Safetensors
GGUF
Turkish
llama
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use tda45/TdAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tda45/TdAI", filename="llama.cpp/models/ggml-vocab-aquila.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tda45/TdAI with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./llama-cli -hf tda45/TdAI
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf tda45/TdAI # Run inference directly in the terminal: ./build/bin/llama-cli -hf tda45/TdAI
Use Docker
docker model run hf.co/tda45/TdAI
- LM Studio
- Jan
- Ollama
How to use tda45/TdAI with Ollama:
ollama run hf.co/tda45/TdAI
- Unsloth Studio
How to use tda45/TdAI with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tda45/TdAI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tda45/TdAI to start chatting
- Atomic Chat new
- Docker Model Runner
How to use tda45/TdAI with Docker Model Runner:
docker model run hf.co/tda45/TdAI
- Lemonade
How to use tda45/TdAI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tda45/TdAI
Run and chat with the model
lemonade run user.TdAI-{{QUANT_TAG}}List all available models
lemonade list
| static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = { | |
| { LLM_ARCH_CLIP, "clip" }, // dummy, only used by llama-quantize | |
| { LLM_ARCH_LLAMA, "llama" }, | |
| { LLM_ARCH_LLAMA4, "llama4" }, | |
| { LLM_ARCH_DECI, "deci" }, | |
| { LLM_ARCH_FALCON, "falcon" }, | |
| { LLM_ARCH_GROK, "grok" }, | |
| { LLM_ARCH_GPT2, "gpt2" }, | |
| { LLM_ARCH_GPTJ, "gptj" }, | |
| { LLM_ARCH_GPTNEOX, "gptneox" }, | |
| { LLM_ARCH_MPT, "mpt" }, | |
| { LLM_ARCH_BAICHUAN, "baichuan" }, | |
| { LLM_ARCH_STARCODER, "starcoder" }, | |
| { LLM_ARCH_REFACT, "refact" }, | |
| { LLM_ARCH_BERT, "bert" }, | |
| { LLM_ARCH_MODERN_BERT, "modern-bert" }, | |
| { LLM_ARCH_NOMIC_BERT, "nomic-bert" }, | |
| { LLM_ARCH_NOMIC_BERT_MOE, "nomic-bert-moe" }, | |
| { LLM_ARCH_NEO_BERT, "neo-bert" }, | |
| { LLM_ARCH_JINA_BERT_V2, "jina-bert-v2" }, | |
| { LLM_ARCH_JINA_BERT_V3, "jina-bert-v3" }, | |
| { LLM_ARCH_EUROBERT, "eurobert" }, | |
| { LLM_ARCH_BLOOM, "bloom" }, | |
| { LLM_ARCH_STABLELM, "stablelm" }, | |
| { LLM_ARCH_QWEN, "qwen" }, | |
| { LLM_ARCH_QWEN2, "qwen2" }, | |
| { LLM_ARCH_QWEN2MOE, "qwen2moe" }, | |
| { LLM_ARCH_QWEN2VL, "qwen2vl" }, | |
| { LLM_ARCH_QWEN3, "qwen3" }, | |
| { LLM_ARCH_QWEN3MOE, "qwen3moe" }, | |
| { LLM_ARCH_QWEN3NEXT, "qwen3next" }, | |
| { LLM_ARCH_QWEN3VL, "qwen3vl" }, | |
| { LLM_ARCH_QWEN3VLMOE, "qwen3vlmoe" }, | |
| { LLM_ARCH_QWEN35, "qwen35" }, | |
| { LLM_ARCH_QWEN35MOE, "qwen35moe" }, | |
