echodict/llama.cpp
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1#include "llama-arch.h"2 3#include "llama-impl.h"4 5#include <map>6#include <set>7#include <vector>8 9static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {10 { LLM_ARCH_CLIP, "clip" }, // dummy, only used by llama-quantize11 { LLM_ARCH_LLAMA, "llama" },12 { LLM_ARCH_LLAMA4, "llama4" },13 { LLM_ARCH_DECI, "deci" },14 { LLM_ARCH_FALCON, "falcon" },15 { LLM_ARCH_GROK, "grok" },16 { LLM_ARCH_GPT2, "gpt2" },17 { LLM_ARCH_GPTJ, "gptj" },18 { LLM_ARCH_GPTNEOX, "gptneox" },19 { LLM_ARCH_MPT, "mpt" },20 { LLM_ARCH_BAICHUAN, "baichuan" },21 { LLM_ARCH_STARCODER, "starcoder" },22 { LLM_ARCH_REFACT, "refact" },23 { LLM_ARCH_BERT, "bert" },24 { LLM_ARCH_MODERN_BERT, "modern-bert" },25 { LLM_ARCH_NOMIC_BERT, "nomic-bert" },26 { LLM_ARCH_NOMIC_BERT_MOE, "nomic-bert-moe" },27 { LLM_ARCH_NEO_BERT, "neo-bert" },28 { LLM_ARCH_JINA_BERT_V2, "jina-bert-v2" },29 { LLM_ARCH_JINA_BERT_V3, "jina-bert-v3" },30 { LLM_ARCH_EUROBERT, "eurobert" },31 { LLM_ARCH_BLOOM, "bloom" },32 { LLM_ARCH_STABLELM, "stablelm" },33 { LLM_ARCH_QWEN, "qwen" },34 { LLM_ARCH_QWEN2, "qwen2" },35 { LLM_ARCH_QWEN2MOE, "qwen2moe" },36 { LLM_ARCH_QWEN2VL, "qwen2vl" },37 { LLM_ARCH_QWEN3, "qwen3" },38 { LLM_ARCH_QWEN3MOE, "qwen3moe" },39 { LLM_ARCH_QWEN3NEXT, "qwen3next" },40 { LLM_ARCH_QWEN3VL, "qwen3vl" },41 { LLM_ARCH_QWEN3VLMOE, "qwen3vlmoe" },42 { LLM_ARCH_QWEN35, "qwen35" },43 { LLM_ARCH_QWEN35MOE, "qwen35moe" },44 { LLM_ARCH_PHI2, "phi2" },45 { LLM_ARCH_PHI3, "phi3" },46 { LLM_ARCH_PHIMOE, "phimoe" },47 { LLM_ARCH_PLAMO, "plamo" },48 { LLM_ARCH_PLAMO2, "plamo2" },49 { LLM_ARCH_PLAMO3, "plamo3" },50 { LLM_ARCH_CODESHELL, "codeshell" },51 { LLM_ARCH_ORION, "orion" },52 { LLM_ARCH_INTERNLM2, "internlm2" },53 { LLM_ARCH_MINICPM, "minicpm" },54 { LLM_ARCH_MINICPM3, "minicpm3" },55 { LLM_ARCH_GEMMA, "gemma" },56 { LLM_ARCH_GEMMA2, "gemma2" },57 { LLM_ARCH_GEMMA3, "gemma3" },58 { LLM_ARCH_GEMMA3N, "gemma3n" },59 { LLM_ARCH_GEMMA4, "gemma4" },60 { LLM_ARCH_GEMMA_EMBEDDING, "gemma-embedding" },61 { LLM_ARCH_STARCODER2, "starcoder2" },62 { LLM_ARCH_MAMBA, "mamba" },63 { LLM_ARCH_MAMBA2, "mamba2" },64 { LLM_ARCH_JAMBA, "jamba" },65 { LLM_ARCH_FALCON_H1, "falcon-h1" },66 { LLM_ARCH_XVERSE, "xverse" },67 { LLM_ARCH_COMMAND_R, "command-r" },68 { LLM_ARCH_COHERE2, "cohere2" },69 { LLM_ARCH_DBRX, "dbrx" },70 { LLM_ARCH_OLMO, "olmo" },71 { LLM_ARCH_OLMO2, "olmo2" },72 { LLM_ARCH_OLMOE, "olmoe" },73 { LLM_ARCH_OPENELM, "openelm" },74 { LLM_ARCH_ARCTIC, "arctic" },75 { LLM_ARCH_DEEPSEEK, "deepseek" },76 { LLM_ARCH_DEEPSEEK2, "deepseek2" },77 { LLM_ARCH_DEEPSEEK2OCR, "deepseek2-ocr" },78 { LLM_ARCH_CHATGLM, "chatglm" },79 { LLM_ARCH_GLM4, "glm4" },80 { LLM_ARCH_GLM4_MOE, "glm4moe" },81 { LLM_ARCH_GLM_DSA, "glm-dsa" },82 { LLM_ARCH_BITNET, "bitnet" },83 { LLM_ARCH_T5, "t5" },84 { LLM_ARCH_T5ENCODER, "t5encoder" },85 { LLM_ARCH_JAIS, "jais" },86 { LLM_ARCH_JAIS2, "jais2" },87 { LLM_ARCH_NEMOTRON, "nemotron" },88 { LLM_ARCH_NEMOTRON_H, "nemotron_h" },89 { LLM_ARCH_NEMOTRON_H_MOE, "nemotron_h_moe" },90 { LLM_ARCH_EXAONE, "exaone" },91 { LLM_ARCH_EXAONE4, "exaone4" },92 { LLM_ARCH_EXAONE_MOE, "exaone-moe" },93 { LLM_ARCH_RWKV6, "rwkv6" },94 { LLM_ARCH_RWKV6QWEN2, "rwkv6qwen2" },95 { LLM_ARCH_RWKV7, "rwkv7" },96 { LLM_ARCH_ARWKV7, "arwkv7" },97 { LLM_ARCH_GRANITE, "granite" },98 { LLM_ARCH_GRANITE_MOE, "granitemoe" },99 { LLM_ARCH_GRANITE_HYBRID, "granitehybrid" },100 { LLM_ARCH_CHAMELEON, "chameleon" },101 { LLM_ARCH_WAVTOKENIZER_DEC, "wavtokenizer-dec" },102 { LLM_ARCH_PLM, "plm" },103 { LLM_ARCH_BAILINGMOE, "bailingmoe" },104 { LLM_ARCH_BAILINGMOE2, "bailingmoe2" },105 { LLM_ARCH_DOTS1, "dots1" },106 { LLM_ARCH_ARCEE, "arcee" },107 { LLM_ARCH_AFMOE, "afmoe" },108 { LLM_ARCH_ERNIE4_5, "ernie4_5" },109 { LLM_ARCH_ERNIE4_5_MOE, "ernie4_5-moe" },110 { LLM_ARCH_HUNYUAN_MOE, "hunyuan-moe" },111 { LLM_ARCH_HUNYUAN_DENSE, "hunyuan-dense" },112 { LLM_ARCH_SMOLLM3, "smollm3" },113 { LLM_ARCH_OPENAI_MOE, "gpt-oss" },114 { LLM_ARCH_LFM2, "lfm2" },115 { LLM_ARCH_LFM2MOE, "lfm2moe" },116 { LLM_ARCH_DREAM, "dream" },117 { LLM_ARCH_SMALLTHINKER, "smallthinker" },118 { LLM_ARCH_LLADA, "llada" },119 { LLM_ARCH_LLADA_MOE, "llada-moe" },120 { LLM_ARCH_SEED_OSS, "seed_oss" },121 { LLM_ARCH_GROVEMOE, "grovemoe" },122 { LLM_ARCH_APERTUS, "apertus" },123 { LLM_ARCH_MINIMAX_M2, "minimax-m2" },124 { LLM_ARCH_COGVLM, "cogvlm" },125 { LLM_ARCH_RND1, "rnd1" },126 { LLM_ARCH_PANGU_EMBED, "pangu-embedded" },127 { LLM_ARCH_MISTRAL3, "mistral3" },128 { LLM_ARCH_MISTRAL4, "mistral4" },129 { LLM_ARCH_PADDLEOCR, "paddleocr" },130 { LLM_ARCH_MIMO2, "mimo2" },131 { LLM_ARCH_STEP35, "step35" },132 { LLM_ARCH_LLAMA_EMBED, "llama-embed" },133 { LLM_ARCH_MAINCODER, "maincoder" },134 { LLM_ARCH_KIMI_LINEAR, "kimi-linear" },135 { LLM_ARCH_UNKNOWN, "(unknown)" },136};137 138static const std::map<llm_kv, const char *> LLM_KV_NAMES = {139 { LLM_KV_GENERAL_TYPE, "general.type" },140 { LLM_KV_GENERAL_ARCHITECTURE, "general.architecture" },141 { LLM_KV_GENERAL_QUANTIZATION_VERSION, "general.quantization_version" },142 { LLM_KV_GENERAL_ALIGNMENT, "general.alignment" },143 { LLM_KV_GENERAL_FILE_TYPE, "general.file_type" },144 { LLM_KV_GENERAL_SAMPLING_SEQUENCE, "general.sampling.sequence" },145 { LLM_KV_GENERAL_SAMPLING_TOP_K, "general.sampling.top_k" },146 { LLM_KV_GENERAL_SAMPLING_TOP_P, "general.sampling.top_p" },147 { LLM_KV_GENERAL_SAMPLING_MIN_P, "general.sampling.min_p" },148 { LLM_KV_GENERAL_SAMPLING_XTC_PROBABILITY, "general.sampling.xtc_probability" },149 { LLM_KV_GENERAL_SAMPLING_XTC_THRESHOLD, "general.sampling.xtc_threshold" },150 { LLM_KV_GENERAL_SAMPLING_TEMP, "general.sampling.temp" },151 { LLM_KV_GENERAL_SAMPLING_PENALTY_LAST_N, "general.sampling.penalty_last_n" },152 { LLM_KV_GENERAL_SAMPLING_PENALTY_REPEAT, "general.sampling.penalty_repeat" },153 { LLM_KV_GENERAL_SAMPLING_MIROSTAT, "general.sampling.mirostat" },154 { LLM_KV_GENERAL_SAMPLING_MIROSTAT_TAU, "general.sampling.mirostat_tau" },155 { LLM_KV_GENERAL_SAMPLING_MIROSTAT_ETA, "general.sampling.mirostat_eta" },156 { LLM_KV_GENERAL_NAME, "general.name" },157 { LLM_KV_GENERAL_AUTHOR, "general.author" },158 { LLM_KV_GENERAL_VERSION, "general.version" },159 { LLM_KV_GENERAL_URL, "general.url" },160 { LLM_KV_GENERAL_DESCRIPTION, "general.description" },161 { LLM_KV_GENERAL_LICENSE, "general.license" },162 { LLM_KV_GENERAL_SOURCE_URL, "general.source.url" },163 { LLM_KV_GENERAL_SOURCE_HF_REPO, "general.source.huggingface.repository" },164 165 { LLM_KV_VOCAB_SIZE, "%s.vocab_size" },166 { LLM_KV_CONTEXT_LENGTH, "%s.context_length" },167 { LLM_KV_EMBEDDING_LENGTH, "%s.embedding_length" },168 { LLM_KV_EMBEDDING_LENGTH_OUT, "%s.embedding_length_out" },169 { LLM_KV_EMBEDDING_LENGTH_PER_LAYER, "%s.embedding_length_per_layer_input" },170 { LLM_KV_FEATURES_LENGTH, "%s.features_length" },171 { LLM_KV_BLOCK_COUNT, "%s.block_count" },172 { LLM_KV_LEADING_DENSE_BLOCK_COUNT, "%s.leading_dense_block_count" },173 { LLM_KV_FEED_FORWARD_LENGTH, "%s.feed_forward_length" },174 { LLM_KV_EXPERT_FEED_FORWARD_LENGTH, "%s.expert_feed_forward_length" },175 { LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, "%s.expert_shared_feed_forward_length" },176 { LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH, "%s.expert_chunk_feed_forward_length" },177 { LLM_KV_SWIGLU_CLAMP_EXP, "%s.swiglu_clamp_exp" },178 { LLM_KV_SWIGLU_CLAMP_SHEXP, "%s.swiglu_clamp_shexp" },179 { LLM_KV_USE_PARALLEL_RESIDUAL, "%s.use_parallel_residual" },180 { LLM_KV_TENSOR_DATA_LAYOUT, "%s.tensor_data_layout" },181 { LLM_KV_EXPERT_COUNT, "%s.expert_count" },182 { LLM_KV_EXPERT_USED_COUNT, "%s.expert_used_count" },183 { LLM_KV_EXPERT_SHARED_COUNT, "%s.expert_shared_count" },184 { LLM_KV_EXPERT_GROUP_COUNT, "%s.expert_group_count" },185 { LLM_KV_EXPERT_GROUP_USED_COUNT, "%s.expert_group_used_count" },186 { LLM_KV_EXPERT_WEIGHTS_SCALE, "%s.expert_weights_scale" },187 { LLM_KV_EXPERT_WEIGHTS_NORM, "%s.expert_weights_norm" },188 { LLM_KV_EXPERT_GATING_FUNC, "%s.expert_gating_func" },189 { LLM_KV_EXPERT_GROUP_SCALE, "%s.expert_group_scale" },190 { LLM_KV_EXPERTS_PER_GROUP, "%s.experts_per_group" },191 { LLM_KV_MOE_EVERY_N_LAYERS, "%s.moe_every_n_layers" },192 { LLM_KV_MOE_LATENT_SIZE, "%s.moe_latent_size" },193 { LLM_KV_NEXTN_PREDICT_LAYERS, "%s.nextn_predict_layers" },194 { LLM_KV_NUM_DEEPSTACK_LAYERS, "%s.n_deepstack_layers" },195 { LLM_KV_POOLING_TYPE, "%s.pooling_type" },196 { LLM_KV_LOGIT_SCALE, "%s.logit_scale" },197 { LLM_KV_DECODER_START_TOKEN_ID, "%s.decoder_start_token_id" },198 { LLM_KV_DECODER_BLOCK_COUNT, "%s.decoder_block_count" },199 { LLM_KV_ATTN_LOGIT_SOFTCAPPING, "%s.attn_logit_softcapping" },200 { LLM_KV_ROUTER_LOGIT_SOFTCAPPING, "%s.router_logit_softcapping" },201 { LLM_KV_FINAL_LOGIT_SOFTCAPPING, "%s.final_logit_softcapping" },202 { LLM_KV_SWIN_NORM, "%s.swin_norm" },203 { LLM_KV_RESCALE_EVERY_N_LAYERS, "%s.rescale_every_n_layers" },204 { LLM_KV_TIME_MIX_EXTRA_DIM, "%s.time_mix_extra_dim" },205 { LLM_KV_TIME_DECAY_EXTRA_DIM, "%s.time_decay_extra_dim" },206 { LLM_KV_RESIDUAL_SCALE, "%s.residual_scale" },207 { LLM_KV_EMBEDDING_SCALE, "%s.embedding_scale" },208 { LLM_KV_TOKEN_SHIFT_COUNT, "%s.token_shift_count" },209 { LLM_KV_INTERLEAVE_MOE_LAYER_STEP, "%s.interleave_moe_layer_step" },210 { LLM_KV_FULL_ATTENTION_INTERVAL, "%s.full_attention_interval" },211 212 { LLM_KV_ATTENTION_HEAD_COUNT, "%s.attention.head_count" },213 { LLM_KV_ATTENTION_HEAD_COUNT_KV, "%s.attention.head_count_kv" },214 { LLM_KV_ATTENTION_MAX_ALIBI_BIAS, "%s.attention.max_alibi_bias" },215 { LLM_KV_ATTENTION_CLAMP_KQV, "%s.attention.clamp_kqv" },216 { LLM_KV_ATTENTION_KEY_LENGTH, "%s.attention.key_length" },217 { LLM_KV_ATTENTION_VALUE_LENGTH, "%s.attention.value_length" },218 { LLM_KV_ATTENTION_LAYERNORM_EPS, "%s.attention.layer_norm_epsilon" },219 { LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, "%s.attention.layer_norm_rms_epsilon" },220 { LLM_KV_ATTENTION_GROUPNORM_EPS, "%s.attention.group_norm_epsilon" },221 { LLM_KV_ATTENTION_GROUPNORM_GROUPS, "%s.attention.group_norm_groups" },222 { LLM_KV_ATTENTION_CAUSAL, "%s.attention.causal" },223 { LLM_KV_ATTENTION_Q_LORA_RANK, "%s.attention.q_lora_rank" },224 { LLM_KV_ATTENTION_KV_LORA_RANK, "%s.attention.kv_lora_rank" },225 { LLM_KV_ATTENTION_DECAY_LORA_RANK, "%s.attention.decay_lora_rank" },226 { LLM_KV_ATTENTION_ICLR_LORA_RANK, "%s.attention.iclr_lora_rank" },227 { LLM_KV_ATTENTION_VALUE_RESIDUAL_MIX_LORA_RANK, "%s.attention.value_residual_mix_lora_rank" },228 { LLM_KV_ATTENTION_GATE_LORA_RANK, "%s.attention.gate_lora_rank" },229 { LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, "%s.attention.relative_buckets_count" },230 { LLM_KV_ATTENTION_SLIDING_WINDOW, "%s.attention.sliding_window" },231 { LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, "%s.attention.sliding_window_pattern" },232 { LLM_KV_ATTENTION_SCALE, "%s.attention.scale" },233 { LLM_KV_ATTENTION_OUTPUT_SCALE, "%s.attention.output_scale" },234 { LLM_KV_ATTENTION_TEMPERATURE_LENGTH, "%s.attention.temperature_length" },235 { LLM_KV_ATTENTION_TEMPERATURE_SCALE, "%s.attention.temperature_scale" },236 { LLM_KV_ATTENTION_KEY_LENGTH_MLA, "%s.attention.key_length_mla" },237 { LLM_KV_ATTENTION_VALUE_LENGTH_MLA, "%s.attention.value_length_mla" },238 { LLM_KV_ATTENTION_KEY_LENGTH_SWA, "%s.attention.key_length_swa" },239 { LLM_KV_ATTENTION_VALUE_LENGTH_SWA, "%s.attention.value_length_swa" },240 { LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, "%s.attention.indexer.head_count" },241 { LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, "%s.attention.indexer.key_length" },242 { LLM_KV_ATTENTION_INDEXER_TOP_K, "%s.attention.indexer.top_k" },243 { LLM_KV_ATTENTION_SHARED_KV_LAYERS, "%s.attention.shared_kv_layers" },244 245 { LLM_KV_ROPE_DIMENSION_COUNT, "%s.rope.dimension_count" },246 { LLM_KV_ROPE_DIMENSION_COUNT_SWA, "%s.rope.dimension_count_swa" },247 { LLM_KV_ROPE_DIMENSION_SECTIONS, "%s.rope.dimension_sections" },248 { LLM_KV_ROPE_FREQ_BASE, "%s.rope.freq_base" },249 { LLM_KV_ROPE_FREQ_BASE_SWA, "%s.rope.freq_base_swa" },250 { LLM_KV_ROPE_SCALE_LINEAR, "%s.rope.scale_linear" },251 { LLM_KV_ROPE_SCALING_TYPE, "%s.rope.scaling.type" },252 { LLM_KV_ROPE_SCALING_FACTOR, "%s.rope.scaling.factor" },253 { LLM_KV_ROPE_SCALING_ATTN_FACTOR, "%s.rope.scaling.attn_factor" },254 { LLM_KV_ROPE_SCALING_ORIG_CTX_LEN, "%s.rope.scaling.original_context_length" },255 { LLM_KV_ROPE_SCALING_FINETUNED, "%s.rope.scaling.finetuned" },256 { LLM_KV_ROPE_SCALING_YARN_LOG_MUL, "%s.rope.scaling.yarn_log_multiplier" },257 { LLM_KV_ROPE_SCALING_YARN_EXT_FACTOR, "%s.rope.scaling.yarn_ext_factor" },258 { LLM_KV_ROPE_SCALING_YARN_ATTN_FACTOR, "%s.rope.scaling.yarn_attn_factor" },259 { LLM_KV_ROPE_SCALING_YARN_BETA_FAST, "%s.rope.scaling.yarn_beta_fast" },260 { LLM_KV_ROPE_SCALING_YARN_BETA_SLOW, "%s.rope.scaling.yarn_beta_slow" },261 262 { LLM_KV_SPLIT_NO, "split.no" },263 { LLM_KV_SPLIT_COUNT, "split.count" },264 { LLM_KV_SPLIT_TENSORS_COUNT, "split.tensors.count" },265 266 { LLM_KV_SSM_CONV_KERNEL, "%s.ssm.conv_kernel" },267 { LLM_KV_SSM_INNER_SIZE, "%s.ssm.inner_size" },268 { LLM_KV_SSM_STATE_SIZE, "%s.ssm.state_size" },269 { LLM_KV_SSM_TIME_STEP_RANK, "%s.ssm.time_step_rank" },270 { LLM_KV_SSM_GROUP_COUNT, "%s.ssm.group_count" },271 { LLM_KV_SSM_DT_B_C_RMS, "%s.ssm.dt_b_c_rms" },272 273 { LLM_KV_KDA_HEAD_DIM, "%s.kda.head_dim" },274 275 { LLM_KV_WKV_HEAD_SIZE, "%s.wkv.head_size" },276 277 { LLM_KV_POSNET_EMBEDDING_LENGTH, "%s.posnet.embedding_length" },278 { LLM_KV_POSNET_BLOCK_COUNT, "%s.posnet.block_count" },279 280 { LLM_KV_CONVNEXT_EMBEDDING_LENGTH, "%s.convnext.embedding_length" },281 { LLM_KV_CONVNEXT_BLOCK_COUNT, "%s.convnext.block_count" },282 283 { LLM_KV_CLASSIFIER_OUTPUT_LABELS, "%s.classifier.output_labels" },284 285 { LLM_KV_SHORTCONV_L_CACHE, "%s.shortconv.l_cache" },286 // sentence-transformers dense modules feature dims287 { LLM_KV_DENSE_2_FEAT_IN, "%s.dense_2_feat_in" },288 { LLM_KV_DENSE_2_FEAT_OUT, "%s.dense_2_feat_out" },289 { LLM_KV_DENSE_3_FEAT_IN, "%s.dense_3_feat_in" },290 { LLM_KV_DENSE_3_FEAT_OUT, "%s.dense_3_feat_out" },291 292 { LLM_KV_TOKENIZER_MODEL, "tokenizer.ggml.model" },293 { LLM_KV_TOKENIZER_PRE, "tokenizer.ggml.pre" },294 { LLM_KV_TOKENIZER_LIST, "tokenizer.ggml.tokens" },295 { LLM_KV_TOKENIZER_TOKEN_TYPE, "tokenizer.ggml.token_type" },296 { LLM_KV_TOKENIZER_TOKEN_TYPE_COUNT, "tokenizer.ggml.token_type_count" },297 { LLM_KV_TOKENIZER_SCORES, "tokenizer.ggml.scores" },298 { LLM_KV_TOKENIZER_MERGES, "tokenizer.ggml.merges" },299 { LLM_KV_TOKENIZER_BOS_ID, "tokenizer.ggml.bos_token_id" },300 { LLM_KV_TOKENIZER_EOS_ID, "tokenizer.ggml.eos_token_id" },301 { LLM_KV_TOKENIZER_EOT_ID, "tokenizer.ggml.eot_token_id" },302 { LLM_KV_TOKENIZER_EOM_ID, "tokenizer.ggml.eom_token_id" },303 { LLM_KV_TOKENIZER_UNK_ID, "tokenizer.ggml.unknown_token_id" },304 { LLM_KV_TOKENIZER_SEP_ID, "tokenizer.ggml.seperator_token_id" },305 { LLM_KV_TOKENIZER_PAD_ID, "tokenizer.ggml.padding_token_id" },306 { LLM_KV_TOKENIZER_CLS_ID, "tokenizer.ggml.cls_token_id" },307 { LLM_KV_TOKENIZER_MASK_ID, "tokenizer.ggml.mask_token_id" },308 { LLM_KV_TOKENIZER_ADD_BOS, "tokenizer.ggml.add_bos_token" },309 { LLM_KV_TOKENIZER_ADD_EOS, "tokenizer.ggml.add_eos_token" },310 { LLM_KV_TOKENIZER_ADD_SEP, "tokenizer.ggml.add_sep_token" },311 { LLM_KV_TOKENIZER_ADD_PREFIX, "tokenizer.ggml.add_space_prefix" },312 { LLM_KV_TOKENIZER_REMOVE_EXTRA_WS, "tokenizer.ggml.remove_extra_whitespaces" },313 { LLM_KV_TOKENIZER_PRECOMPILED_CHARSMAP, "tokenizer.ggml.precompiled_charsmap" },314 { LLM_KV_TOKENIZER_HF_JSON, "tokenizer.huggingface.json" },315 { LLM_KV_TOKENIZER_RWKV, "tokenizer.rwkv.world" },316 { LLM_KV_TOKENIZER_CHAT_TEMPLATE, "tokenizer.chat_template" },317 { LLM_KV_TOKENIZER_FIM_PRE_ID, "tokenizer.ggml.fim_pre_token_id" },318 { LLM_KV_TOKENIZER_FIM_SUF_ID, "tokenizer.ggml.fim_suf_token_id" },319 { LLM_KV_TOKENIZER_FIM_MID_ID, "tokenizer.ggml.fim_mid_token_id" },320 { LLM_KV_TOKENIZER_FIM_PAD_ID, "tokenizer.ggml.fim_pad_token_id" },321 { LLM_KV_TOKENIZER_FIM_REP_ID, "tokenizer.ggml.fim_rep_token_id" },322 { LLM_KV_TOKENIZER_FIM_SEP_ID, "tokenizer.ggml.fim_sep_token_id" },323 324 { LLM_KV_ADAPTER_TYPE, "adapter.type" },325 { LLM_KV_ADAPTER_LORA_ALPHA, "adapter.lora.alpha" },326 { LLM_KV_ADAPTER_LORA_TASK_NAME, "adapter.lora.task_name" },327 { LLM_KV_ADAPTER_LORA_PROMPT_PREFIX, "adapter.lora.prompt_prefix" },328 { LLM_KV_ADAPTER_ALORA_INVOCATION_TOKENS, "adapter.alora.invocation_tokens" },329 330 { LLM_KV_XIELU_ALPHA_N, "xielu.alpha_n" },331 { LLM_KV_XIELU_ALPHA_P, "xielu.alpha_p" },332 { LLM_KV_XIELU_BETA, "xielu.beta" },333 { LLM_KV_XIELU_EPS, "xielu.eps" },334 335 // deprecated336 { LLM_KV_TOKENIZER_PREFIX_ID, "tokenizer.ggml.prefix_token_id" },337 { LLM_KV_TOKENIZER_SUFFIX_ID, "tokenizer.ggml.suffix_token_id" },338 { LLM_KV_TOKENIZER_MIDDLE_ID, "tokenizer.ggml.middle_token_id" },339};340 341static const std::map<llm_tensor, const char *> LLM_TENSOR_NAMES = {342 { LLM_TENSOR_TOKEN_EMBD, "token_embd" },343 { LLM_TENSOR_OUTPUT_NORM, "output_norm" },344 { LLM_TENSOR_OUTPUT_NORM_LFM2, "token_embd_norm" }, // fix for wrong tensor name345 { LLM_TENSOR_OUTPUT, "output" },346 { LLM_TENSOR_ROPE_FREQS, "rope_freqs" },347 { LLM_TENSOR_ATTN_NORM, "blk.%d.attn_norm" },348 { LLM_TENSOR_ATTN_Q, "blk.%d.attn_q" },349 { LLM_TENSOR_ATTN_K, "blk.%d.attn_k" },350 { LLM_TENSOR_ATTN_V, "blk.%d.attn_v" },351 { LLM_TENSOR_ATTN_OUT, "blk.%d.attn_output" },352 { LLM_TENSOR_ATTN_ROT_EMBD, "blk.%d.attn_rot_embd" },353 { LLM_TENSOR_FFN_GATE_INP, "blk.%d.ffn_gate_inp" },354 { LLM_TENSOR_FFN_NORM, "blk.%d.ffn_norm" },355 { LLM_TENSOR_FFN_GATE, "blk.%d.ffn_gate" },356 { LLM_TENSOR_FFN_DOWN, "blk.%d.ffn_down" },357 { LLM_TENSOR_FFN_UP, "blk.%d.ffn_up" },358 { LLM_TENSOR_FFN_GATE_EXP, "blk.%d.ffn_gate.%d" },359 { LLM_TENSOR_FFN_DOWN_EXP, "blk.%d.ffn_down.%d" },360 { LLM_TENSOR_FFN_UP_EXP, "blk.%d.ffn_up.%d" },361 { LLM_TENSOR_FFN_GATE_EXPS, "blk.%d.ffn_gate_exps" },362 { LLM_TENSOR_FFN_GATE_UP_EXPS, "blk.%d.ffn_gate_up_exps" },363 { LLM_TENSOR_FFN_DOWN_EXPS, "blk.%d.ffn_down_exps" },364 { LLM_TENSOR_FFN_UP_EXPS, "blk.%d.ffn_up_exps" },365 { LLM_TENSOR_ATTN_POST_NORM, "blk.%d.post_attention_norm" },366 { LLM_TENSOR_ATTN_Q_NORM, "blk.%d.attn_q_norm" },367 { LLM_TENSOR_ATTN_K_NORM, "blk.%d.attn_k_norm" },368 { LLM_TENSOR_ATTN_GATE, "blk.%d.attn_gate" },369 { LLM_TENSOR_FFN_POST_NORM, "blk.%d.post_ffw_norm" },370 { LLM_TENSOR_FFN_POST_NORM_1, "blk.%d.post_ffw_norm_1" },371 { LLM_TENSOR_FFN_POST_NORM_2, "blk.%d.post_ffw_norm_2" },372 { LLM_TENSOR_FFN_PRE_NORM_2, "blk.