.0.post_attention_layernorm","model.layers.0.self_attn.A_log","model.layers.0.self_attn.b_proj","model.layers.0.self_attn.dt_bias","model.layers.0.self_attn.f_a_proj","model.layers.0.self_attn.f_b_proj","model.layers.0.self_attn.fused_qkvbfg_a_proj","model.layers.0.self_attn.g_a_proj","model.layers.0.self_attn.g_b_proj","model.layers.0.self_attn.k_conv1d","model.layers.0.self_attn.k_proj","model.layers.0.self_attn.o_norm","model.layers.0.self_attn.o_proj","model.layers.0.self_attn.q_conv1d","model.layers.0.self_attn.q_proj","model.layers.0.self_attn.qkv_proj","model.layers.0.self_attn.v_conv1d","model.layers.0.self_attn.v_proj","model.layers.1.hc_attn_base","model.layers.1.hc_attn_fn","model.layers.1.hc_attn_scale","model.layers.1.hc_ffn_base","model.layers.1.hc_ffn_fn","model.layers.1.hc_ffn_scale","model.layers.1.input_layernorm","model.layers.1.post_attention_layernorm","model.layers.1.self_attn.A_log","model.layers.1.self_attn.b_proj","model.layers.1.self_attn.dt_bias","model.layers.1.self_attn.f_a_proj","model.layers.1.self_attn.f_b_proj","model.layers.1.self_attn.fused_qkvbfg_a_proj","model.layers.1.self_attn.g_a_proj","model.layers.1.self_attn.g_b_proj","model.layers.1.self_attn.k_conv1d","model.layers.1.self_attn.k_proj","model.layers.1.self_attn.o_norm","model.layers.1.self_attn.o_proj","model.layers.1.self_attn.q_conv1d","model.layers.1.self_attn.q_proj","model.layers.1.self_attn.qkv_proj","model.layers.1.self_attn.v_conv1d","model.layers.1.self_attn.v_proj","model.layers.10.hc_attn_base","model.layers.10.hc_attn_fn","model.layers.10.hc_attn_scale","model.layers.10.hc_ffn_base","model.layers.10.hc_ffn_fn","model.layers.10.hc_ffn_scale","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.A_log","model.layers.10.self_attn.b_proj","model.layers.10.self_attn.dt_bias","model.layers.10.self_attn.f_a_proj","model.layers.10.self_attn.f_b_proj","model.layers.10.self_attn.fused_qkvbfg_a_proj","model.layers.10.self_attn.g_a_proj","model.layers.10.self_attn.g_b_proj","model.layers.10.self_attn.k_conv1d","model.layers.10.self_attn.k_proj","model.layers.10.self_attn.o_norm","model.layers.10.self_attn.o_proj","model.layers.10.self_attn.q_conv1d","model.layers.10.self_attn.q_proj","model.layers.10.self_attn.qkv_proj","model.layers.10.self_attn.v_conv1d","model.layers.10.self_attn.v_proj","model.layers.11.hc_attn_base","model.layers.11.hc_attn_fn","model.layers.11.hc_attn_scale","model.layers.11.hc_ffn_base","model.layers.11.hc_ffn_fn","model.layers.11.hc_ffn_scale","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.index_kpool_compress_ape","model.layers.11.self_attn.indexer.index_kpool_compress_gate","model.layers.11.self_attn.indexer.k_norm","model.layers.11.self_attn.indexer.k_norm.bias","model.layers.11.self_attn.indexer.weights_proj","model.layers.11.self_attn.indexer.wk","model.layers.11.self_attn.indexer.wq_b","model.layers.11.self_attn.kv_a_layernorm","model.layers.11.self_attn.kv_b_proj","model.layers.11.self_attn.q_a_layernorm","model.layers.12.hc_attn_base","model.layers.12.hc_attn_fn","model.layers.12.hc_attn_scale","model.layers.12.hc_ffn_base","model.layers.12.hc_ffn_fn","model.layers.12.hc_ffn_scale","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.A_log","model.layers.12.self_attn.b_proj","model.layers.12.self_attn.dt_bias","model.layers.12.self_attn.f_a_proj","model.layers.12.self_attn.f_b_proj","model.layers.12.self_attn.fused_qkvbfg_a_proj","model.layers.12.self_attn.g_a_proj","model.layers.12.self_attn.g_b_proj","model.layers.12.self_attn.k_conv1d","model.layers.12.self_attn.k_proj","model.layers.12.self_attn.o_norm","model.layers.12.self_attn.o_proj","model.layers.12.self_attn.q_conv1d","model.layers.12.self_attn.q_proj","model.layers.12.self_attn.qkv_proj","model.layers.12.self_attn.v_conv1d","model.layers.12.self_attn.v_proj","model.layers.13.hc_attn_base","model.layers.13.hc_attn_fn","model.layers.13.hc_attn_scale","model.layers.13.hc_ffn_base","model.layers.13.hc_ffn_fn","model.layers.13.hc_ffn_scale","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.A_log","model.layers.13.self_attn.b_proj","model.layers.13.self_attn.dt_bias","model.layers.13.self_attn.f_a_proj","model.layers.13.self_attn.f_b_proj","model.layers.13.self_attn.fused_qkvbfg_a_proj","model.layers.13.self_attn.g_a_proj","model.layers.13.self_attn.g_b_proj","model.layers.13.self_attn.k_conv1d","model.layers.13.self_attn.k_proj","model.layers.13.self_attn.o_norm","model.layers.13.self_attn.o_proj","model.layers.13.self_attn.q_conv1d","model.layers.13.self_attn.q_proj","model.layers.13.self_attn.qkv_proj","model.layers.13.self_attn.v_conv1d","model.layers.13.self_attn.v_proj","model.layers.14.hc_attn_base","model.layers.14.hc_attn_fn","model.layers.14.hc_attn_scale","model.layers.14.hc_ffn_base","model.layers.14.hc_ffn_fn","model.layers.14.hc_ffn_scale","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.A_log","model.layers.14.self_attn.b_proj","model.layers.14.self_attn.dt_bias","model.layers.14.self_attn.f_a_proj","model.layers.14.self_attn.f_b_proj","model.layers.14.self_attn.fused_qkvbfg_a_proj","model.layers.14.self_attn.g_a_proj","model.layers.14.self_attn.g_b_proj","model.layers.14.self_attn.k_conv1d","model.layers.14.self_attn.k_proj","model.layers.14.self_attn.o_norm","model.layers.14.self_attn.o_proj","model.layers.14.self_attn.q_conv1d","model.layers.14.self_attn.q_proj","model.layers.14.self_attn.qkv_proj","model.layers.14.self_attn.v_conv1d","model.layers.14.self_attn.v_proj","model.layers.15.hc_attn_base","model.layers.15.hc_attn_fn","model.layers.15.hc_attn_scale","model.layers.15.hc_ffn_base","model.layers.15.hc_ffn_fn","model.layers.15.hc_ffn_scale","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.index_kpool_compress_ape","model.layers.15.self_attn.indexer.index_kpool_compress_gate","model.layers.15.self_attn.indexer.k_norm","model.layers.15.self_attn.indexer.k_norm.bias","model.layers.15.self_attn.indexer.weights_proj","model.layers.15.self_attn.indexer.wk","model.layers.15.self_attn.indexer.wq_b","model.layers.15.self_attn.kv_a_layernorm","model.layers.15.self_attn.kv_b_proj","model.layers.15.self_attn.q_a_layernorm","model.layers.16.hc_attn_base","model.layers.16.hc_attn_fn","model.layers.16.hc_attn_scale","model.layers.16.hc_ffn_base","model.layers.16.hc_ffn_fn","model.layers.16.hc_ffn_scale","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.A_log","model.layers.16.self_attn.b_proj","model.layers.16.self_attn.dt_bias","model.layers.16.self_attn.f_a_proj","model.layers.16.self_attn.f_b_proj","model.layers.16.self_attn.fused_qkvbfg_a_proj","model.layers.16.self_attn.g_a_proj","model.layers.16.self_attn.g_b_proj","model.layers.16.self_attn.k_conv1d","model.layers.16.self_attn.k_proj","model.layers.16.self_attn.o_norm","model.layers.16.self_attn.o_proj","model.layers.16.self_attn.q_conv1d","model.layers.16.self_attn.q_proj","model.layers.16.self_attn.qkv_proj","model.layers.16.self_attn.v_conv1d","model.layers.16.self_attn.v_proj","model.layers.17.hc_attn_base","model.layers.17.hc_attn_fn","model.layers.17.hc_attn_scale","model.layers.17.hc_ffn_base","model.layers.17.hc_ffn_fn","model.layers.17.hc_ffn_scale","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.A_log","model.layers.17.self_attn.b_proj","model.layers.17.self_attn.dt_bias","model.layers.17.self_attn.f_a_proj","model.layers.17.self_attn.f_b_proj","model.layers.17.self_attn.fused_qkvbfg_a_proj","model.layers.17.self_attn.g_a_proj","model.layers.17.self_attn.g_b_proj","model.layers.17.self_attn.k_conv1d","model.layers.17.self_attn.k_proj","model.layers.17.self_attn.o_norm","model.layers.17.self_attn.o_proj","model.layers.17.self_attn.q_conv1d","model.layers.17.self_attn.q_proj","model.layers.17.self_attn.qkv_proj","model.layers.17.self_attn.v_conv1d","model.layers.17.self_attn.v_proj","model.layers.18.hc_attn_base","model.layers.18.hc_attn_fn","model.layers.18.hc_attn_scale","model.layers.18.hc_ffn_base","model.layers.18.hc_ffn_fn","model.layers.18.hc_ffn_scale","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.A_log","model.layers.18.self_attn.b_proj","model.layers.18.self_attn.dt_bias","model.layers.18.self_attn.f_a_proj","model.layers.18.self_attn.f_b_proj","model.layers.18.self_attn.fused_qkvbfg_a_proj","model.layers.18.self_attn.g_a_proj","model.layers.18.self_attn.g_b_proj","model.layers.18.self_attn.k_conv1d","model.layers.18.self_attn.k_proj","model.layers.18.self_attn.o_norm","model.layers.18.self_attn.o_proj","model.layers.18.self_attn.q_conv1d","model.layers.18.self_attn.q_proj","model.layers.18.self_attn.qkv_proj","model.layers.18.self_attn.v_conv1d","model.layers.18.self_attn.v_proj","model.layers.19.hc_attn_base","model.layers.19.hc_attn_fn","model.layers.19.hc_attn_scale","model.layers.19.hc_ffn_base","model.layers.19.hc_ffn_fn","model.layers.19.hc_ffn_scale","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.index_kpool_compress_ape","model.layers.19.self_attn.indexer.index_kpool_compress_gate","model.layers.19.self_attn.indexer.k_norm","model.layers.19.self_attn.indexer.k_norm.bias","model.layers.19.self_attn.indexer.weights_proj","model.layers.19.self_attn.indexer.wk","model.layers.19.self_attn.indexer.wq_b","model.layers.19.self_attn.kv_a_layernorm","model.layers.19.self_attn.kv_b_proj","model.layers.19.self_attn.q_a_layernorm","model.layers.2.hc_attn_base","model.layers.2.hc_attn_fn","model.layers.2.hc_attn_scale","model.layers.2.hc_ffn_base","model.layers.2.hc_ffn_fn","model.layers.2.hc_ffn_scale","model.layers.2.input_layernorm","model.layers.2.post_attention_layernorm","model.layers.2.self_attn.A_log","model.layers.2.self_attn.b_proj","model.layers.2.self_attn.dt_bias","model.layers.2.self_attn.f_a_proj","model.layers.2.self_attn.f_b_proj","model.layers.2.self_attn.fused_qkvbfg_a_proj","model.layers.2.self_attn.g_a_proj","model.layers.2.self_attn.g_b_proj","model.layers.2.self_attn.k_conv1d","model.layers.2.self_attn.k_proj","model.layers.2.self_attn.o_norm","model.layers.2.self_attn.o_proj","model.layers.2.self_attn.q_conv1d","model.layers.2.self_attn.q_proj","model.layers.2.self_attn.qkv_proj","model.layers.2.self_attn.v_conv1d","model.layers.2.self_attn.v_proj","model.layers.20.hc_attn_base","model.layers.20.hc_attn_fn","model.layers.20.hc_attn_scale","model.layers.20.hc_ffn_base","model.layers.20.hc_ffn_fn","model.layers.20.hc_ffn_scale","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.A_log","model.layers.20.self_attn.b_proj","model.layers.20.self_attn.dt_bias","model.layers.20.self_attn.f_a_proj","model.layers.20.self_attn.f_b_proj","model.layers.20.self_attn.fused_qkvbfg_a_proj","model.layers.20.self_attn.g_a_proj","model.layers.20.self_attn.g_b_proj","model.layers.20.self_attn.k_conv1d","model.layers.20.self_attn.k_proj","model.layers.20.self_attn.o_norm","model.layers.20.self_attn.o_proj","model.layers.20.self_attn.q_conv1d","model.layers.20.self_attn.q_proj","model.layers.20.self_attn.qkv_proj","model.layers.20.self_attn.v_conv1d","model.layers.20.self_attn.v_proj","model.layers.21.hc_attn_base","model.layers.21.hc_attn_fn","model.layers.21.hc_attn_scale","model.layers.21.hc_ffn_base","model.layers.21.hc_ffn_fn","model.layers.21.hc_ffn_scale","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.A_log","model.layers.21.self_attn.b_proj","model.layers.21.self_attn.dt_bias","model.layers.21.self_attn.f_a_proj","model.layers.21.self_attn.f_b_proj","model.layers.21.self_attn.fused_qkvbfg_a_proj","model.layers.21.self_attn.g_a_proj","model.layers.21.self_attn.g_b_proj","model.layers.21.self_attn.k_conv1d","model.layers.21.self_attn.k_proj","model.layers.21.self_attn.o_norm","model.layers.21.self_attn.o_proj","model.layers.21.self_attn.q_conv1d","model.layers.21.self_attn.q_proj","model.layers.21.self_attn.qkv_proj","model.layers.21.self_attn.v_conv1d","model.layers.21.self_attn.v_proj","model.layers.22.hc_attn_base","model.layers.22.hc_attn_fn","model.layers.22.hc_attn_scale","model.layers.22.hc_ffn_base","model.layers.22.hc_ffn_fn","model.layers.22.hc_ffn_scale","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.A_log","model.layers.22.self_attn.b_proj","model.layers.22.self_attn.dt_bias","model.layers.22.self_attn.f_a_proj","model.layers.22.self_attn.f_b_proj","model.layers.22.self_attn.fused_qkvbfg_a_proj","model.layers.22.self_attn.g_a_proj","model.layers.22.self_attn.g_b_proj","model.layers.22.self_attn.k_conv1d","model.layers.22.self_attn.k_proj","model.layers.22.self_attn.o_norm","model.layers.22.self_attn.o_proj","model.layers.22.self_attn.q_conv1d","model.layers.22.self_attn.q_proj","model.layers.22.self_attn.qkv_proj","model.layers.22.self_attn.v_conv1d","model.layers.22.self_attn.v_proj","model.layers.23.hc_attn_base","model.layers.23.hc_attn_fn","model.layers.23.hc_attn_scale","model.layers.23.hc_ffn_base","model.layers.23.hc_ffn_fn","model.layers.23.hc_ffn_scale","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.index_kpool_compress_ape","model.layers.23.self_attn.indexer.index_kpool_compress_gate","model.layers.23.self_attn.indexer.k_norm","model.layers.23.self_attn.indexer.k_norm.bias","model.layers.23.self_attn.indexer.weights_proj","model.layers.23.self_attn.indexer.wk","model.layers.23.self_attn.indexer.wq_b","model.layers.23.self_attn.kv_a_layernorm","model.layers.23.self_attn.kv_b_proj","model.layers.23.self_attn.q_a_layernorm","model.layers.24.hc_attn_base","model.layers.24.hc_attn_fn","model.layers.24.hc_attn_scale","model.layers.24.hc_ffn_base","model.layers.24.hc_ffn_fn","model.layers.24.hc_ffn_scale","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.A_log","model.layers.24.self_attn.b_proj","model.layers.24.self_attn.dt_bias","model.layers.24.self_attn.f_a_proj","model.layers.24.self_attn.f_b_proj","model.layers.24.self_attn.fused_qkvbfg_a_proj","model.layers.24.self_attn.g_a_proj","model.layers.24.self_attn.g_b_proj","model.layers.24.self_attn.k_conv1d","model.layers.24.self_attn.k_proj","model.layers.24.self_attn.o_norm","model.layers.24.self_attn.o_proj","model.layers.24.self_attn.q_conv1d","model.layers.24.self_attn.q_proj","model.layers.24.self_attn.qkv_proj","model.layers.24.self_attn.v_conv1d","model.layers.24.self_attn.v_proj","model.layers.25.hc_attn_base","model.layers.25.hc_attn_fn","model.layers.25.hc_attn_scale","model.layers.25.hc_ffn_base","model.layers.25.hc_ffn_fn","model.layers.25.hc_ffn_scale","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.A_log","model.layers.25.self_attn.b_proj","model.layers.25.self_attn.dt_bias","model.layers.25.self_attn.f_a_proj","model.layers.25.self_attn.f_b_proj","model.layers.25.self_attn.fused_qkvbfg_a_proj","model.layers.25.self_attn.g_a_proj","model.layers.25.self_attn.g_b_proj","model.layers.25.self_attn.k_conv1d","model.layers.25.self_attn.k_proj","model.layers.25.self_attn.o_norm","model.layers.25.self_attn.o_proj","model.layers.25.self_attn.q_conv1d","model.layers.25.self_attn.q_proj","model.layers.25.self_attn.qkv_proj","model.layers.25.self_attn.v_conv1d","model.layers.25.self_attn.v_proj","model.layers.26.hc_attn_base","model.layers.26.hc_attn_fn","model.layers.26.hc_attn_scale","model.layers.26.hc_ffn_base","model.layers.26.hc_ffn_fn","model.layers.26.hc_ffn_scale","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.A_log","model.layers.26.self_attn.b_proj","model.layers.26.self_attn.dt_bias","model.layers.26.self_attn.f_a_proj","model.layers.26.self_attn.f_b_proj","model.layers.26.self_attn.fused_qkvbfg_a_proj","model.layers.26.self_attn.g_a_proj","model.layers.26.self_attn.g_b_proj","model.layers.26.self_attn.k_conv1d","model.layers.26.self_attn.k_proj","