Coverage Report

Created: 2025-12-28 06:26

next uncovered line (L), next uncovered region (R), next uncovered branch (B)
/src/llama.cpp/src/llama-arch.cpp
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#include "llama-arch.h"
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#include "llama-impl.h"
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#include <map>
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#include <set>
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static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
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    { LLM_ARCH_CLIP,             "clip"             }, // dummy, only used by llama-quantize
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    { LLM_ARCH_LLAMA,            "llama"            },
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    { LLM_ARCH_LLAMA4,           "llama4"           },
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    { LLM_ARCH_DECI,             "deci"             },
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    { LLM_ARCH_FALCON,           "falcon"           },
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    { LLM_ARCH_GROK,             "grok"             },
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    { LLM_ARCH_GPT2,             "gpt2"             },
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    { LLM_ARCH_GPTJ,             "gptj"             },
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    { LLM_ARCH_GPTNEOX,          "gptneox"          },
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    { LLM_ARCH_MPT,              "mpt"              },
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    { LLM_ARCH_BAICHUAN,         "baichuan"         },
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    { LLM_ARCH_STARCODER,        "starcoder"        },
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    { LLM_ARCH_REFACT,           "refact"           },
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    { LLM_ARCH_BERT,             "bert"             },
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    { LLM_ARCH_MODERN_BERT,      "modern-bert"      },
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    { LLM_ARCH_NOMIC_BERT,       "nomic-bert"       },
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    { LLM_ARCH_NOMIC_BERT_MOE,   "nomic-bert-moe"   },
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    { LLM_ARCH_NEO_BERT,         "neo-bert"         },
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    { LLM_ARCH_JINA_BERT_V2,     "jina-bert-v2"     },
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    { LLM_ARCH_JINA_BERT_V3,     "jina-bert-v3"     },
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    { LLM_ARCH_BLOOM,            "bloom"            },
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    { LLM_ARCH_STABLELM,         "stablelm"         },
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    { LLM_ARCH_QWEN,             "qwen"             },
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    { LLM_ARCH_QWEN2,            "qwen2"            },
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    { LLM_ARCH_QWEN2MOE,         "qwen2moe"         },
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    { LLM_ARCH_QWEN2VL,          "qwen2vl"          },
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    { LLM_ARCH_QWEN3,            "qwen3"            },
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    { LLM_ARCH_QWEN3MOE,         "qwen3moe"         },
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    { LLM_ARCH_QWEN3NEXT,        "qwen3next"        },
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    { LLM_ARCH_QWEN3VL,          "qwen3vl"          },
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    { LLM_ARCH_QWEN3VLMOE,       "qwen3vlmoe"       },
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    { LLM_ARCH_PHI2,             "phi2"             },
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    { LLM_ARCH_PHI3,             "phi3"             },
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    { LLM_ARCH_PHIMOE,           "phimoe"           },
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    { LLM_ARCH_PLAMO,            "plamo"            },
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    { LLM_ARCH_PLAMO2,           "plamo2"           },
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    { LLM_ARCH_CODESHELL,        "codeshell"        },
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    { LLM_ARCH_ORION,            "orion"            },
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    { LLM_ARCH_INTERNLM2,        "internlm2"        },
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    { LLM_ARCH_MINICPM,          "minicpm"          },
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    { LLM_ARCH_MINICPM3,         "minicpm3"         },
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    { LLM_ARCH_GEMMA,            "gemma"            },
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    { LLM_ARCH_GEMMA2,           "gemma2"           },
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    { LLM_ARCH_GEMMA3,           "gemma3"           },
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    { LLM_ARCH_GEMMA3N,          "gemma3n"          },
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    { LLM_ARCH_GEMMA_EMBEDDING,  "gemma-embedding"  },
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    { LLM_ARCH_STARCODER2,       "starcoder2"       },
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    { LLM_ARCH_MAMBA,            "mamba"            },
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    { LLM_ARCH_MAMBA2,           "mamba2"           },
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    { LLM_ARCH_JAMBA,            "jamba"            },
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    { LLM_ARCH_FALCON_H1,        "falcon-h1"        },
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    { LLM_ARCH_XVERSE,           "xverse"           },
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    { LLM_ARCH_COMMAND_R,        "command-r"        },
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    { LLM_ARCH_COHERE2,          "cohere2"          },
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    { LLM_ARCH_DBRX,             "dbrx"             },
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    { LLM_ARCH_OLMO,             "olmo"             },
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    { LLM_ARCH_OLMO2,            "olmo2"            },
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    { LLM_ARCH_OLMOE,            "olmoe"            },
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    { LLM_ARCH_OPENELM,          "openelm"          },
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    { LLM_ARCH_ARCTIC,           "arctic"           },
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    { LLM_ARCH_DEEPSEEK,         "deepseek"         },
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    { LLM_ARCH_DEEPSEEK2,        "deepseek2"        },
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    { LLM_ARCH_CHATGLM,          "chatglm"          },
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    { LLM_ARCH_GLM4,             "glm4"             },
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    { LLM_ARCH_GLM4_MOE,         "glm4moe"          },
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    { LLM_ARCH_BITNET,           "bitnet"           },
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    { LLM_ARCH_T5,               "t5"               },
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    { LLM_ARCH_T5ENCODER,        "t5encoder"        },
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    { LLM_ARCH_JAIS,             "jais"             },
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    { LLM_ARCH_NEMOTRON,         "nemotron"         },
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    { LLM_ARCH_NEMOTRON_H,       "nemotron_h"       },
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    { LLM_ARCH_NEMOTRON_H_MOE,   "nemotron_h_moe"   },
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    { LLM_ARCH_EXAONE,           "exaone"           },
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    { LLM_ARCH_EXAONE4,          "exaone4"          },
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    { LLM_ARCH_RWKV6,            "rwkv6"            },
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    { LLM_ARCH_RWKV6QWEN2,       "rwkv6qwen2"       },
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    { LLM_ARCH_RWKV7,            "rwkv7"            },
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    { LLM_ARCH_ARWKV7,           "arwkv7"           },
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    { LLM_ARCH_GRANITE,          "granite"          },
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    { LLM_ARCH_GRANITE_MOE,      "granitemoe"       },
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    { LLM_ARCH_GRANITE_HYBRID,   "granitehybrid"    },
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    { LLM_ARCH_CHAMELEON,        "chameleon"        },
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    { LLM_ARCH_WAVTOKENIZER_DEC, "wavtokenizer-dec" },
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    { LLM_ARCH_PLM,              "plm"              },
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    { LLM_ARCH_BAILINGMOE,       "bailingmoe"       },
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    { LLM_ARCH_BAILINGMOE2,      "bailingmoe2"      },
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    { LLM_ARCH_DOTS1,            "dots1"            },
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    { LLM_ARCH_ARCEE,            "arcee"            },
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    { LLM_ARCH_AFMOE,            "afmoe"            },
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    { LLM_ARCH_ERNIE4_5,         "ernie4_5"         },
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    { LLM_ARCH_ERNIE4_5_MOE,     "ernie4_5-moe"     },
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    { LLM_ARCH_HUNYUAN_MOE,      "hunyuan-moe"      },
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    { LLM_ARCH_HUNYUAN_DENSE,    "hunyuan-dense"    },
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    { LLM_ARCH_SMOLLM3,          "smollm3"          },
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    { LLM_ARCH_OPENAI_MOE,       "gpt-oss"          },
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    { LLM_ARCH_LFM2,             "lfm2"             },
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    { LLM_ARCH_LFM2MOE,          "lfm2moe"          },
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    { LLM_ARCH_DREAM,            "dream"            },
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    { LLM_ARCH_SMALLTHINKER,     "smallthinker"     },
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    { LLM_ARCH_LLADA,            "llada"            },
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    { LLM_ARCH_LLADA_MOE,        "llada-moe"        },
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    { LLM_ARCH_SEED_OSS,         "seed_oss"         },
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    { LLM_ARCH_GROVEMOE,         "grovemoe"         },
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    { LLM_ARCH_APERTUS,          "apertus"          },
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    { LLM_ARCH_MINIMAX_M2,       "minimax-m2"       },
114
    { LLM_ARCH_COGVLM,           "cogvlm"           },
115
    { LLM_ARCH_RND1,             "rnd1"             },
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    { LLM_ARCH_PANGU_EMBED,      "pangu-embedded"   },
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    { LLM_ARCH_MISTRAL3,         "mistral3"         },
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    { LLM_ARCH_MIMO2,            "mimo2"           },
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    { LLM_ARCH_LLAMA_EMBED,      "llama-embed"      },
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    { LLM_ARCH_UNKNOWN,          "(unknown)"        },
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};
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static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
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    { LLM_KV_GENERAL_TYPE,                     "general.type"                          },
125
    { LLM_KV_GENERAL_ARCHITECTURE,             "general.architecture"                  },
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    { LLM_KV_GENERAL_QUANTIZATION_VERSION,     "general.quantization_version"          },
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    { LLM_KV_GENERAL_ALIGNMENT,                "general.alignment"                     },
128
    { LLM_KV_GENERAL_FILE_TYPE,                "general.file_type"                     },
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    { LLM_KV_GENERAL_SAMPLING_SEQUENCE,        "general.sampling.sequence"             },
130
    { LLM_KV_GENERAL_SAMPLING_TOP_K,           "general.sampling.top_k"                },
131
    { LLM_KV_GENERAL_SAMPLING_TOP_P,           "general.sampling.top_p"                },
132
    { LLM_KV_GENERAL_SAMPLING_MIN_P,           "general.sampling.min_p"                },
133
    { LLM_KV_GENERAL_SAMPLING_XTC_PROBABILITY, "general.sampling.xtc_probability"      },
134
    { LLM_KV_GENERAL_SAMPLING_XTC_THRESHOLD,   "general.sampling.xtc_threshold"        },
135
    { LLM_KV_GENERAL_SAMPLING_TEMP,            "general.sampling.temp"                 },
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    { LLM_KV_GENERAL_SAMPLING_PENALTY_LAST_N,  "general.sampling.penalty_last_n"       },
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    { LLM_KV_GENERAL_SAMPLING_PENALTY_REPEAT,  "general.sampling.penalty_repeat"       },
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    { LLM_KV_GENERAL_SAMPLING_MIROSTAT,        "general.sampling.mirostat"             },
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    { LLM_KV_GENERAL_SAMPLING_MIROSTAT_TAU,    "general.sampling.mirostat_tau"         },
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    { LLM_KV_GENERAL_SAMPLING_MIROSTAT_ETA,    "general.sampling.mirostat_eta"         },
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    { LLM_KV_GENERAL_NAME,                     "general.name"                          },
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    { LLM_KV_GENERAL_AUTHOR,                   "general.author"                        },
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    { LLM_KV_GENERAL_VERSION,                  "general.version"                       },
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    { LLM_KV_GENERAL_URL,                      "general.url"                           },
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    { LLM_KV_GENERAL_DESCRIPTION,              "general.description"                   },
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    { LLM_KV_GENERAL_LICENSE,                  "general.license"                       },
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    { LLM_KV_GENERAL_SOURCE_URL,               "general.source.url"                    },
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    { LLM_KV_GENERAL_SOURCE_HF_REPO,           "general.source.huggingface.repository" },
149
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    { LLM_KV_VOCAB_SIZE,                        "%s.vocab_size"                        },
151
    { LLM_KV_CONTEXT_LENGTH,                    "%s.context_length"                    },
152
    { LLM_KV_EMBEDDING_LENGTH,                  "%s.embedding_length"                  },
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    { LLM_KV_FEATURES_LENGTH,                   "%s.features_length"                   },
154
    { LLM_KV_BLOCK_COUNT,                       "%s.block_count"                       },
155
    { LLM_KV_LEADING_DENSE_BLOCK_COUNT,         "%s.leading_dense_block_count"         },
156
    { LLM_KV_FEED_FORWARD_LENGTH,               "%s.feed_forward_length"               },
157
    { LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        "%s.expert_feed_forward_length"        },
158
    { LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, "%s.expert_shared_feed_forward_length" },
159
    { LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH,  "%s.expert_chunk_feed_forward_length"  },
160
    { LLM_KV_USE_PARALLEL_RESIDUAL,             "%s.use_parallel_residual"             },
161
    { LLM_KV_TENSOR_DATA_LAYOUT,                "%s.tensor_data_layout"                },
162
    { LLM_KV_EXPERT_COUNT,                      "%s.expert_count"                      },
163
    { LLM_KV_EXPERT_USED_COUNT,                 "%s.expert_used_count"                 },
164
    { LLM_KV_EXPERT_SHARED_COUNT,               "%s.expert_shared_count"               },
165
    { LLM_KV_EXPERT_GROUP_COUNT,                "%s.expert_group_count"                },