| { LLM_ARCH_PHI2, "phi2" }, | |
| { LLM_ARCH_PHI3, "phi3" }, | |
| { LLM_ARCH_PHIMOE, "phimoe" }, | |
| { LLM_ARCH_PLAMO, "plamo" }, | |
| { LLM_ARCH_PLAMO2, "plamo2" }, | |
| { LLM_ARCH_PLAMO3, "plamo3" }, | |
| { LLM_ARCH_CODESHELL, "codeshell" }, | |
| { LLM_ARCH_ORION, "orion" }, | |
| { LLM_ARCH_INTERNLM2, "internlm2" }, | |
| { LLM_ARCH_MINICPM, "minicpm" }, | |
| { LLM_ARCH_MINICPM3, "minicpm3" }, | |
| { LLM_ARCH_GEMMA, "gemma" }, | |
| { LLM_ARCH_GEMMA2, "gemma2" }, | |
| { LLM_ARCH_GEMMA3, "gemma3" }, | |
| { LLM_ARCH_GEMMA3N, "gemma3n" }, | |
| { LLM_ARCH_GEMMA4, "gemma4" }, | |
| { LLM_ARCH_GEMMA4_ASSISTANT, "gemma4-assistant" }, | |
| { LLM_ARCH_GEMMA_EMBEDDING, "gemma-embedding" }, | |
| { LLM_ARCH_STARCODER2, "starcoder2" }, | |
| { LLM_ARCH_MAMBA, "mamba" }, | |
| { LLM_ARCH_MAMBA2, "mamba2" }, | |
| { LLM_ARCH_JAMBA, "jamba" }, | |
| { LLM_ARCH_FALCON_H1, "falcon-h1" }, | |
| { LLM_ARCH_XVERSE, "xverse" }, | |
| { LLM_ARCH_COMMAND_R, "command-r" }, | |
| { LLM_ARCH_COHERE2, "cohere2" }, | |
| { LLM_ARCH_COHERE2MOE, "cohere2moe" }, | |
| { LLM_ARCH_DBRX, "dbrx" }, | |
| { LLM_ARCH_OLMO, "olmo" }, | |
| { LLM_ARCH_OLMO2, "olmo2" }, | |
| { LLM_ARCH_OLMOE, "olmoe" }, | |
| { LLM_ARCH_OPENELM, "openelm" }, | |
| { LLM_ARCH_ARCTIC, "arctic" }, | |
| { LLM_ARCH_DEEPSEEK, "deepseek" }, | |
| { LLM_ARCH_DEEPSEEK2, "deepseek2" }, | |
| { LLM_ARCH_DEEPSEEK2OCR, "deepseek2-ocr" }, | |
| { LLM_ARCH_DEEPSEEK32, "deepseek32" }, | |
| { LLM_ARCH_DEEPSEEK4, "deepseek4" }, | |
| { LLM_ARCH_CHATGLM, "chatglm" }, | |
| { LLM_ARCH_GLM4, "glm4" }, | |
| { LLM_ARCH_GLM4_MOE, "glm4moe" }, | |
| { LLM_ARCH_GLM_DSA, "glm-dsa" }, | |
| { LLM_ARCH_BITNET, "bitnet" }, | |
| { LLM_ARCH_T5, "t5" }, | |
| { LLM_ARCH_T5ENCODER, "t5encoder" }, | |
| { LLM_ARCH_JAIS, "jais" }, | |
| { LLM_ARCH_JAIS2, "jais2" }, | |
| { LLM_ARCH_NEMOTRON, "nemotron" }, | |
| { LLM_ARCH_NEMOTRON_H, "nemotron_h" }, | |
| { LLM_ARCH_NEMOTRON_H_MOE, "nemotron_h_moe" }, | |
| { LLM_ARCH_EXAONE, "exaone" }, | |
| { LLM_ARCH_EXAONE4, "exaone4" }, | |
| { LLM_ARCH_EXAONE_MOE, "exaone-moe" }, | |
| { LLM_ARCH_RWKV6, "rwkv6" }, | |
| { LLM_ARCH_RWKV6QWEN2, "rwkv6qwen2" }, | |
| { LLM_ARCH_RWKV7, "rwkv7" }, | |
| { LLM_ARCH_ARWKV7, "arwkv7" }, | |
| { LLM_ARCH_GRANITE, "granite" }, | |
| { LLM_ARCH_GRANITE_MOE, "granitemoe" }, | |
| { LLM_ARCH_GRANITE_HYBRID, "granitehybrid" }, | |
| { LLM_ARCH_CHAMELEON, "chameleon" }, | |
| { LLM_ARCH_WAVTOKENIZER_DEC, "wavtokenizer-dec" }, | |
| { LLM_ARCH_PLM, "plm" }, | |
| { LLM_ARCH_BAILINGMOE, "bailingmoe" }, | |
| { LLM_ARCH_BAILINGMOE2, "bailingmoe2" }, | |
| { LLM_ARCH_DOTS1, "dots1" }, | |
| { LLM_ARCH_ARCEE, "arcee" }, | |
| { LLM_ARCH_AFMOE, "afmoe" }, | |
| { LLM_ARCH_ERNIE4_5, "ernie4_5" }, | |
| { LLM_ARCH_ERNIE4_5_MOE, "ernie4_5-moe" }, | |
| { LLM_ARCH_HUNYUAN_MOE, "hunyuan-moe" }, | |
| { LLM_ARCH_HUNYUAN_DENSE, "hunyuan-dense" }, | |
| { LLM_ARCH_HUNYUAN_VL, "hunyuan_vl" }, | |
| { LLM_ARCH_SMOLLM3, "smollm3" }, | |
| { LLM_ARCH_OPENAI_MOE, "gpt-oss" }, | |
| { LLM_ARCH_LFM2, "lfm2" }, | |
| { LLM_ARCH_LFM2MOE, "lfm2moe" }, | |
| { LLM_ARCH_DREAM, "dream" }, | |
| { LLM_ARCH_SMALLTHINKER, "smallthinker" }, | |
| { LLM_ARCH_LLADA, "llada" }, | |
| { LLM_ARCH_LLADA_MOE, "llada-moe" }, | |
| { LLM_ARCH_SEED_OSS, "seed_oss" }, | |
| { LLM_ARCH_GROVEMOE, "grovemoe" }, | |
| { LLM_ARCH_APERTUS, "apertus" }, | |
| { LLM_ARCH_MINIMAX_M2, "minimax-m2" }, | |
| { LLM_ARCH_COGVLM, "cogvlm" }, | |
| { LLM_ARCH_RND1, "rnd1" }, | |
| { LLM_ARCH_PANGU_EMBED, "pangu-embedded" }, | |
| { LLM_ARCH_MISTRAL3, "mistral3" }, | |
| { LLM_ARCH_EAGLE3, "eagle3" }, | |
| { LLM_ARCH_DFLASH, "dflash" }, | |
| { LLM_ARCH_MISTRAL4, "mistral4" }, | |
| { LLM_ARCH_PADDLEOCR, "paddleocr" }, | |
| { LLM_ARCH_MIMO2, "mimo2" }, | |
| { LLM_ARCH_STEP35, "step35" }, | |
| { LLM_ARCH_LLAMA_EMBED, "llama-embed" }, | |
| { LLM_ARCH_MAINCODER, "maincoder" }, | |
| { LLM_ARCH_KIMI_LINEAR, "kimi-linear" }, | |
| { LLM_ARCH_TALKIE, "talkie" }, | |
| { LLM_ARCH_MELLUM, "mellum" }, | |
| { LLM_ARCH_UNKNOWN, "(unknown)" }, | |
| }; | |
| static const std::map<llm_kv, const char *> LLM_KV_NAMES = { | |
| { LLM_KV_GENERAL_TYPE, "general.type" }, | |
| { LLM_KV_GENERAL_ARCHITECTURE, "general.architecture" }, | |
| { LLM_KV_GENERAL_QUANTIZATION_VERSION, "general.quantization_version" }, | |
| { LLM_KV_GENERAL_ALIGNMENT, "general.alignment" }, | |
| { LLM_KV_GENERAL_FILE_TYPE, "general.file_type" }, | |
| { LLM_KV_GENERAL_SAMPLING_SEQUENCE, "general.sampling.sequence" }, | |
| { LLM_KV_GENERAL_SAMPLING_TOP_K, "general.sampling.top_k" }, | |
| { LLM_KV_GENERAL_SAMPLING_TOP_P, "general.sampling.top_p" }, | |
| { LLM_KV_GENERAL_SAMPLING_MIN_P, "general.sampling.min_p" }, | |
| { LLM_KV_GENERAL_SAMPLING_XTC_PROBABILITY, "general.sampling.xtc_probability" }, | |
| { LLM_KV_GENERAL_SAMPLING_XTC_THRESHOLD, "general.sampling.xtc_threshold" }, | |
| { LLM_KV_GENERAL_SAMPLING_TEMP, "general.sampling.temp" }, | |
| { LLM_KV_GENERAL_SAMPLING_PENALTY_LAST_N, "general.sampling.penalty_last_n" }, | |
| { LLM_KV_GENERAL_SAMPLING_PENALTY_REPEAT, "general.sampling.penalty_repeat" }, | |
| { LLM_KV_GENERAL_SAMPLING_MIROSTAT, "general.sampling.mirostat" }, | |