model.layers.26.self_attn.o_norm","model.layers.26.self_attn.o_proj","model.layers.26.self_attn.q_conv1d","model.layers.26.self_attn.q_proj","model.layers.26.self_attn.qkv_proj","model.layers.26.self_attn.v_conv1d","model.layers.26.self_attn.v_proj","model.layers.27.hc_attn_base","model.layers.27.hc_attn_fn","model.layers.27.hc_attn_scale","model.layers.27.hc_ffn_base","model.layers.27.hc_ffn_fn","model.layers.27.hc_ffn_scale","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.index_kpool_compress_ape","model.layers.27.self_attn.indexer.index_kpool_compress_gate","model.layers.27.self_attn.indexer.k_norm","model.layers.27.self_attn.indexer.k_norm.bias","model.layers.27.self_attn.indexer.weights_proj","model.layers.27.self_attn.indexer.wk","model.layers.27.self_attn.indexer.wq_b","model.layers.27.self_attn.kv_a_layernorm","model.layers.27.self_attn.kv_b_proj","model.layers.27.self_attn.q_a_layernorm","model.layers.28.hc_attn_base","model.layers.28.hc_attn_fn","model.layers.28.hc_attn_scale","model.layers.28.hc_ffn_base","model.layers.28.hc_ffn_fn","model.layers.28.hc_ffn_scale","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.A_log","model.layers.28.self_attn.b_proj","model.layers.28.self_attn.dt_bias","model.layers.28.self_attn.f_a_proj","model.layers.28.self_attn.f_b_proj","model.layers.28.self_attn.fused_qkvbfg_a_proj","model.layers.28.self_attn.g_a_proj","model.layers.28.self_attn.g_b_proj","model.layers.28.self_attn.k_conv1d","model.layers.28.self_attn.k_proj","model.layers.28.self_attn.o_norm","model.layers.28.self_attn.o_proj","model.layers.28.self_attn.q_conv1d","model.layers.28.self_attn.q_proj","model.layers.28.self_attn.qkv_proj","model.layers.28.self_attn.v_conv1d","model.layers.28.self_attn.v_proj","model.layers.29.hc_attn_base","model.layers.29.hc_attn_fn","model.layers.29.hc_attn_scale","model.layers.29.hc_ffn_base","model.layers.29.hc_ffn_fn","model.layers.29.hc_ffn_scale","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.A_log","model.layers.29.self_attn.b_proj","model.layers.29.self_attn.dt_bias","model.layers.29.self_attn.f_a_proj","model.layers.29.self_attn.f_b_proj","model.layers.29.self_attn.fused_qkvbfg_a_proj","model.layers.29.self_attn.g_a_proj","model.layers.29.self_attn.g_b_proj","model.layers.29.self_attn.k_conv1d","model.layers.29.self_attn.k_proj","model.layers.29.self_attn.o_norm","model.layers.29.self_attn.o_proj","model.layers.29.self_attn.q_conv1d","model.layers.29.self_attn.q_proj","model.layers.29.self_attn.qkv_proj","model.layers.29.self_attn.v_conv1d","model.layers.29.self_attn.v_proj","model.layers.3.hc_attn_base","model.layers.3.hc_attn_fn","model.layers.3.hc_attn_scale","model.layers.3.hc_ffn_base","model.layers.3.hc_ffn_fn","model.layers.3.hc_ffn_scale","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.index_kpool_compress_ape","model.layers.3.self_attn.indexer.index_kpool_compress_gate","model.layers.3.self_attn.indexer.k_norm","model.layers.3.self_attn.indexer.k_norm.bias","model.layers.3.self_attn.indexer.weights_proj","model.layers.3.self_attn.indexer.wk","model.layers.3.self_attn.indexer.wq_b","model.layers.3.self_attn.kv_a_layernorm","model.layers.3.self_attn.kv_b_proj","model.layers.3.self_attn.q_a_layernorm","model.layers.30.hc_attn_base","model.layers.30.hc_attn_fn","model.layers.30.hc_attn_scale","model.layers.30.hc_ffn_base","model.layers.30.hc_ffn_fn","model.layers.30.hc_ffn_scale","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.A_log","model.layers.30.self_attn.b_proj","model.layers.30.self_attn.dt_bias","model.layers.30.self_attn.f_a_proj","model.layers.30.self_attn.f_b_proj","model.layers.30.self_attn.fused_qkvbfg_a_proj","model.layers.30.self_attn.g_a_proj","model.layers.30.self_attn.g_b_proj","model.layers.30.self_attn.k_conv1d","model.layers.30.self_attn.k_proj","model.layers.30.self_attn.o_norm","model.layers.30.self_attn.o_proj","model.layers.30.self_attn.q_conv1d","model.layers.30.self_attn.q_proj","model.layers.30.self_attn.qkv_proj","model.layers.30.self_attn.v_conv1d","model.layers.30.self_attn.v_proj","model.layers.31.hc_attn_base","model.layers.31.hc_attn_fn","model.layers.31.hc_attn_scale","model.layers.31.hc_ffn_base","model.layers.31.hc_ffn_fn","model.layers.31.hc_ffn_scale","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.index_kpool_compress_ape","model.layers.31.self_attn.indexer.index_kpool_compress_gate","model.layers.31.self_attn.indexer.k_norm","model.layers.31.self_attn.indexer.k_norm.bias","model.layers.31.self_attn.indexer.weights_proj","model.layers.31.self_attn.indexer.wk","model.layers.31.self_attn.indexer.wq_b","model.layers.31.self_attn.kv_a_layernorm","model.layers.31.self_attn.kv_b_proj","model.layers.31.self_attn.q_a_layernorm","model.layers.32.hc_attn_base","model.layers.32.hc_attn_fn","model.layers.32.hc_attn_scale","model.layers.32.hc_ffn_base","model.layers.32.hc_ffn_fn","model.layers.32.hc_ffn_scale","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.A_log","model.layers.32.self_attn.b_proj","model.layers.32.self_attn.dt_bias","model.layers.32.self_attn.f_a_proj","model.layers.32.self_attn.f_b_proj","model.layers.32.self_attn.fused_qkvbfg_a_proj","model.layers.32.self_attn.g_a_proj","model.layers.32.self_attn.g_b_proj","model.layers.32.self_attn.k_conv1d","model.layers.32.self_attn.k_proj","model.layers.32.self_attn.o_norm","model.layers.32.self_attn.o_proj","model.layers.32.self_attn.q_conv1d","model.layers.32.self_attn.q_proj","model.layers.32.self_attn.qkv_proj","model.layers.32.self_attn.v_conv1d","model.layers.32.self_attn.v_proj","model.layers.33.hc_attn_base","model.layers.33.hc_attn_fn","model.layers.33.hc_attn_scale","model.layers.33.hc_ffn_base","model.layers.33.hc_ffn_fn","model.layers.33.hc_ffn_scale","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.A_log","model.layers.33.self_attn.b_proj","model.layers.33.self_attn.dt_bias","model.layers.33.self_attn.f_a_proj","model.layers.33.self_attn.f_b_proj","model.layers.33.self_attn.fused_qkvbfg_a_proj","model.layers.33.self_attn.g_a_proj","model.layers.33.self_attn.g_b_proj","model.layers.33.self_attn.k_conv1d","model.layers.33.self_attn.k_proj","model.layers.33.self_attn.o_norm","model.layers.33.self_attn.o_proj","model.layers.33.self_attn.q_conv1d","model.layers.33.self_attn.q_proj","model.layers.33.self_attn.qkv_proj","model.layers.33.self_attn.v_conv1d","model.layers.33.self_attn.v_proj","model.layers.34.hc_attn_base","model.layers.34.hc_attn_fn","model.layers.34.hc_attn_scale","model.layers.34.hc_ffn_base","model.layers.34.hc_ffn_fn","model.layers.34.hc_ffn_scale","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.A_log","model.layers.34.self_attn.b_proj","model.layers.34.self_attn.dt_bias","model.layers.34.self_attn.f_a_proj","model.layers.34.self_attn.f_b_proj","model.layers.34.self_attn.fused_qkvbfg_a_proj","model.layers.34.self_attn.g_a_proj","model.layers.34.self_attn.g_b_proj","model.layers.34.self_attn.k_conv1d","model.layers.34.self_attn.k_proj","model.layers.34.self_attn.o_norm","model.layers.34.self_attn.o_proj","model.layers.34.self_attn.q_conv1d","model.layers.34.self_attn.q_proj","model.layers.34.self_attn.qkv_proj","model.layers.34.self_attn.v_conv1d","model.layers.34.self_attn.v_proj","model.layers.35.hc_attn_base","model.layers.35.hc_attn_fn","model.layers.35.hc_attn_scale","model.layers.35.hc_ffn_base","model.layers.35.hc_ffn_fn","model.layers.35.hc_ffn_scale","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.index_kpool_compress_ape","model.layers.35.self_attn.indexer.index_kpool_compress_gate","model.layers.35.self_attn.indexer.k_norm","model.layers.35.self_attn.indexer.k_norm.bias","model.layers.35.self_attn.indexer.weights_proj","model.layers.35.self_attn.indexer.wk","model.layers.35.self_attn.indexer.wq_b","model.layers.35.self