166
    { LLM_KV_EXPERT_GROUP_USED_COUNT,           "%s.expert_group_used_count"           },
167
    { LLM_KV_EXPERT_WEIGHTS_SCALE,              "%s.expert_weights_scale"              },
168
    { LLM_KV_EXPERT_WEIGHTS_NORM,               "%s.expert_weights_norm"               },
169
    { LLM_KV_EXPERT_GATING_FUNC,                "%s.expert_gating_func"                },
170
    { LLM_KV_EXPERT_GROUP_SCALE,                "%s.expert_group_scale"                },
171
    { LLM_KV_EXPERTS_PER_GROUP,                 "%s.experts_per_group"                 },
172
    { LLM_KV_MOE_EVERY_N_LAYERS,                "%s.moe_every_n_layers"                },
173
    { LLM_KV_NEXTN_PREDICT_LAYERS,              "%s.nextn_predict_layers"              },
174
    { LLM_KV_NUM_DEEPSTACK_LAYERS,              "%s.n_deepstack_layers"                },
175
    { LLM_KV_POOLING_TYPE,                      "%s.pooling_type"                      },
176
    { LLM_KV_LOGIT_SCALE,                       "%s.logit_scale"                       },
177
    { LLM_KV_DECODER_START_TOKEN_ID,            "%s.decoder_start_token_id"            },
178
    { LLM_KV_DECODER_BLOCK_COUNT,               "%s.decoder_block_count"               },
179
    { LLM_KV_ATTN_LOGIT_SOFTCAPPING,            "%s.attn_logit_softcapping"            },
180
    { LLM_KV_ROUTER_LOGIT_SOFTCAPPING,          "%s.router_logit_softcapping"          },
181
    { LLM_KV_FINAL_LOGIT_SOFTCAPPING,           "%s.final_logit_softcapping"           },
182
    { LLM_KV_SWIN_NORM,                         "%s.swin_norm"                         },
183
    { LLM_KV_RESCALE_EVERY_N_LAYERS,            "%s.rescale_every_n_layers"            },
184
    { LLM_KV_TIME_MIX_EXTRA_DIM,                "%s.time_mix_extra_dim"                },
185
    { LLM_KV_TIME_DECAY_EXTRA_DIM,              "%s.time_decay_extra_dim"              },
186
    { LLM_KV_RESIDUAL_SCALE,                    "%s.residual_scale"                    },
187
    { LLM_KV_EMBEDDING_SCALE,                   "%s.embedding_scale"                   },
188
    { LLM_KV_TOKEN_SHIFT_COUNT,                 "%s.token_shift_count"                 },
189
    { LLM_KV_INTERLEAVE_MOE_LAYER_STEP,         "%s.interleave_moe_layer_step"         },
190
191
    { LLM_KV_ATTENTION_HEAD_COUNT,                   "%s.attention.head_count"                   },
192
    { LLM_KV_ATTENTION_HEAD_COUNT_KV,                "%s.attention.head_count_kv"                },
193
    { LLM_KV_ATTENTION_MAX_ALIBI_BIAS,               "%s.attention.max_alibi_bias"               },
194
    { LLM_KV_ATTENTION_CLAMP_KQV,                    "%s.attention.clamp_kqv"                    },
195
    { LLM_KV_ATTENTION_KEY_LENGTH,                   "%s.attention.key_length"                   },
196
    { LLM_KV_ATTENTION_VALUE_LENGTH,                 "%s.attention.value_length"                 },
197
    { LLM_KV_ATTENTION_LAYERNORM_EPS,                "%s.attention.layer_norm_epsilon"           },
198
    { LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,            "%s.attention.layer_norm_rms_epsilon"       },
199
    { LLM_KV_ATTENTION_GROUPNORM_EPS,                "%s.attention.group_norm_epsilon"           },
200
    { LLM_KV_ATTENTION_GROUPNORM_GROUPS,             "%s.attention.group_norm_groups"            },
201
    { LLM_KV_ATTENTION_CAUSAL,                       "%s.attention.causal"                       },
202
    { LLM_KV_ATTENTION_Q_LORA_RANK,                  "%s.attention.q_lora_rank"                  },
203
    { LLM_KV_ATTENTION_KV_LORA_RANK,                 "%s.attention.kv_lora_rank"                 },
204
    { LLM_KV_ATTENTION_DECAY_LORA_RANK,              "%s.attention.decay_lora_rank"              },
205
    { LLM_KV_ATTENTION_ICLR_LORA_RANK,               "%s.attention.iclr_lora_rank"               },
206
    { LLM_KV_ATTENTION_VALUE_RESIDUAL_MIX_LORA_RANK, "%s.attention.value_residual_mix_lora_rank" },
207
    { LLM_KV_ATTENTION_GATE_LORA_RANK,               "%s.attention.gate_lora_rank"               },
208
    { LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT,       "%s.attention.relative_buckets_count"       },
209
    { LLM_KV_ATTENTION_SLIDING_WINDOW,               "%s.attention.sliding_window"               },
210
    { LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN,       "%s.attention.sliding_window_pattern"       },
211
    { LLM_KV_ATTENTION_SCALE,                        "%s.attention.scale"                        },
212
    { LLM_KV_ATTENTION_OUTPUT_SCALE,                 "%s.attention.output_scale"                 },
213
    { LLM_KV_ATTENTION_TEMPERATURE_LENGTH,           "%s.attention.temperature_length"           },
214
    { LLM_KV_ATTENTION_TEMPERATURE_SCALE,            "%s.attention.temperature_scale"            },
215
    { LLM_KV_ATTENTION_KEY_LENGTH_MLA,               "%s.attention.key_length_mla"               },
216
    { LLM_KV_ATTENTION_VALUE_LENGTH_MLA,             "%s.attention.value_length_mla"             },
217
218
    { LLM_KV_ROPE_DIMENSION_COUNT,          "%s.rope.dimension_count"                 },
219
    { LLM_KV_ROPE_DIMENSION_SECTIONS,       "%s.rope.dimension_sections"              },
220
    { LLM_KV_ROPE_FREQ_BASE,                "%s.rope.freq_base"                       },
221
    { LLM_KV_ROPE_FREQ_BASE_SWA,            "%s.rope.freq_base_swa"                   },
222
    { LLM_KV_ROPE_SCALE_LINEAR,             "%s.rope.scale_linear"                    },
223
    { LLM_KV_ROPE_SCALING_TYPE,             "%s.rope.scaling.type"                    },
224
    { LLM_KV_ROPE_SCALING_FACTOR,           "%s.rope.scaling.factor"                  },
225
    { LLM_KV_ROPE_SCALING_ATTN_FACTOR,      "%s.rope.scaling.attn_factor"             },
226
    { LLM_KV_ROPE_SCALING_ORIG_CTX_LEN,     "%s.rope.scaling.original_context_length" },
227
    { LLM_KV_ROPE_SCALING_FINETUNED,        "%s.rope.scaling.finetuned"               },
228
    { LLM_KV_ROPE_SCALING_YARN_LOG_MUL,     "%s.rope.scaling.yarn_log_multiplier"     },
229
    { LLM_KV_ROPE_SCALING_YARN_EXT_FACTOR,  "%s.rope.scaling.yarn_ext_factor"         },
230
    { LLM_KV_ROPE_SCALING_YARN_ATTN_FACTOR, "%s.rope.scaling.yarn_attn_factor"        },
231
    { LLM_KV_ROPE_SCALING_YARN_BETA_FAST,   "%s.rope.scaling.yarn_beta_fast"          },
232
    { LLM_KV_ROPE_SCALING_YARN_BETA_SLOW,   "%s.rope.scaling.yarn_beta_slow"          },
233
234
    { LLM_KV_SPLIT_NO,            "split.no"            },
235
    { LLM_KV_SPLIT_COUNT,         "split.count"         },
236
    { LLM_KV_SPLIT_TENSORS_COUNT, "split.tensors.count" },
237
238
    { LLM_KV_SSM_CONV_KERNEL,    "%s.ssm.conv_kernel"    },
239
    { LLM_KV_SSM_INNER_SIZE,     "%s.ssm.inner_size"     },
240
    { LLM_KV_SSM_STATE_SIZE,     "%s.ssm.state_size"     },
241
    { LLM_KV_SSM_TIME_STEP_RANK, "%s.ssm.time_step_rank" },
242
    { LLM_KV_SSM_GROUP_COUNT,    "%s.ssm.group_count"    },
243
    { LLM_KV_SSM_DT_B_C_RMS,     "%s.ssm.dt_b_c_rms"     },
244
245
    { LLM_KV_WKV_HEAD_SIZE, "%s.wkv.head_size" },
246
247
    { LLM_KV_POSNET_EMBEDDING_LENGTH, "%s.posnet.embedding_length" },
248
    { LLM_KV_POSNET_BLOCK_COUNT,      "%s.posnet.block_count"      },
249
250
    { LLM_KV_CONVNEXT_EMBEDDING_LENGTH, "%s.convnext.embedding_length" },
251
    { LLM_KV_CONVNEXT_BLOCK_COUNT,      "%s.convnext.block_count"      },
252
253
    { LLM_KV_CLASSIFIER_OUTPUT_LABELS, "%s.classifier.output_labels" },
254
255
    { LLM_KV_SHORTCONV_L_CACHE, "%s.shortconv.l_cache" },
256
    // sentence-transformers dense modules feature dims
257
    { LLM_KV_DENSE_2_FEAT_IN,        "%s.dense_2_feat_in"  },
258
    { LLM_KV_DENSE_2_FEAT_OUT,       "%s.dense_2_feat_out"  },
259
    { LLM_KV_DENSE_3_FEAT_IN,        "%s.dense_3_feat_in"   },
260
    { LLM_KV_DENSE_3_FEAT_OUT,       "%s.dense_3_feat_out"  },
261
262
    { LLM_KV_TOKENIZER_MODEL,                "tokenizer.ggml.model"                    },
263
    { LLM_KV_TOKENIZER_PRE,                  "tokenizer.ggml.pre"                      },
264
    { LLM_KV_TOKENIZER_LIST,                 "tokenizer.ggml.tokens"                   },
265
    { LLM_KV_TOKENIZER_TOKEN_TYPE,           "tokenizer.ggml.token_type"               },
266
    { LLM_KV_TOKENIZER_TOKEN_TYPE_COUNT,     "tokenizer.ggml.token_type_count"         },
267
    { LLM_KV_TOKENIZER_SCORES,               "tokenizer.ggml.scores"                   },
268
    { LLM_KV_TOKENIZER_MERGES,               "tokenizer.ggml.merges"                   },
269
    { LLM_KV_TOKENIZER_BOS_ID,               "tokenizer.ggml.bos_token_id"             },
270
    { LLM_KV_TOKENIZER_EOS_ID,               "tokenizer.ggml.eos_token_id"             },
271
    { LLM_KV_TOKENIZER_EOT_ID,               "tokenizer.ggml.eot_token_id"             },
272
    { LLM_KV_TOKENIZER_EOM_ID,               "tokenizer.ggml.eom_token_id"             },
273
    { LLM_KV_TOKENIZER_UNK_ID,               "tokenizer.ggml.unknown_token_id"         },
274
    { LLM_KV_TOKENIZER_SEP_ID,               "tokenizer.ggml.seperator_token_id"       },
275
    { LLM_KV_TOKENIZER_PAD_ID,               "tokenizer.ggml.padding_token_id"         },
276
    { LLM_KV_TOKENIZER_CLS_ID,               "tokenizer.ggml.cls_token_id"             },
277
    { LLM_KV_TOKENIZER_MASK_ID,              "tokenizer.ggml.mask_token_id"            },
278
    { LLM_KV_TOKENIZER_ADD_BOS,              "tokenizer.ggml.add_bos_token"            },
279
    { LLM_KV_TOKENIZER_ADD_EOS,              "tokenizer.ggml.add_eos_token"            },
280
    { LLM_KV_TOKENIZER_ADD_SEP,              "tokenizer.ggml.add_sep_token"            },
281
    { LLM_KV_TOKENIZER_ADD_PREFIX,           "tokenizer.ggml.add_space_prefix"         },
282
    { LLM_KV_TOKENIZER_REMOVE_EXTRA_WS,      "tokenizer.ggml.remove_extra_whitespaces" },
283
    { LLM_KV_TOKENIZER_PRECOMPILED_CHARSMAP, "tokenizer.ggml.precompiled_charsmap"     },
284
    { LLM_KV_TOKENIZER_HF_JSON,              "tokenizer.huggingface.json"              },
285
    { LLM_KV_TOKENIZER_RWKV,                 "tokenizer.rwkv.world"                    },
286
    { LLM_KV_TOKENIZER_CHAT_TEMPLATE,        "tokenizer.chat_template"                 },
287
    { LLM_KV_TOKENIZER_FIM_PRE_ID,           "tokenizer.ggml.fim_pre_token_id"         },
288
    { LLM_KV_TOKENIZER_FIM_SUF_ID,           "tokenizer.ggml.fim_suf_token_id"         },
289
    { LLM_KV_TOKENIZER_FIM_MID_ID,           "tokenizer.ggml.fim_mid_token_id"         },
290
    { LLM_KV_TOKENIZER_FIM_PAD_ID,           "tokenizer.ggml.fim_pad_token_id"         },
291
    { LLM_KV_TOKENIZER_FIM_REP_ID,           "tokenizer.ggml.fim_rep_token_id"         },
292
    { LLM_KV_TOKENIZER_FIM_SEP_ID,           "tokenizer.ggml.fim_sep_token_id"         },
293
294
    { LLM_KV_ADAPTER_TYPE,                    "adapter.type"               },
295
    { LLM_KV_ADAPTER_LORA_ALPHA,              "adapter.lora.alpha"         },
296
    { LLM_KV_ADAPTER_LORA_TASK_NAME,          "adapter.lora.task_name"     },
297
    { LLM_KV_ADAPTER_LORA_PROMPT_PREFIX,      "adapter.lora.prompt_prefix" },
298
    { LLM_KV_ADAPTER_ALORA_INVOCATION_TOKENS, "adapter.alora.invocation_tokens" },
299
300
    { LLM_KV_XIELU_ALPHA_N,         "xielu.alpha_n"         },
301
    { LLM_KV_XIELU_ALPHA_P,         "xielu.alpha_p"         },
302
    { LLM_KV_XIELU_BETA,            "xielu.beta"            },
303
    { LLM_KV_XIELU_EPS,             "xielu.eps"             },
304
305
    // deprecated
306
    { LLM_KV_TOKENIZER_PREFIX_ID, "tokenizer.ggml.prefix_token_id" },
307
    { LLM_KV_TOKENIZER_SUFFIX_ID, "tokenizer.ggml.suffix_token_id" },
308
    { LLM_KV_TOKENIZER_MIDDLE_ID, "tokenizer.ggml.middle_token_id" },
309
};
310
311
static const std::map<llm_tensor, const char *> LLM_TENSOR_NAMES = {
312
    { LLM_TENSOR_TOKEN_EMBD,                             "token_embd" },
313
    { LLM_TENSOR_OUTPUT_NORM,                            "output_norm" },
314
    { LLM_TENSOR_OUTPUT_NORM_LFM2,                       "token_embd_norm" }, // fix for wrong tensor name
315
    { LLM_TENSOR_OUTPUT,                                 "output" },
316
    { LLM_TENSOR_ROPE_FREQS,                             "rope_freqs" },
317
    { LLM_TENSOR_ATTN_NORM,                              "blk.%d.attn_norm" },
318
    { LLM_TENSOR_ATTN_Q,                                 "blk.%d.attn_q" },
319
    { LLM_TENSOR_ATTN_K,                                 "blk.%d.attn_k" },
320
    { LLM_TENSOR_ATTN_V,                                 "blk.%d.attn_v" },
321
    { LLM_TENSOR_ATTN_OUT,                               "blk.%d.attn_output" },
322
    { LLM_TENSOR_ATTN_ROT_EMBD,                          "blk.%d.attn_rot_embd" },
323
    { LLM_TENSOR_FFN_GATE_INP,                           "blk.%d.ffn_gate_inp" },
324
    { LLM_TENSOR_FFN_NORM,                               "blk.%d.ffn_norm" },
325
    { LLM_TENSOR_FFN_GATE,                               "blk.%d.ffn_gate" },
326
    { LLM_TENSOR_FFN_DOWN,                               "blk.%d.ffn_down" },
327
    { LLM_TENSOR_FFN_UP,                                 "blk.%d.ffn_up" },
328
    { LLM_TENSOR_FFN_GATE_EXP,                           "blk.%d.ffn_gate.%d" },
329
    { LLM_TENSOR_FFN_DOWN_EXP,                           "blk.%d.ffn_down.%d" },
330
    { LLM_TENSOR_FFN_UP_EXP,                             "blk.%d.ffn_up.%d" },
331
    { LLM_TENSOR_FFN_GATE_EXPS,                          "blk.%d.ffn_gate_exps" },
332
    { LLM_TENSOR_FFN_DOWN_EXPS,                          "blk.%d.ffn_down_exps" },
333
    { LLM_TENSOR_FFN_UP_EXPS,                            "blk.%d.ffn_up_exps" },
334
    { LLM_TENSOR_ATTN_POST_NORM,                         "blk.%d.post_attention_norm" },
335
    { LLM_TENSOR_ATTN_Q_NORM,                            "blk.%d.attn_q_norm" },
336
    { LLM_TENSOR_ATTN_K_NORM,                            "blk.%d.attn_k_norm" },
337
    { LLM_TENSOR_ATTN_GATE,                              "blk.%d.attn_gate" },
338
    { LLM_TENSOR_FFN_POST_NORM,                          "blk.%d.post_ffw_norm" },
339
    { LLM_TENSOR_FFN_GATE_SHEXP,                         "blk.%d.ffn_gate_shexp" },
340
    { LLM_TENSOR_FFN_UP_SHEXP,                           "blk.%d.ffn_up_shexp" },
341
    { LLM_TENSOR_FFN_DOWN_SHEXP,                         "blk.%d.ffn_down_shexp" },
342
    { LLM_TENSOR_FFN_EXP_PROBS_B,                        "blk.%d.exp_probs_b" },
343
    { LLM_TENSOR_ATTN_NORM_2,                            "blk.%d.attn_norm_2" },
344
    { LLM_TENSOR_ATTN_QKV,                               "blk.%d.attn_qkv" },
345
    { LLM_TENSOR_LAYER_OUT_NORM,                         "blk.%d.layer_output_norm" },
346
    { LLM_TENSOR_ATTN_OUT_NORM,                          "blk.%d.attn_output_norm" },
347
    { LLM_TENSOR_POS_EMBD,                               "position_embd" },
348
    { LLM_TENSOR_FFN_ACT,                                "blk.%d.ffn.act" },
349
    { LLM_TENSOR_TOKEN_EMBD_NORM,                        "token_embd_norm" },
350
    { LLM_TENSOR_TOKEN_TYPES,                            "token_types" },
351
    { LLM_TENSOR_CLS,                                    "cls" },
352
    { LLM_TENSOR_CLS_OUT,                                "cls.output" },
353
    { LLM_TENSOR_ENC_OUTPUT_NORM,                        "enc.output_norm" },
354
    { LLM_TENSOR_FFN_GATE_INP_SHEXP,                     "blk.%d.ffn_gate_inp_shexp" },
355
    { LLM_TENSOR_SSM_A_NOSCAN,                           "blk.%d.ssm_a" },
356
    { LLM_TENSOR_SSM_CONV1D,                             "blk.%d.ssm_conv1d" },
357
    { LLM_TENSOR_SSM_DT,                                 "blk.%d.ssm_dt" },
358
    { LLM_TENSOR_SSM_BETA_ALPHA,                         "blk.%d.ssm_ba" },
359
    { LLM_TENSOR_SSM_IN,                                 "blk.%d.ssm_in" },
360
    { LLM_TENSOR_SSM_NORM,                               "blk.%d.ssm_norm" },
361
    { LLM_TENSOR_SSM_OUT,                                "blk.%d.ssm_out" },
362
    { LLM_TENSOR_ROPE_FACTORS_LONG,                      "rope_factors_long" },
363
    { LLM_TENSOR_ROPE_FACTORS_SHORT,                     "rope_factors_short" },
364
    { LLM_TENSOR_SSM_X,                                  "blk.%d.ssm_x" },
365
    { LLM_TENSOR_SSM_A,                                  "blk.%d.ssm_a" },
366
    { LLM_TENSOR_SSM_D,                                  "blk.%d.ssm_d" },
367
    { LLM_TENSOR_SSM_DT_NORM,                            "blk.%d.ssm_dt_norm" },
368
    { LLM_TENSOR_SSM_B_NORM,                             "blk.%d.ssm_b_norm" },
369
    { LLM_TENSOR_SSM_C_NORM,                             "blk.%d.ssm_c_norm" },
370
    { LLM_TENSOR_ATTN_Q_A_NORM,                          "blk.%d.attn_q_a_norm" },
371
    { LLM_TENSOR_ATTN_KV_A_NORM,                         "blk.%d.attn_kv_a_norm" },
372
    { LLM_TENSOR_ATTN_Q_A,                               "blk.%d.attn_q_a" },
373
    { LLM_TENSOR_ATTN_Q_B,                               "blk.%d.attn_q_b" },
374
    { LLM_TENSOR_ATTN_KV_A_MQA,                          "blk.%d.attn_kv_a_mqa" },
375
    { LLM_TENSOR_ATTN_KV_B,                              "blk.%d.attn_kv_b" },
376
    { LLM_TENSOR_PER_LAYER_TOKEN_EMBD,                   "per_layer_token_embd" },
377
    { LLM_TENSOR_PER_LAYER_MODEL_PROJ,                   "per_layer_model_proj" },
378
    { LLM_TENSOR_PER_LAYER_PROJ_NORM,                    "per_layer_proj_norm" },
379
    { LLM_TENSOR_ALTUP_UNEMBD_PROJ,                      "altup_unembd_proj" },
380
    { LLM_TENSOR_ALTUP_PROJ,                             "altup_proj" },