| { LLM_KV_GENERAL_SAMPLING_MIROSTAT_TAU, "general.sampling.mirostat_tau" }, | |
| { LLM_KV_GENERAL_SAMPLING_MIROSTAT_ETA, "general.sampling.mirostat_eta" }, | |
| { LLM_KV_GENERAL_NAME, "general.name" }, | |
| { LLM_KV_GENERAL_AUTHOR, "general.author" }, | |
| { LLM_KV_GENERAL_VERSION, "general.version" }, | |
| { LLM_KV_GENERAL_URL, "general.url" }, | |
| { LLM_KV_GENERAL_DESCRIPTION, "general.description" }, | |
| { LLM_KV_GENERAL_LICENSE, "general.license" }, | |
| { LLM_KV_GENERAL_SOURCE_URL, "general.source.url" }, | |
| { LLM_KV_GENERAL_SOURCE_HF_REPO, "general.source.huggingface.repository" }, | |
| { LLM_KV_VOCAB_SIZE, "%s.vocab_size" }, | |
| { LLM_KV_CONTEXT_LENGTH, "%s.context_length" }, | |
| { LLM_KV_EMBEDDING_LENGTH, "%s.embedding_length" }, | |
| { LLM_KV_EMBEDDING_LENGTH_OUT, "%s.embedding_length_out" }, | |
| { LLM_KV_EMBEDDING_LENGTH_PER_LAYER, "%s.embedding_length_per_layer_input" }, | |
| { LLM_KV_FEATURES_LENGTH, "%s.features_length" }, | |
| { LLM_KV_BLOCK_COUNT, "%s.block_count" }, | |
| { LLM_KV_LEADING_DENSE_BLOCK_COUNT, "%s.leading_dense_block_count" }, | |
| { LLM_KV_FEED_FORWARD_LENGTH, "%s.feed_forward_length" }, | |
| { LLM_KV_EXPERT_FEED_FORWARD_LENGTH, "%s.expert_feed_forward_length" }, | |
| { LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, "%s.expert_shared_feed_forward_length" }, | |
| { LLM_KV_EXPERT_CHUNK_FEED_FORWARD_LENGTH, "%s.expert_chunk_feed_forward_length" }, | |
| { LLM_KV_SWIGLU_CLAMP_EXP, "%s.swiglu_clamp_exp" }, | |
| { LLM_KV_SWIGLU_CLAMP_SHEXP, "%s.swiglu_clamp_shexp" }, | |
| { LLM_KV_USE_PARALLEL_RESIDUAL, "%s.use_parallel_residual" }, | |
| { LLM_KV_TENSOR_DATA_LAYOUT, "%s.tensor_data_layout" }, | |
| { LLM_KV_EXPERT_COUNT, "%s.expert_count" }, | |
| { LLM_KV_EXPERT_USED_COUNT, "%s.expert_used_count" }, | |
| { LLM_KV_EXPERT_SHARED_COUNT, "%s.expert_shared_count" }, | |
| { LLM_KV_EXPERT_GROUP_COUNT, "%s.expert_group_count" }, | |
| { LLM_KV_EXPERT_GROUP_USED_COUNT, "%s.expert_group_used_count" }, | |
| { LLM_KV_EXPERT_WEIGHTS_SCALE, "%s.expert_weights_scale" }, | |
| { LLM_KV_EXPERT_WEIGHTS_NORM, "%s.expert_weights_norm" }, | |
| { LLM_KV_EXPERT_GATING_FUNC, "%s.expert_gating_func" }, | |
| { LLM_KV_EXPERT_GROUP_SCALE, "%s.expert_group_scale" }, | |
| { LLM_KV_EXPERTS_PER_GROUP, "%s.experts_per_group" }, | |
| { LLM_KV_MOE_EVERY_N_LAYERS, "%s.moe_every_n_layers" }, | |
| { LLM_KV_MOE_LATENT_SIZE, "%s.moe_latent_size" }, | |
| { LLM_KV_NEXTN_PREDICT_LAYERS, "%s.nextn_predict_layers" }, | |
| { LLM_KV_NUM_DEEPSTACK_LAYERS, "%s.n_deepstack_layers" }, | |