%d.pre_ffw_norm_2" },373 { LLM_TENSOR_FFN_GATE_SHEXP, "blk.%d.ffn_gate_shexp" },374 { LLM_TENSOR_FFN_UP_SHEXP, "blk.%d.ffn_up_shexp" },375 { LLM_TENSOR_FFN_DOWN_SHEXP, "blk.%d.ffn_down_shexp" },376 { LLM_TENSOR_FFN_EXP_PROBS_B, "blk.%d.exp_probs_b" },377 { LLM_TENSOR_FFN_LATENT_DOWN, "blk.%d.ffn_latent_down" },378 { LLM_TENSOR_FFN_LATENT_UP, "blk.%d.ffn_latent_up" },379 { LLM_TENSOR_ATTN_NORM_2, "blk.%d.attn_norm_2" },380 { LLM_TENSOR_ATTN_QKV, "blk.%d.attn_qkv" },381 { LLM_TENSOR_LAYER_OUT_NORM, "blk.%d.layer_output_norm" },382 { LLM_TENSOR_LAYER_OUT_SCALE, "blk.%d.layer_output_scale" },383 { LLM_TENSOR_ATTN_OUT_NORM, "blk.%d.attn_output_norm" },384 { LLM_TENSOR_POS_EMBD, "position_embd" },385 { LLM_TENSOR_FFN_ACT, "blk.%d.ffn.act" },386 { LLM_TENSOR_TOKEN_EMBD_NORM, "token_embd_norm" },387 { LLM_TENSOR_TOKEN_TYPES, "token_types" },388 { LLM_TENSOR_CLS, "cls" },389 { LLM_TENSOR_CLS_OUT, "cls.output" },390 { LLM_TENSOR_CLS_NORM, "cls.norm" },391 { LLM_TENSOR_ENC_OUTPUT_NORM, "enc.output_norm" },392 { LLM_TENSOR_FFN_GATE_INP_SHEXP, "blk.%d.ffn_gate_inp_shexp" },393 { LLM_TENSOR_SSM_A_NOSCAN, "blk.%d.ssm_a" },394 { LLM_TENSOR_SSM_CONV1D, "blk.%d.ssm_conv1d" },395 { LLM_TENSOR_SSM_DT, "blk.%d.ssm_dt" },396 { LLM_TENSOR_SSM_BETA_ALPHA, "blk.%d.ssm_ba" },397 { LLM_TENSOR_SSM_ALPHA, "blk.%d.ssm_alpha" },398 { LLM_TENSOR_SSM_IN, "blk.%d.ssm_in" },399 { LLM_TENSOR_SSM_NORM, "blk.%d.ssm_norm" },400 { LLM_TENSOR_SSM_OUT, "blk.%d.ssm_out" },401 { LLM_TENSOR_ROPE_FACTORS_LONG, "rope_factors_long" },402 { LLM_TENSOR_ROPE_FACTORS_SHORT, "rope_factors_short" },403 { LLM_TENSOR_SSM_X, "blk.%d.ssm_x" },404 { LLM_TENSOR_SSM_A, "blk.%d.ssm_a" },405 { LLM_TENSOR_SSM_D, "blk.%d.ssm_d" },406 { LLM_TENSOR_SSM_DT_NORM, "blk.%d.ssm_dt_norm" },407 { LLM_TENSOR_SSM_B_NORM, "blk.%d.ssm_b_norm" },408 { LLM_TENSOR_SSM_C_NORM, "blk.%d.ssm_c_norm" },409 { LLM_TENSOR_SSM_CONV1D_Q, "blk.%d.ssm_conv1d_q" },410 { LLM_TENSOR_SSM_CONV1D_K, "blk.%d.ssm_conv1d_k" },411 { LLM_TENSOR_SSM_CONV1D_V, "blk.%d.ssm_conv1d_v" },412 { LLM_TENSOR_SSM_F_A, "blk.%d.ssm_f_a" },413 { LLM_TENSOR_SSM_F_B, "blk.%d.ssm_f_b" },414 { LLM_TENSOR_SSM_BETA, "blk.%d.ssm_beta" },415 { LLM_TENSOR_SSM_G_A, "blk.%d.ssm_g_a" },416 { LLM_TENSOR_SSM_G_B, "blk.%d.ssm_g_b" },417 { LLM_TENSOR_SSM_NORM, "blk.%d.ssm_norm" },418 { LLM_TENSOR_ATTN_Q_A_NORM, "blk.%d.attn_q_a_norm" },419 { LLM_TENSOR_ATTN_KV_A_NORM, "blk.%d.attn_kv_a_norm" },420 { LLM_TENSOR_ATTN_Q_A, "blk.%d.attn_q_a" },421 { LLM_TENSOR_ATTN_Q_B, "blk.%d.attn_q_b" },422 { LLM_TENSOR_ATTN_KV_A_MQA, "blk.%d.attn_kv_a_mqa" },423 { LLM_TENSOR_ATTN_KV_B, "blk.%d.attn_kv_b" },424 { LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "per_layer_token_embd" },425 { LLM_TENSOR_PER_LAYER_MODEL_PROJ, "per_layer_model_proj" },426 { LLM_TENSOR_PER_LAYER_PROJ_NORM, "per_layer_proj_norm" },427 { LLM_TENSOR_ALTUP_UNEMBD_PROJ, "altup_unembd_proj" },428 { LLM_TENSOR_ALTUP_PROJ, "altup_proj" },429 { LLM_TENSOR_PER_LAYER_INP_GATE, "blk.%d.inp_gate" },430 { LLM_TENSOR_PER_LAYER_PROJ, "blk.%d.proj" },431 { LLM_TENSOR_PER_LAYER_POST_NORM, "blk.%d.post_norm" },432 { LLM_TENSOR_ALTUP_CORRECT_COEF, "blk.%d.altup_correct_coef" },433 { LLM_TENSOR_ALTUP_CORRECT_SCALE, "blk.%d.altup_correct_scale" },434 { LLM_TENSOR_ALTUP_PREDICT_COEF, "blk.%d.altup_predict_coef" },435 { LLM_TENSOR_ALTUP_ROUTER, "blk.%d.altup_router" },436 { LLM_TENSOR_ALTUP_ROUTER_NORM, "blk.%d.altup_router_norm" },437 { LLM_TENSOR_LAUREL_L, "blk.%d.laurel_l" },438 { LLM_TENSOR_LAUREL_R, "blk.%d.laurel_r" },439 { LLM_TENSOR_LAUREL_POST_NORM, "blk.%d.laurel_post_norm" },440 { LLM_TENSOR_DENSE_2_OUT, "dense_2" },441 { LLM_TENSOR_DENSE_3_OUT, "dense_3" },442 { LLM_TENSOR_FFN_NORM_EXPS, "blk.%d.ffn_norm_exps" },443 { LLM_TENSOR_ATTN_K_B, "blk.%d.attn_k_b" },444 { LLM_TENSOR_ATTN_V_B, "blk.%d.attn_v_b" },445 { LLM_TENSOR_NEXTN_EH_PROJ, "blk.%d.nextn.eh_proj" },446 { LLM_TENSOR_NEXTN_EMBED_TOKENS, "blk.%d.nextn.embed_tokens" },447 { LLM_TENSOR_NEXTN_ENORM, "blk.%d.nextn.enorm" },448 { LLM_TENSOR_NEXTN_HNORM, "blk.%d.nextn.hnorm" },449 { LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "blk.%d.nextn.shared_head_head" },450 { LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "blk.%d.nextn.shared_head_norm" },451 { LLM_TENSOR_ATTN_SUB_NORM, "blk.%d.attn_sub_norm" },452 { LLM_TENSOR_FFN_SUB_NORM, "blk.%d.ffn_sub_norm" },453 { LLM_TENSOR_DEC_OUTPUT_NORM, "dec.output_norm" },454 { LLM_TENSOR_DEC_ATTN_NORM, "dec.blk.%d.attn_norm" },455 { LLM_TENSOR_DEC_ATTN_Q, "dec.blk.%d.attn_q" },456 { LLM_TENSOR_DEC_ATTN_K, "dec.blk.%d.attn_k" },457 { LLM_TENSOR_DEC_ATTN_V, "dec.blk.%d.attn_v" },458 { LLM_TENSOR_DEC_ATTN_OUT, "dec.blk.%d.attn_o" },459 { LLM_TENSOR_DEC_ATTN_REL_B, "dec.blk.%d.attn_rel_b" },460 { LLM_TENSOR_DEC_CROSS_ATTN_NORM, "dec.blk.%d.cross_attn_norm" },461 { LLM_TENSOR_DEC_CROSS_ATTN_Q, "dec.blk.%d.cross_attn_q" },462 { LLM_TENSOR_DEC_CROSS_ATTN_K, "dec.blk.%d.cross_attn_k" },463 { LLM_TENSOR_DEC_CROSS_ATTN_V, "dec.blk.%d.cross_attn_v" },464 { LLM_TENSOR_DEC_CROSS_ATTN_OUT, "dec.blk.%d.cross_attn_o" },465 { LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "dec.blk.%d.cross_attn_rel_b" },466 { LLM_TENSOR_DEC_FFN_NORM, "dec.blk.%d.ffn_norm" },467 { LLM_TENSOR_DEC_FFN_GATE, "dec.blk.%d.ffn_gate" },468 { LLM_TENSOR_DEC_FFN_DOWN, "dec.blk.%d.ffn_down" },469 { LLM_TENSOR_DEC_FFN_UP, "dec.blk.%d.ffn_up" },470 { LLM_TENSOR_ENC_ATTN_NORM, "enc.blk.%d.attn_norm" },471 { LLM_TENSOR_ENC_ATTN_Q, "enc.blk.%d.attn_q" },472 { LLM_TENSOR_ENC_ATTN_K, "enc.blk.%d.attn_k" },473 { LLM_TENSOR_ENC_ATTN_V, "enc.blk.%d.attn_v" },474 { LLM_TENSOR_ENC_ATTN_OUT, "enc.blk.%d.attn_o" },475 { LLM_TENSOR_ENC_ATTN_REL_B, "enc.blk.%d.attn_rel_b" },476 { LLM_TENSOR_ENC_FFN_NORM, "enc.blk.%d.ffn_norm" },477 { LLM_TENSOR_ENC_FFN_GATE, "enc.blk.%d.ffn_gate" },478 { LLM_TENSOR_ENC_FFN_DOWN, "enc.blk.%d.ffn_down" },479 { LLM_TENSOR_ENC_FFN_UP, "enc.blk.%d.ffn_up" },480 { LLM_TENSOR_TIME_MIX_W1, "blk.%d.time_mix_w1" },481 { LLM_TENSOR_TIME_MIX_W2, "blk.%d.time_mix_w2" },482 { LLM_TENSOR_TIME_MIX_LERP_X, "blk.%d.time_mix_lerp_x" },483 { LLM_TENSOR_TIME_MIX_LERP_W, "blk.%d.time_mix_lerp_w" },484 { LLM_TENSOR_TIME_MIX_LERP_K, "blk.