381
    { LLM_TENSOR_PER_LAYER_INP_GATE,                     "blk.%d.inp_gate" },
382
    { LLM_TENSOR_PER_LAYER_PROJ,                         "blk.%d.proj" },
383
    { LLM_TENSOR_PER_LAYER_POST_NORM,                    "blk.%d.post_norm" },
384
    { LLM_TENSOR_ALTUP_CORRECT_COEF,                     "blk.%d.altup_correct_coef" },
385
    { LLM_TENSOR_ALTUP_CORRECT_SCALE,                    "blk.%d.altup_correct_scale" },
386
    { LLM_TENSOR_ALTUP_PREDICT_COEF,                     "blk.%d.altup_predict_coef" },
387
    { LLM_TENSOR_ALTUP_ROUTER,                           "blk.%d.altup_router" },
388
    { LLM_TENSOR_ALTUP_ROUTER_NORM,                      "blk.%d.altup_router_norm" },
389
    { LLM_TENSOR_LAUREL_L,                               "blk.%d.laurel_l" },
390
    { LLM_TENSOR_LAUREL_R,                               "blk.%d.laurel_r" },
391
    { LLM_TENSOR_LAUREL_POST_NORM,                       "blk.%d.laurel_post_norm" },
392
    { LLM_TENSOR_DENSE_2_OUT,                            "dense_2" },
393
    { LLM_TENSOR_DENSE_3_OUT,                            "dense_3" },
394
    { LLM_TENSOR_FFN_NORM_EXPS,                          "blk.%d.ffn_norm_exps" },
395
    { LLM_TENSOR_ATTN_K_B,                               "blk.%d.attn_k_b" },
396
    { LLM_TENSOR_ATTN_V_B,                               "blk.%d.attn_v_b" },
397
    { LLM_TENSOR_NEXTN_EH_PROJ,                          "blk.%d.nextn.eh_proj" },
398
    { LLM_TENSOR_NEXTN_EMBED_TOKENS,                     "blk.%d.nextn.embed_tokens" },
399
    { LLM_TENSOR_NEXTN_ENORM,                            "blk.%d.nextn.enorm" },
400
    { LLM_TENSOR_NEXTN_HNORM,                            "blk.%d.nextn.hnorm" },
401
    { LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,                 "blk.%d.nextn.shared_head_head" },
402
    { LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,                 "blk.%d.nextn.shared_head_norm" },
403
    { LLM_TENSOR_ATTN_SUB_NORM,                          "blk.%d.attn_sub_norm" },
404
    { LLM_TENSOR_FFN_SUB_NORM,                           "blk.%d.ffn_sub_norm" },
405
    { LLM_TENSOR_DEC_OUTPUT_NORM,                        "dec.output_norm" },
406
    { LLM_TENSOR_DEC_ATTN_NORM,                          "dec.blk.%d.attn_norm" },
407
    { LLM_TENSOR_DEC_ATTN_Q,                             "dec.blk.%d.attn_q" },
408
    { LLM_TENSOR_DEC_ATTN_K,                             "dec.blk.%d.attn_k" },
409
    { LLM_TENSOR_DEC_ATTN_V,                             "dec.blk.%d.attn_v" },
410
    { LLM_TENSOR_DEC_ATTN_OUT,                           "dec.blk.%d.attn_o" },
411
    { LLM_TENSOR_DEC_ATTN_REL_B,                         "dec.blk.%d.attn_rel_b" },
412
    { LLM_TENSOR_DEC_CROSS_ATTN_NORM,                    "dec.blk.%d.cross_attn_norm" },
413
    { LLM_TENSOR_DEC_CROSS_ATTN_Q,                       "dec.blk.%d.cross_attn_q" },
414
    { LLM_TENSOR_DEC_CROSS_ATTN_K,                       "dec.blk.%d.cross_attn_k" },
415
    { LLM_TENSOR_DEC_CROSS_ATTN_V,                       "dec.blk.%d.cross_attn_v" },
416
    { LLM_TENSOR_DEC_CROSS_ATTN_OUT,                     "dec.blk.%d.cross_attn_o" },
417
    { LLM_TENSOR_DEC_CROSS_ATTN_REL_B,                   "dec.blk.%d.cross_attn_rel_b" },
418
    { LLM_TENSOR_DEC_FFN_NORM,                           "dec.blk.%d.ffn_norm" },
419
    { LLM_TENSOR_DEC_FFN_GATE,                           "dec.blk.%d.ffn_gate" },
420
    { LLM_TENSOR_DEC_FFN_DOWN,                           "dec.blk.%d.ffn_down" },
421
    { LLM_TENSOR_DEC_FFN_UP,                             "dec.blk.%d.ffn_up" },
422
    { LLM_TENSOR_ENC_ATTN_NORM,                          "enc.blk.%d.attn_norm" },
423
    { LLM_TENSOR_ENC_ATTN_Q,                             "enc.blk.%d.attn_q" },
424
    { LLM_TENSOR_ENC_ATTN_K,                             "enc.blk.%d.attn_k" },
425
    { LLM_TENSOR_ENC_ATTN_V,                             "enc.blk.%d.attn_v" },
426
    { LLM_TENSOR_ENC_ATTN_OUT,                           "enc.blk.%d.attn_o" },
427
    { LLM_TENSOR_ENC_ATTN_REL_B,                         "enc.blk.%d.attn_rel_b" },
428
    { LLM_TENSOR_ENC_FFN_NORM,                           "enc.blk.%d.ffn_norm" },
429
    { LLM_TENSOR_ENC_FFN_GATE,                           "enc.blk.%d.ffn_gate" },
430
    { LLM_TENSOR_ENC_FFN_DOWN,                           "enc.blk.%d.ffn_down" },
431
    { LLM_TENSOR_ENC_FFN_UP,                             "enc.blk.%d.ffn_up" },
432
    { LLM_TENSOR_TIME_MIX_W1,                            "blk.%d.time_mix_w1" },
433
    { LLM_TENSOR_TIME_MIX_W2,                            "blk.%d.time_mix_w2" },
434
    { LLM_TENSOR_TIME_MIX_LERP_X,                        "blk.%d.time_mix_lerp_x" },
435
    { LLM_TENSOR_TIME_MIX_LERP_W,                        "blk.%d.time_mix_lerp_w" },
436
    { LLM_TENSOR_TIME_MIX_LERP_K,                        "blk.%d.time_mix_lerp_k" },
437
    { LLM_TENSOR_TIME_MIX_LERP_V,                        "blk.%d.time_mix_lerp_v" },
438
    { LLM_TENSOR_TIME_MIX_LERP_R,                        "blk.%d.time_mix_lerp_r" },
439
    { LLM_TENSOR_TIME_MIX_LERP_G,                        "blk.%d.time_mix_lerp_g" },
440
    { LLM_TENSOR_TIME_MIX_LERP_FUSED,                    "blk.%d.time_mix_lerp_fused" },
441
    { LLM_TENSOR_TIME_MIX_FIRST,                         "blk.%d.time_mix_first" },
442
    { LLM_TENSOR_TIME_MIX_DECAY,                         "blk.%d.time_mix_decay" },
443
    { LLM_TENSOR_TIME_MIX_DECAY_W1,                      "blk.%d.time_mix_decay_w1" },
444
    { LLM_TENSOR_TIME_MIX_DECAY_W2,                      "blk.%d.time_mix_decay_w2" },
445
    { LLM_TENSOR_TIME_MIX_KEY,                           "blk.%d.time_mix_key" },
446
    { LLM_TENSOR_TIME_MIX_VALUE,                         "blk.%d.time_mix_value" },
447
    { LLM_TENSOR_TIME_MIX_RECEPTANCE,                    "blk.%d.time_mix_receptance" },
448
    { LLM_TENSOR_TIME_MIX_GATE,                          "blk.%d.time_mix_gate" },
449
    { LLM_TENSOR_TIME_MIX_LN,                            "blk.%d.time_mix_ln" },
450
    { LLM_TENSOR_TIME_MIX_OUTPUT,                        "blk.%d.time_mix_output" },
451
    { LLM_TENSOR_CHANNEL_MIX_LERP_K,                     "blk.%d.channel_mix_lerp_k" },
452
    { LLM_TENSOR_CHANNEL_MIX_LERP_R,                     "blk.%d.channel_mix_lerp_r" },
453
    { LLM_TENSOR_CHANNEL_MIX_KEY,                        "blk.%d.channel_mix_key" },
454
    { LLM_TENSOR_CHANNEL_MIX_VALUE,                      "blk.%d.channel_mix_value" },
455
    { LLM_TENSOR_CHANNEL_MIX_RECEPTANCE,                 "blk.%d.channel_mix_receptance" },
456
    { LLM_TENSOR_TIME_MIX_W0,                            "blk.%d.time_mix_w0" },
457
    { LLM_TENSOR_TIME_MIX_A0,                            "blk.%d.time_mix_a0" },
458
    { LLM_TENSOR_TIME_MIX_A1,                            "blk.%d.time_mix_a1" },
459
    { LLM_TENSOR_TIME_MIX_A2,                            "blk.%d.time_mix_a2" },
460
    { LLM_TENSOR_TIME_MIX_V0,                            "blk.%d.time_mix_v0" },
461
    { LLM_TENSOR_TIME_MIX_V1,                            "blk.%d.time_mix_v1" },
462
    { LLM_TENSOR_TIME_MIX_V2,                            "blk.%d.time_mix_v2" },
463
    { LLM_TENSOR_TIME_MIX_G1,                            "blk.%d.time_mix_g1" },
464
    { LLM_TENSOR_TIME_MIX_G2,                            "blk.%d.time_mix_g2" },
465
    { LLM_TENSOR_TIME_MIX_K_K,                           "blk.%d.time_mix_k_k" },
466
    { LLM_TENSOR_TIME_MIX_K_A,                           "blk.%d.time_mix_k_a" },
467
    { LLM_TENSOR_TIME_MIX_R_K,                           "blk.%d.time_mix_r_k" },
468
    { LLM_TENSOR_CONV1D,                                 "conv1d" },
469
    { LLM_TENSOR_CONVNEXT_DW,                            "convnext.%d.dw" },
470
    { LLM_TENSOR_CONVNEXT_NORM,                          "convnext.%d.norm" },
471
    { LLM_TENSOR_CONVNEXT_PW1,                           "convnext.%d.pw1" },
472
    { LLM_TENSOR_CONVNEXT_PW2,                           "convnext.%d.pw2" },
473
    { LLM_TENSOR_CONVNEXT_GAMMA,                         "convnext.%d.gamma" },
474
    { LLM_TENSOR_POS_NET_CONV1,                          "posnet.%d.conv1" },
475
    { LLM_TENSOR_POS_NET_CONV2,                          "posnet.%d.conv2" },
476
    { LLM_TENSOR_POS_NET_NORM,                           "posnet.%d.norm" },
477
    { LLM_TENSOR_POS_NET_NORM1,                          "posnet.%d.norm1" },
478
    { LLM_TENSOR_POS_NET_NORM2,                          "posnet.%d.norm2" },
479
    { LLM_TENSOR_POS_NET_ATTN_NORM,                      "posnet.%d.attn_norm" },
480
    { LLM_TENSOR_POS_NET_ATTN_Q,                         "posnet.%d.attn_q" },
481
    { LLM_TENSOR_POS_NET_ATTN_K,                         "posnet.%d.attn_k" },
482
    { LLM_TENSOR_POS_NET_ATTN_V,                         "posnet.%d.attn_v" },
483
    { LLM_TENSOR_POS_NET_ATTN_OUT,                       "posnet.%d.attn_output" },
484
    { LLM_TENSOR_ATTN_SINKS,                             "blk.%d.attn_sinks" },
485
    { LLM_TENSOR_SHORTCONV_CONV,                         "blk.%d.shortconv.conv" },
486
    { LLM_TENSOR_SHORTCONV_INPROJ,                       "blk.%d.shortconv.in_proj" },
487
    { LLM_TENSOR_SHORTCONV_OUTPROJ,                      "blk.%d.shortconv.out_proj" },
488
    { LLM_TENSOR_FFN_GATE_CHEXPS,                        "blk.%d.ffn_gate_chexps" },
489
    { LLM_TENSOR_FFN_DOWN_CHEXPS,                        "blk.%d.ffn_down_chexps" },
490
    { LLM_TENSOR_FFN_UP_CHEXPS,                          "blk.%d.ffn_up_chexps" },
491
    { LLM_TENSOR_VISEXP_ATTN_QKV,                        "blk.%d.vis_attn_qkv" },
492
    { LLM_TENSOR_VISEXP_ATTN_OUT,                        "blk.%d.vis_attn_output" },
493
    { LLM_TENSOR_VISEXP_FFN_GATE,                        "blk.%d.vis_gate" },
494
    { LLM_TENSOR_VISEXP_FFN_DOWN,                        "blk.%d.vis_down" },
495
    { LLM_TENSOR_VISEXP_FFN_UP,                          "blk.%d.vis_up" },
496
};
497
498
0
static std::set<llm_tensor> llm_get_tensor_names(llm_arch arch) {
499
0
    switch (arch) {
500
0
        case LLM_ARCH_CLIP:
501
0
            return {};
502
0
        case LLM_ARCH_LLAMA:
503
0
        case LLM_ARCH_DECI:
504
0
        case LLM_ARCH_MISTRAL3:
505
0
        case LLM_ARCH_LLAMA_EMBED:
506
0
            return {
507
0
                LLM_TENSOR_TOKEN_EMBD,
508
0
                LLM_TENSOR_OUTPUT_NORM,
509
0
                LLM_TENSOR_OUTPUT,
510
0
                LLM_TENSOR_ROPE_FREQS,
511
0
                LLM_TENSOR_ATTN_NORM,
512
0
                LLM_TENSOR_ATTN_Q,
513
0
                LLM_TENSOR_ATTN_K,
514
0
                LLM_TENSOR_ATTN_V,
515
0
                LLM_TENSOR_ATTN_OUT,
516
0
                LLM_TENSOR_ATTN_ROT_EMBD,
517
0
                LLM_TENSOR_FFN_GATE_INP,
518
0
                LLM_TENSOR_FFN_NORM,
519
0
                LLM_TENSOR_FFN_GATE,
520
0
                LLM_TENSOR_FFN_DOWN,
521
0
                LLM_TENSOR_FFN_UP,
522
0
                LLM_TENSOR_FFN_GATE_EXP,
523
0
                LLM_TENSOR_FFN_DOWN_EXP,
524
0
                LLM_TENSOR_FFN_UP_EXP,
525
0
                LLM_TENSOR_FFN_GATE_EXPS,
526
0
                LLM_TENSOR_FFN_DOWN_EXPS,
527
0
                LLM_TENSOR_FFN_UP_EXPS,
528
0
            };
529
0
        case LLM_ARCH_ARCEE:
530
0
        case LLM_ARCH_STARCODER2:
531
0
        case LLM_ARCH_NEMOTRON:
532
0
            return {
533
0
                LLM_TENSOR_TOKEN_EMBD,
534
0
                LLM_TENSOR_OUTPUT_NORM,
535
0
                LLM_TENSOR_OUTPUT,
536
0
                LLM_TENSOR_ROPE_FREQS,
537
0
                LLM_TENSOR_ATTN_NORM,
538
0
                LLM_TENSOR_ATTN_Q,
539
0
                LLM_TENSOR_ATTN_K,
540
0
                LLM_TENSOR_ATTN_V,
541
0
                LLM_TENSOR_ATTN_OUT,
542
0
                LLM_TENSOR_ATTN_ROT_EMBD,
543
0
                LLM_TENSOR_FFN_NORM,
544
0
                LLM_TENSOR_FFN_DOWN,
545
0
                LLM_TENSOR_FFN_UP,
546
0
            };
547
0
        case LLM_ARCH_AFMOE:
548
0
            return {
549
0
                LLM_TENSOR_TOKEN_EMBD,
550
0
                LLM_TENSOR_OUTPUT_NORM,
551
0
                LLM_TENSOR_OUTPUT,
552
0
                LLM_TENSOR_ATTN_NORM,
553
0
                LLM_TENSOR_ATTN_POST_NORM,
554
0
                LLM_TENSOR_ATTN_Q,
555
0
                LLM_TENSOR_ATTN_K,
556
0
                LLM_TENSOR_ATTN_V,
557
0
                LLM_TENSOR_ATTN_OUT,
558
0
                LLM_TENSOR_ATTN_Q_NORM,
559
0
                LLM_TENSOR_ATTN_K_NORM,
560
0
                LLM_TENSOR_ATTN_GATE,
561
0
                LLM_TENSOR_FFN_NORM,
562
0
                LLM_TENSOR_FFN_POST_NORM,
563
0
                LLM_TENSOR_FFN_GATE_INP,
564
0
                LLM_TENSOR_FFN_GATE,
565
0
                LLM_TENSOR_FFN_DOWN,
566
0
                LLM_TENSOR_FFN_UP,
567
0
                LLM_TENSOR_FFN_GATE_EXPS,
568
0
                LLM_TENSOR_FFN_DOWN_EXPS,
569
0
                LLM_TENSOR_FFN_UP_EXPS,
570
0
                LLM_TENSOR_FFN_GATE_SHEXP,
571
0
                LLM_TENSOR_FFN_UP_SHEXP,
572
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
573
0
                LLM_TENSOR_FFN_EXP_PROBS_B,
574
0
            };
575
0
        case LLM_ARCH_LLAMA4:
576
0
            return {
577
0
                LLM_TENSOR_TOKEN_EMBD,
578
0
                LLM_TENSOR_OUTPUT_NORM,
579
0
                LLM_TENSOR_OUTPUT,
580
0
                LLM_TENSOR_ROPE_FREQS,
581
0
                LLM_TENSOR_ATTN_NORM,
582
0
                LLM_TENSOR_ATTN_Q,
583
0
                LLM_TENSOR_ATTN_K,
584
0
                LLM_TENSOR_ATTN_V,
585
0
                LLM_TENSOR_ATTN_OUT,
586
0
                LLM_TENSOR_ATTN_ROT_EMBD,
587
0
                LLM_TENSOR_FFN_GATE_INP,
588
0
                LLM_TENSOR_FFN_NORM,
589
0
                LLM_TENSOR_FFN_GATE,
590
0
                LLM_TENSOR_FFN_DOWN,
591
0
                LLM_TENSOR_FFN_UP,
592
0
                LLM_TENSOR_FFN_GATE_EXP,
593
0
                LLM_TENSOR_FFN_DOWN_EXP,
594
0
                LLM_TENSOR_FFN_UP_EXP,
595
0
                LLM_TENSOR_FFN_GATE_EXPS,
596
0
                LLM_TENSOR_FFN_DOWN_EXPS,
597
0
                LLM_TENSOR_FFN_UP_EXPS,
598
0
                LLM_TENSOR_FFN_GATE_SHEXP,
599
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
600
0
                LLM_TENSOR_FFN_UP_SHEXP,
601
0
            };
602
0
        case LLM_ARCH_BAICHUAN:
603
0
        case LLM_ARCH_ORION:
604
0
        case LLM_ARCH_XVERSE:
605
0
        case LLM_ARCH_EXAONE:
606
0
            return {
607
0
                LLM_TENSOR_TOKEN_EMBD,
608
0
                LLM_TENSOR_OUTPUT_NORM,
609
0
                LLM_TENSOR_OUTPUT,
610
0
                LLM_TENSOR_ROPE_FREQS,
611
0
                LLM_TENSOR_ATTN_NORM,
612
0
                LLM_TENSOR_ATTN_Q,
613
0
                LLM_TENSOR_ATTN_K,
614
0
                LLM_TENSOR_ATTN_V,
615
0
                LLM_TENSOR_ATTN_OUT,
616
0
                LLM_TENSOR_ATTN_ROT_EMBD,
617
0
                LLM_TENSOR_FFN_NORM,
618
0
                LLM_TENSOR_FFN_GATE,
619
0
                LLM_TENSOR_FFN_DOWN,
620
0
                LLM_TENSOR_FFN_UP,
621
0
            };
622
0
        case LLM_ARCH_FALCON:
623
0
            return {
624
0
                LLM_TENSOR_TOKEN_EMBD,
625
0
                LLM_TENSOR_OUTPUT_NORM,
626
0
                LLM_TENSOR_OUTPUT,
627
0
                LLM_TENSOR_ATTN_NORM,
628
0
                LLM_TENSOR_ATTN_NORM_2,
629
0
                LLM_TENSOR_ATTN_QKV,
630
0
                LLM_TENSOR_ATTN_OUT,
631
0
                LLM_TENSOR_FFN_DOWN,
632
0
                LLM_TENSOR_FFN_UP,
633
0
            };
634
0
        case LLM_ARCH_GROK:
635
0
            return {
636
0
                LLM_TENSOR_TOKEN_EMBD,
637
0
                LLM_TENSOR_OUTPUT_NORM,
638
0
                LLM_TENSOR_OUTPUT,
639
0
                LLM_TENSOR_ROPE_FREQS,
640
0
                LLM_TENSOR_ATTN_NORM,
641
0
                LLM_TENSOR_ATTN_Q,
642
0
                LLM_TENSOR_ATTN_K,
643
0
                LLM_TENSOR_ATTN_V,
644
0
                LLM_TENSOR_ATTN_OUT,
645
0
                LLM_TENSOR_ATTN_ROT_EMBD,
646
0
                LLM_TENSOR_FFN_GATE_INP,
647
0
                LLM_TENSOR_FFN_NORM,
648
0
                LLM_TENSOR_FFN_GATE,
649
0
                LLM_TENSOR_FFN_DOWN,
650
0
                LLM_TENSOR_FFN_UP,
651
0
                LLM_TENSOR_FFN_GATE_EXP,
652
0
                LLM_TENSOR_FFN_DOWN_EXP,
653
0
                LLM_TENSOR_FFN_UP_EXP,
654
0
                LLM_TENSOR_FFN_GATE_EXPS,
655
0
                LLM_TENSOR_FFN_DOWN_EXPS,
656
0
                LLM_TENSOR_FFN_UP_EXPS,
657
0
                LLM_TENSOR_FFN_POST_NORM,
658
0
                LLM_TENSOR_LAYER_OUT_NORM,
659
0
                LLM_TENSOR_ATTN_OUT_NORM,
660
0
            };
661
0
        case LLM_ARCH_GPT2:
662
0
        case LLM_ARCH_STARCODER:
663
0
            return {
664
0
                LLM_TENSOR_TOKEN_EMBD,
665
0
                LLM_TENSOR_POS_EMBD,
666
0
                LLM_TENSOR_OUTPUT_NORM,
667
0
                LLM_TENSOR_OUTPUT,
668
0
                LLM_TENSOR_ATTN_NORM,
669
0
                LLM_TENSOR_ATTN_QKV,
670
0
                LLM_TENSOR_ATTN_OUT,
671
0
                LLM_TENSOR_FFN_NORM,
672
0
                LLM_TENSOR_FFN_UP,
673
0
                LLM_TENSOR_FFN_DOWN,
674
0
            };
675
0
        case LLM_ARCH_GPTNEOX:
676
0
            return {
677
0
                LLM_TENSOR_TOKEN_EMBD,
678
0
                LLM_TENSOR_OUTPUT_NORM,
679
0
                LLM_TENSOR_OUTPUT,
680