_attn.kv_a_layernorm","model.layers.35.self_attn.kv_b_proj","model.layers.35.self_attn.q_a_layernorm","model.layers.36.hc_attn_base","model.layers.36.hc_attn_fn","model.layers.36.hc_attn_scale","model.layers.36.hc_ffn_base","model.layers.36.hc_ffn_fn","model.layers.36.hc_ffn_scale","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.A_log","model.layers.36.self_attn.b_proj","model.layers.36.self_attn.dt_bias","model.layers.36.self_attn.f_a_proj","model.layers.36.self_attn.f_b_proj","model.layers.36.self_attn.fused_qkvbfg_a_proj","model.layers.36.self_attn.g_a_proj","model.layers.36.self_attn.g_b_proj","model.layers.36.self_attn.k_conv1d","model.layers.36.self_attn.k_proj","model.layers.36.self_attn.o_norm","model.layers.36.self_attn.o_proj","model.layers.36.self_attn.q_conv1d","model.layers.36.self_attn.q_proj","model.layers.36.self_attn.qkv_proj","model.layers.36.self_attn.v_conv1d","model.layers.36.self_attn.v_proj","model.layers.37.hc_attn_base","model.layers.37.hc_attn_fn","model.layers.37.hc_attn_scale","model.layers.37.hc_ffn_base","model.layers.37.hc_ffn_fn","model.layers.37.hc_ffn_scale","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.A_log","model.layers.37.self_attn.b_proj","model.layers.37.self_attn.dt_bias","model.layers.37.self_attn.f_a_proj","model.layers.37.self_attn.f_b_proj","model.layers.37.self_attn.fused_qkvbfg_a_proj","model.layers.37.self_attn.g_a_proj","model.layers.37.self_attn.g_b_proj","model.layers.37.self_attn.k_conv1d","model.layers.37.self_attn.k_proj","model.layers.37.self_attn.o_norm","model.layers.37.self_attn.o_proj","model.layers.37.self_attn.q_conv1d","model.layers.37.self_attn.q_proj","model.layers.37.self_attn.qkv_proj","model.layers.37.self_attn.v_conv1d","model.layers.37.self_attn.v_proj","model.layers.38.hc_attn_base","model.layers.38.hc_attn_fn","model.layers.38.hc_attn_scale","model.layers.38.hc_ffn_base","model.layers.38.hc_ffn_fn","model.layers.38.hc_ffn_scale","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.A_log","model.layers.38.self_attn.b_proj","model.layers.38.self_attn.dt_bias","model.layers.38.self_attn.f_a_proj","model.layers.38.self_attn.f_b_proj","model.layers.38.self_attn.fused_qkvbfg_a_proj","model.layers.38.self_attn.g_a_proj","model.layers.38.self_attn.g_b_proj","model.layers.38.self_attn.k_conv1d","model.layers.38.self_attn.k_proj","model.layers.38.self_attn.o_norm","model.layers.38.self_attn.o_proj","model.layers.38.self_attn.q_conv1d","model.layers.38.self_attn.q_proj","model.layers.38.self_attn.qkv_proj","model.layers.38.self_attn.v_conv1d","model.layers.38.self_attn.v_proj","model.layers.39.hc_attn_base","model.layers.39.hc_attn_fn","model.layers.39.hc_attn_scale","model.layers.39.hc_ffn_base","model.layers.39.hc_ffn_fn","model.layers.39.hc_ffn_scale","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.index_kpool_compress_ape","model.layers.39.self_attn.indexer.index_kpool_compress_gate","model.layers.39.self_attn.indexer.k_norm","model.layers.39.self_attn.indexer.k_norm.bias","model.layers.39.self_attn.indexer.weights_proj","model.layers.39.self_attn.indexer.wk","model.layers.39.self_attn.indexer.wq_b","model.layers.39.self_attn.kv_a_layernorm","model.layers.39.self_attn.kv_b_proj","model.layers.39.self_attn.q_a_layernorm","model.layers.4.hc_attn_base","model.layers.4.hc_attn_fn","model.layers.4.hc_attn_scale","model.layers.4.hc_ffn_base","model.layers.4.hc_ffn_fn","model.layers.4.hc_ffn_scale","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.A_log","model.layers.4.self_attn.b_proj","model.layers.4.self_attn.dt_bias","model.layers.4.self_attn.f_a_proj","model.layers.4.self_attn.f_b_proj","model.layers.4.self_attn.fused_qkvbfg_a_proj","model.layers.4.self_attn.g_a_proj","model.layers.4.self_attn.g_b_proj","model.layers.4.self_attn.k_conv1d","model.layers.4.self_attn.k_proj","model.layers.4.self_attn.o_norm","model.layers.4.self_attn.o_proj","model.layers.4.self_attn.q_conv1d","model.layers.4.self_attn.q_proj","model.layers.4.self_attn.qkv_proj","model.layers.4.self_attn.v_conv1d","model.layers.4.self_attn.v_proj","model.layers.40.hc_attn_base","model.layers.40.hc_attn_fn","model.layers.40.hc_attn_scale","model.layers.40.hc_ffn_base","model.layers.40.hc_ffn_fn","model.layers.40.hc_ffn_scale","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.A_log","model.layers.40.self_attn.b_proj","model.layers.40.self_attn.dt_bias","model.layers.40.self_attn.f_a_proj","model.layers.40.self_attn.f_b_proj","model.layers.40.self_attn.fused_qkvbfg_a_proj","model.layers.40.self_attn.g_a_proj","model.layers.40.self_attn.g_b_proj","model.layers.40.self_attn.k_conv1d","model.layers.40.self_attn.k_proj","model.layers.40.self_attn.o_norm","model.layers.40.self_attn.o_proj","model.layers.40.self_attn.q_conv1d","model.layers.40.self_attn.q_proj","model.layers.40.self_attn.qkv_proj","model.layers.40.self_attn.v_conv1d","model.layers.40.self_attn.v_proj","model.layers.41.hc_attn_base","model.layers.41.hc_attn_fn","model.layers.41.hc_attn_scale","model.layers.41.hc_ffn_base","model.layers.41.hc_ffn_fn","model.layers.41.hc_ffn_scale","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.A_log","model.layers.41.self_attn.b_proj","model.layers.41.self_attn.dt_bias","model.layers.41.self_attn.f_a_proj","model.layers.41.self_attn.f_b_proj","model.layers.41.self_attn.fused_qkvbfg_a_proj","model.layers.41.self_attn.g_a_proj","model.layers.41.self_attn.g_b_proj","model.layers.41.self_attn.k_conv1d","model.layers.41.self_attn.k_proj","model.layers.41.self_attn.o_norm","model.layers.41.self_attn.o_proj","model.layers.41.self_attn.q_conv1d","model.layers.41.self_attn.q_proj","model.layers.41.self_attn.qkv_proj","model.layers.41.self_attn.v_conv1d","model.layers.41.self_attn.v_proj","model.layers.42.hc_attn_base","model.layers.42.hc_attn_fn","model.layers.42.hc_attn_scale","model.layers.42.hc_ffn_base","model.layers.42.hc_ffn_fn","model.layers.42.hc_ffn_scale","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.A_log","model.layers.42.self_attn.b_proj","model.layers.42.self_attn.dt_bias","model.layers.42.self_attn.f_a_proj","model.layers.42.self_attn.f_b_proj","model.layers.42.self_attn.fused_qkvbfg_a_proj","model.layers.42.self_attn.g_a_proj","model.layers.42.self_attn.g_b_proj","model.layers.42.self_attn.k_conv1d","model.layers.42.self_attn.k_proj","model.layers.42.self_attn.o_norm","model.layers.42.self_attn.o_proj","model.layers.42.self_attn.q_conv1d","model.layers.42.self_attn.q_proj","model.layers.42.self_attn.qkv_proj","model.layers.42.self_attn.v_conv1d","model.layers.42.self_attn.v_proj","model.layers.43.hc_attn_base","model.layers.43.hc_attn_fn","model.layers.43.hc_attn_scale","model.layers.43.hc_ffn_base","model.layers.43.hc_ffn_fn","model.layers.43.hc_ffn_scale","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.index_kpool_compress_ape","model.layers.43.self_attn.indexer.index_kpool_compress_gate","model.layers.43.self_attn.indexer.k_norm","model.layers.43.self_attn.indexer.k_norm.bias","model.layers.43.self_attn.indexer.weights_proj","model.layers.43.self_attn.indexer.wk","model.layers.43.self_attn.indexer.wq_b","model.layers.43.self_attn.kv_a_layernorm","model.layers.43.self_attn.kv_b_proj","model.layers.43.self_attn.q_a_layernorm","model.layers.44.hc_attn_base","model.layers.44.hc_attn_fn","model.layers.44.hc_attn_scale","model.layers.44.hc_ffn_base","model.layers.44.hc_ffn_fn","model.layers.44.hc_ffn_scale","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.A_log","model.layers.44.self_attn.b_proj","model.layers.44.self_attn.dt_bias","model.layers.44.self_attn.f_a_proj","model.layers.44.self_attn.f_b_proj","model.layers.44.self_attn.fused_qkvbfg_a_proj","model.layers.44.self_attn.g_a_proj","model.layers.44.self_attn.g_b_proj","model.layers.44.self_attn.k_conv1d","model