%d.time_mix_lerp_k" },485 { LLM_TENSOR_TIME_MIX_LERP_V, "blk.%d.time_mix_lerp_v" },486 { LLM_TENSOR_TIME_MIX_LERP_R, "blk.%d.time_mix_lerp_r" },487 { LLM_TENSOR_TIME_MIX_LERP_G, "blk.%d.time_mix_lerp_g" },488 { LLM_TENSOR_TIME_MIX_LERP_FUSED, "blk.%d.time_mix_lerp_fused" },489 { LLM_TENSOR_TIME_MIX_FIRST, "blk.%d.time_mix_first" },490 { LLM_TENSOR_TIME_MIX_DECAY, "blk.%d.time_mix_decay" },491 { LLM_TENSOR_TIME_MIX_DECAY_W1, "blk.%d.time_mix_decay_w1" },492 { LLM_TENSOR_TIME_MIX_DECAY_W2, "blk.%d.time_mix_decay_w2" },493 { LLM_TENSOR_TIME_MIX_KEY, "blk.%d.time_mix_key" },494 { LLM_TENSOR_TIME_MIX_VALUE, "blk.%d.time_mix_value" },495 { LLM_TENSOR_TIME_MIX_RECEPTANCE, "blk.%d.time_mix_receptance" },496 { LLM_TENSOR_TIME_MIX_GATE, "blk.%d.time_mix_gate" },497 { LLM_TENSOR_TIME_MIX_LN, "blk.%d.time_mix_ln" },498 { LLM_TENSOR_TIME_MIX_OUTPUT, "blk.%d.time_mix_output" },499 { LLM_TENSOR_CHANNEL_MIX_LERP_K, "blk.%d.channel_mix_lerp_k" },500 { LLM_TENSOR_CHANNEL_MIX_LERP_R, "blk.%d.channel_mix_lerp_r" },501 { LLM_TENSOR_CHANNEL_MIX_KEY, "blk.%d.channel_mix_key" },502 { LLM_TENSOR_CHANNEL_MIX_VALUE, "blk.%d.channel_mix_value" },503 { LLM_TENSOR_CHANNEL_MIX_RECEPTANCE, "blk.%d.channel_mix_receptance" },504 { LLM_TENSOR_TIME_MIX_W0, "blk.%d.time_mix_w0" },505 { LLM_TENSOR_TIME_MIX_A0, "blk.%d.time_mix_a0" },506 { LLM_TENSOR_TIME_MIX_A1, "blk.%d.time_mix_a1" },507 { LLM_TENSOR_TIME_MIX_A2, "blk.%d.time_mix_a2" },508 { LLM_TENSOR_TIME_MIX_V0, "blk.%d.time_mix_v0" },509 { LLM_TENSOR_TIME_MIX_V1, "blk.%d.time_mix_v1" },510 { LLM_TENSOR_TIME_MIX_V2, "blk.%d.time_mix_v2" },511 { LLM_TENSOR_TIME_MIX_G1, "blk.%d.time_mix_g1" },512 { LLM_TENSOR_TIME_MIX_G2, "blk.%d.time_mix_g2" },513 { LLM_TENSOR_TIME_MIX_K_K, "blk.%d.time_mix_k_k" },514 { LLM_TENSOR_TIME_MIX_K_A, "blk.%d.time_mix_k_a" },515 { LLM_TENSOR_TIME_MIX_R_K, "blk.%d.time_mix_r_k" },516 { LLM_TENSOR_CONV1D, "conv1d" },517 { LLM_TENSOR_CONVNEXT_DW, "convnext.%d.dw" },518 { LLM_TENSOR_CONVNEXT_NORM, "convnext.%d.norm" },519 { LLM_TENSOR_CONVNEXT_PW1, "convnext.%d.pw1" },520 { LLM_TENSOR_CONVNEXT_PW2, "convnext.%d.pw2" },521 { LLM_TENSOR_CONVNEXT_GAMMA, "convnext.%d.gamma" },522 { LLM_TENSOR_POS_NET_CONV1, "posnet.%d.conv1" },523 { LLM_TENSOR_POS_NET_CONV2, "posnet.%d.conv2" },524 { LLM_TENSOR_POS_NET_NORM, "posnet.%d.norm" },525 { LLM_TENSOR_POS_NET_NORM1, "posnet.%d.norm1" },526 { LLM_TENSOR_POS_NET_NORM2, "posnet.%d.norm2" },527 { LLM_TENSOR_POS_NET_ATTN_NORM, "posnet.%d.attn_norm" },528 { LLM_TENSOR_POS_NET_ATTN_Q, "posnet.%d.attn_q" },529 { LLM_TENSOR_POS_NET_ATTN_K, "posnet.%d.attn_k" },530 { LLM_TENSOR_POS_NET_ATTN_V, "posnet.%d.attn_v" },531 { LLM_TENSOR_POS_NET_ATTN_OUT, "posnet.%d.attn_output" },532 { LLM_TENSOR_ATTN_SINKS, "blk.%d.attn_sinks" },533 { LLM_TENSOR_SHORTCONV_CONV, "blk.%d.shortconv.conv" },534 { LLM_TENSOR_SHORTCONV_INPROJ, "blk.%d.shortconv.in_proj" },535 { LLM_TENSOR_SHORTCONV_OUTPROJ, "blk.%d.shortconv.out_proj" },536 { LLM_TENSOR_FFN_GATE_CHEXPS, "blk.%d.ffn_gate_chexps" },537 { LLM_TENSOR_FFN_DOWN_CHEXPS, "blk.%d.ffn_down_chexps" },538 { LLM_TENSOR_FFN_UP_CHEXPS, "blk.%d.ffn_up_chexps" },539 { LLM_TENSOR_VISEXP_ATTN_QKV, "blk.%d.vis_attn_qkv" },540 { LLM_TENSOR_VISEXP_ATTN_OUT, "blk.%d.vis_attn_output" },541 { LLM_TENSOR_VISEXP_FFN_GATE, "blk.%d.vis_gate" },542 { LLM_TENSOR_VISEXP_FFN_DOWN, "blk.%d.vis_down" },543 { LLM_TENSOR_VISEXP_FFN_UP, "blk.%d.vis_up" },544 { LLM_TENSOR_INDEXER_K_NORM, "blk.%d.indexer.k_norm" },545 { LLM_TENSOR_INDEXER_PROJ, "blk.%d.indexer.proj" },546 { LLM_TENSOR_INDEXER_ATTN_K, "blk.%d.indexer.attn_k" },547 { LLM_TENSOR_INDEXER_ATTN_Q_B, "blk.%d.indexer.attn_q_b" },548};549 550// declare information about the model weight tensors:551// - the layer in which the tensor is going to be used. this is needed in order to assign the correct buffer type for the weight552// - the operator which is going to use the weight. this is needed to determine if the respective backend supports the operator553//554// for example, input layers are usually assigned to CPU/host buffer types555//556// a mismatch between the declared information and the actual layer/op in which the tensor is used can lead to sub-optimal557// assignment of the buffer types and extra overhead during computation558// example: https://github.com/ggml-org/llama.cpp/pull/17548559//560static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {561 {LLM_TENSOR_TOKEN_EMBD, {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},562 {LLM_TENSOR_POS_EMBD, {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},563 {LLM_TENSOR_TOKEN_TYPES, {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},564 {LLM_TENSOR_TOKEN_EMBD_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, // do the norms on the first layer (not the input layer)565 {LLM_TENSOR_OUTPUT, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},566 {LLM_TENSOR_CLS, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},567 {LLM_TENSOR_CLS_OUT, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},568 {LLM_TENSOR_CLS_NORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},569 {LLM_TENSOR_DENSE_2_OUT, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output570 {LLM_TENSOR_DENSE_3_OUT, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output571 {LLM_TENSOR_OUTPUT_NORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},572 {LLM_TENSOR_OUTPUT_NORM_LFM2, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},573 {LLM_TENSOR_DEC_OUTPUT_NORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},574 {LLM_TENSOR_ENC_OUTPUT_NORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},575 {LLM_TENSOR_ROPE_FREQS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},576 {LLM_TENSOR_ROPE_FACTORS_LONG, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},577 {LLM_TENSOR_ROPE_FACTORS_SHORT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}},578 {LLM_TENSOR_ATTN_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},579 {LLM_TENSOR_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},580 {LLM_TENSOR_ATTN_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},581 {LLM_TENSOR_ATTN_QKV, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},582 {LLM_TENSOR_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},583 {LLM_TENSOR_ATTN_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},584 {LLM_TENSOR_FFN_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},585 {LLM_TENSOR_FFN_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},586 {LLM_TENSOR_FFN_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},587 {LLM_TENSOR_FFN_DOWN_SHEXP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},588 {LLM_TENSOR_FFN_GATE_SHEXP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},589 {LLM_TENSOR_FFN_UP_SHEXP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},590 {LLM_TENSOR_ATTN_Q_A, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},591 {LLM_TENSOR_ATTN_Q_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},592 {LLM_TENSOR_ATTN_KV_A_MQA, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},593 {LLM_TENSOR_ATTN_KV_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},594 {LLM_TENSOR_ATTN_K_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},595 {LLM_TENSOR_ATTN_V_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},596 {LLM_TENSOR_ATTN_SINKS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SCALE}},597 {LLM_TENSOR_DEC_ATTN_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},598 {LLM_TENSOR_DEC_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},599 {LLM_TENSOR_DEC_ATTN_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},600 {LLM_TENSOR_DEC_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},601 {LLM_TENSOR_DEC_CROSS_ATTN_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},602 {LLM_TENSOR_DEC_CROSS_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},603 {LLM_TENSOR_DEC_CROSS_ATTN_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},604 {LLM_TENSOR_DEC_CROSS_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},605 {LLM_TENSOR_DEC_FFN_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},606 {LLM_TENSOR_DEC_FFN_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},607 {LLM_TENSOR_DEC_FFN_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},608 {LLM_TENSOR_ENC_ATTN_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},609 {LLM_TENSOR_ENC_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},610 {LLM_TENSOR_ENC_ATTN_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},611 {LLM_TENSOR_ENC_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},612 {LLM_TENSOR_ENC_FFN_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},613 {LLM_TENSOR_ENC_FFN_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},614 {LLM_TENSOR_ENC_FFN_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},615 {LLM_TENSOR_FFN_GATE_INP_SHEXP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},616 {LLM_TENSOR_FFN_GATE_INP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},617 {LLM_TENSOR_SSM_IN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},618 {LLM_TENSOR_SSM_X, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},619 {LLM_TENSOR_SSM_DT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},620 {LLM_TENSOR_SSM_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},621 {LLM_TENSOR_SSM_ALPHA, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},622 {LLM_TENSOR_SSM_BETA_ALPHA, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},623 {LLM_TENSOR_TIME_MIX_W1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},624 {LLM_TENSOR_TIME_MIX_W2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},625 {LLM_TENSOR_TIME_MIX_A1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},626 {LLM_TENSOR_TIME_MIX_A2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},627 {LLM_TENSOR_TIME_MIX_V1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},628 {LLM_TENSOR_TIME_MIX_V2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},629 {LLM_TENSOR_TIME_MIX_G1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},630 {LLM_TENSOR_TIME_MIX_G2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},631 {LLM_TENSOR_TIME_MIX_DECAY_W1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},632 {LLM_TENSOR_TIME_MIX_DECAY_W2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},633 {LLM_TENSOR_TIME_MIX_KEY, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},634 {LLM_TENSOR_TIME_MIX_VALUE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},635 {LLM_TENSOR_TIME_MIX_RECEPTANCE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},636 {LLM_TENSOR_TIME_MIX_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},637 {LLM_TENSOR_TIME_MIX_OUTPUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},638 {LLM_TENSOR_CHANNEL_MIX_KEY, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},639 {LLM_TENSOR_CHANNEL_MIX_RECEPTANCE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},640 {LLM_TENSOR_CHANNEL_MIX_VALUE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},641 {LLM_TENSOR_FFN_ACT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_DIV}},642 {LLM_TENSOR_SSM_CONV1D, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SSM_CONV}},643 {LLM_TENSOR_SSM_A, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SSM_SCAN}},644 {LLM_TENSOR_SSM_A_NOSCAN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, // a version of SSM_A used for MUL instead of SSM_SCAN645 {LLM_TENSOR_SSM_DT_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},646 {LLM_TENSOR_SSM_B_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},647 {LLM_TENSOR_SSM_C_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},648 {LLM_TENSOR_SSM_D, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},649 {LLM_TENSOR_SSM_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},650 // Kimi KDA - Conv tensors are 4D [d_conv, 1, d_inner, 1], reshaped to 2D at runtime651 {LLM_TENSOR_SSM_CONV1D_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},652 {LLM_TENSOR_SSM_CONV1D_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},653 {LLM_TENSOR_SSM_CONV1D_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},654 {LLM_TENSOR_SSM_F_A, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},655 {LLM_TENSOR_SSM_F_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},656 {LLM_TENSOR_SSM_BETA, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},657 {LLM_TENSOR_SSM_G_A, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},658 {LLM_TENSOR_SSM_G_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},659 {LLM_TENSOR_TIME_MIX_LERP_X, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},660 {LLM_TENSOR_TIME_MIX_LN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},661 {LLM_TENSOR_CHANNEL_MIX_LERP_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},662 {LLM_TENSOR_CHANNEL_MIX_LERP_R, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},663 {LLM_TENSOR_TIME_MIX_K_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},664 {LLM_TENSOR_TIME_MIX_K_A, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},665 {LLM_TENSOR_TIME_MIX_R_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},666 {LLM_TENSOR_TIME_MIX_LERP_W, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},667 {LLM_TENSOR_TIME_MIX_LERP_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},668 {LLM_TENSOR_TIME_MIX_LERP_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},669 {LLM_TENSOR_TIME_MIX_LERP_R, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},670 {LLM_TENSOR_TIME_MIX_LERP_G, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},671 {LLM_TENSOR_TIME_MIX_LERP_FUSED, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},672 {LLM_TENSOR_TIME_MIX_DECAY, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},673 {LLM_TENSOR_TIME_MIX_W0, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},674 {LLM_TENSOR_TIME_MIX_A0, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},675 {LLM_TENSOR_TIME_MIX_V0, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},676 {LLM_TENSOR_TIME_MIX_FIRST, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_RWKV_WKV6}},677 {LLM_TENSOR_ATTN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},678 {LLM_TENSOR_ATTN_NORM_2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},679 {LLM_TENSOR_ATTN_OUT_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},680 {LLM_TENSOR_ATTN_POST_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},681 {LLM_TENSOR_FFN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},682 {LLM_TENSOR_FFN_PRE_NORM_2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},683 {LLM_TENSOR_FFN_POST_NORM_1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},684 {LLM_TENSOR_FFN_POST_NORM_2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},685 {LLM_TENSOR_FFN_POST_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},686 {LLM_TENSOR_FFN_NORM_EXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},687 {LLM_TENSOR_ATTN_Q_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},688 {LLM_TENSOR_ATTN_K_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},689 {LLM_TENSOR_LAYER_OUT_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},690 {LLM_TENSOR_LAYER_OUT_SCALE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},691 {LLM_TENSOR_ATTN_Q_A_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},692 {LLM_TENSOR_ATTN_KV_A_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},693 {LLM_TENSOR_ATTN_SUB_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},694 {LLM_TENSOR_FFN_SUB_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},695 {LLM_TENSOR_DEC_ATTN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},696 {LLM_TENSOR_DEC_CROSS_ATTN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},697 {LLM_TENSOR_DEC_FFN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},698 {LLM_TENSOR_ENC_ATTN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},699 {LLM_TENSOR_ENC_FFN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},700 {LLM_TENSOR_DEC_ATTN_REL_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_GET_ROWS}},701 {LLM_TENSOR_ENC_ATTN_REL_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_GET_ROWS}},702 {LLM_TENSOR_FFN_DOWN_EXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},703 {LLM_TENSOR_FFN_GATE_EXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},704 {LLM_TENSOR_FFN_UP_EXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},705 {LLM_TENSOR_FFN_GATE_UP_EXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},706 {LLM_TENSOR_FFN_DOWN_CHEXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},707 {LLM_TENSOR_FFN_GATE_CHEXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},708 {LLM_TENSOR_FFN_UP_CHEXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}},709 {LLM_TENSOR_FFN_EXP_PROBS_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}},710 // altup / laurel (gemma 3n)711 {LLM_TENSOR_PER_LAYER_TOKEN_EMBD, {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}},712 {LLM_TENSOR_PER_LAYER_MODEL_PROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},713 {LLM_TENSOR_PER_LAYER_PROJ_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},714 {LLM_TENSOR_ALTUP_PROJ, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},715 {LLM_TENSOR_ALTUP_UNEMBD_PROJ, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},716 {LLM_TENSOR_PER_LAYER_INP_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},717 {LLM_TENSOR_PER_LAYER_PROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},718 {LLM_TENSOR_PER_LAYER_POST_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},719 {LLM_TENSOR_ALTUP_CORRECT_COEF, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},720 {LLM_TENSOR_ALTUP_CORRECT_SCALE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},721 {LLM_TENSOR_ALTUP_PREDICT_COEF, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},722 {LLM_TENSOR_ALTUP_ROUTER, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},723 {LLM_TENSOR_ALTUP_ROUTER_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},724 {LLM_TENSOR_LAUREL_L, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},725 {LLM_TENSOR_LAUREL_R, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},726 {LLM_TENSOR_LAUREL_POST_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},727 // this tensor is loaded for T5, but never used728 {LLM_TENSOR_DEC_CROSS_ATTN_REL_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_NONE}},729 {LLM_TENSOR_CONV1D, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}},730 {LLM_TENSOR_POS_NET_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},731 {LLM_TENSOR_POS_NET_NORM1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},732 {LLM_TENSOR_POS_NET_NORM2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},733 {LLM_TENSOR_POS_NET_CONV1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}},734 {LLM_TENSOR_POS_NET_CONV2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}},735 {LLM_TENSOR_POS_NET_ATTN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},736 {LLM_TENSOR_POS_NET_ATTN_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},737 {LLM_TENSOR_POS_NET_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},738 {LLM_TENSOR_POS_NET_ATTN_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},739 {LLM_TENSOR_POS_NET_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},740 {LLM_TENSOR_CONVNEXT_DW, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}},741 {LLM_TENSOR_CONVNEXT_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},742 {LLM_TENSOR_CONVNEXT_PW1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},743 {LLM_TENSOR_CONVNEXT_PW2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},744 {LLM_TENSOR_CONVNEXT_GAMMA, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},745 {LLM_TENSOR_SHORTCONV_CONV, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SSM_CONV}},746 {LLM_TENSOR_SHORTCONV_INPROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},747 {LLM_TENSOR_SHORTCONV_OUTPROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},748 {LLM_TENSOR_VISEXP_ATTN_QKV, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},749 {LLM_TENSOR_VISEXP_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},750 {LLM_TENSOR_VISEXP_FFN_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},751 {LLM_TENSOR_VISEXP_FFN_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},752 {LLM_TENSOR_VISEXP_FFN_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},753 {LLM_TENSOR_INDEXER_K_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},754 {LLM_TENSOR_INDEXER_PROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},755 {LLM_TENSOR_INDEXER_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},756 {LLM_TENSOR_INDEXER_ATTN_Q_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},757 // NextN/MTP tensors are currently ignored (reserved for future MTP support)758 // These tensors only exist in the last layer(s) and are treated as output tensors759 {LLM_TENSOR_NEXTN_EH_PROJ, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},760 {LLM_TENSOR_NEXTN_EMBED_TOKENS, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_GET_ROWS}},761 {LLM_TENSOR_NEXTN_ENORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_GET_ROWS}},762 {LLM_TENSOR_NEXTN_HNORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},763 {LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},764 {LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}},765 // Nemotron 3 Super766 {LLM_TENSOR_FFN_LATENT_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},767 {LLM_TENSOR_FFN_LATENT_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}},768};769 770LLM_KV::LLM_KV(llm_arch arch, const char * suffix) : arch(arch), suffix(suffix) {}771 772std::string LLM_KV::operator()(llm_kv kv) const {773 std::string name = ::format(LLM_KV_NAMES.at(kv), LLM_ARCH_NAMES.at(arch));774 775 if (suffix != nullptr) {776 name += ".";777 name += suffix;778 }779 780 return name;781}782 783LLM_TN_IMPL::LLM_TN_IMPL(llm_arch arch, llm_tensor tensor, const char * suffix, int bid, int xid)784 : arch(arch), tensor(tensor), suffix(suffix), bid(bid), xid(xid) {}785 786std::string LLM_TN_IMPL::str() const {787 if (LLM_TENSOR_NAMES.find(tensor) == LLM_TENSOR_NAMES.end()) {788 GGML_ABORT("unknown tensor name for tensor id %d", static_cast<int>(tensor));789 }790 791 std::string name = ::format(LLM_TENSOR_NAMES.at(tensor), bid, xid);792 if (suffix != nullptr) {793 name += ".";794 name += suffix;795 }796 797 return name;798}799 800std::vector<llm_arch> llm_arch_all() {801 std::vector<llm_arch> ret;802 ret.reserve(LLM_ARCH_NAMES.size());803 for (const auto & [arch, _] : LLM_ARCH_NAMES) {804 ret.push_back(arch);805 }806 return ret;807}808 809const char * llm_arch_name(llm_arch arch) {810 auto it = LLM_ARCH_NAMES.find(arch);811 if (it == LLM_ARCH_NAMES.end()) {812 return "unknown";813 }814 return it->second;815}816 817llm_arch llm_arch_from_string(const std::string & name) {818 for (const auto & kv : LLM_ARCH_NAMES) { // NOLINT819 if (kv.second == name) {820 return kv.first;821 }822 }823 824 return LLM_ARCH_UNKNOWN;825}826 827const llm_tensor_info & llm_tensor_info_for(llm_tensor tensor) {828 return LLM_TENSOR_INFOS.at(tensor);829}830 831bool llm_arch_is_recurrent(const llm_arch & arch) {832 switch (arch) {833 case LLM_ARCH_MAMBA:834 case LLM_ARCH_MAMBA2:835 case LLM_ARCH_RWKV6:836 case LLM_ARCH_RWKV6QWEN2:837 case LLM_ARCH_RWKV7:838 case LLM_ARCH_ARWKV7:839 return true;840 default:841 return false;842 }843}844 845bool llm_arch_is_hybrid(const llm_arch & arch) {846 switch (arch) {847 case LLM_ARCH_JAMBA:848 case LLM_ARCH_FALCON_H1:849 case LLM_ARCH_PLAMO2:850 case LLM_ARCH_GRANITE_HYBRID:851 case LLM_ARCH_LFM2:852 case LLM_ARCH_LFM2MOE:853 case LLM_ARCH_NEMOTRON_H:854 case LLM_ARCH_NEMOTRON_H_MOE:855 case LLM_ARCH_QWEN3NEXT:856 case LLM_ARCH_KIMI_LINEAR:857 case LLM_ARCH_QWEN35:858 case LLM_ARCH_QWEN35MOE:859 return true;860 default:861 return false;862 }863}864 865bool llm_arch_is_diffusion(const llm_arch & arch) {866 switch (arch) {867 case LLM_ARCH_DREAM:868 case LLM_ARCH_LLADA:869 case LLM_ARCH_LLADA_MOE:870 case LLM_ARCH_RND1:871 return true;872 default:873 return false;874 }875}876 877bool llm_arch_supports_sm_tensor(const llm_arch & arch) {878 switch (arch) {879 case LLM_ARCH_GROK:880 case LLM_ARCH_MPT:881 case LLM_ARCH_PLAMO2:882 case LLM_ARCH_MINICPM3:883 case LLM_ARCH_GEMMA3N:884 case LLM_ARCH_MAMBA:885 case LLM_ARCH_MAMBA2:886 case LLM_ARCH_JAMBA:887 case LLM_ARCH_FALCON_H1:888 case LLM_ARCH_OLMO2:889 case LLM_ARCH_OLMOE:890 case LLM_ARCH_DEEPSEEK2:891 case LLM_ARCH_GLM_DSA:892 case LLM_ARCH_BITNET:893 case LLM_ARCH_T5:894 case LLM_ARCH_NEMOTRON_H:895 case LLM_ARCH_NEMOTRON_H_MOE:896 case LLM_ARCH_GRANITE_HYBRID:897 case LLM_ARCH_LFM2:898 case LLM_ARCH_LFM2MOE:899 case LLM_ARCH_MINIMAX_M2:900 case LLM_ARCH_MISTRAL4:901 case LLM_ARCH_KIMI_LINEAR:902 return false;903 default:904 return true;905 }906}907