0
                LLM_TENSOR_ATTN_NORM,
681
0
                LLM_TENSOR_ATTN_QKV,
682
0
                LLM_TENSOR_ATTN_OUT,
683
0
                LLM_TENSOR_FFN_NORM,
684
0
                LLM_TENSOR_FFN_DOWN,
685
0
                LLM_TENSOR_FFN_UP,
686
0
            };
687
0
        case LLM_ARCH_MPT:
688
0
            return {
689
0
                LLM_TENSOR_TOKEN_EMBD,
690
0
                LLM_TENSOR_OUTPUT_NORM,
691
0
                LLM_TENSOR_OUTPUT,
692
0
                LLM_TENSOR_ATTN_NORM,
693
0
                LLM_TENSOR_FFN_NORM,
694
0
                LLM_TENSOR_ATTN_QKV,
695
0
                LLM_TENSOR_ATTN_OUT,
696
0
                LLM_TENSOR_FFN_DOWN,
697
0
                LLM_TENSOR_FFN_UP,
698
0
                LLM_TENSOR_FFN_ACT,
699
0
                LLM_TENSOR_POS_EMBD,
700
0
                LLM_TENSOR_ATTN_Q_NORM,
701
0
                LLM_TENSOR_ATTN_K_NORM,
702
0
            };
703
0
        case LLM_ARCH_REFACT:
704
0
        case LLM_ARCH_QWEN2:
705
0
        case LLM_ARCH_QWEN2VL:
706
0
        case LLM_ARCH_INTERNLM2:
707
0
        case LLM_ARCH_GRANITE:
708
0
        case LLM_ARCH_ERNIE4_5:
709
0
        case LLM_ARCH_SMOLLM3:
710
0
        case LLM_ARCH_DREAM:
711
0
        case LLM_ARCH_LLADA:
712
0
        case LLM_ARCH_PANGU_EMBED:
713
0
            return {
714
0
                LLM_TENSOR_TOKEN_EMBD,
715
0
                LLM_TENSOR_OUTPUT_NORM,
716
0
                LLM_TENSOR_OUTPUT,
717
0
                LLM_TENSOR_ATTN_NORM,
718
0
                LLM_TENSOR_ATTN_Q,
719
0
                LLM_TENSOR_ATTN_K,
720
0
                LLM_TENSOR_ATTN_V,
721
0
                LLM_TENSOR_ATTN_OUT,
722
0
                LLM_TENSOR_FFN_NORM,
723
0
                LLM_TENSOR_FFN_GATE,
724
0
                LLM_TENSOR_FFN_DOWN,
725
0
                LLM_TENSOR_FFN_UP,
726
0
            };
727
0
        case LLM_ARCH_BERT:
728
0
            return {
729
0
                LLM_TENSOR_TOKEN_EMBD,
730
0
                LLM_TENSOR_TOKEN_EMBD_NORM,
731
0
                LLM_TENSOR_TOKEN_TYPES,
732
0
                LLM_TENSOR_POS_EMBD,
733
0
                LLM_TENSOR_ATTN_OUT_NORM,
734
0
                LLM_TENSOR_ATTN_QKV,
735
0
                LLM_TENSOR_ATTN_Q,
736
0
                LLM_TENSOR_ATTN_K,
737
0
                LLM_TENSOR_ATTN_V,
738
0
                LLM_TENSOR_ATTN_OUT,
739
0
                LLM_TENSOR_LAYER_OUT_NORM,
740
0
                LLM_TENSOR_FFN_DOWN,
741
0
                LLM_TENSOR_FFN_UP,
742
0
                LLM_TENSOR_CLS,
743
0
                LLM_TENSOR_CLS_OUT,
744
0
            };
745
0
        case LLM_ARCH_NOMIC_BERT:
746
0
            return {
747
0
                LLM_TENSOR_TOKEN_EMBD,
748
0
                LLM_TENSOR_TOKEN_EMBD_NORM,
749
0
                LLM_TENSOR_TOKEN_TYPES,
750
0
                LLM_TENSOR_ATTN_OUT_NORM,
751
0
                LLM_TENSOR_ATTN_QKV,
752
0
                LLM_TENSOR_ATTN_OUT,
753
0
                LLM_TENSOR_LAYER_OUT_NORM,
754
0
                LLM_TENSOR_FFN_GATE,
755
0
                LLM_TENSOR_FFN_DOWN,
756
0
                LLM_TENSOR_FFN_UP,
757
0
            };
758
0
        case LLM_ARCH_NOMIC_BERT_MOE:
759
0
            return {
760
0
                LLM_TENSOR_TOKEN_EMBD,
761
0
                LLM_TENSOR_TOKEN_EMBD_NORM,
762
0
                LLM_TENSOR_TOKEN_TYPES,
763
0
                LLM_TENSOR_ATTN_OUT_NORM,
764
0
                LLM_TENSOR_ATTN_QKV,
765
0
                LLM_TENSOR_ATTN_OUT,
766
0
                LLM_TENSOR_LAYER_OUT_NORM,
767
0
                LLM_TENSOR_FFN_GATE,
768
0
                LLM_TENSOR_FFN_DOWN,
769
0
                LLM_TENSOR_FFN_UP,
770
0
                LLM_TENSOR_FFN_GATE_INP,
771
0
                LLM_TENSOR_FFN_DOWN_EXPS,
772
0
                LLM_TENSOR_FFN_UP_EXPS,
773
0
            };
774
0
        case LLM_ARCH_NEO_BERT:
775
0
            return {
776
0
                LLM_TENSOR_TOKEN_EMBD,
777
0
                LLM_TENSOR_ATTN_NORM,
778
0
                LLM_TENSOR_ATTN_QKV,
779
0
                LLM_TENSOR_ATTN_OUT,
780
0
                LLM_TENSOR_FFN_NORM,
781
0
                LLM_TENSOR_FFN_DOWN,
782
0
                LLM_TENSOR_FFN_UP,
783
0
                LLM_TENSOR_ENC_OUTPUT_NORM,
784
0
                LLM_TENSOR_CLS,
785
0
                LLM_TENSOR_CLS_OUT,
786
0
            };
787
0
        case LLM_ARCH_MODERN_BERT:
788
0
            return {
789
0
                LLM_TENSOR_TOKEN_EMBD,
790
0
                LLM_TENSOR_TOKEN_EMBD_NORM,
791
0
                LLM_TENSOR_OUTPUT_NORM,
792
0
                LLM_TENSOR_ATTN_NORM,
793
0
                LLM_TENSOR_ATTN_OUT,
794
0
                LLM_TENSOR_ATTN_QKV,
795
0
                LLM_TENSOR_FFN_DOWN,
796
0
                LLM_TENSOR_FFN_UP,
797
0
                LLM_TENSOR_FFN_NORM,
798
0
                LLM_TENSOR_CLS,
799
0
                LLM_TENSOR_CLS_OUT,
800
0
            };
801
0
        case LLM_ARCH_JINA_BERT_V2:
802
0
            return {
803
0
                LLM_TENSOR_TOKEN_EMBD,
804
0
                LLM_TENSOR_TOKEN_EMBD_NORM,
805
0
                LLM_TENSOR_TOKEN_TYPES,
806
0
                LLM_TENSOR_ATTN_NORM_2,
807
0
                LLM_TENSOR_ATTN_OUT_NORM,
808
0
                LLM_TENSOR_ATTN_Q,
809
0
                LLM_TENSOR_ATTN_Q_NORM,
810
0
                LLM_TENSOR_ATTN_K,
811
0
                LLM_TENSOR_ATTN_K_NORM,
812
0
                LLM_TENSOR_ATTN_V,
813
0
                LLM_TENSOR_ATTN_OUT,
814
0
                LLM_TENSOR_LAYER_OUT_NORM,
815
0
                LLM_TENSOR_FFN_DOWN,
816
0
                LLM_TENSOR_FFN_GATE,
817
0
                LLM_TENSOR_FFN_UP,
818
0
                LLM_TENSOR_CLS,
819
0
            };
820
0
        case LLM_ARCH_JINA_BERT_V3:
821
0
            return {
822
0
                LLM_TENSOR_TOKEN_EMBD,
823
0
                LLM_TENSOR_TOKEN_EMBD_NORM,
824
0
                LLM_TENSOR_TOKEN_TYPES,
825
0
                LLM_TENSOR_ATTN_OUT_NORM,
826
0
                LLM_TENSOR_ATTN_QKV,
827
0
                LLM_TENSOR_ATTN_OUT,
828
0
                LLM_TENSOR_FFN_DOWN,
829
0
                LLM_TENSOR_FFN_UP,
830
0
                LLM_TENSOR_LAYER_OUT_NORM,
831
0
            };
832
0
        case LLM_ARCH_BLOOM:
833
0
            return {
834
0
                LLM_TENSOR_TOKEN_EMBD,
835
0
                LLM_TENSOR_TOKEN_EMBD_NORM,
836
0
                LLM_TENSOR_OUTPUT_NORM,
837
0
                LLM_TENSOR_OUTPUT,
838
0
                LLM_TENSOR_ATTN_NORM,
839
0
                LLM_TENSOR_ATTN_QKV,
840
0
                LLM_TENSOR_ATTN_OUT,
841
0
                LLM_TENSOR_FFN_NORM,
842
0
                LLM_TENSOR_FFN_UP,
843
0
                LLM_TENSOR_FFN_DOWN,
844
0
            };
845
0
        case LLM_ARCH_STABLELM:
846
0
            return {
847
0
                LLM_TENSOR_TOKEN_EMBD,
848
0
                LLM_TENSOR_OUTPUT_NORM,
849
0
                LLM_TENSOR_OUTPUT,
850
0
                LLM_TENSOR_ROPE_FREQS,
851
0
                LLM_TENSOR_ATTN_NORM,
852
0
                LLM_TENSOR_ATTN_Q,
853
0
                LLM_TENSOR_ATTN_K,
854
0
                LLM_TENSOR_ATTN_V,
855
0
                LLM_TENSOR_ATTN_OUT,
856
0
                LLM_TENSOR_FFN_NORM,
857
0
                LLM_TENSOR_FFN_GATE,
858
0
                LLM_TENSOR_FFN_DOWN,
859
0
                LLM_TENSOR_FFN_UP,
860
0
                LLM_TENSOR_ATTN_Q_NORM,
861
0
                LLM_TENSOR_ATTN_K_NORM,
862
0
            };
863
0
        case LLM_ARCH_QWEN:
864
0
            return {
865
0
                LLM_TENSOR_TOKEN_EMBD,
866
0
                LLM_TENSOR_OUTPUT_NORM,
867
0
                LLM_TENSOR_OUTPUT,
868
0
                LLM_TENSOR_ROPE_FREQS,
869
0
                LLM_TENSOR_ATTN_NORM,
870
0
                LLM_TENSOR_ATTN_QKV,
871
0
                LLM_TENSOR_ATTN_OUT,
872
0
                LLM_TENSOR_FFN_NORM,
873
0
                LLM_TENSOR_FFN_GATE,
874
0
                LLM_TENSOR_FFN_DOWN,
875
0
                LLM_TENSOR_FFN_UP,
876
0
            };
877
0
        case LLM_ARCH_QWEN2MOE:
878
0
            return {
879
0
                LLM_TENSOR_TOKEN_EMBD,
880
0
                LLM_TENSOR_OUTPUT_NORM,
881
0
                LLM_TENSOR_OUTPUT,
882
0
                LLM_TENSOR_ATTN_NORM,
883
0
                LLM_TENSOR_ATTN_Q,
884
0
                LLM_TENSOR_ATTN_K,
885
0
                LLM_TENSOR_ATTN_V,
886
0
                LLM_TENSOR_ATTN_OUT,
887
0
                LLM_TENSOR_FFN_NORM,
888
0
                LLM_TENSOR_FFN_GATE_INP,
889
0
                LLM_TENSOR_FFN_GATE_EXPS,
890
0
                LLM_TENSOR_FFN_DOWN_EXPS,
891
0
                LLM_TENSOR_FFN_UP_EXPS,
892
0
                LLM_TENSOR_FFN_GATE_INP_SHEXP,
893
0
                LLM_TENSOR_FFN_GATE_SHEXP,
894
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
895
0
                LLM_TENSOR_FFN_UP_SHEXP,
896
0
            };
897
0
        case LLM_ARCH_QWEN3:
898
0
            return {
899
0
                LLM_TENSOR_TOKEN_EMBD,
900
0
                LLM_TENSOR_OUTPUT_NORM,
901
0
                LLM_TENSOR_OUTPUT,
902
0
                LLM_TENSOR_CLS_OUT,
903
0
                LLM_TENSOR_ATTN_NORM,
904
0
                LLM_TENSOR_ATTN_Q,
905
0
                LLM_TENSOR_ATTN_Q_NORM,
906
0
                LLM_TENSOR_ATTN_K,
907
0
                LLM_TENSOR_ATTN_K_NORM,
908
0
                LLM_TENSOR_ATTN_V,
909
0
                LLM_TENSOR_ATTN_OUT,
910
0
                LLM_TENSOR_FFN_NORM,
911
0
                LLM_TENSOR_FFN_GATE,
912
0
                LLM_TENSOR_FFN_DOWN,
913
0
                LLM_TENSOR_FFN_UP,
914
0
            };
915
0
        case LLM_ARCH_QWEN3MOE:
916
0
        case LLM_ARCH_QWEN3VLMOE:
917
0
        case LLM_ARCH_OLMOE:
918
0
        case LLM_ARCH_LLADA_MOE:
919
0
        case LLM_ARCH_RND1:
920
0
            return {
921
0
                LLM_TENSOR_TOKEN_EMBD,
922
0
                LLM_TENSOR_OUTPUT_NORM,
923
0
                LLM_TENSOR_OUTPUT,
924
0
                LLM_TENSOR_ATTN_NORM,
925
0
                LLM_TENSOR_ATTN_Q,
926
0
                LLM_TENSOR_ATTN_Q_NORM,
927
0
                LLM_TENSOR_ATTN_K,
928
0
                LLM_TENSOR_ATTN_K_NORM,
929
0
                LLM_TENSOR_ATTN_V,
930
0
                LLM_TENSOR_ATTN_OUT,
931
0
                LLM_TENSOR_FFN_NORM,
932
0
                LLM_TENSOR_FFN_GATE_INP,
933
0
                LLM_TENSOR_FFN_GATE_EXPS,
934
0
                LLM_TENSOR_FFN_DOWN_EXPS,
935
0
                LLM_TENSOR_FFN_UP_EXPS,
936
0
            };
937
0
        case LLM_ARCH_QWEN3NEXT:
938
0
            return {
939
0
                LLM_TENSOR_TOKEN_EMBD,
940
0
                LLM_TENSOR_OUTPUT_NORM,
941
0
                LLM_TENSOR_OUTPUT,
942
0
                LLM_TENSOR_ATTN_NORM,
943
0
                LLM_TENSOR_ATTN_POST_NORM,
944
0
                LLM_TENSOR_ATTN_Q,
945
0
                LLM_TENSOR_ATTN_Q_NORM,
946
0
                LLM_TENSOR_ATTN_K,
947
0
                LLM_TENSOR_ATTN_K_NORM,
948
0
                LLM_TENSOR_ATTN_V,
949
0
                LLM_TENSOR_ATTN_OUT,
950
0
                LLM_TENSOR_FFN_NORM,
951
0
                LLM_TENSOR_FFN_GATE_INP,
952
0
                LLM_TENSOR_FFN_GATE_EXPS,
953
0
                LLM_TENSOR_FFN_DOWN_EXPS,
954
0
                LLM_TENSOR_FFN_UP_EXPS,
955
0
                LLM_TENSOR_FFN_GATE_INP_SHEXP,
956
0
                LLM_TENSOR_FFN_GATE_SHEXP,
957
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
958
0
                LLM_TENSOR_FFN_UP_SHEXP,
959
0
                LLM_TENSOR_SSM_A_NOSCAN,
960
0
                LLM_TENSOR_SSM_CONV1D,
961
0
                LLM_TENSOR_SSM_DT,
962
0
                LLM_TENSOR_SSM_BETA_ALPHA,
963
0
                LLM_TENSOR_SSM_IN,
964
0
                LLM_TENSOR_SSM_NORM,
965
0
                LLM_TENSOR_SSM_OUT,
966
0
            };
967
0
        case LLM_ARCH_QWEN3VL:
968
0
        case LLM_ARCH_CHAMELEON:
969
0
        case LLM_ARCH_HUNYUAN_DENSE:
970
0
            return {
971
0
                LLM_TENSOR_TOKEN_EMBD,
972
0
                LLM_TENSOR_OUTPUT_NORM,
973
0
                LLM_TENSOR_OUTPUT,
974
0
                LLM_TENSOR_ATTN_NORM,
975
0
                LLM_TENSOR_ATTN_Q,
976
0
                LLM_TENSOR_ATTN_Q_NORM,
977
0
                LLM_TENSOR_ATTN_K,
978
0
                LLM_TENSOR_ATTN_K_NORM,
979
0
                LLM_TENSOR_ATTN_V,
980
0
                LLM_TENSOR_ATTN_OUT,
981
0
                LLM_TENSOR_FFN_NORM,
982
0
                LLM_TENSOR_FFN_GATE,
983
0
                LLM_TENSOR_FFN_DOWN,
984
0
                LLM_TENSOR_FFN_UP,
985
0
            };
986
0
        case LLM_ARCH_PHI2:
987
0
            return {
988
0
                LLM_TENSOR_TOKEN_EMBD,
989
0
                LLM_TENSOR_OUTPUT_NORM,
990
0
                LLM_TENSOR_OUTPUT,
991
0
                LLM_TENSOR_ATTN_NORM,
992
0
                LLM_TENSOR_ATTN_QKV,
993
0
                LLM_TENSOR_ATTN_Q,
994
0
                LLM_TENSOR_ATTN_K,
995
0
                LLM_TENSOR_ATTN_V,
996
0
                LLM_TENSOR_ATTN_OUT,
997
0
                LLM_TENSOR_FFN_DOWN,
998
0
                LLM_TENSOR_FFN_UP,
999
0
            };
1000
0
        case LLM_ARCH_PHI3:
1001
0
            return {
1002
0
                LLM_TENSOR_TOKEN_EMBD,
1003
0
                LLM_TENSOR_OUTPUT_NORM,
1004
0
                LLM_TENSOR_OUTPUT,
1005
0
                LLM_TENSOR_ROPE_FACTORS_LONG,
1006
0
                LLM_TENSOR_ROPE_FACTORS_SHORT,
1007
0
                LLM_TENSOR_ATTN_NORM,
1008
0
                LLM_TENSOR_ATTN_QKV,
1009
0
                LLM_TENSOR_ATTN_Q,
1010
0
                LLM_TENSOR_ATTN_K,
1011
0
                LLM_TENSOR_ATTN_V,
1012
0
                LLM_TENSOR_ATTN_OUT,
1013
0
                LLM_TENSOR_FFN_NORM,
1014
0
                LLM_TENSOR_FFN_DOWN,
1015
0
                LLM_TENSOR_FFN_UP,
1016
0
            };
1017
0
        case LLM_ARCH_PHIMOE:
1018
0
            return {
1019
0
                LLM_TENSOR_TOKEN_EMBD,
1020
0
                LLM_TENSOR_OUTPUT_NORM,
1021
0
                LLM_TENSOR_OUTPUT,
1022
0
                LLM_TENSOR_ROPE_FACTORS_LONG,
1023
0
                LLM_TENSOR_ROPE_FACTORS_SHORT,
1024
0
                LLM_TENSOR_ATTN_NORM,
1025
0
                LLM_TENSOR_ATTN_QKV,
1026
0
                LLM_TENSOR_ATTN_Q,
1027
0
                LLM_TENSOR_ATTN_K,
1028
0
                LLM_TENSOR_ATTN_V,
1029
0
                LLM_TENSOR_ATTN_OUT,
1030
0
                LLM_TENSOR_FFN_NORM,
1031
0
                LLM_TENSOR_FFN_GATE_INP,
1032
0
                LLM_TENSOR_FFN_GATE_EXPS,
1033
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1034
0
                LLM_TENSOR_FFN_UP_EXPS,
1035
0
            };
1036
0
        case LLM_ARCH_PLAMO:
1037
0
            return {
1038
0
                LLM_TENSOR_TOKEN_EMBD,
1039
0
                LLM_TENSOR_OUTPUT_NORM,
1040
0
                LLM_TENSOR_OUTPUT,
1041
0
                LLM_TENSOR_ROPE_FREQS,
1042
0
                LLM_TENSOR_ATTN_NORM,
1043
0
                LLM_TENSOR_ATTN_Q,
1044
0
                LLM_TENSOR_ATTN_K,
1045
0
                LLM_TENSOR_ATTN_V,
1046
0
                LLM_TENSOR_ATTN_OUT,
1047
0
                LLM_TENSOR_ATTN_ROT_EMBD,
1048
0
                LLM_TENSOR_FFN_GATE,
1049
0
                LLM_TENSOR_FFN_DOWN,
1050
0
                LLM_TENSOR_FFN_UP,
1051
0
            };
1052
0
        case LLM_ARCH_PLAMO2:
1053
0
            return {
1054
0
                LLM_TENSOR_TOKEN_EMBD,
1055
0
                LLM_TENSOR_OUTPUT_NORM,
1056
0
                LLM_TENSOR_OUTPUT,
1057
0
                LLM_TENSOR_ROPE_FREQS,
1058
0
                LLM_TENSOR_ATTN_NORM,
1059
0
                LLM_TENSOR_ATTN_QKV,
1060
0
                LLM_TENSOR_ATTN_Q_NORM,
1061
0
                LLM_TENSOR_ATTN_K_NORM,
1062
0
                LLM_TENSOR_ATTN_OUT,
1063
0
                LLM_TENSOR_ATTN_ROT_EMBD,
1064
0
                LLM_TENSOR_FFN_NORM,
1065
0
                LLM_TENSOR_FFN_DOWN,
1066
0
                LLM_TENSOR_FFN_UP,
1067
0
                LLM_TENSOR_SSM_IN,
1068
0
                LLM_TENSOR_SSM_CONV1D,
1069
0
                LLM_TENSOR_SSM_X,
1070
0
                LLM_TENSOR_SSM_DT,
1071
0
                LLM_TENSOR_SSM_A,
1072
0
                LLM_TENSOR_SSM_D,
1073
0
                LLM_TENSOR_SSM_OUT,
1074
0
                LLM_TENSOR_SSM_DT_NORM,
1075
0
                LLM_TENSOR_SSM_B_NORM,
1076
0
                LLM_TENSOR_SSM_C_NORM,
1077
0
                LLM_TENSOR_ATTN_POST_NORM,
1078
0
                LLM_TENSOR_FFN_POST_NORM,
1079
0
            };
1080
0
        case LLM_ARCH_CODESHELL:
1081
0
            return {
1082
0
                LLM_TENSOR_TOKEN_EMBD,
1083
0
                LLM_TENSOR_OUTPUT_NORM,
1084
0
                LLM_TENSOR_OUTPUT,
1085
0
                LLM_TENSOR_ROPE_FREQS,
1086
0
                LLM_TENSOR_ATTN_NORM,
1087
0
                LLM_TENSOR_ATTN_Q,
1088
0
                LLM_TENSOR_ATTN_K,
1089
0
                LLM_TENSOR_ATTN_V,
1090
0
                LLM_TENSOR_ATTN_QKV,
1091
0
                LLM_TENSOR_ATTN_OUT,
1092
0
                LLM_TENSOR_ATTN_ROT_EMBD,
1093
0
                LLM_TENSOR_FFN_NORM,
1094
0
                LLM_TENSOR_FFN_GATE,
1095
0
                LLM_TENSOR_FFN_DOWN,
1096
0
                LLM_TENSOR_FFN_UP,
1097
0
            };
1098
0
        case LLM_ARCH_MINICPM:
1099
0
            return {
1100
0
                LLM_TENSOR_TOKEN_EMBD,
1101
0
                LLM_TENSOR_OUTPUT_NORM,
1102
0
                LLM_TENSOR_OUTPUT,
1103
0
                LLM_TENSOR_ROPE_FREQS,
1104
0