.layers.44.self_attn.k_proj","model.layers.44.self_attn.o_norm","model.layers.44.self_attn.o_proj","model.layers.44.self_attn.q_conv1d","model.layers.44.self_attn.q_proj","model.layers.44.self_attn.qkv_proj","model.layers.44.self_attn.v_conv1d","model.layers.44.self_attn.v_proj","model.layers.45.eh_proj","model.layers.45.enorm","model.layers.45.hnorm","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.index_kpool_compress_ape","model.layers.45.self_attn.indexer.index_kpool_compress_gate","model.layers.45.self_attn.indexer.k_norm","model.layers.45.self_attn.indexer.k_norm.bias","model.layers.45.self_attn.indexer.weights_proj","model.layers.45.self_attn.indexer.wk","model.layers.45.self_attn.indexer.wq_b","model.layers.45.self_attn.kv_a_layernorm","model.layers.45.self_attn.kv_b_proj","model.layers.45.self_attn.q_a_layernorm","model.layers.45.shared_head.norm","model.layers.5.hc_attn_base","model.layers.5.hc_attn_fn","model.layers.5.hc_attn_scale","model.layers.5.hc_ffn_base","model.layers.5.hc_ffn_fn","model.layers.5.hc_ffn_scale","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.A_log","model.layers.5.self_attn.b_proj","model.layers.5.self_attn.dt_bias","model.layers.5.self_attn.f_a_proj","model.layers.5.self_attn.f_b_proj","model.layers.5.self_attn.fused_qkvbfg_a_proj","model.layers.5.self_attn.g_a_proj","model.layers.5.self_attn.g_b_proj","model.layers.5.self_attn.k_conv1d","model.layers.5.self_attn.k_proj","model.layers.5.self_attn.o_norm","model.layers.5.self_attn.o_proj","model.layers.5.self_attn.q_conv1d","model.layers.5.self_attn.q_proj","model.layers.5.self_attn.qkv_proj","model.layers.5.self_attn.v_conv1d","model.layers.5.self_attn.v_proj","model.layers.6.hc_attn_base","model.layers.6.hc_attn_fn","model.layers.6.hc_attn_scale","model.layers.6.hc_ffn_base","model.layers.6.hc_ffn_fn","model.layers.6.hc_ffn_scale","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.A_log","model.layers.6.self_attn.b_proj","model.layers.6.self_attn.dt_bias","model.layers.6.self_attn.f_a_proj","model.layers.6.self_attn.f_b_proj","model.layers.6.self_attn.fused_qkvbfg_a_proj","model.layers.6.self_attn.g_a_proj","model.layers.6.self_attn.g_b_proj","model.layers.6.self_attn.k_conv1d","model.layers.6.self_attn.k_proj","model.layers.6.self_attn.o_norm","model.layers.6.self_attn.o_proj","model.layers.6.self_attn.q_conv1d","model.layers.6.self_attn.q_proj","model.layers.6.self_attn.qkv_proj","model.layers.6.self_attn.v_conv1d","model.layers.6.self_attn.v_proj","model.layers.7.hc_attn_base","model.layers.7.hc_attn_fn","model.layers.7.hc_attn_scale","model.layers.7.hc_ffn_base","model.layers.7.hc_ffn_fn","model.layers.7.hc_ffn_scale","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.index_kpool_compress_ape","model.layers.7.self_attn.indexer.index_kpool_compress_gate","model.layers.7.self_attn.indexer.k_norm","model.layers.7.self_attn.indexer.k_norm.bias","model.layers.7.self_attn.indexer.weights_proj","model.layers.7.self_attn.indexer.wk","model.layers.7.self_attn.indexer.wq_b","model.layers.7.self_attn.kv_a_layernorm","model.layers.7.self_attn.kv_b_proj","model.layers.7.self_attn.q_a_layernorm","model.layers.8.hc_attn_base","model.layers.8.hc_attn_fn","model.layers.8.hc_attn_scale","model.layers.8.hc_ffn_base","model.layers.8.hc_ffn_fn","model.layers.8.hc_ffn_scale","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.A_log","model.layers.8.self_attn.b_proj","model.layers.8.self_attn.dt_bias","model.layers.8.self_attn.f_a_proj","model.layers.8.self_attn.f_b_proj","model.layers.8.self_attn.fused_qkvbfg_a_proj","model.layers.8.self_attn.g_a_proj","model.layers.8.self_attn.g_b_proj","model.layers.8.self_attn.k_conv1d","model.layers.8.self_attn.k_proj","model.layers.8.self_attn.o_norm","model.layers.8.self_attn.o_proj","model.layers.8.self_attn.q_conv1d","model.layers.8.self_attn.q_proj","model.layers.8.self_attn.qkv_proj","model.layers.8.self_attn.v_conv1d","model.layers.8.self_attn.v_proj","model.layers.9.hc_attn_base","model.layers.9.hc_attn_fn","model.layers.9.hc_attn_scale","model.layers.9.hc_ffn_base","model.layers.9.hc_ffn_fn","model.layers.9.hc_ffn_scale","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.A_log","model.layers.9.self_attn.b_proj","model.layers.9.self_attn.dt_bias","model.layers.9.self_attn.f_a_proj","model.layers.9.self_attn.f_b_proj","model.layers.9.self_attn.fused_qkvbfg_a_proj","model.layers.9.self_attn.g_a_proj","model.layers.9.self_attn.g_b_proj","model.layers.9.self_attn.k_conv1d","model.layers.9.self_attn.k_proj","model.layers.9.self_attn.o_norm","model.layers.9.self_attn.o_proj","model.layers.9.self_attn.q_conv1d","model.layers.9.self_attn.q_proj","model.layers.9.self_attn.qkv_proj","model.layers.9.self_attn.v_conv1d","model.layers.9.self_attn.v_proj","model.norm","model.visual","router","visual","visual.blocks.0.attn.k_norm","visual.blocks.0.attn.proj","visual.blocks.0.attn.proj.bias","visual.blocks.0.attn.q_norm","visual.blocks.0.attn.qkv","visual.blocks.0.attn.qkv.bias","visual.blocks.0.mlp.down_proj","visual.blocks.0.mlp.down_proj.bias","visual.blocks.0.mlp.gate_proj","visual.blocks.0.mlp.gate_proj.bias","visual.blocks.0.mlp.up_proj","visual.blocks.0.mlp.up_proj.bias","visual.blocks.0.norm1","visual.blocks.0.norm2","visual.blocks.1.attn.k_norm","visual.blocks.1.attn.proj","visual.blocks.1.attn.proj.bias","visual.blocks.1.attn.q_norm","visual.blocks.1.attn.qkv","visual.blocks.1.attn.qkv.bias","visual.blocks.1.mlp.down_proj","visual.blocks.1.mlp.down_proj.bias","visual.blocks.1.mlp.gate_proj","visual.blocks.1.mlp.gate_proj.bias","visual.blocks.1.mlp.up_proj","visual.blocks.1.mlp.up_proj.bias","visual.blocks.1.norm1","visual.blocks.1.norm2","visual.blocks.10.attn.k_norm","visual.blocks.10.attn.proj","visual.blocks.10.attn.proj.bias","visual.blocks.10.attn.q_norm","visual.blocks.10.attn.qkv","visual.blocks.10.attn.qkv.bias","visual.blocks.10.mlp.down_proj","visual.blocks.10.mlp.down_proj.bias","visual.blocks.10.mlp.gate_proj","visual.blocks.10.mlp.gate_proj.bias","visual.blocks.10.mlp.up_proj","visual.blocks.10.mlp.up_proj.bias","visual.blocks.10.norm1","visual.blocks.10.norm2","visual.blocks.11.attn.k_norm","visual.blocks.11.attn.proj","visual.blocks.11.attn.proj.bias","visual.blocks.11.attn.q_norm","visual.blocks.11.attn.qkv","visual.blocks.11.attn.qkv.bias","visual.blocks.11.mlp.down_proj","visual.blocks.11.mlp.down_proj.bias","visual.blocks.11.mlp.gate_proj","visual.blocks.11.mlp.gate_proj.bias","visual.blocks.11.mlp.up_proj","visual.blocks.11.mlp.up_proj.bias","visual.blocks.11.norm1","visual.blocks.11.norm2","visual.blocks.12.attn.k_norm","visual.blocks.12.attn.proj","visual.blocks.12.attn.proj.bias","visual.blocks.12.attn.q_norm","visual.blocks.12.attn.qkv","visual.blocks.12.attn.qkv.bias","visual.blocks.12.mlp.down_proj","visual.blocks.12.mlp.down_proj.bias","visual.blocks.12.mlp.gate_proj","visual.blocks.12.mlp.gate_proj.bias","visual.blocks.12.mlp.up_proj","visual.blocks.12.mlp.up_proj.bias","visual.blocks.12.norm1","visual.blocks.12.norm2","visual.blocks.13.attn.k_norm","visual.blocks.13.attn.proj","visual.blocks.13.attn.proj.bias","visual.blocks.13.attn.q_norm","visual.blocks.13.attn.qkv","visual.blocks.13.attn.qkv.bias","visual.blocks.13.mlp.down_proj","visual.blocks.13.mlp.down_proj.bias","visual.blocks.13.mlp.gate_proj","visual.blocks.13.mlp.gate_proj.bias","visual.blocks.13.mlp.up_proj","visual.blocks.13.mlp.up_proj.bias","visual.blocks.13.norm1","visual.blocks.13.norm2","visual.blocks.14.attn.k_norm","visual.blocks.14.attn.proj","visual.blocks.14.attn.proj.bias","visual.blocks.14.attn.q_norm","visual.blocks.14.attn.qkv","visual.blocks.14.attn.qkv.bias","visual.blocks.14.mlp.down_proj","visual.blocks.14.mlp.down_proj.bias","visual.blocks.14.mlp.gate_proj","visual.blocks.14.mlp.gate_proj.bias","visual.blocks.14.mlp.up_proj","visual.blocks.14.mlp.up_proj.bias","visual.blocks.14.norm1","visual.blocks.14.norm2","visual.blocks.15.attn.k_norm","visual.blocks.15.attn.proj","visual.blocks.15.attn.proj.bias","visual.blocks.15.attn.q_norm","visual.blocks.15.attn.qkv","visual.blocks.15.attn.qkv.bias","visual.blocks.15.mlp.down_proj","visual.blocks.15.mlp.down_proj.bias","visual.blocks.15.mlp.gate_proj","visual.blocks.15.mlp.gate_proj.bias","visual.blocks.15.mlp.up_proj","visual.blocks.15.mlp.up_proj.bias","visual.blocks.15.norm1","visual.blocks.15.norm2","visual.blocks.16.attn.k_norm","visual.blocks.16.attn.proj","visual.blocks.16.attn.proj.bias","visual.blocks.16.attn.q_norm","visual.blocks.16.attn.qkv","visual.blocks.16.attn.qkv.bias","visual.blocks.16.mlp.down_proj","visual.blocks.16.mlp.down_proj.bias","visual.blocks.16.mlp.gate_proj","visual.blocks.16.mlp.gate_proj.bias","visual.blocks.16.mlp.up_proj","visual.blocks.16.mlp.up_proj.bias","visual.blocks.16.norm1","visual.blocks.16.norm2","visual.blocks.17.attn.k_norm","visual.blocks.17.attn.proj","visual.blocks.17.attn.proj.bias","visual.blocks.17.attn.q_norm","visual.blocks.17.attn.qkv","visual.blocks.17.attn.qkv.bias","visual.blocks.17.mlp.down_proj","visual.blocks.17.mlp.down_proj.bias","visual.blocks.17.mlp.gate_proj","visual.blocks.17.mlp.gate_proj.bias","visual.blocks.17.mlp.up_proj","visual.blocks.17.mlp.up_proj.bias","visual.blocks.17.norm1","visual.blocks.17.norm2","visual.blocks.18.attn.k_norm","visual.blocks.18.attn.proj","visual.blocks.18.attn.proj.bias","visual.blocks.18.attn.q_norm","visual.blocks.18.attn.qkv","visual.blocks.18.attn.qkv.bias","visual.blocks.18.mlp.down_proj","visual.blocks.18.mlp.down_proj.bias","visual.blocks.18.mlp.gate_proj","visual.blocks.18.mlp.gate_proj.bias","visual.blocks.18.mlp.up_proj","visual.blocks.18.mlp.up_proj.bias","visual.blocks.18.norm1","visual.blocks.18.norm2","visual.blocks.19.attn.k_norm","visual.blocks.19.attn.proj","visual.blocks.19.attn.proj.bias","visual.blocks.19.attn.q_norm","visual.blocks.19.attn.qkv","visual.blocks.19.attn.qkv.bias","visual.blocks.19.mlp.down_proj","visual.blocks.19.mlp.down_proj.bias","visual.blocks.19.mlp.gate_proj","visual.blocks.19.mlp.gate_proj.bias","visual.blocks.19.mlp.up_proj","visual.blocks.19.mlp.up_proj.bias","visual.blocks.19.norm1","visual.blocks.19.norm2","visual.blocks.2.attn.k_norm","visual.blocks.2.attn.proj","visual.blocks.2.attn.proj.bias","visual.blocks.2.attn.q_norm","visual.blocks.2.attn.qkv","visual.blocks.2.attn.qkv.bias","visual.blocks.2.mlp.down_proj","visual.blocks.2.mlp.down_proj.bias","visual.blocks.2.mlp.gate_proj","visual.blocks.2.mlp.gate_proj.bias","visual.blocks.2.mlp.up_proj","visual.blocks.2.mlp.up_proj.bias","visual.blocks.2.norm1","visual.blocks.2.norm2","visual.blocks.20.attn.k_norm","visual.blocks.20.attn.proj","visual.blocks.20.attn.proj.bias","visual.blocks.20.attn.q_norm","visual.blocks.20.attn.qkv","visual.blocks.20.attn.qkv.bias","visual.blocks.20.mlp.down_proj","visual.blocks.20.mlp.down_proj.bias","visual.blocks.20.mlp.gate_proj","visual.blocks.20.mlp.gate_proj.bias","visual.blocks.20.mlp.up_proj","visual.blocks.20.mlp.up_proj.bias","visual.blocks.20.norm1","visual.blocks.20.norm2","visual.blocks.21.attn.k_norm","visual.blocks.21.attn.proj","visual.blocks.21.attn.proj.bias","visual.blocks.21.attn.q_norm","visual.blocks.21.attn.qkv","visual.blocks.21.attn.qkv.bias","visual.blocks.21.mlp.down_proj","visual.blocks.21.mlp.down_proj.bias","visual.blocks.21.mlp.gate_proj","visual.blocks.21.mlp.gate_proj.bias","visual.blocks.21.mlp.up_proj","visual.blocks.21.mlp.up_proj.bias","visual.blocks.21.norm1","visual.blocks.21.norm2","visual.blocks.22.attn.k_norm","visual.blocks.22.attn.proj","visual.blocks.22.attn.proj.bias","visual.blocks.22.attn.q_norm","visual.blocks.22.attn.qkv","visual.blocks.22.attn.qkv.bias","visual.blocks.22.mlp.down_proj","visual.blocks.22.mlp.down_proj.bias","visual.blocks.22.mlp.gate_proj","visual.blocks.22.mlp.gate_proj.bias","visual.blocks.22.mlp.up_proj","visual.blocks.22.mlp.up_proj.bias","visual.blocks.22.norm1","visual.blocks.22.norm2","visual.blocks.23.attn.k_norm","visual.blocks.23.attn.proj","visual.blocks.23.attn.proj.bias","visual.blocks.23.attn.q_norm","visual.blocks.23.attn.qkv","visual.blocks.23.attn.qkv.bias","visual.blocks.23.mlp.down_proj","visual.blocks.23.mlp.down_proj.bias","visual.blocks.23.mlp.gate_proj","visual.blocks.23.mlp.gate_proj.bias","visual.blocks.23.mlp.up_proj","visual.blocks.23.mlp.up_proj.bias","visual.blocks.23.norm1","visual.blocks.23.norm2","visual.blocks.3.attn.k_norm","visual.blocks.3.attn.proj","visual.blocks.3.attn.proj.bias","visual.blocks.3.attn.q_norm","visual.blocks.3.attn.qkv","visual.blocks.3.attn.qkv.bias","visual.blocks.3.mlp.down_proj","visual.blocks.3.mlp.down_proj.bias","visual.blocks.3.mlp.gate_proj","visual.blocks.3.mlp.gate_proj.bias","visual.blocks.3.mlp.up_proj","visual.blocks.3.mlp.up_proj.bias","visual.blocks.3.norm1","visual.blocks.3.norm2","visual.blocks.4.attn.k_norm","visual.blocks.4.attn.proj","visual.blocks.4.attn.proj.bias","visual.blocks.4.attn.q_norm","visual.blocks.4.attn.qkv","visual.blocks.4.attn.qkv.bias","visual.blocks.4.mlp.down_proj","visual.blocks.4.mlp.down_proj.bias","visual.blocks.4.mlp.gate_proj","visual.blocks.4.mlp.gate_proj.bias","visual.blocks.4.mlp.up_proj","visual.blocks.4.mlp.up_proj.bias","visual.blocks.4.norm1","visual.blocks.4.norm2","visual.blocks.5.attn.k_norm","visual.blocks.5.attn.proj","visual.blocks.5.attn.proj.bias","visual.blocks.5.attn.q_norm","visual.blocks.5.attn.qkv","visual.blocks.5.attn.qkv.bias","visual.blocks.5.mlp.down_proj","visual.blocks.5.mlp.down_proj.bias","visual.blocks.5.mlp.gate_proj","visual.blocks.5.mlp.gate_proj.bias","visual.blocks.5.mlp.up_proj","visual.blocks.5.mlp.up_proj.bias","visual.blocks.5.norm1","visual.blocks.5.norm2","visual.blocks.6.attn.k_norm","visual.blocks.6.attn.proj","visual.blocks.6.attn.proj.bias","visual.blocks.6.attn.q_norm","visual.blocks.6.attn.qkv","visual.blocks.6.attn.qkv.bias","visual.blocks.6.mlp.down_proj","visual.blocks.6.mlp.down_proj.bias","visual.blocks.6.mlp.gate_proj","visual.blocks.6.mlp.gate_proj.bias","visual.blocks.6.mlp.up_proj","visual.blocks.6.mlp.up_proj.bias","visual.blocks.6.norm1","visual.blocks.6.norm2","visual.blocks.7.attn.k_norm","visual.blocks.7.attn.proj","visual.blocks.7.attn.proj.bias","visual.blocks.7.attn.q_norm","visual.blocks.7.attn.qkv","visual.blocks.7.attn.qkv.bias","visual.blocks.7.mlp.down_proj","visual.blocks.7.mlp.down_proj.bias","visual.blocks.7.mlp.gate_proj","visual.blocks.7.mlp.gate_proj.bias","visual.blocks.7.mlp.up_proj","visual.blocks.7.mlp.up_proj.bias","visual.blocks.7.norm1","visual.blocks.7.norm2","visual.blocks.8.attn.k_norm","visual.blocks.8.attn.proj","visual.blocks.8.attn.proj.bias","visual.blocks.8.attn.q_norm","visual.blocks.8.attn.qkv","visual.blocks.8.attn.qkv.bias","visual.blocks.8.mlp.down_proj","visual.blocks.8.mlp.down_proj.bias","visual.blocks.8.mlp.gate_proj","visual.blocks.8.mlp.gate_proj.bias","visual.blocks.8.mlp.up_proj","visual.blocks.8.mlp.up_proj.bias","visual.blocks.8.norm1","visual.blocks.8.norm2","visual.blocks.9.attn.k_norm","visual.blocks.9.attn.proj","visual.blocks.9.attn.proj.bias","visual.blocks.9.attn.q_norm","visual.blocks.9.attn.qkv","visual.blocks.9.attn.qkv.bias","visual.blocks.9.mlp.down_proj","visual.blocks.9.mlp.down_proj.bias","visual.blocks.9.mlp.gate_proj","visual.blocks.9.mlp.gate_proj.bias","visual.blocks.9.mlp.up_proj","visual.blocks.9.mlp.up_proj.bias","visual.blocks.9.norm1","visual.blocks.9.norm2","visual.downsample","visual.downsample.bias","visual.merger.down_proj","visual.merger.gate_proj","visual.merger.post_projection_norm","visual.merger.post_projection_norm.bias","visual.merger.proj","visual.merger.up_proj","visual.patch_embed.proj","visual.patch_embed.proj.bias","visual.post_layernorm","weights_proj"],"quant_method":"fp8"},"tokenizer_config":{"eos_token":"<|endoftext|>","pad_token":"<|endoftext|>"},"chat_template_jinja":"[gMASK]<sop>\n{%- set