| { LLM_KV_DEEPSTACK_MAPPING, "%s.deepstack_mapping" }, | |
| { LLM_KV_HIDDEN_ACT, "%s.hidden_activation" }, | |
| { LLM_KV_POOLING_TYPE, "%s.pooling_type" }, | |
| { LLM_KV_LOGIT_SCALE, "%s.logit_scale" }, | |
| { LLM_KV_DECODER_START_TOKEN_ID, "%s.decoder_start_token_id" }, | |
| { LLM_KV_DECODER_BLOCK_COUNT, "%s.decoder_block_count" }, | |
| { LLM_KV_ATTN_LOGIT_SOFTCAPPING, "%s.attn_logit_softcapping" }, | |
| { LLM_KV_ROUTER_LOGIT_SOFTCAPPING, "%s.router_logit_softcapping" }, | |
| { LLM_KV_FINAL_LOGIT_SOFTCAPPING, "%s.final_logit_softcapping" }, | |
| { LLM_KV_SWIN_NORM, "%s.swin_norm" }, | |
| { LLM_KV_RESCALE_EVERY_N_LAYERS, "%s.rescale_every_n_layers" }, | |
| { LLM_KV_TIME_MIX_EXTRA_DIM, "%s.time_mix_extra_dim" }, | |
| { LLM_KV_TIME_DECAY_EXTRA_DIM, "%s.time_decay_extra_dim" }, | |
| { LLM_KV_RESIDUAL_SCALE, "%s.residual_scale" }, | |
| { LLM_KV_EMBEDDING_SCALE, "%s.embedding_scale" }, | |
| { LLM_KV_TOKEN_SHIFT_COUNT, "%s.token_shift_count" }, | |
| { LLM_KV_INTERLEAVE_MOE_LAYER_STEP, "%s.interleave_moe_layer_step" }, | |
| { LLM_KV_FULL_ATTENTION_INTERVAL, "%s.full_attention_interval" }, | |
| { LLM_KV_ATTENTION_HEAD_COUNT, "%s.attention.head_count" }, | |
| { LLM_KV_ATTENTION_HEAD_COUNT_KV, "%s.attention.head_count_kv" }, | |
| { LLM_KV_ATTENTION_MAX_ALIBI_BIAS, "%s.attention.max_alibi_bias" }, | |
| { LLM_KV_ATTENTION_CLAMP_KQV, "%s.attention.clamp_kqv" }, | |
| { LLM_KV_ATTENTION_KEY_LENGTH, "%s.attention.key_length" }, | |
| { LLM_KV_ATTENTION_VALUE_LENGTH, "%s.attention.value_length" }, | |
| { LLM_KV_ATTENTION_LAYERNORM_EPS, "%s.attention.layer_norm_epsilon" }, | |
| { LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, "%s.attention.layer_norm_rms_epsilon" }, | |
| { LLM_KV_ATTENTION_GROUPNORM_EPS, "%s.attention.group_norm_epsilon" }, | |
| { LLM_KV_ATTENTION_GROUPNORM_GROUPS, "%s.attention.group_norm_groups" }, | |
| { LLM_KV_ATTENTION_CAUSAL, "%s.attention.causal" }, | |
| { LLM_KV_ATTENTION_Q_LORA_RANK, "%s.attention.q_lora_rank" }, | |
| { LLM_KV_ATTENTION_KV_LORA_RANK, "%s.attention.kv_lora_rank" }, | |
| { LLM_KV_ATTENTION_DECAY_LORA_RANK, "%s.attention.decay_lora_rank" }, | |
| { LLM_KV_ATTENTION_ICLR_LORA_RANK, "%s.attention.iclr_lora_rank" }, | |
| { LLM_KV_ATTENTION_VALUE_RESIDUAL_MIX_LORA_RANK, "%s.attention.value_residual_mix_lora_rank" }, | |
| { LLM_KV_ATTENTION_GATE_LORA_RANK, "%s.attention.gate_lora_rank" }, | |
| { LLM_KV_ATTENTION_RELATIVE_BUCKETS_COUNT, "%s.attention.relative_buckets_count" }, | |
| { LLM_KV_ATTENTION_SLIDING_WINDOW, "%s.attention.sliding_window" }, | |