                LLM_TENSOR_ROPE_FACTORS_LONG,
1105
0
                LLM_TENSOR_ROPE_FACTORS_SHORT,
1106
0
                LLM_TENSOR_ATTN_NORM,
1107
0
                LLM_TENSOR_ATTN_Q,
1108
0
                LLM_TENSOR_ATTN_K,
1109
0
                LLM_TENSOR_ATTN_V,
1110
0
                LLM_TENSOR_ATTN_OUT,
1111
0
                LLM_TENSOR_ATTN_ROT_EMBD,
1112
0
                LLM_TENSOR_FFN_GATE_INP,
1113
0
                LLM_TENSOR_FFN_NORM,
1114
0
                LLM_TENSOR_FFN_GATE,
1115
0
                LLM_TENSOR_FFN_DOWN,
1116
0
                LLM_TENSOR_FFN_UP,
1117
0
                LLM_TENSOR_FFN_GATE_EXP,
1118
0
                LLM_TENSOR_FFN_DOWN_EXP,
1119
0
                LLM_TENSOR_FFN_UP_EXP,
1120
0
            };
1121
0
        case LLM_ARCH_MINICPM3:
1122
0
            return {
1123
0
                LLM_TENSOR_TOKEN_EMBD,
1124
0
                LLM_TENSOR_OUTPUT_NORM,
1125
0
                LLM_TENSOR_OUTPUT,
1126
0
                LLM_TENSOR_ROPE_FACTORS_LONG,
1127
0
                LLM_TENSOR_ROPE_FACTORS_SHORT,
1128
0
                LLM_TENSOR_ATTN_NORM,
1129
0
                LLM_TENSOR_ATTN_Q_A_NORM,
1130
0
                LLM_TENSOR_ATTN_KV_A_NORM,
1131
0
                LLM_TENSOR_ATTN_Q,
1132
0
                LLM_TENSOR_ATTN_Q_A,
1133
0
                LLM_TENSOR_ATTN_Q_B,
1134
0
                LLM_TENSOR_ATTN_KV_A_MQA,
1135
0
                LLM_TENSOR_ATTN_KV_B,
1136
0
                LLM_TENSOR_ATTN_OUT,
1137
0
                LLM_TENSOR_FFN_NORM,
1138
0
                LLM_TENSOR_FFN_GATE,
1139
0
                LLM_TENSOR_FFN_UP,
1140
0
                LLM_TENSOR_FFN_DOWN,
1141
0
            };
1142
0
        case LLM_ARCH_GEMMA:
1143
0
            return {
1144
0
                LLM_TENSOR_TOKEN_EMBD,
1145
0
                LLM_TENSOR_OUTPUT_NORM,
1146
0
                LLM_TENSOR_ATTN_NORM,
1147
0
                LLM_TENSOR_ATTN_Q,
1148
0
                LLM_TENSOR_ATTN_K,
1149
0
                LLM_TENSOR_ATTN_V,
1150
0
                LLM_TENSOR_ATTN_OUT,
1151
0
                LLM_TENSOR_FFN_NORM,
1152
0
                LLM_TENSOR_FFN_GATE,
1153
0
                LLM_TENSOR_FFN_DOWN,
1154
0
                LLM_TENSOR_FFN_UP,
1155
0
            };
1156
0
        case LLM_ARCH_GEMMA2:
1157
0
            return {
1158
0
                LLM_TENSOR_TOKEN_EMBD,
1159
0
                LLM_TENSOR_OUTPUT_NORM,
1160
0
                LLM_TENSOR_ATTN_NORM,
1161
0
                LLM_TENSOR_ATTN_Q,
1162
0
                LLM_TENSOR_ATTN_K,
1163
0
                LLM_TENSOR_ATTN_V,
1164
0
                LLM_TENSOR_ATTN_OUT,
1165
0
                LLM_TENSOR_ATTN_POST_NORM,
1166
0
                LLM_TENSOR_FFN_NORM,
1167
0
                LLM_TENSOR_FFN_GATE,
1168
0
                LLM_TENSOR_FFN_DOWN,
1169
0
                LLM_TENSOR_FFN_UP,
1170
0
                LLM_TENSOR_FFN_POST_NORM,
1171
0
            };
1172
0
        case LLM_ARCH_GEMMA3:
1173
0
            return {
1174
0
                LLM_TENSOR_TOKEN_EMBD,
1175
0
                LLM_TENSOR_OUTPUT_NORM,
1176
0
                LLM_TENSOR_OUTPUT,
1177
0
                LLM_TENSOR_ATTN_NORM,
1178
0
                LLM_TENSOR_ATTN_Q,
1179
0
                LLM_TENSOR_ATTN_Q_NORM,
1180
0
                LLM_TENSOR_ATTN_K,
1181
0
                LLM_TENSOR_ATTN_K_NORM,
1182
0
                LLM_TENSOR_ATTN_V,
1183
0
                LLM_TENSOR_ATTN_OUT,
1184
0
                LLM_TENSOR_ATTN_POST_NORM,
1185
0
                LLM_TENSOR_FFN_NORM,
1186
0
                LLM_TENSOR_FFN_GATE,
1187
0
                LLM_TENSOR_FFN_DOWN,
1188
0
                LLM_TENSOR_FFN_UP,
1189
0
                LLM_TENSOR_FFN_POST_NORM,
1190
0
            };
1191
0
        case LLM_ARCH_GEMMA3N:
1192
0
            return {
1193
0
                LLM_TENSOR_TOKEN_EMBD,
1194
0
                LLM_TENSOR_OUTPUT_NORM,
1195
0
                LLM_TENSOR_ATTN_NORM,
1196
0
                LLM_TENSOR_ATTN_Q,
1197
0
                LLM_TENSOR_ATTN_Q_NORM,
1198
0
                LLM_TENSOR_ATTN_K,
1199
0
                LLM_TENSOR_ATTN_K_NORM,
1200
0
                LLM_TENSOR_ATTN_V,
1201
0
                LLM_TENSOR_ATTN_OUT,
1202
0
                LLM_TENSOR_ATTN_POST_NORM,
1203
0
                LLM_TENSOR_FFN_NORM,
1204
0
                LLM_TENSOR_FFN_GATE,
1205
0
                LLM_TENSOR_FFN_DOWN,
1206
0
                LLM_TENSOR_FFN_UP,
1207
0
                LLM_TENSOR_FFN_POST_NORM,
1208
0
                LLM_TENSOR_PER_LAYER_TOKEN_EMBD,
1209
0
                LLM_TENSOR_PER_LAYER_MODEL_PROJ,
1210
0
                LLM_TENSOR_PER_LAYER_PROJ_NORM,
1211
0
                LLM_TENSOR_ALTUP_UNEMBD_PROJ,
1212
0
                LLM_TENSOR_ALTUP_PROJ,
1213
0
                LLM_TENSOR_PER_LAYER_INP_GATE,
1214
0
                LLM_TENSOR_PER_LAYER_PROJ,
1215
0
                LLM_TENSOR_PER_LAYER_POST_NORM,
1216
0
                LLM_TENSOR_ALTUP_CORRECT_COEF,
1217
0
                LLM_TENSOR_ALTUP_CORRECT_SCALE,
1218
0
                LLM_TENSOR_ALTUP_PREDICT_COEF,
1219
0
                LLM_TENSOR_ALTUP_ROUTER,
1220
0
                LLM_TENSOR_ALTUP_ROUTER_NORM,
1221
0
                LLM_TENSOR_LAUREL_L,
1222
0
                LLM_TENSOR_LAUREL_R,
1223
0
                LLM_TENSOR_LAUREL_POST_NORM,
1224
0
            };
1225
0
        case LLM_ARCH_GEMMA_EMBEDDING:
1226
0
            return {
1227
0
                LLM_TENSOR_TOKEN_EMBD,
1228
0
                LLM_TENSOR_OUTPUT_NORM,
1229
0
                LLM_TENSOR_OUTPUT,
1230
0
                LLM_TENSOR_DENSE_2_OUT,
1231
0
                LLM_TENSOR_DENSE_3_OUT,
1232
0
                LLM_TENSOR_ATTN_NORM,
1233
0
                LLM_TENSOR_ATTN_Q,
1234
0
                LLM_TENSOR_ATTN_Q_NORM,
1235
0
                LLM_TENSOR_ATTN_K,
1236
0
                LLM_TENSOR_ATTN_K_NORM,
1237
0
                LLM_TENSOR_ATTN_V,
1238
0
                LLM_TENSOR_ATTN_OUT,
1239
0
                LLM_TENSOR_ATTN_POST_NORM,
1240
0
                LLM_TENSOR_FFN_NORM,
1241
0
                LLM_TENSOR_FFN_GATE,
1242
0
                LLM_TENSOR_FFN_DOWN,
1243
0
                LLM_TENSOR_FFN_UP,
1244
0
                LLM_TENSOR_FFN_POST_NORM,
1245
0
            };
1246
0
        case LLM_ARCH_MAMBA:
1247
0
            return {
1248
0
                LLM_TENSOR_TOKEN_EMBD,
1249
0
                LLM_TENSOR_OUTPUT_NORM,
1250
0
                LLM_TENSOR_OUTPUT,
1251
0
                LLM_TENSOR_ATTN_NORM,
1252
0
                LLM_TENSOR_SSM_IN,
1253
0
                LLM_TENSOR_SSM_CONV1D,
1254
0
                LLM_TENSOR_SSM_X,
1255
0
                LLM_TENSOR_SSM_DT,
1256
0
                LLM_TENSOR_SSM_A,
1257
0
                LLM_TENSOR_SSM_D,
1258
0
                LLM_TENSOR_SSM_OUT,
1259
0
            };
1260
0
        case LLM_ARCH_MAMBA2:
1261
0
            return {
1262
0
                LLM_TENSOR_TOKEN_EMBD,
1263
0
                LLM_TENSOR_OUTPUT_NORM,
1264
0
                LLM_TENSOR_OUTPUT,
1265
0
                LLM_TENSOR_ATTN_NORM,
1266
0
                LLM_TENSOR_SSM_IN,
1267
0
                LLM_TENSOR_SSM_CONV1D,
1268
0
                LLM_TENSOR_SSM_DT,
1269
0
                LLM_TENSOR_SSM_A,
1270
0
                LLM_TENSOR_SSM_D,
1271
0
                LLM_TENSOR_SSM_NORM,
1272
0
                LLM_TENSOR_SSM_OUT,
1273
0
            };
1274
0
        case LLM_ARCH_JAMBA:
1275
0
            return {
1276
0
                LLM_TENSOR_TOKEN_EMBD,
1277
0
                LLM_TENSOR_OUTPUT_NORM,
1278
0
                LLM_TENSOR_OUTPUT,
1279
0
                LLM_TENSOR_ATTN_NORM,
1280
0
                LLM_TENSOR_SSM_IN,
1281
0
                LLM_TENSOR_SSM_CONV1D,
1282
0
                LLM_TENSOR_SSM_X,
1283
0
                LLM_TENSOR_SSM_DT,
1284
0
                LLM_TENSOR_SSM_DT_NORM,
1285
0
                LLM_TENSOR_SSM_A,
1286
0
                LLM_TENSOR_SSM_B_NORM,
1287
0
                LLM_TENSOR_SSM_C_NORM,
1288
0
                LLM_TENSOR_SSM_D,
1289
0
                LLM_TENSOR_SSM_OUT,
1290
0
                LLM_TENSOR_ATTN_Q,
1291
0
                LLM_TENSOR_ATTN_K,
1292
0
                LLM_TENSOR_ATTN_V,
1293
0
                LLM_TENSOR_ATTN_OUT,
1294
0
                LLM_TENSOR_FFN_GATE_INP,
1295
0
                LLM_TENSOR_FFN_NORM,
1296
0
                LLM_TENSOR_FFN_GATE,
1297
0
                LLM_TENSOR_FFN_DOWN,
1298
0
                LLM_TENSOR_FFN_UP,
1299
0
                LLM_TENSOR_FFN_GATE_EXPS,
1300
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1301
0
                LLM_TENSOR_FFN_UP_EXPS,
1302
0
            };
1303
0
        case LLM_ARCH_FALCON_H1:
1304
0
            return {
1305
0
                LLM_TENSOR_TOKEN_EMBD,
1306
0
                LLM_TENSOR_OUTPUT,
1307
0
                LLM_TENSOR_OUTPUT_NORM,
1308
0
                LLM_TENSOR_ATTN_NORM,
1309
0
                LLM_TENSOR_ATTN_Q,
1310
0
                LLM_TENSOR_ATTN_K,
1311
0
                LLM_TENSOR_ATTN_V,
1312
0
                LLM_TENSOR_ATTN_OUT,
1313
0
                LLM_TENSOR_SSM_IN,
1314
0
                LLM_TENSOR_SSM_CONV1D,
1315
0
                LLM_TENSOR_SSM_DT,
1316
0
                LLM_TENSOR_SSM_A,
1317
0
                LLM_TENSOR_SSM_D,
1318
0
                LLM_TENSOR_SSM_NORM,
1319
0
                LLM_TENSOR_SSM_OUT,
1320
0
                LLM_TENSOR_FFN_NORM,
1321
0
                LLM_TENSOR_FFN_GATE,
1322
0
                LLM_TENSOR_FFN_DOWN,
1323
0
                LLM_TENSOR_FFN_UP,
1324
0
            };
1325
0
        case LLM_ARCH_COMMAND_R:
1326
0
            return {
1327
0
                LLM_TENSOR_TOKEN_EMBD,
1328
0
                LLM_TENSOR_OUTPUT_NORM,
1329
0
                LLM_TENSOR_ATTN_NORM,
1330
0
                LLM_TENSOR_ATTN_Q,
1331
0
                LLM_TENSOR_ATTN_K,
1332
0
                LLM_TENSOR_ATTN_V,
1333
0
                LLM_TENSOR_ATTN_OUT,
1334
0
                LLM_TENSOR_FFN_GATE,
1335
0
                LLM_TENSOR_FFN_DOWN,
1336
0
                LLM_TENSOR_FFN_UP,
1337
0
                LLM_TENSOR_ATTN_Q_NORM,
1338
0
                LLM_TENSOR_ATTN_K_NORM,
1339
0
            };
1340
0
        case LLM_ARCH_COHERE2:
1341
0
            return {
1342
0
                LLM_TENSOR_TOKEN_EMBD,
1343
0
                LLM_TENSOR_OUTPUT_NORM,
1344
0
                LLM_TENSOR_ATTN_NORM,
1345
0
                LLM_TENSOR_ATTN_Q,
1346
0
                LLM_TENSOR_ATTN_K,
1347
0
                LLM_TENSOR_ATTN_V,
1348
0
                LLM_TENSOR_ATTN_OUT,
1349
0
                LLM_TENSOR_FFN_GATE,
1350
0
                LLM_TENSOR_FFN_DOWN,
1351
0
                LLM_TENSOR_FFN_UP,
1352
0
            };
1353
0
        case LLM_ARCH_DBRX:
1354
0
            return {
1355
0
                LLM_TENSOR_TOKEN_EMBD,
1356
0
                LLM_TENSOR_OUTPUT_NORM,
1357
0
                LLM_TENSOR_OUTPUT,
1358
0
                LLM_TENSOR_ATTN_QKV,
1359
0
                LLM_TENSOR_ATTN_NORM,
1360
0
                LLM_TENSOR_ATTN_OUT,
1361
0
                LLM_TENSOR_ATTN_OUT_NORM,
1362
0
                LLM_TENSOR_FFN_GATE_INP,
1363
0
                LLM_TENSOR_FFN_GATE_EXPS,
1364
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1365
0
                LLM_TENSOR_FFN_UP_EXPS,
1366
0
            };
1367
0
        case LLM_ARCH_OLMO:
1368
0
            return {
1369
0
                LLM_TENSOR_TOKEN_EMBD,
1370
0
                LLM_TENSOR_OUTPUT,
1371
0
                LLM_TENSOR_ATTN_Q,
1372
0
                LLM_TENSOR_ATTN_K,
1373
0
                LLM_TENSOR_ATTN_V,
1374
0
                LLM_TENSOR_ATTN_OUT,
1375
0
                LLM_TENSOR_FFN_GATE,
1376
0
                LLM_TENSOR_FFN_DOWN,
1377
0
                LLM_TENSOR_FFN_UP,
1378
0
            };
1379
0
        case LLM_ARCH_OLMO2:
1380
0
            return {
1381
0
                LLM_TENSOR_TOKEN_EMBD,
1382
0
                LLM_TENSOR_OUTPUT_NORM,
1383
0
                LLM_TENSOR_OUTPUT,
1384
0
                LLM_TENSOR_ATTN_Q,
1385
0
                LLM_TENSOR_ATTN_K,
1386
0
                LLM_TENSOR_ATTN_V,
1387
0
                LLM_TENSOR_ATTN_OUT,
1388
0
                LLM_TENSOR_ATTN_POST_NORM,
1389
0
                LLM_TENSOR_ATTN_Q_NORM,
1390
0
                LLM_TENSOR_ATTN_K_NORM,
1391
0
                LLM_TENSOR_FFN_POST_NORM,
1392
0
                LLM_TENSOR_FFN_GATE,
1393
0
                LLM_TENSOR_FFN_DOWN,
1394
0
                LLM_TENSOR_FFN_UP,
1395
0
            };
1396
0
        case LLM_ARCH_OPENELM:
1397
0
            return {
1398
0
                LLM_TENSOR_TOKEN_EMBD,
1399
0
                LLM_TENSOR_OUTPUT_NORM,
1400
0
                LLM_TENSOR_ATTN_NORM,
1401
0
                LLM_TENSOR_ATTN_QKV,
1402
0
                LLM_TENSOR_ATTN_Q_NORM,
1403
0
                LLM_TENSOR_ATTN_K_NORM,
1404
0
                LLM_TENSOR_ATTN_OUT,
1405
0
                LLM_TENSOR_FFN_NORM,
1406
0
                LLM_TENSOR_FFN_GATE,
1407
0
                LLM_TENSOR_FFN_DOWN,
1408
0
                LLM_TENSOR_FFN_UP,
1409
0
            };
1410
0
        case LLM_ARCH_ARCTIC:
1411
0
            return {
1412
0
                LLM_TENSOR_TOKEN_EMBD,
1413
0
                LLM_TENSOR_OUTPUT_NORM,
1414
0
                LLM_TENSOR_OUTPUT,
1415
0
                LLM_TENSOR_ATTN_NORM,
1416
0
                LLM_TENSOR_ATTN_Q,
1417
0
                LLM_TENSOR_ATTN_K,
1418
0
                LLM_TENSOR_ATTN_V,
1419
0
                LLM_TENSOR_ATTN_OUT,
1420
0
                LLM_TENSOR_FFN_GATE_INP,
1421
0
                LLM_TENSOR_FFN_NORM,
1422
0
                LLM_TENSOR_FFN_GATE,
1423
0
                LLM_TENSOR_FFN_DOWN,
1424
0
                LLM_TENSOR_FFN_UP,
1425
0
                LLM_TENSOR_FFN_NORM_EXPS,
1426
0
                LLM_TENSOR_FFN_GATE_EXPS,
1427
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1428
0
                LLM_TENSOR_FFN_UP_EXPS,
1429
0
            };
1430
0
        case LLM_ARCH_DEEPSEEK:
1431
0
            return {
1432
0
                LLM_TENSOR_TOKEN_EMBD,
1433
0
                LLM_TENSOR_OUTPUT_NORM,
1434
0
                LLM_TENSOR_OUTPUT,
1435
0
                LLM_TENSOR_ROPE_FREQS,
1436
0
                LLM_TENSOR_ATTN_NORM,
1437
0
                LLM_TENSOR_ATTN_Q,
1438
0
                LLM_TENSOR_ATTN_K,
1439
0
                LLM_TENSOR_ATTN_V,
1440
0
                LLM_TENSOR_ATTN_OUT,
1441
0
                LLM_TENSOR_ATTN_ROT_EMBD,
1442
0
                LLM_TENSOR_FFN_GATE_INP,
1443
0
                LLM_TENSOR_FFN_NORM,
1444
0
                LLM_TENSOR_FFN_GATE,
1445
0
                LLM_TENSOR_FFN_DOWN,
1446
0
                LLM_TENSOR_FFN_UP,
1447
0
                LLM_TENSOR_FFN_GATE_EXPS,
1448
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1449
0
                LLM_TENSOR_FFN_UP_EXPS,
1450
0
                LLM_TENSOR_FFN_GATE_INP_SHEXP,
1451
0
                LLM_TENSOR_FFN_GATE_SHEXP,
1452
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
1453
0
                LLM_TENSOR_FFN_UP_SHEXP,
1454
0
            };
1455
0
        case LLM_ARCH_DEEPSEEK2:
1456
0
            return {
1457
0
                LLM_TENSOR_TOKEN_EMBD,
1458
0
                LLM_TENSOR_OUTPUT_NORM,
1459
0
                LLM_TENSOR_OUTPUT,
1460
0
                LLM_TENSOR_ATTN_NORM,
1461
0
                LLM_TENSOR_ATTN_Q_A_NORM,
1462
0
                LLM_TENSOR_ATTN_KV_A_NORM,
1463
0
                LLM_TENSOR_ATTN_Q,
1464
0
                LLM_TENSOR_ATTN_Q_A,
1465
0
                LLM_TENSOR_ATTN_Q_B,
1466
0
                LLM_TENSOR_ATTN_KV_A_MQA,
1467
0
                LLM_TENSOR_ATTN_KV_B,
1468
0
                LLM_TENSOR_ATTN_K_B,
1469
0
                LLM_TENSOR_ATTN_V_B,
1470
0
                LLM_TENSOR_ATTN_OUT,
1471
0
                LLM_TENSOR_FFN_NORM,
1472
0
                LLM_TENSOR_FFN_GATE,
1473
0
                LLM_TENSOR_FFN_UP,
1474
0
                LLM_TENSOR_FFN_DOWN,
1475
0
                LLM_TENSOR_FFN_GATE_INP,
1476
0
                LLM_TENSOR_FFN_GATE_EXPS,
1477
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1478
0
                LLM_TENSOR_FFN_UP_EXPS,
1479
0
                LLM_TENSOR_FFN_GATE_INP_SHEXP,
1480
0
                LLM_TENSOR_FFN_GATE_SHEXP,
1481
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
1482
0
                LLM_TENSOR_FFN_UP_SHEXP,
1483
0
                LLM_TENSOR_FFN_EXP_PROBS_B,
1484
0
            };
1485
0
        case LLM_ARCH_PLM:
1486
0
            return {
1487
0
                LLM_TENSOR_TOKEN_EMBD,
1488
0
                LLM_TENSOR_OUTPUT_NORM,
1489
0
                LLM_TENSOR_ATTN_NORM,
1490
0
                LLM_TENSOR_ATTN_Q,
1491
0
                LLM_TENSOR_ATTN_KV_A_MQA,
1492
0
                LLM_TENSOR_ATTN_KV_A_NORM,
1493
0
                LLM_TENSOR_ATTN_KV_B,
1494
0
                LLM_TENSOR_ATTN_OUT,
1495
0
                LLM_TENSOR_FFN_NORM,
1496
0
                LLM_TENSOR_FFN_DOWN,
1497
0
                LLM_TENSOR_FFN_UP,
1498
0
            };
1499
0
        case LLM_ARCH_CHATGLM:
1500
0
            return {
1501
0
                LLM_TENSOR_TOKEN_EMBD,
1502
0
                LLM_TENSOR_ROPE_FREQS,
1503
0
                LLM_TENSOR_OUTPUT_NORM,
1504
0
                LLM_TENSOR_OUTPUT,
1505
0
                LLM_TENSOR_ATTN_NORM,
1506
0
                LLM_TENSOR_ATTN_QKV,
1507
0
                LLM_TENSOR_ATTN_Q,
1508
0
                LLM_TENSOR_ATTN_K,
1509
0
                LLM_TENSOR_ATTN_V,
1510
0
                LLM_TENSOR_ATTN_OUT,
1511
0
                LLM_TENSOR_FFN_NORM,
1512
0
                LLM_TENSOR_FFN_UP,
1513
0
                LLM_TENSOR_FFN_DOWN,