effective_reasoning_effort = reasoning_effort if reasoning_effort is defined and reasoning_effort in ['low', 'high'] else 'max' -%}\n{%- if effective_reasoning_effort is not none -%}<|system|>Reasoning Effort: {{ effective_reasoning_effort | capitalize }}{%- endif -%}\n{%- set clear_thinking = clear_thinking if clear_thinking is defined else false -%}\n{%- if tools -%}\n{%- macro tool_to_json(tool) -%}\n    {%- set ns_tool = namespace(first=true) -%}\n    {{ '{' -}}\n    {%- for k, v in tool.items() -%}\n        {%- if k != 'defer_loading' and k != 'strict' -%}\n            {%- if not ns_tool.first -%}{{- ', ' -}}{%- endif -%}\n            {%- set ns_tool.first = false -%}\n            \"{{ k }}\": {{ v | tojson(ensure_ascii=False) }}\n        {%- endif -%}\n    {%- endfor -%}\n    {{- '}' -}}\n{%- endmacro -%}\n{%- macro tool_references_to_response(refs) -%}\n    {{- '<tool_response><tools>\\n' -}}\n    {%- for tr in refs -%}\n        {%- for tool in tools -%}\n            {%- if 'function' in tool -%}\n                {%- set tool = tool['function'] -%}\n            {%- endif -%}\n            {%- if tool.name == tr.name -%}\n                {{- tool_to_json(tool) + '\\n' -}}\n            {%- endif -%}\n        {%- endfor -%}\n    {%- endfor -%}\n    {{- '</tools></tool_response>' -}}\n{%- endmacro -%}\n<|system|>\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>\n{% for tool in tools %}\n{%- if 'function' in tool -%}\n    {%- set tool = tool['function'] -%}\n{%- endif -%}\n{% if tool.defer_loading is not defined or not tool.defer_loading %}\n{{ tool_to_json(tool) }}\n{% endif %}\n{% endfor %}\n</tools>\n\nFor each function call, output the function name and arguments within the following XML format:\n<tool_call>{function-name}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value><arg_key>{arg-key-2}</arg_key><arg_value>{arg-value-2}</arg_value>...</tool_call>{%- endif -%}\n{%- macro emit_image() -%}<|begin_of_image|><|image|><|end_of_image|>{%- endmacro -%}\n{%- macro emit_video() -%}<|begin_of_video|><|video|><|end_of_video|>{%- endmacro -%}\n{%- macro emit_audio() -%}<|begin_of_audio|><|end_of_audio|>{%- endmacro -%}\n{%- macro visible_text(content) -%}\n    {%- if content is string -%}\n        {{- content -}}\n    {%- elif content is iterable and content is not mapping -%}\n        {%- for item in content -%}\n            {%- if item is mapping and item.type == 'text' -%}\n                {{- item.text -}}\n            {%- elif item is string -%}\n                {{- item -}}\n            {%- elif item is mapping and item.type in ['image', 'image_url'] -%}\n                {{- emit_image() -}}\n            {%- elif item is mapping and item.type in ['video', 'video_url'] -%}\n                {{- emit_video() -}}\n            {%- elif item is mapping and item.type in ['audio', 'audio_url', 'input_audio'] -%}\n                {{- emit_audio() -}}\n            {%- endif -%}\n        {%- endfor -%}\n    {%- elif content is not none -%}\n        {{- content -}}\n    {%- endif -%}\n{%- endmacro -%}\n{%- macro tool_response(text) -%}\n{{- '<tool_response>' + text + '</tool_response>' -}}\n{%- endmacro -%}\n{%- macro render_tool_response(m) -%}\n{%- if m.content is string -%}\n    {{- tool_response(m.content) -}}\n{%- elif m.content and m.content is not mapping and m.content.0.type == \"tool_reference\" -%}\n    {{- tool_references_to_response(m.content) -}}\n{%- elif is_list_of_outputs(m) -%}\n    {%- for tr in m.content -%}\n        {%- if tr.output is iterable and tr.output is not string and tr.output is not mapping and tr.output and tr.output.0.type == \"tool_reference\" -%}\n            {{- tool_references_to_response(tr.output) -}}\n        {%- else -%}\n            {{- tool_response(visible_text(tr.output)) -}}\n        {%- endif -%}\n    {%- endfor -%}\n{%- else -%}\n    {{- tool_response(visible_text(m.content)) -}}\n{%- endif -%}\n{%- endmacro -%}\n{%- macro id_of(obj) -%}\n    {%- if obj.tool_call_id -%}\n        {{- obj.tool_call_id -}}\n    {%- elif obj.id -%}\n        {{- obj.id -}}\n    {%- endif -%}\n{%- endmacro -%}\n{%- macro is_list_of_outputs(m) -%}\n    {%- if m.content and m.content.0.output is defined -%}1{%- endif -%}\n{%- endmacro -%}\n{%- macro has_dup_tool_result_id(lo, hi, target) -%}\n    {%- set ns_cnt = namespace(n=0) -%}\n    {%- for k in range(lo, hi + 1) -%}\n        {%- set m = messages[k] -%}\n        {%- if is_list_of_outputs(m) -%}\n            {%- for entry in m.content -%}\n                {%- if id_of(entry) == target -%}\n                    {%- set ns_cnt.n = ns_cnt.n + 1 -%}\n                {%- endif -%}\n            {%- endfor -%}\n        {%- elif id_of(m) == target -%}\n            {%- set ns_cnt.n = ns_cnt.n + 1 -%}\n        {%- endif -%}\n        {%- if ns_cnt.n > 1 -%}{%- break -%}{%- endif -%}\n    {%- endfor -%}\n    {%- if ns_cnt.n > 1 -%}1{%- endif -%}\n{%- endmacro -%}\n{%- macro tc_id_exists(tcs, target) -%}\n    {%- set ns_f = namespace(found=false) -%}\n    {%- for tc in tcs -%}\n        {%- if id_of(tc) == target -%}\n            {%- set ns_f.found = true -%}\n            {%- break -%}\n        {%- endif -%}\n    {%- endfor -%}\n    {%- if ns_f.found -%}1{%- endif -%}\n{%- endmacro -%}\n{%- set ns = namespace(last_user_index=-1) -%}\n{%- for m in messages %}\n    {%- if m.role == 'user' %}\n        {%- set ns.last_user_index = loop.index0 -%}\n    {%- endif %}\n{%- endfor %}\n{%- for m in messages -%}\n{%- if m.role == 'user' -%}<|user|>{{ visible_text(m.content) }}\n{%- elif m.role == 'assistant' -%}\n<|assistant|>\n{%- set content = visible_text(m.content) %}\n{%- if m.reasoning_content is string %}\n    {%- set reasoning_content = m.reasoning_content %}\n{%- elif '</think>' in content %}\n    {%- set reasoning_content = content.split('</think>')[0].split('<think>')[-1] %}\n    {%- set content = content.split('</think>')[-1] %}\n{%- endif %}\n{%- if (not clear_thinking or loop.index0 > ns.last_user_index) and reasoning_content is defined -%}\n{{ '<think>' + reasoning_content +  '</think>'}}\n{%- else -%}\n{{ '<think></think>' }}\n{%- endif -%}\n{%- if content.strip() -%}\n{{ content.strip() }}\n{%- endif -%}\n{% if m.tool_calls %}\n{% for tc in m.tool_calls %}\n{%- if tc.function %}\n    {%- set tc = tc.function %}\n{%- endif %}\n{{- '<tool_call>' ~ tc.name -}}\n{% set _args = tc.arguments %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</tool_call>{% endfor %}\n{% endif %}\n{%- elif m.role == 'tool' -%}\n{%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n    {{- '<|observation|>' -}}\n    {%- set block_start = loop.index0 -%}\n    {%- set ns_blk = namespace(end=block_start) -%}\n    {%- for j in range(block_start, messages|length) -%}\n        {%- if messages[j].role == 'tool' -%}\n            {%- set ns_blk.end = j -%}\n        {%- else -%}\n            {%- break -%}\n        {%- endif -%}\n    {%- endfor -%}\n    {%- set ns_a = namespace(tool_calls=none) -%}\n    {%- if block_start > 0 and messages[block_start - 1].role == 'assistant' and messages[block_start - 1].tool_calls -%}\n        {%- set ns_a.tool_calls = messages[block_start - 1].tool_calls -%}\n    {%- endif -%}\n    {%- set ns_chk = namespace(can_sort=true) -%}\n    {%- if not ns_a.tool_calls -%}\n        {%- set ns_chk.can_sort = false -%}\n    {%- else -%}\n        {%- for k in range(block_start, ns_blk.end + 1) -%}\n            {%- if not ns_chk.can_sort -%}{%- break -%}{%- endif -%}\n            {%- set m = messages[k] -%}\n            {%- if is_list_of_outputs(m) -%}\n                {%- for entry in m.content -%}\n                    {%- if not ns_chk.can_sort -%}{%- break -%}{%- endif -%}\n                    {%- set eid = id_of(entry) -%}\n                    {%- if not eid -%}\n                        {%- set ns_chk.can_sort = false -%}\n                    {%- elif has_dup_tool_result_id(block_start, ns_blk.end, eid) -%}\n                        {%- set ns_chk.can_sort = false -%}\n                    {%- elif not tc_id_exists(ns_a.tool_calls, eid) -%}\n                        {%- set ns_chk.can_sort = false -%}\n                    {%- endif -%}\n                {%- endfor -%}\n            {%- else -%}\n                {%- set tk_id = id_of(m) -%}\n                {%- if not tk_id -%}\n                    {%- set ns_chk.can_sort = false -%}\n                {%- elif has_dup_tool_result_id(block_start, ns_blk.end, tk_id) -%}\n                    {%- set ns_chk.can_sort = false -%}\n                {%- elif not tc_id_exists(ns_a.tool_calls, tk_id) -%}\n                    {%- set ns_chk.can_sort = false -%}\n                {%- endif -%}\n            {%- endif -%}\n        {%- endfor -%}\n        {%- for i in range(ns_a.tool_calls | length) -%}\n            {%- if not ns_chk.can_sort -%}{%- break -%}{%- endif -%}\n            {%- set tc_id = id_of(ns_a.tool_calls[i]) -%}\n            {%- if not tc_id -%}\n                {%- set ns_chk.can_sort = false -%}\n            {%- endif -%}\n            {%- for j in range(i + 1, ns_a.tool_calls | length) -%}\n                {%- if id_of(ns_a.tool_calls[j]) == tc_id -%}\n                    {%- set ns_chk.can_sort = false -%}\n                    {%- break -%}\n                {%- endif -%}\n            {%- endfor -%}\n        {%- endfor -%}\n    {%- endif -%}\n    {%- if ns_chk.can_sort -%}\n        {%- for tc in ns_a.tool_calls -%}\n            {%- set tc_id = id_of(tc) -%}\n            {%- for k in range(block_start, ns_blk.end + 1) -%}\n                {%- set m = messages[k] -%}\n                {%- if is_list_of_outputs(m) -%}\n                    {%- for entry in m.content -%}\n                        {%- set eid = id_of(entry) -%}\n                        {%- if eid == tc_id -%}\n                            {%- if entry.output is iterable and entry.output is not string and entry.output is not mapping and entry.output and entry.output.0.type == \"tool_reference\" -%}\n                                {{- tool_references_to_response(entry.output) -}}\n                            {%- else -%}\n                                {{- tool_response(visible_text(entry.output)) -}}\n                            {%- endif -%}\n                        {%- endif -%}\n                    {%- endfor -%}\n                {%- else -%}\n                    {%- set tk_id = id_of(m) -%}\n                    {%- if tk_id == tc_id -%}\n                        {{- render_tool_response(m) -}}\n                    {%- endif -%}\n                {%- endif -%}\n            {%- endfor -%}\n        {%- endfor -%}\n    {%- else -%}\n        {%- for k in range(block_start, ns_blk.end + 1) -%}\n            {{- render_tool_response(messages[k]) -}}\n        {%- endfor -%}\n    {%- endif -%}\n{% endif -%}\n{%- elif m.role == 'system' -%}\n<|system|>{{ visible_text(m.content) }}\n{%- endif -%}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n    <|assistant|>{{- '<think>' -}}\n{%- endif -%}\n"},"cardData":{"language":["en","zh"],"library_name":"transformers","license":"mit","pipeline_tag":"image-text-to-text"},"transformersInfo":{"auto_model":"AutoModelForMultimodalLM","pipeline_tag":"image-text-to-text","processor":"AutoProcessor"},"siblings":[{"rfilename":".eval_results/GLM-5.3-Flash.yaml"},{"rfilename":".gitattributes"},{"rfilename":"LICENSE"},{"rfilename":"README.md"},{"rfilename":"chat_template.jinja"},{"rfilename":"config.json"},{"rfilename":"generation_config.json"},{"rfilename":"model-00001-of-00062.safetensors"},{"rfilename":"model-00002-of-00062.safetensors"},{"rfilename":"model-00003-of-00062.safetensors"},{"rfilename":"model-00004-of-00062.safetensors"},{"rfilename":"model-00005-of-00062.safetensors"},{"rfilename":"model-00006-of-00062.safetensors"},{"rfilename":"model-00007-of-00062.safetensors"},{"rfilename":"model-00008-of-00062.safetensors"},{"rfilename":"model-00009-of-00062.safetensors"},{"rfilename":"model-00010-of-00062.safetensors"},{"rfilename":"model-00011-of-00062.safetensors"},{"rfilename":"model-00012-of-00062.safetensors"},{"rfilename":"model-00013-of-00062.safetensors"},{"rfilename":"model-00014-of-00062.safetensors"},{"rfilename":"model-00015-of-00062.safetensors"},{"rfilename":"model-00016-of-00062.safetensors"},{"rfilename":"model-00017-of-00062.safetensors"},{"rfilename":"model-00018-of-00062.safetensors"},{"rfilename":"model-00019-of-00062.safetensors"},{"rfilename":"model-00020-of-00062.safetensors"},{"rfilename":"model-00021-of-00062.safetensors"},{"rfilename":"model-00022-of-00062.safetensors"},{"rfilename":"model-00023-of-00062.safetensors"},{"rfilename":"model-00024-of-00062.safetensors"},{"rfilename":"model-00025-of-00062.safetensors"},{"rfilename":"model-00026-of-00062.safetensors"},{"rfilename":"model-00027-of-00062.safetensors"},{"rfilename":"model-00028-of-00062.safetensors"},{"rfilename":"model-00029-of-00062.safetensors"},{"rfilename":"model-00030-of-00062.safetensors"},{"rfilename":"model-00031-of-00062.safetensors"},{"rfilename":"model-00032-of-00062.safetensors"},{"rfilename":"model-00033-of-00062.safetensors"},{"rfilename":"model-00034-of-00062.safetensors"},{"rfilename":"model-00035-of-00062.safetensors"},{"rfilename":"model-00036-of-00062.safetensors"},{"rfilename":"model-00037-of-00062.safetensors"},{"rfilename":"model-00038-of-00062.safetensors"},{"rfilename":"model-00039-of-00062.safetensors"},{"rfilename":"model-00040-of-00062.safetensors"},{"rfilename":"model-00041-of-00062.safetensors"},{"rfilename":"model-00042-of-00062.safetensors"},{"rfilename":"model-00043-of-00062.safetensors"},{"rfilename":"model-00044-of-00062.safetensors"},{"rfilename":"model-00045-of-00062.safetensors"},{"rfilename":"model-00046-of-00062.safetensors"},{"rfilename":"model-00047-of-00062.safetensors"},{"rfilename":"model-00048-of-00062.safetensors"},{"rfilename":"model-00049-of-00062.safetensors"},{"rfilename":"model-00050-of-00062.safetensors"},{"rfilename":"model-00051-of-00062.safetensors"},{"rfilename":"model-00052-of-00062.safetensors"},{"rfilename":"model-00053-of-00062.safetensors"},{"rfilename":"model-00054-of-00062.safetensors"},{"rfilename":"model-00055-of-00062.safetensors"},{"rfilename":"model-00056-of-00062.safetensors"},{"rfilename":"model-00057-of-00062.safetensors"},{"rfilename":"model-00058-of-00062.safetensors"},{"rfilename":"model-00059-of-00062.safetensors"},{"rfilename":"model-00060-of-00062.safetensors"},{"rfilename":"model-00061-of-00062.safetensors"},{"rfilename":"model-00062-of-00062.safetensors"},{"rfilename":"model.safetensors.index.json"},{"rfilename":"processor_config.json"},{"rfilename":"tokenizer.json"},{"rfilename":"tokenizer_config.json"}],"spaces":["embedl/hfviewer","Bit-Trading-Company/ASE-GLM","akhaliq/GLM-5.3-Flash","hemantkumar30590/GLM-5.3-Flash","HorizonRobotics/EmbodiedGen-Gallery-Explorer","abonaie222263/hf-openai-proxy","scikit-plots/ai","bep40/Space-Mutiverse-Control","irfannkhan/GLM-5.3-Flash-demo","akrett/cs553-ml-ops","ChandraPrakashBathula/test-time-compute","Im3cb/asistente-im3cb","SZLHOLDINGS/szl-frontier","developerjeremylive/hf-openai-proxy-etheroi","clarkpalmer/GLM-5.3-Flash-Uncensored-MLX","malaiwah/qfs-explorer","abelardo8574/GAIA_Agent"],"createdAt":"2026-08-25T06:43:14.000Z","safetensors":{"parameters":{"BF16":6926096640,"F8_E4M3":314396639232,"F32":295518},"total":321323031390},"inference":"warm","usedStorage":656694018754}