1514
0
            };
1515
0
        case LLM_ARCH_GLM4:
1516
0
            return {
1517
0
                LLM_TENSOR_TOKEN_EMBD,
1518
0
                LLM_TENSOR_ROPE_FREQS,
1519
0
                LLM_TENSOR_OUTPUT_NORM,
1520
0
                LLM_TENSOR_OUTPUT,
1521
0
                LLM_TENSOR_ATTN_NORM,
1522
0
                LLM_TENSOR_ATTN_Q,
1523
0
                LLM_TENSOR_ATTN_K,
1524
0
                LLM_TENSOR_ATTN_V,
1525
0
                LLM_TENSOR_ATTN_OUT,
1526
0
                LLM_TENSOR_FFN_NORM,
1527
0
                LLM_TENSOR_FFN_UP,
1528
0
                LLM_TENSOR_FFN_DOWN,
1529
0
                LLM_TENSOR_ATTN_POST_NORM,
1530
0
                LLM_TENSOR_FFN_POST_NORM,
1531
0
            };
1532
0
        case LLM_ARCH_GLM4_MOE:
1533
0
            return {
1534
0
                LLM_TENSOR_TOKEN_EMBD,
1535
0
                LLM_TENSOR_OUTPUT_NORM,
1536
0
                LLM_TENSOR_OUTPUT,
1537
0
                LLM_TENSOR_ATTN_NORM,
1538
0
                LLM_TENSOR_ATTN_POST_NORM,
1539
0
                LLM_TENSOR_ATTN_Q,
1540
0
                LLM_TENSOR_ATTN_K,
1541
0
                LLM_TENSOR_ATTN_V,
1542
0
                LLM_TENSOR_ATTN_OUT,
1543
0
                LLM_TENSOR_ATTN_Q_NORM,
1544
0
                LLM_TENSOR_ATTN_K_NORM,
1545
0
                LLM_TENSOR_FFN_GATE,
1546
0
                LLM_TENSOR_FFN_DOWN,
1547
0
                LLM_TENSOR_FFN_UP,
1548
0
                LLM_TENSOR_FFN_GATE_INP,
1549
0
                LLM_TENSOR_FFN_GATE_EXPS,
1550
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1551
0
                LLM_TENSOR_FFN_UP_EXPS,
1552
0
                LLM_TENSOR_FFN_GATE_SHEXP,
1553
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
1554
0
                LLM_TENSOR_FFN_UP_SHEXP,
1555
0
                LLM_TENSOR_FFN_EXP_PROBS_B,
1556
0
                LLM_TENSOR_NEXTN_EH_PROJ,
1557
0
                LLM_TENSOR_NEXTN_EMBED_TOKENS,
1558
0
                LLM_TENSOR_NEXTN_ENORM,
1559
0
                LLM_TENSOR_NEXTN_HNORM,
1560
0
                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
1561
0
                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
1562
0
            };
1563
0
        case LLM_ARCH_BITNET:
1564
0
            return {
1565
0
                LLM_TENSOR_TOKEN_EMBD,
1566
0
                LLM_TENSOR_OUTPUT_NORM,
1567
0
                LLM_TENSOR_ATTN_Q,
1568
0
                LLM_TENSOR_ATTN_K,
1569
0
                LLM_TENSOR_ATTN_V,
1570
0
                LLM_TENSOR_ATTN_OUT,
1571
0
                LLM_TENSOR_ATTN_NORM,
1572
0
                LLM_TENSOR_ATTN_SUB_NORM,
1573
0
                LLM_TENSOR_FFN_GATE,
1574
0
                LLM_TENSOR_FFN_DOWN,
1575
0
                LLM_TENSOR_FFN_UP,
1576
0
                LLM_TENSOR_FFN_NORM,
1577
0
                LLM_TENSOR_FFN_SUB_NORM,
1578
0
            };
1579
0
        case LLM_ARCH_T5:
1580
0
            return {
1581
0
                LLM_TENSOR_TOKEN_EMBD,
1582
0
                LLM_TENSOR_OUTPUT,
1583
0
                LLM_TENSOR_DEC_OUTPUT_NORM,
1584
0
                LLM_TENSOR_DEC_ATTN_NORM,
1585
0
                LLM_TENSOR_DEC_ATTN_Q,
1586
0
                LLM_TENSOR_DEC_ATTN_K,
1587
0
                LLM_TENSOR_DEC_ATTN_V,
1588
0
                LLM_TENSOR_DEC_ATTN_OUT,
1589
0
                LLM_TENSOR_DEC_ATTN_REL_B,
1590
0
                LLM_TENSOR_DEC_CROSS_ATTN_NORM,
1591
0
                LLM_TENSOR_DEC_CROSS_ATTN_Q,
1592
0
                LLM_TENSOR_DEC_CROSS_ATTN_K,
1593
0
                LLM_TENSOR_DEC_CROSS_ATTN_V,
1594
0
                LLM_TENSOR_DEC_CROSS_ATTN_OUT,
1595
0
                LLM_TENSOR_DEC_CROSS_ATTN_REL_B,
1596
0
                LLM_TENSOR_DEC_FFN_NORM,
1597
0
                LLM_TENSOR_DEC_FFN_GATE,
1598
0
                LLM_TENSOR_DEC_FFN_DOWN,
1599
0
                LLM_TENSOR_DEC_FFN_UP,
1600
0
                LLM_TENSOR_ENC_OUTPUT_NORM,
1601
0
                LLM_TENSOR_ENC_ATTN_NORM,
1602
0
                LLM_TENSOR_ENC_ATTN_Q,
1603
0
                LLM_TENSOR_ENC_ATTN_K,
1604
0
                LLM_TENSOR_ENC_ATTN_V,
1605
0
                LLM_TENSOR_ENC_ATTN_OUT,
1606
0
                LLM_TENSOR_ENC_ATTN_REL_B,
1607
0
                LLM_TENSOR_ENC_FFN_NORM,
1608
0
                LLM_TENSOR_ENC_FFN_GATE,
1609
0
                LLM_TENSOR_ENC_FFN_DOWN,
1610
0
                LLM_TENSOR_ENC_FFN_UP,
1611
0
            };
1612
0
        case LLM_ARCH_T5ENCODER:
1613
0
            return {
1614
0
                LLM_TENSOR_TOKEN_EMBD,
1615
0
                LLM_TENSOR_OUTPUT,
1616
0
                LLM_TENSOR_ENC_OUTPUT_NORM,
1617
0
                LLM_TENSOR_ENC_ATTN_NORM,
1618
0
                LLM_TENSOR_ENC_ATTN_Q,
1619
0
                LLM_TENSOR_ENC_ATTN_K,
1620
0
                LLM_TENSOR_ENC_ATTN_V,
1621
0
                LLM_TENSOR_ENC_ATTN_OUT,
1622
0
                LLM_TENSOR_ENC_ATTN_REL_B,
1623
0
                LLM_TENSOR_ENC_FFN_NORM,
1624
0
                LLM_TENSOR_ENC_FFN_GATE,
1625
0
                LLM_TENSOR_ENC_FFN_DOWN,
1626
0
                LLM_TENSOR_ENC_FFN_UP,
1627
0
            };
1628
0
        case LLM_ARCH_JAIS:
1629
0
            return {
1630
0
                LLM_TENSOR_TOKEN_EMBD,
1631
0
                LLM_TENSOR_OUTPUT_NORM,
1632
0
                LLM_TENSOR_OUTPUT,
1633
0
                LLM_TENSOR_ATTN_NORM,
1634
0
                LLM_TENSOR_ATTN_QKV,
1635
0
                LLM_TENSOR_ATTN_OUT,
1636
0
                LLM_TENSOR_FFN_NORM,
1637
0
                LLM_TENSOR_FFN_UP,
1638
0
                LLM_TENSOR_FFN_GATE,
1639
0
                LLM_TENSOR_FFN_DOWN,
1640
0
            };
1641
0
        case LLM_ARCH_NEMOTRON_H:
1642
0
            return {
1643
0
                LLM_TENSOR_TOKEN_EMBD,
1644
0
                LLM_TENSOR_OUTPUT_NORM,
1645
0
                LLM_TENSOR_OUTPUT,
1646
0
                LLM_TENSOR_ATTN_NORM,
1647
0
                LLM_TENSOR_SSM_IN,
1648
0
                LLM_TENSOR_SSM_CONV1D,
1649
0
                LLM_TENSOR_SSM_DT,
1650
0
                LLM_TENSOR_SSM_A,
1651
0
                LLM_TENSOR_SSM_D,
1652
0
                LLM_TENSOR_SSM_NORM,
1653
0
                LLM_TENSOR_SSM_OUT,
1654
0
                LLM_TENSOR_ATTN_Q,
1655
0
                LLM_TENSOR_ATTN_K,
1656
0
                LLM_TENSOR_ATTN_V,
1657
0
                LLM_TENSOR_ATTN_OUT,
1658
0
                LLM_TENSOR_FFN_DOWN,
1659
0
                LLM_TENSOR_FFN_UP,
1660
0
            };
1661
0
        case LLM_ARCH_NEMOTRON_H_MOE:
1662
0
            return {
1663
0
                LLM_TENSOR_TOKEN_EMBD,
1664
0
                LLM_TENSOR_OUTPUT_NORM,
1665
0
                LLM_TENSOR_OUTPUT,
1666
0
                LLM_TENSOR_ATTN_NORM,
1667
                // mamba(2) ssm layers
1668
0
                LLM_TENSOR_SSM_IN,
1669
0
                LLM_TENSOR_SSM_CONV1D,
1670
0
                LLM_TENSOR_SSM_DT,
1671
0
                LLM_TENSOR_SSM_A,
1672
0
                LLM_TENSOR_SSM_D,
1673
0
                LLM_TENSOR_SSM_NORM,
1674
0
                LLM_TENSOR_SSM_OUT,
1675
                // attention layers
1676
0
                LLM_TENSOR_ATTN_Q,
1677
0
                LLM_TENSOR_ATTN_K,
1678
0
                LLM_TENSOR_ATTN_V,
1679
0
                LLM_TENSOR_ATTN_OUT,
1680
                // dense FFN
1681
0
                LLM_TENSOR_FFN_DOWN,
1682
0
                LLM_TENSOR_FFN_UP,
1683
                // MoE FFN (for MoE layers)
1684
0
                LLM_TENSOR_FFN_GATE_INP,
1685
0
                LLM_TENSOR_FFN_UP_EXPS,
1686
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1687
0
                LLM_TENSOR_FFN_EXP_PROBS_B,
1688
                // MoE shared expert layer
1689
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
1690
0
                LLM_TENSOR_FFN_UP_SHEXP,
1691
0
            };
1692
0
        case LLM_ARCH_EXAONE4:
1693
0
            return {
1694
0
                LLM_TENSOR_TOKEN_EMBD,
1695
0
                LLM_TENSOR_OUTPUT_NORM,
1696
0
                LLM_TENSOR_OUTPUT,
1697
0
                LLM_TENSOR_ROPE_FREQS,
1698
0
                LLM_TENSOR_ATTN_Q,
1699
0
                LLM_TENSOR_ATTN_Q_NORM,
1700
0
                LLM_TENSOR_ATTN_K,
1701
0
                LLM_TENSOR_ATTN_K_NORM,
1702
0
                LLM_TENSOR_ATTN_V,
1703
0
                LLM_TENSOR_ATTN_OUT,
1704
0
                LLM_TENSOR_ATTN_POST_NORM,
1705
0
                LLM_TENSOR_FFN_GATE,
1706
0
                LLM_TENSOR_FFN_DOWN,
1707
0
                LLM_TENSOR_FFN_UP,
1708
0
                LLM_TENSOR_FFN_POST_NORM,
1709
0
            };
1710
0
        case LLM_ARCH_RWKV6:
1711
0
            return {
1712
0
                LLM_TENSOR_TOKEN_EMBD,
1713
0
                LLM_TENSOR_TOKEN_EMBD_NORM,
1714
0
                LLM_TENSOR_OUTPUT_NORM,
1715
0
                LLM_TENSOR_OUTPUT,
1716
0
                LLM_TENSOR_ATTN_NORM,
1717
0
                LLM_TENSOR_ATTN_NORM_2,
1718
0
                LLM_TENSOR_TIME_MIX_W1,
1719
0
                LLM_TENSOR_TIME_MIX_W2,
1720
0
                LLM_TENSOR_TIME_MIX_LERP_X,
1721
0
                LLM_TENSOR_TIME_MIX_LERP_W,
1722
0
                LLM_TENSOR_TIME_MIX_LERP_K,
1723
0
                LLM_TENSOR_TIME_MIX_LERP_V,
1724
0
                LLM_TENSOR_TIME_MIX_LERP_R,
1725
0
                LLM_TENSOR_TIME_MIX_LERP_G,
1726
0
                LLM_TENSOR_TIME_MIX_LERP_FUSED,
1727
0
                LLM_TENSOR_TIME_MIX_FIRST,
1728
0
                LLM_TENSOR_TIME_MIX_DECAY,
1729
0
                LLM_TENSOR_TIME_MIX_DECAY_W1,
1730
0
                LLM_TENSOR_TIME_MIX_DECAY_W2,
1731
0
                LLM_TENSOR_TIME_MIX_KEY,
1732
0
                LLM_TENSOR_TIME_MIX_VALUE,
1733
0
                LLM_TENSOR_TIME_MIX_RECEPTANCE,
1734
0
                LLM_TENSOR_TIME_MIX_GATE,
1735
0
                LLM_TENSOR_TIME_MIX_LN,
1736
0
                LLM_TENSOR_TIME_MIX_OUTPUT,
1737
0
                LLM_TENSOR_CHANNEL_MIX_LERP_K,
1738
0
                LLM_TENSOR_CHANNEL_MIX_LERP_R,
1739
0
                LLM_TENSOR_CHANNEL_MIX_KEY,
1740
0
                LLM_TENSOR_CHANNEL_MIX_VALUE,
1741
0
                LLM_TENSOR_CHANNEL_MIX_RECEPTANCE,
1742
0
            };
1743
0
        case LLM_ARCH_RWKV6QWEN2:
1744
0
            return {
1745
0
                LLM_TENSOR_TOKEN_EMBD,
1746
0
                LLM_TENSOR_OUTPUT_NORM,
1747
0
                LLM_TENSOR_OUTPUT,
1748
0
                LLM_TENSOR_ATTN_NORM,
1749
0
                LLM_TENSOR_TIME_MIX_W1,
1750
0
                LLM_TENSOR_TIME_MIX_W2,
1751
0
                LLM_TENSOR_TIME_MIX_LERP_X,
1752
0
                LLM_TENSOR_TIME_MIX_LERP_FUSED,
1753
0
                LLM_TENSOR_TIME_MIX_FIRST,
1754
0
                LLM_TENSOR_TIME_MIX_DECAY,
1755
0
                LLM_TENSOR_TIME_MIX_DECAY_W1,
1756
0
                LLM_TENSOR_TIME_MIX_DECAY_W2,
1757
0
                LLM_TENSOR_TIME_MIX_KEY,
1758
0
                LLM_TENSOR_TIME_MIX_VALUE,
1759
0
                LLM_TENSOR_TIME_MIX_RECEPTANCE,
1760
0
                LLM_TENSOR_TIME_MIX_GATE,
1761
0
                LLM_TENSOR_TIME_MIX_OUTPUT,
1762
0
                LLM_TENSOR_FFN_NORM,
1763
0
                LLM_TENSOR_FFN_GATE,
1764
0
                LLM_TENSOR_FFN_DOWN,
1765
0
                LLM_TENSOR_FFN_UP,
1766
0
            };
1767
0
        case LLM_ARCH_RWKV7:
1768
0
            return {
1769
0
                LLM_TENSOR_TOKEN_EMBD,
1770
0
                LLM_TENSOR_TOKEN_EMBD_NORM,
1771
0
                LLM_TENSOR_OUTPUT_NORM,
1772
0
                LLM_TENSOR_OUTPUT,
1773
0
                LLM_TENSOR_ATTN_NORM,
1774
0
                LLM_TENSOR_ATTN_NORM_2,
1775
0
                LLM_TENSOR_TIME_MIX_W0,
1776
0
                LLM_TENSOR_TIME_MIX_W1,
1777
0
                LLM_TENSOR_TIME_MIX_W2,
1778
0
                LLM_TENSOR_TIME_MIX_A0,
1779
0
                LLM_TENSOR_TIME_MIX_A1,
1780
0
                LLM_TENSOR_TIME_MIX_A2,
1781
0
                LLM_TENSOR_TIME_MIX_V0,
1782
0
                LLM_TENSOR_TIME_MIX_V1,
1783
0
                LLM_TENSOR_TIME_MIX_V2,
1784
0
                LLM_TENSOR_TIME_MIX_G1,
1785
0
                LLM_TENSOR_TIME_MIX_G2,
1786
0
                LLM_TENSOR_TIME_MIX_K_K,
1787
0
                LLM_TENSOR_TIME_MIX_K_A,
1788
0
                LLM_TENSOR_TIME_MIX_R_K,
1789
0
                LLM_TENSOR_TIME_MIX_LERP_FUSED,
1790
0
                LLM_TENSOR_TIME_MIX_KEY,
1791
0
                LLM_TENSOR_TIME_MIX_VALUE,
1792
0
                LLM_TENSOR_TIME_MIX_RECEPTANCE,
1793
0
                LLM_TENSOR_TIME_MIX_LN,
1794
0
                LLM_TENSOR_TIME_MIX_OUTPUT,
1795
0
                LLM_TENSOR_CHANNEL_MIX_LERP_K,
1796
0
                LLM_TENSOR_CHANNEL_MIX_KEY,
1797
0
                LLM_TENSOR_CHANNEL_MIX_VALUE,
1798
0
            };
1799
0
        case LLM_ARCH_ARWKV7:
1800
0
            return {
1801
0
                LLM_TENSOR_TOKEN_EMBD,
1802
0
                LLM_TENSOR_TOKEN_EMBD_NORM,
1803
0
                LLM_TENSOR_OUTPUT_NORM,
1804
0
                LLM_TENSOR_OUTPUT,
1805
0
                LLM_TENSOR_ATTN_NORM,
1806
0
                LLM_TENSOR_TIME_MIX_W0,
1807
0
                LLM_TENSOR_TIME_MIX_W1,
1808
0
                LLM_TENSOR_TIME_MIX_W2,
1809
0
                LLM_TENSOR_TIME_MIX_A0,
1810
0
                LLM_TENSOR_TIME_MIX_A1,
1811
0
                LLM_TENSOR_TIME_MIX_A2,
1812
0
                LLM_TENSOR_TIME_MIX_V0,
1813
0
                LLM_TENSOR_TIME_MIX_V1,
1814
0
                LLM_TENSOR_TIME_MIX_V2,
1815
0
                LLM_TENSOR_TIME_MIX_G1,
1816
0
                LLM_TENSOR_TIME_MIX_G2,
1817
0
                LLM_TENSOR_TIME_MIX_K_K,
1818
0
                LLM_TENSOR_TIME_MIX_K_A,
1819
0
                LLM_TENSOR_TIME_MIX_R_K,
1820
0
                LLM_TENSOR_TIME_MIX_LERP_FUSED,
1821
0
                LLM_TENSOR_TIME_MIX_KEY,
1822
0
                LLM_TENSOR_TIME_MIX_VALUE,
1823
0
                LLM_TENSOR_TIME_MIX_RECEPTANCE,
1824
0
                LLM_TENSOR_TIME_MIX_LN,
1825
0
                LLM_TENSOR_TIME_MIX_OUTPUT,
1826
0
                LLM_TENSOR_FFN_NORM,
1827
0
                LLM_TENSOR_FFN_GATE,
1828
0
                LLM_TENSOR_FFN_DOWN,
1829
0
                LLM_TENSOR_FFN_UP,
1830
0
            };
1831
0
        case LLM_ARCH_GRANITE_MOE:
1832
0
            return {
1833
0
                LLM_TENSOR_TOKEN_EMBD,
1834
0
                LLM_TENSOR_OUTPUT_NORM,
1835
0
                LLM_TENSOR_OUTPUT,
1836
0
                LLM_TENSOR_ATTN_NORM,
1837
0
                LLM_TENSOR_ATTN_Q,
1838
0
                LLM_TENSOR_ATTN_K,
1839
0
                LLM_TENSOR_ATTN_V,
1840
0
                LLM_TENSOR_ATTN_OUT,
1841
0
                LLM_TENSOR_FFN_NORM,
1842
0
                LLM_TENSOR_FFN_GATE_INP,
1843
0
                LLM_TENSOR_FFN_GATE_EXPS,
1844
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1845
0
                LLM_TENSOR_FFN_UP_EXPS,
1846
0
                LLM_TENSOR_FFN_GATE_SHEXP,
1847
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
1848
0
                LLM_TENSOR_FFN_UP_SHEXP,
1849
0
            };
1850
0
        case LLM_ARCH_GRANITE_HYBRID:
1851
0
            return {
1852
0
                LLM_TENSOR_TOKEN_EMBD,
1853
0
                LLM_TENSOR_OUTPUT_NORM,
1854
0
                LLM_TENSOR_OUTPUT,
1855
0
                LLM_TENSOR_ATTN_NORM,
1856
0
                LLM_TENSOR_SSM_IN,
1857
0
                LLM_TENSOR_SSM_CONV1D,
1858
0
                LLM_TENSOR_SSM_DT,
1859
0
                LLM_TENSOR_SSM_A,
1860
0
                LLM_TENSOR_SSM_D,
1861
0
                LLM_TENSOR_SSM_NORM,
1862
0
                LLM_TENSOR_SSM_OUT,
1863
0
                LLM_TENSOR_ATTN_Q,
1864
0
                LLM_TENSOR_ATTN_K,
1865
0
                LLM_TENSOR_ATTN_V,
1866
0
                LLM_TENSOR_ATTN_OUT,
1867
0
                LLM_TENSOR_FFN_NORM,
1868
0
                LLM_TENSOR_FFN_GATE,
1869
0
                LLM_TENSOR_FFN_DOWN,
1870
0
                LLM_TENSOR_FFN_UP,
1871
0
                LLM_TENSOR_FFN_NORM,
1872
0
                LLM_TENSOR_FFN_GATE_INP,
1873
0
                LLM_TENSOR_FFN_GATE_EXPS,
1874
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1875
0
                LLM_TENSOR_FFN_UP_EXPS,
1876
0
                LLM_TENSOR_FFN_GATE_SHEXP,
1877
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
1878
0
                LLM_TENSOR_FFN_UP_SHEXP,
1879
0
            };
1880
0
        case LLM_ARCH_WAVTOKENIZER_DEC:
1881
0
            return {
1882
0
                LLM_TENSOR_TOKEN_EMBD,
1883
0
                LLM_TENSOR_TOKEN_EMBD_NORM,
1884
0
                LLM_TENSOR_CONV1D,
1885
0
                LLM_TENSOR_CONVNEXT_DW,
1886
0
                LLM_TENSOR_CONVNEXT_NORM,
1887
0
                LLM_TENSOR_CONVNEXT_PW1,
1888
0
                LLM_TENSOR_CONVNEXT_PW2,
1889
0
                LLM_TENSOR_CONVNEXT_GAMMA,
1890
0
                LLM_TENSOR_OUTPUT_NORM,
1891
0
                LLM_TENSOR_OUTPUT,
1892
0
                LLM_TENSOR_POS_NET_CONV1,
1893
0
                LLM_TENSOR_POS_NET_CONV2,
1894
0
                LLM_TENSOR_POS_NET_NORM,
1895
0
                LLM_TENSOR_POS_NET_NORM1,
1896
0
                LLM_TENSOR_POS_NET_NORM2,
1897
0
                LLM_TENSOR_POS_NET_ATTN_NORM,
1898
0
                LLM_TENSOR_POS_NET_ATTN_Q,
1899
0
                LLM_TENSOR_POS_NET_ATTN_K,
1900
0
                LLM_TENSOR_POS_NET_ATTN_V,
1901
0
                LLM_TENSOR_POS_NET_ATTN_OUT,
1902
0
            };
1903
0
        case LLM_ARCH_BAILINGMOE:
1904
0
            return {
1905
0
                LLM_TENSOR_TOKEN_EMBD,
1906
0
                LLM_TENSOR_OUTPUT_NORM,
1907
0
                LLM_TENSOR_OUTPUT,
1908
0
                LLM_TENSOR_ROPE_FREQS,
1909
0
                LLM_TENSOR_ATTN_NORM,
1910
0
                LLM_TENSOR_ATTN_Q,
1911
0
                LLM_TENSOR_ATTN_K,
1912
0
                LLM_TENSOR_ATTN_V,
1913
0
                LLM_TENSOR_ATTN_OUT,
1914
0
                LLM_TENSOR_FFN_GATE_INP,
1915
0
                LLM_TENSOR_FFN_NORM,
1916
0
                LLM_TENSOR_FFN_GATE_EXPS,
1917
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1918
0
                LLM_TENSOR_FFN_UP_EXPS,
1919
0
                LLM_TENSOR_FFN_GATE_INP_SHEXP,
1920
0
                LLM_TENSOR_FFN_GATE_SHEXP,
1921
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
1922
0
                LLM_TENSOR_FFN_UP_SHEXP,
1923
0
            };
1924
0
        case LLM_ARCH_BAILINGMOE2:
1925
0
            return {
1926
0
                LLM_TENSOR_TOKEN_EMBD,
1927
0
                LLM_TENSOR_OUTPUT_NORM,
1928
0
                LLM_TENSOR_OUTPUT,
1929
0
                LLM_TENSOR_ATTN_NORM,
1930
0
                LLM_TENSOR_ATTN_Q_NORM,
1931
0
                LLM_TENSOR_ATTN_K_NORM,
1932
0
                LLM_TENSOR_ATTN_QKV,
1933
0
                LLM_TENSOR_ATTN_OUT,
1934
0
                LLM_TENSOR_FFN_GATE_INP,
1935
0
                LLM_TENSOR_FFN_EXP_PROBS_B,
1936
0
                LLM_TENSOR_FFN_NORM,
1937
0
                LLM_TENSOR_FFN_GATE,
1938
0
                LLM_TENSOR_FFN_DOWN,
1939
0
                LLM_TENSOR_FFN_UP,
1940
0
                LLM_TENSOR_FFN_GATE_EXPS,
1941
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1942
0
                LLM_TENSOR_FFN_UP_EXPS,
1943
0
                LLM_TENSOR_FFN_GATE_SHEXP,
1944
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
1945
0
                LLM_TENSOR_FFN_UP_SHEXP,
1946
0
                LLM_TENSOR_NEXTN_EH_PROJ,
1947
0
                LLM_TENSOR_NEXTN_EMBED_TOKENS,
1948
0
                LLM_TENSOR_NEXTN_ENORM,
1949
0
                LLM_TENSOR_NEXTN_HNORM,
1950
0
                LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,
1951
0
                LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,
1952
0
                LLM_TENSOR_LAYER_OUT_NORM,
1953
0
            };
1954
0
        case LLM_ARCH_DOTS1:
1955
0
            return {
1956
0
                LLM_TENSOR_TOKEN_EMBD,
1957
0
                LLM_TENSOR_OUTPUT_NORM,
1958
0
                LLM_TENSOR_OUTPUT,
1959
0
                LLM_TENSOR_ATTN_NORM,
1960
0
                LLM_TENSOR_ATTN_Q,
1961
0
                LLM_TENSOR_ATTN_Q_NORM,
1962
0
                LLM_TENSOR_ATTN_K,
1963
0
                LLM_TENSOR_ATTN_K_NORM,
1964
0
                LLM_TENSOR_ATTN_V,
1965
0
                LLM_TENSOR_ATTN_OUT,
1966
0
                LLM_TENSOR_FFN_NORM,
1967
0
                LLM_TENSOR_FFN_GATE,
1968
0
                LLM_TENSOR_FFN_UP,
1969
0
                LLM_TENSOR_FFN_DOWN,
1970
0
                LLM_TENSOR_FFN_GATE_INP,
1971
0
                LLM_TENSOR_FFN_GATE_EXPS,
1972
0
                LLM_TENSOR_FFN_DOWN_EXPS,
1973
0
                LLM_TENSOR_FFN_UP_EXPS,
1974
0
                LLM_TENSOR_FFN_GATE_INP_SHEXP,
1975
0
                LLM_TENSOR_FFN_GATE_SHEXP,
1976
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
1977
0
                LLM_TENSOR_FFN_UP_SHEXP,
1978
0
                LLM_TENSOR_FFN_EXP_PROBS_B,
1979
0
            };
1980
0
        case LLM_ARCH_ERNIE4_5_MOE:
1981
0
            return {
1982
0
                LLM_TENSOR_TOKEN_EMBD,
1983
0
                LLM_TENSOR_OUTPUT_NORM,
1984
0
                LLM_TENSOR_OUTPUT,
1985
0
                LLM_TENSOR_ATTN_NORM,
1986
0
                LLM_TENSOR_ATTN_Q,
1987
0
                LLM_TENSOR_ATTN_K,
1988
0
                LLM_TENSOR_ATTN_V,
1989
0
                LLM_TENSOR_ATTN_OUT,
1990
0
                LLM_TENSOR_FFN_NORM,
1991
0
                LLM_TENSOR_FFN_GATE,
1992
0
                LLM_TENSOR_FFN_DOWN,
1993
0
                LLM_TENSOR_FFN_UP,
1994
0
                LLM_TENSOR_FFN_GATE_INP,
1995
0
                LLM_TENSOR_FFN_GATE_SHEXP,
1996
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
1997
0
                LLM_TENSOR_FFN_UP_SHEXP,
1998
0
                LLM_TENSOR_FFN_GATE_EXPS,
1999
0
                LLM_TENSOR_FFN_DOWN_EXPS,
2000
0
                LLM_TENSOR_FFN_UP_EXPS,
2001
0
                LLM_TENSOR_FFN_EXP_PROBS_B,
2002
0
            };
2003
0
        case LLM_ARCH_HUNYUAN_MOE:
2004
0
            return {
2005
0
                LLM_TENSOR_TOKEN_EMBD,
2006
0
                LLM_TENSOR_OUTPUT_NORM,
2007
0
                LLM_TENSOR_OUTPUT,
2008
0
                LLM_TENSOR_ATTN_NORM,
2009
0
                LLM_TENSOR_ATTN_Q,
2010
0
                LLM_TENSOR_ATTN_Q_NORM,
2011
0
                LLM_TENSOR_ATTN_K,
2012
0
                LLM_TENSOR_ATTN_K_NORM,
2013
0
                LLM_TENSOR_ATTN_V,
2014
0
                LLM_TENSOR_ATTN_OUT,
2015
0
                LLM_TENSOR_FFN_GATE_INP,
2016
0
                LLM_TENSOR_FFN_NORM,
2017
0
                LLM_TENSOR_FFN_GATE_SHEXP,
2018
0
                LLM_TENSOR_FFN_DOWN_SHEXP,
2019
0
                LLM_TENSOR_FFN_UP_SHEXP,
2020
0
                LLM_TENSOR_FFN_GATE_EXPS,
2021
0
                LLM_TENSOR_FFN_DOWN_EXPS,
2022
0
                LLM_TENSOR_FFN_UP_EXPS,
2023
0
            };
2024
0
        case LLM_ARCH_OPENAI_MOE:
2025
0
            return {
2026
0
                LLM_TENSOR_TOKEN_EMBD,
2027
0
                LLM_TENSOR_OUTPUT_NORM,
2028
0
                LLM_TENSOR_OUTPUT,
2029
0
                LLM_TENSOR_ATTN_NORM,
2030
0
                LLM_TENSOR_ATTN_POST_NORM,
2031
0
                LLM_TENSOR_ATTN_Q,
2032
0
                LLM_TENSOR_ATTN_K,
2033
0
                LLM_TENSOR_ATTN_V,
2034
0
                LLM_TENSOR_ATTN_OUT,
2035
0
                LLM_TENSOR_ATTN_SINKS,
2036
0
                LLM_TENSOR_FFN_GATE_INP,
2037
0
                LLM_TENSOR_FFN_GATE_EXPS,
2038
0
                LLM_TENSOR_FFN_DOWN_EXPS,
2039
0
                LLM_TENSOR_FFN_UP_EXPS,
2040
0
            };
2041
0
        case LLM_ARCH_LFM2:
2042
0
            return {
2043
0
                LLM_TENSOR_ATTN_NORM,
2044
0
                LLM_TENSOR_ATTN_Q,
2045
0
                LLM_TENSOR_ATTN_K,
2046
0
                LLM_TENSOR_ATTN_V,
2047
0
                LLM_TENSOR_ATTN_OUT,
2048
0
                LLM_TENSOR_ATTN_K_NORM,
2049
0
                LLM_TENSOR_ATTN_Q_NORM,
2050
0
                LLM_TENSOR_FFN_DOWN,
2051
0
                LLM_TENSOR_FFN_GATE,
2052
0
                LLM_TENSOR_FFN_NORM,
2053
0
                LLM_TENSOR_FFN_UP,
2054
0
                LLM_TENSOR_SHORTCONV_CONV,
2055
0
                LLM_TENSOR_SHORTCONV_INPROJ,
2056
0
                LLM_TENSOR_SHORTCONV_OUTPROJ,
2057
0
                LLM_TENSOR_TOKEN_EMBD,
2058
0
                LLM_TENSOR_OUTPUT_NORM_LFM2,
2059
0
                LLM_TENSOR_OUTPUT,
2060
0
            };
2061
0
        case LLM_ARCH_LFM2MOE:
2062
0
            return {
2063
0
                LLM_TENSOR_ATTN_NORM,
2064
0
                LLM_TENSOR_ATTN_Q,
2065
0
                LLM_TENSOR_ATTN_K,
2066
0
                LLM_TENSOR_ATTN_V,
2067
0
                LLM_TENSOR_ATTN_OUT,
2068
0
                LLM_TENSOR_ATTN_K_NORM,
2069
0
                LLM_TENSOR_ATTN_Q_NORM,
2070
0
                LLM_TENSOR_FFN_DOWN,
2071
0
                LLM_TENSOR_FFN_GATE,
2072
0
                LLM_TENSOR_FFN_NORM,
2073
0
                LLM_TENSOR_FFN_UP,
2074
0
                LLM_TENSOR_SHORTCONV_CONV,
2075
0
                LLM_TENSOR_SHORTCONV_INPROJ,
2076
0
                LLM_TENSOR_SHORTCONV_OUTPROJ,
2077
0
                LLM_TENSOR_TOKEN_EMBD,
2078
0
                LLM_TENSOR_OUTPUT_NORM_LFM2,
2079
0
                LLM_TENSOR_FFN_GATE_INP,
2080
0
                LLM_TENSOR_FFN_GATE_EXPS,
2081
0
                LLM_TENSOR_FFN_DOWN_EXPS,
2082
0
                LLM_TENSOR_FFN_UP_EXPS,
2083
0
                LLM_TENSOR_FFN_EXP_PROBS_B,
2084
0
            };
2085
0
        case LLM_ARCH_SMALLTHINKER:
2086
0
            return {
2087
0
                LLM_TENSOR_TOKEN_EMBD,
2088
0
                LLM_TENSOR_OUTPUT_NORM,
2089
0
                LLM_TENSOR_OUTPUT,
2090
0
                LLM_TENSOR_ATTN_NORM,
2091
0
                LLM_TENSOR_ATTN_Q,
2092
0
                LLM_TENSOR_ATTN_K,
2093
0
                LLM_TENSOR_ATTN_V,
2094
0
                LLM_TENSOR_ATTN_OUT,
2095
0
                LLM_TENSOR_FFN_NORM,
2096
0
                LLM_TENSOR_FFN_GATE,
2097
0
                LLM_TENSOR_FFN_DOWN,
2098
0
                LLM_TENSOR_FFN_UP,
2099
0
                LLM_TENSOR_FFN_GATE_INP,
2100
0
                LLM_TENSOR_FFN_GATE_EXPS,
2101
0
                LLM_TENSOR_FFN_DOWN_EXPS,
2102
0
                LLM_TENSOR_FFN_UP_EXPS,
2103
0
            };
2104
0
        case LLM_ARCH_APERTUS:
2105
0
            return {
2106
0
                LLM_TENSOR_TOKEN_EMBD,
2107
0
                LLM_TENSOR_OUTPUT_NORM,
2108
0
                LLM_TENSOR_OUTPUT,
2109
0
                LLM_TENSOR_ROPE_FREQS,
2110
0
                LLM_TENSOR_ATTN_NORM,
2111
0
                LLM_TENSOR_ATTN_Q,
2112
0
                LLM_TENSOR_ATTN_K,
2113
0
                LLM_TENSOR_ATTN_V,
2114
0
                LLM_TENSOR_ATTN_OUT,
2115
0
                LLM_TENSOR_ATTN_Q_NORM,
2116
0
                LLM_TENSOR_ATTN_K_NORM,
2117
0
                LLM_TENSOR_FFN_NORM,
2118
0
                LLM_TENSOR_FFN_DOWN,
2119
0
                LLM_TENSOR_FFN_UP,
2120
0
            };
2121
0
        case LLM_ARCH_SEED_OSS:
2122
0
            return {
2123
0
                LLM_TENSOR_TOKEN_EMBD,
2124
0
                LLM_TENSOR_OUTPUT_NORM,
2125
0
                LLM_TENSOR_OUTPUT,
2126
0
                LLM_TENSOR_ATTN_NORM,
2127
0
                LLM_TENSOR_ATTN_Q,
2128
0
                LLM_TENSOR_ATTN_K,
2129
0
                LLM_TENSOR_ATTN_V,
2130
0
                LLM_TENSOR_ATTN_OUT,
2131
0
                LLM_TENSOR_ATTN_POST_NORM,
2132
0
                LLM_TENSOR_FFN_GATE,
2133
0
                LLM_TENSOR_FFN_DOWN,
2134
0
                LLM_TENSOR_FFN_UP,
2135
0
            };
2136
0
        case LLM_ARCH_GROVEMOE:
2137
0
            return {
2138
0
                LLM_TENSOR_TOKEN_EMBD,
2139
0
                LLM_TENSOR_OUTPUT_NORM,
2140
0
                LLM_TENSOR_OUTPUT,
2141
0
                LLM_TENSOR_ATTN_NORM,
2142
0
                LLM_TENSOR_ATTN_Q,
2143
0
                LLM_TENSOR_ATTN_Q_NORM,
2144
0
                LLM_TENSOR_ATTN_K,
2145
0
                LLM_TENSOR_ATTN_K_NORM,
2146
0
                LLM_TENSOR_ATTN_V,
2147
0
                LLM_TENSOR_ATTN_OUT,
2148
0
                LLM_TENSOR_FFN_NORM,
2149
0
                LLM_TENSOR_FFN_GATE_INP,
2150
0
                LLM_TENSOR_FFN_GATE_EXPS,
2151
0
                LLM_TENSOR_FFN_DOWN_EXPS,
2152
0
                LLM_TENSOR_FFN_UP_EXPS,
2153
0
                LLM_TENSOR_FFN_GATE_CHEXPS,
2154
0
                LLM_TENSOR_FFN_DOWN_CHEXPS,
2155
0
                LLM_TENSOR_FFN_UP_CHEXPS,
2156
0
            };
2157
0
        case LLM_ARCH_MINIMAX_M2:
2158
0
            return {
2159
0
                LLM_TENSOR_TOKEN_EMBD,
2160
0
                LLM_TENSOR_OUTPUT_NORM,
2161
0
                LLM_TENSOR_OUTPUT,
2162
0
                LLM_TENSOR_ATTN_NORM,
2163
0
                LLM_TENSOR_ATTN_Q,
2164
0
                LLM_TENSOR_ATTN_K,
2165
0
                LLM_TENSOR_ATTN_V,
2166
0
                LLM_TENSOR_ATTN_OUT,
2167
0
                LLM_TENSOR_ATTN_Q_NORM,
2168
0
                LLM_TENSOR_ATTN_K_NORM,
2169
0
                LLM_TENSOR_FFN_NORM,
2170
0
                LLM_TENSOR_FFN_GATE_INP,
2171
0
                LLM_TENSOR_FFN_GATE_EXPS,
2172
0
                LLM_TENSOR_FFN_DOWN_EXPS,
2173
0
                LLM_TENSOR_FFN_UP_EXPS,
2174
0
                LLM_TENSOR_FFN_EXP_PROBS_B,
2175
0
            };
2176
0
        case LLM_ARCH_COGVLM:
2177
0
            return {
2178
0
                LLM_TENSOR_TOKEN_EMBD,
2179
0
                LLM_TENSOR_OUTPUT_NORM,
2180
0
                LLM_TENSOR_OUTPUT,
2181
0
                LLM_TENSOR_ATTN_NORM,
2182
0
                LLM_TENSOR_ATTN_QKV,
2183
0
                LLM_TENSOR_ATTN_OUT,
2184
0
                LLM_TENSOR_FFN_NORM,
2185
0
                LLM_TENSOR_FFN_GATE,
2186
0
                LLM_TENSOR_FFN_DOWN,
2187
0
                LLM_TENSOR_FFN_UP,
2188
0
                LLM_TENSOR_VISEXP_ATTN_QKV,
2189
0
                LLM_TENSOR_VISEXP_ATTN_OUT,
2190
0
                LLM_TENSOR_VISEXP_FFN_GATE,
2191
0
                LLM_TENSOR_VISEXP_FFN_DOWN,
2192
0
                LLM_TENSOR_VISEXP_FFN_UP,
2193
0
            };
2194
0
        case LLM_ARCH_MIMO2:
2195
0
            return {
2196
0
                LLM_TENSOR_TOKEN_EMBD,
2197
0
                LLM_TENSOR_OUTPUT_NORM,
2198
0
                LLM_TENSOR_OUTPUT,
2199
0
                LLM_TENSOR_ATTN_NORM,
2200
0
                LLM_TENSOR_ATTN_Q,
2201
0
                LLM_TENSOR_ATTN_K,
2202
0
                LLM_TENSOR_ATTN_V,
2203
0
                LLM_TENSOR_ATTN_SINKS,
2204
0
                LLM_TENSOR_ATTN_OUT,
2205
0
                LLM_TENSOR_FFN_NORM,
2206
0
                LLM_TENSOR_FFN_GATE,
2207
0
                LLM_TENSOR_FFN_DOWN,
2208
0
                LLM_TENSOR_FFN_UP,
2209
0
                LLM_TENSOR_FFN_GATE_INP,
2210
0
                LLM_TENSOR_FFN_GATE_EXPS,
2211
0
                LLM_TENSOR_FFN_DOWN_EXPS,
2212
0
                LLM_TENSOR_FFN_UP_EXPS,
2213
0
                LLM_TENSOR_FFN_EXP_PROBS_B,
2214
0
            };
2215
0
        case LLM_ARCH_GPTJ:
2216
0
        case LLM_ARCH_UNKNOWN:
2217
0
            return {
2218
0
                LLM_TENSOR_TOKEN_EMBD,
2219
0
            };
2220
0
        default:
2221
0
            GGML_ABORT("unknown architecture for tensor mapping");
2222
0
    }
2223
0
}
2224
2225
// declare information about the model weight tensors:
2226
// - the layer in which the tensor is going to be used. this is needed in order to assign the correct buffer type for the weight
2227
// - the operator which is going to use the weight. this is needed to determine if the respective backend supports the operator
2228
//
2229
// for example, input layers are usually assigned to CPU/host buffer types
2230
//
2231
// a mismatch between the declared information and the actual layer/op in which the tensor is used can lead to sub-optimal
2232
//   assignment of the buffer types and extra overhead during computation
2233
// example: https://github.com/ggml-org/llama.cpp/pull/17548
2234
//
2235
static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
2236
    {LLM_TENSOR_TOKEN_EMBD,                 {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},
2237
    {LLM_TENSOR_POS_EMBD,                   {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},
2238
    {LLM_TENSOR_TOKEN_TYPES,                {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},
2239
    {LLM_TENSOR_TOKEN_EMBD_NORM,            {LLM_TENSOR_LAYER_INPUT, GGML_OP_MUL}},
2240
    {LLM_TENSOR_OUTPUT,                     {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
2241
    {LLM_TENSOR_CLS,                        {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
2242
    {LLM_TENSOR_CLS_OUT,                    {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
2243
    {LLM_TENSOR_DENSE_2_OUT,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output
2244
    {LLM_TENSOR_DENSE_3_OUT,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output
2245
    {LLM_TENSOR_OUTPUT_NORM,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
2246
    {LLM_TENSOR_OUTPUT_NORM_LFM2,           {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
2247
    {LLM_TENSOR_DEC_OUTPUT_NORM,            {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
2248
    {LLM_TENSOR_ENC_OUTPUT_NORM,            {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
2249
    {LLM_TENSOR_ROPE_FREQS,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},
2250
    {LLM_TENSOR_ROPE_FACTORS_LONG,          {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},
2251
    {LLM_TENSOR_ROPE_FACTORS_SHORT,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},
2252
    {LLM_TENSOR_ATTN_Q,                     {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2253
    {LLM_TENSOR_ATTN_K,                     {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2254
    {LLM_TENSOR_ATTN_V,                     {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2255
    {LLM_TENSOR_ATTN_QKV,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2256
    {LLM_TENSOR_ATTN_OUT,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2257
    {LLM_TENSOR_ATTN_GATE,                  {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2258
    {LLM_TENSOR_FFN_GATE,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2259
    {LLM_TENSOR_FFN_DOWN,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2260
    {LLM_TENSOR_FFN_UP,                     {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2261
    {LLM_TENSOR_FFN_DOWN_SHEXP,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2262
    {LLM_TENSOR_FFN_GATE_SHEXP,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2263
    {LLM_TENSOR_FFN_UP_SHEXP,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2264
    {LLM_TENSOR_ATTN_Q_A,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2265
    {LLM_TENSOR_ATTN_Q_B,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2266
    {LLM_TENSOR_ATTN_KV_A_MQA,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2267
    {LLM_TENSOR_ATTN_KV_B,                  {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2268
    {LLM_TENSOR_ATTN_K_B,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2269
    {LLM_TENSOR_ATTN_V_B,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2270
    {LLM_TENSOR_ATTN_SINKS,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SCALE}},
2271
    {LLM_TENSOR_DEC_ATTN_Q,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2272
    {LLM_TENSOR_DEC_ATTN_K,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2273
    {LLM_TENSOR_DEC_ATTN_V,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2274
    {LLM_TENSOR_DEC_ATTN_OUT,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2275
    {LLM_TENSOR_DEC_CROSS_ATTN_Q,           {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2276
    {LLM_TENSOR_DEC_CROSS_ATTN_K,           {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2277
    {LLM_TENSOR_DEC_CROSS_ATTN_V,           {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2278
    {LLM_TENSOR_DEC_CROSS_ATTN_OUT,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2279
    {LLM_TENSOR_DEC_FFN_GATE,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2280
    {LLM_TENSOR_DEC_FFN_DOWN,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2281
    {LLM_TENSOR_DEC_FFN_UP,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2282
    {LLM_TENSOR_ENC_ATTN_Q,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2283
    {LLM_TENSOR_ENC_ATTN_K,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2284
    {LLM_TENSOR_ENC_ATTN_V,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2285
    {LLM_TENSOR_ENC_ATTN_OUT,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2286
    {LLM_TENSOR_ENC_FFN_GATE,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2287
    {LLM_TENSOR_ENC_FFN_DOWN,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2288
    {LLM_TENSOR_ENC_FFN_UP,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2289
    {LLM_TENSOR_FFN_GATE_INP_SHEXP,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2290
    {LLM_TENSOR_FFN_GATE_INP,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2291
    {LLM_TENSOR_SSM_IN,                     {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2292
    {LLM_TENSOR_SSM_X,                      {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2293
    {LLM_TENSOR_SSM_DT,                     {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2294
    {LLM_TENSOR_SSM_OUT,                    {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2295
    {LLM_TENSOR_SSM_BETA_ALPHA,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2296
    {LLM_TENSOR_TIME_MIX_W1,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2297
    {LLM_TENSOR_TIME_MIX_W2,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2298
    {LLM_TENSOR_TIME_MIX_A1,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2299
    {LLM_TENSOR_TIME_MIX_A2,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2300
    {LLM_TENSOR_TIME_MIX_V1,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2301
    {LLM_TENSOR_TIME_MIX_V2,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2302
    {LLM_TENSOR_TIME_MIX_G1,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2303
    {LLM_TENSOR_TIME_MIX_G2,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2304
    {LLM_TENSOR_TIME_MIX_DECAY_W1,          {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2305
    {LLM_TENSOR_TIME_MIX_DECAY_W2,          {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2306
    {LLM_TENSOR_TIME_MIX_KEY,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2307
    {LLM_TENSOR_TIME_MIX_VALUE,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2308
    {LLM_TENSOR_TIME_MIX_RECEPTANCE,        {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2309
    {LLM_TENSOR_TIME_MIX_GATE,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2310
    {LLM_TENSOR_TIME_MIX_OUTPUT,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2311
    {LLM_TENSOR_CHANNEL_MIX_KEY,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2312
    {LLM_TENSOR_CHANNEL_MIX_RECEPTANCE,     {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2313
    {LLM_TENSOR_CHANNEL_MIX_VALUE,          {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2314
    {LLM_TENSOR_FFN_ACT,                    {LLM_TENSOR_LAYER_REPEATING, GGML_OP_DIV}},
2315
    {LLM_TENSOR_SSM_CONV1D,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SSM_CONV}},
2316
    {LLM_TENSOR_SSM_A,                      {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SSM_SCAN}},
2317
    {LLM_TENSOR_SSM_A_NOSCAN,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, // a version of SSM_A used for MUL instead of SSM_SCAN
2318
    {LLM_TENSOR_SSM_DT_NORM,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2319
    {LLM_TENSOR_SSM_B_NORM,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2320
    {LLM_TENSOR_SSM_C_NORM,                 {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2321
    {LLM_TENSOR_SSM_D,                      {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2322
    {LLM_TENSOR_SSM_NORM,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2323
    {LLM_TENSOR_TIME_MIX_LERP_X,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2324
    {LLM_TENSOR_TIME_MIX_LN,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2325
    {LLM_TENSOR_CHANNEL_MIX_LERP_K,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2326
    {LLM_TENSOR_CHANNEL_MIX_LERP_R,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2327
    {LLM_TENSOR_TIME_MIX_K_K,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2328
    {LLM_TENSOR_TIME_MIX_K_A,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2329
    {LLM_TENSOR_TIME_MIX_R_K,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2330
    {LLM_TENSOR_TIME_MIX_LERP_W,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
2331
    {LLM_TENSOR_TIME_MIX_LERP_K,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
2332
    {LLM_TENSOR_TIME_MIX_LERP_V,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
2333
    {LLM_TENSOR_TIME_MIX_LERP_R,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
2334
    {LLM_TENSOR_TIME_MIX_LERP_G,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
2335
    {LLM_TENSOR_TIME_MIX_LERP_FUSED,        {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
2336
    {LLM_TENSOR_TIME_MIX_DECAY,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
2337
    {LLM_TENSOR_TIME_MIX_W0,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
2338
    {LLM_TENSOR_TIME_MIX_A0,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
2339
    {LLM_TENSOR_TIME_MIX_V0,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
2340
    {LLM_TENSOR_TIME_MIX_FIRST,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_RWKV_WKV6}},
2341
    {LLM_TENSOR_ATTN_NORM,                  {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2342
    {LLM_TENSOR_ATTN_NORM_2,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2343
    {LLM_TENSOR_ATTN_OUT_NORM,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2344
    {LLM_TENSOR_ATTN_POST_NORM,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2345
    {LLM_TENSOR_FFN_NORM,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2346
    {LLM_TENSOR_FFN_POST_NORM,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2347
    {LLM_TENSOR_FFN_NORM_EXPS,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2348
    {LLM_TENSOR_ATTN_Q_NORM,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2349
    {LLM_TENSOR_ATTN_K_NORM,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2350
    {LLM_TENSOR_LAYER_OUT_NORM,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2351
    {LLM_TENSOR_ATTN_Q_A_NORM,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2352
    {LLM_TENSOR_ATTN_KV_A_NORM,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2353
    {LLM_TENSOR_ATTN_SUB_NORM,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2354
    {LLM_TENSOR_FFN_SUB_NORM,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2355
    {LLM_TENSOR_DEC_ATTN_NORM,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2356
    {LLM_TENSOR_DEC_CROSS_ATTN_NORM,        {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2357
    {LLM_TENSOR_DEC_FFN_NORM,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2358
    {LLM_TENSOR_ENC_ATTN_NORM,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2359
    {LLM_TENSOR_ENC_FFN_NORM,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2360
    {LLM_TENSOR_DEC_ATTN_REL_B,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_GET_ROWS}},
2361
    {LLM_TENSOR_ENC_ATTN_REL_B,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_GET_ROWS}},
2362
    {LLM_TENSOR_FFN_DOWN_EXPS,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
2363
    {LLM_TENSOR_FFN_GATE_EXPS,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
2364
    {LLM_TENSOR_FFN_UP_EXPS,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
2365
    {LLM_TENSOR_FFN_DOWN_CHEXPS,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
2366
    {LLM_TENSOR_FFN_GATE_CHEXPS,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
2367
    {LLM_TENSOR_FFN_UP_CHEXPS,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},
2368
    {LLM_TENSOR_FFN_EXP_PROBS_B,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},
2369
    // altup / laurel (gemma 3n)
2370
    {LLM_TENSOR_PER_LAYER_TOKEN_EMBD,       {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_GET_ROWS}},
2371
    {LLM_TENSOR_PER_LAYER_MODEL_PROJ,       {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
2372
    {LLM_TENSOR_PER_LAYER_PROJ_NORM,        {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL}},
2373
    {LLM_TENSOR_ALTUP_PROJ,                 {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
2374
    {LLM_TENSOR_ALTUP_UNEMBD_PROJ,          {LLM_TENSOR_LAYER_OUTPUT,    GGML_OP_MUL_MAT}},
2375
    {LLM_TENSOR_PER_LAYER_INP_GATE,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2376
    {LLM_TENSOR_PER_LAYER_PROJ,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2377
    {LLM_TENSOR_PER_LAYER_POST_NORM,        {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2378
    {LLM_TENSOR_ALTUP_CORRECT_COEF,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2379
    {LLM_TENSOR_ALTUP_CORRECT_SCALE,        {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2380
    {LLM_TENSOR_ALTUP_PREDICT_COEF,         {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2381
    {LLM_TENSOR_ALTUP_ROUTER,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2382
    {LLM_TENSOR_ALTUP_ROUTER_NORM,          {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2383
    {LLM_TENSOR_LAUREL_L,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2384
    {LLM_TENSOR_LAUREL_R,                   {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2385
    {LLM_TENSOR_LAUREL_POST_NORM,           {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2386
    // this tensor is loaded for T5, but never used
2387
    {LLM_TENSOR_DEC_CROSS_ATTN_REL_B,       {LLM_TENSOR_LAYER_REPEATING, GGML_OP_NONE}},
2388
    {LLM_TENSOR_CONV1D,                     {LLM_TENSOR_LAYER_INPUT,     GGML_OP_IM2COL}},
2389
    {LLM_TENSOR_POS_NET_NORM,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2390
    {LLM_TENSOR_POS_NET_NORM1,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2391
    {LLM_TENSOR_POS_NET_NORM2,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2392
    {LLM_TENSOR_POS_NET_CONV1,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}},
2393
    {LLM_TENSOR_POS_NET_CONV2,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}},
2394
    {LLM_TENSOR_POS_NET_ATTN_NORM,          {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2395
    {LLM_TENSOR_POS_NET_ATTN_Q,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2396
    {LLM_TENSOR_POS_NET_ATTN_K,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2397
    {LLM_TENSOR_POS_NET_ATTN_V,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2398
    {LLM_TENSOR_POS_NET_ATTN_OUT,           {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2399
    {LLM_TENSOR_CONVNEXT_DW,                {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}},
2400
    {LLM_TENSOR_CONVNEXT_NORM,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2401
    {LLM_TENSOR_CONVNEXT_PW1,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2402
    {LLM_TENSOR_CONVNEXT_PW2,               {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2403
    {LLM_TENSOR_CONVNEXT_GAMMA,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},
2404
    {LLM_TENSOR_SHORTCONV_CONV,             {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SSM_CONV}},
2405
    {LLM_TENSOR_SHORTCONV_INPROJ,           {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2406
    {LLM_TENSOR_SHORTCONV_OUTPROJ,          {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2407
    {LLM_TENSOR_VISEXP_ATTN_QKV,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2408
    {LLM_TENSOR_VISEXP_ATTN_OUT,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2409
    {LLM_TENSOR_VISEXP_FFN_GATE,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2410
    {LLM_TENSOR_VISEXP_FFN_DOWN,            {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2411
    {LLM_TENSOR_VISEXP_FFN_UP,              {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
2412
    // NextN/MTP tensors are currently ignored (reserved for future MTP support)
2413
    // These tensors only exist in the last layer(s) and are treated as output tensors
2414
    {LLM_TENSOR_NEXTN_EH_PROJ,              {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
2415
    {LLM_TENSOR_NEXTN_EMBED_TOKENS,         {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_GET_ROWS}},
2416
    {LLM_TENSOR_NEXTN_ENORM,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_GET_ROWS}},
2417
    {LLM_TENSOR_NEXTN_HNORM,                {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
2418
    {LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD,     {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
2419
    {LLM_TENSOR_NEXTN_SHARED_HEAD_NORM,     {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},
2420
};
2421
2422
0
LLM_KV::LLM_KV(llm_arch arch, const char * suffix) : arch(arch), suffix(suffix) {}
2423
2424
0
std::string LLM_KV::operator()(llm_kv kv) const {
2425
0
    std::string name = ::format(LLM_KV_NAMES.at(kv), LLM_ARCH_NAMES.at(arch));
2426
2427
0
    if (suffix != nullptr) {
2428
0
        name += ".";
2429
0
        name += suffix;
2430
0
    }
2431
2432
0
    return name;
2433
0
}
2434
2435
LLM_TN_IMPL::LLM_TN_IMPL(llm_arch arch, llm_tensor tensor, const char * suffix, int bid, int xid)
2436
0
    : arch(arch), tensor(tensor), suffix(suffix), bid(bid), xid(xid),
2437
0
      model_tensors(llm_get_tensor_names(arch)) {}
2438
2439
0
std::string LLM_TN_IMPL::str() const {
2440
0
    if (LLM_TENSOR_NAMES.find(tensor) == LLM_TENSOR_NAMES.end()) {
2441
0
        GGML_ABORT("unknown tensor name for tensor id %d", static_cast<int>(tensor));
2442
0
    }
2443
2444
0
    if (model_tensors.find(tensor) == model_tensors.end()) {
2445
0
        return LLM_TENSOR_NAMES.at(tensor);
2446
0
    }
2447
2448
0
    std::string name = ::format(LLM_TENSOR_NAMES.at(tensor), bid, xid);
2449
0
    if (suffix != nullptr) {
2450
0
        name += ".";
2451
0
        name += suffix;
2452
0
    }
2453
2454
0
    return name;
2455
0
}
2456
2457
0
const char * llm_arch_name(llm_arch arch) {
2458
0
    auto it = LLM_ARCH_NAMES.find(arch);
2459
0
    if (it == LLM_ARCH_NAMES.end()) {
2460
0
        return "unknown";
2461
0
    }
2462
0
    return it->second;
2463
0
}
2464
2465
0
llm_arch llm_arch_from_string(const std::string & name) {
2466
0
    for (const auto & kv : LLM_ARCH_NAMES) { // NOLINT
2467
0
        if (kv.second == name) {
2468
0
            return kv.first;
2469
0
        }
2470
0
    }
2471
2472
0
    return LLM_ARCH_UNKNOWN;
2473
0
}
2474
2475
0
const llm_tensor_info & llm_tensor_info_for(llm_tensor tensor) {
2476
0
    return LLM_TENSOR_INFOS.at(tensor);
2477
0
}
2478
2479
0
bool llm_arch_is_recurrent(const llm_arch & arch) {
2480
0
    switch (arch) {
2481
0
        case LLM_ARCH_MAMBA:
2482
0
        case LLM_ARCH_MAMBA2:
2483
0
        case LLM_ARCH_RWKV6:
2484
0
        case LLM_ARCH_RWKV6QWEN2:
2485
0
        case LLM_ARCH_RWKV7:
2486
0
        case LLM_ARCH_ARWKV7:
2487
0
            return true;
2488
0
        default:
2489
0
            return false;
2490
0
    }
2491
0
}
2492
2493
0
bool llm_arch_is_hybrid(const llm_arch & arch) {
2494
0
    switch (arch) {
2495
0
        case LLM_ARCH_JAMBA:
2496
0
        case LLM_ARCH_FALCON_H1:
2497
0
        case LLM_ARCH_PLAMO2:
2498
0
        case LLM_ARCH_GRANITE_HYBRID:
2499
0
        case LLM_ARCH_LFM2:
2500
0
        case LLM_ARCH_LFM2MOE:
2501
0
        case LLM_ARCH_NEMOTRON_H:
2502
0
        case LLM_ARCH_NEMOTRON_H_MOE:
2503
0
        case LLM_ARCH_QWEN3NEXT:
2504
0
            return true;
2505
0
        default:
2506
0
            return false;
2507
0
    }
2508
0
}
2509
2510
0
bool llm_arch_is_diffusion(const llm_arch & arch) {
2511
0
    switch (arch) {
2512
0
        case LLM_ARCH_DREAM:
2513
0
        case LLM_ARCH_LLADA:
2514
0
        case LLM_ARCH_LLADA_MOE:
2515
0
        case LLM_ARCH_RND1:
2516
0
            return true;
2517
0
        default:
2518
0
            return false;
2519
0
    }
2520
0
}