| { LLM_KV_ATTENTION_SLIDING_WINDOW_PATTERN, "%s.attention.sliding_window_pattern" }, | |
| { LLM_KV_ATTENTION_SCALE, "%s.attention.scale" }, | |
| { LLM_KV_ATTENTION_OUTPUT_SCALE, "%s.attention.output_scale" }, | |
| { LLM_KV_ATTENTION_VALUE_SCALE, "%s.attention.value_scale" }, | |
| { LLM_KV_ATTENTION_TEMPERATURE_LENGTH, "%s.attention.temperature_length" }, | |
| { LLM_KV_ATTENTION_TEMPERATURE_SCALE, "%s.attention.temperature_scale" }, | |
| { LLM_KV_ATTENTION_KEY_LENGTH_MLA, "%s.attention.key_length_mla" }, | |
| { LLM_KV_ATTENTION_VALUE_LENGTH_MLA, "%s.attention.value_length_mla" }, | |
| { LLM_KV_ATTENTION_KEY_LENGTH_SWA, "%s.attention.key_length_swa" }, | |
| { LLM_KV_ATTENTION_VALUE_LENGTH_SWA, "%s.attention.value_length_swa" }, | |
| { LLM_KV_ATTENTION_INDEXER_HEAD_COUNT, "%s.attention.indexer.head_count" }, | |
| { LLM_KV_ATTENTION_INDEXER_KEY_LENGTH, "%s.attention.indexer.key_length" }, | |
| { LLM_KV_ATTENTION_INDEXER_TOP_K, "%s.attention.indexer.top_k" }, | |
| { LLM_KV_ATTENTION_OUTPUT_GROUP_COUNT, "%s.attention.output_group_count" }, | |
| { LLM_KV_ATTENTION_OUTPUT_LORA_RANK, "%s.attention.output_lora_rank" }, | |
| { LLM_KV_ATTENTION_COMPRESS_ROPE_FREQ_BASE, "%s.attention.compress_rope_freq_base" }, | |
| { LLM_KV_ATTENTION_COMPRESS_RATIOS, "%s.attention.compress_ratios" }, | |
| { LLM_KV_ATTENTION_SHARED_KV_LAYERS, "%s.attention.shared_kv_layers" }, | |
| { LLM_KV_ATTENTION_RECURRENT_LAYERS, "%s.attention.recurrent_layers" }, | |
| { LLM_KV_HYPER_CONNECTION_COUNT, "%s.hyper_connection.count" }, | |
| { LLM_KV_HYPER_CONNECTION_SINKHORN_ITERATIONS, "%s.hyper_connection.sinkhorn_iterations" }, | |
| { LLM_KV_HYPER_CONNECTION_EPSILON, "%s.hyper_connection.epsilon" }, | |
| { LLM_KV_HASH_LAYER_COUNT, "%s.hash_layer_count" }, | |
| { LLM_KV_ROPE_DIMENSION_COUNT, "%s.rope.dimension_count" }, | |
| { LLM_KV_ROPE_DIMENSION_COUNT_SWA, "%s.rope.dimension_count_swa" }, | |
| { LLM_KV_ROPE_DIMENSION_SECTIONS, "%s.rope.dimension_sections" }, | |
| { LLM_KV_ROPE_FREQ_BASE, "%s.rope.freq_base" }, | |
| { LLM_KV_ROPE_FREQ_BASE_SWA, "%s.rope.freq_base_swa" }, | |
| { LLM_KV_ROPE_SCALE_LINEAR, "%s.rope.scale_linear" }, | |
| { LLM_KV_ROPE_SCALING_TYPE, "%s.rope.scaling.type" }, | |
| { LLM_KV_ROPE_SCALING_FACTOR, "%s.rope.scaling.factor" }, | |
| { LLM_KV_ROPE_SCALING_ALPHA, "%s.rope.scaling.alpha" }, | |
| { LLM_KV_ROPE_SCALING_ATTN_FACTOR, "%s.rope.scaling.attn_factor" }, | |
| { LLM_KV_ROPE_SCALING_ORIG_CTX_LEN, "%s.rope.scaling.original_context_length" }, | |
| { LLM_KV_ROPE_SCALING_FINETUNED, "%s.rope.scaling.finetuned" }, | |
| { LLM_KV_ROPE_SCALING_YARN_LOG_MUL, "%s.rope.scaling.yarn_log_multiplier" }, | |
| { LLM_KV_ROPE_SCALING_YARN_EXT_FACTOR, "%s.rope.scaling.yarn_ext_factor" }, | |
| { LLM_KV_ROPE_SCALING_YARN_ATTN_FACTOR, "%s.rope.scaling.yarn_attn_factor" }, | |
| { LLM_KV_ROPE_SCALING_YARN_BETA_FAST, "%s.rope.scaling.yarn_beta_fast" }, | |
| { LLM_KV_ROPE_SCALING_YARN_BETA_SLOW, "%s.rope.scaling.yarn_beta_slow" }, | |
| { LLM_KV_SPLIT_NO, "split.no" }, | |
| { LLM_KV_SPLIT_COUNT, "split.count" }, | |
| { LLM_KV_SPLIT_TENSORS_COUNT, "split.tensors.count" }, | |
| { LLM_KV_SSM_CONV_KERNEL, "%s.ssm.conv_kernel" }, | |
| { LLM_KV_SSM_INNER_SIZE, "%s.ssm.inner_size" }, | |
| { LLM_KV_SSM_STATE_SIZE, "%s.ssm.state_size" }, | |
| { LLM_KV_SSM_TIME_STEP_RANK, "%s.ssm.time_step_rank" }, | |
| { LLM_KV_SSM_GROUP_COUNT, "%s.ssm.group_count" }, | |
| { LLM_KV_SSM_DT_B_C_RMS, "%s.ssm.dt_b_c_rms" }, | |
| { LLM_KV_KDA_HEAD_DIM, "%s.kda.head_dim" }, | |
| { LLM_KV_WKV_HEAD_SIZE, "%s.wkv.head_size" }, | |
| { LLM_KV_POSNET_EMBEDDING_LENGTH, "%s.posnet.embedding_length" }, | |
| { LLM_KV_POSNET_BLOCK_COUNT, "%s.posnet.block_count" }, | |
| { LLM_KV_CONVNEXT_EMBEDDING_LENGTH, "%s.convnext.embedding_length" }, | |
| { LLM_KV_CONVNEXT_BLOCK_COUNT, "%s.convnext.block_count" }, | |
| { LLM_KV_CLASSIFIER_OUTPUT_LABELS, "%s.classifier.output_labels" }, | |
| { LLM_KV_TARGET_LAYERS, "%s.target_layers" }, | |
| { LLM_KV_TARGET_HIDDEN_SIZE, "%s.target_hidden_size" }, | |
| { LLM_KV_NORM_BEFORE_RESIDUAL, "%s.norm_before_residual" }, | |
| { LLM_KV_SHORTCONV_L_CACHE, "%s.shortconv.l_cache" }, | |
| // sentence-transformers dense modules feature dims | |
| { LLM_KV_DENSE_2_FEAT_IN, "%s.dense_2_feat_in" }, | |
| { LLM_KV_DENSE_2_FEAT_OUT, "%s.dense_2_feat_out" }, | |
| { LLM_KV_DENSE_3_FEAT_IN, "%s.dense_3_feat_in" }, | |
| { LLM_KV_DENSE_3_FEAT_OUT, "%s.dense_3_feat_out" }, | |
| { LLM_KV_TOKENIZER_MODEL, "tokenizer.ggml.model" }, | |
| { LLM_KV_TOKENIZER_PRE, "tokenizer.ggml.pre" }, | |
| { LLM_KV_TOKENIZER_LIST, "tokenizer.ggml.tokens" }, | |
| { LLM_KV_TOKENIZER_TOKEN_TYPE, "tokenizer.ggml.token_type" }, | |
| { LLM_KV_TOKENIZER_TOKEN_TYPE_COUNT, "tokenizer.ggml.token_type_count" }, | |
| { LLM_KV_TOKENIZER_SCORES, "tokenizer.ggml.scores" }, | |
| { LLM_KV_TOKENIZER_MERGES, "tokenizer.ggml.merges" }, | |
| { LLM_KV_TOKENIZER_BOS_ID, "tokenizer.ggml.bos_token_id" }, | |
| { LLM_KV_TOKENIZER_EOS_ID, "tokenizer.ggml.eos_token_id" }, | |
| { LLM_KV_TOKENIZER_EOT_ID, "tokenizer.ggml.eot_token_id" }, | |
| { LLM_KV_TOKENIZER_EOM_ID, "tokenizer.ggml.eom_token_id" }, | |
| { LLM_KV_TOKENIZER_UNK_ID, "tokenizer.ggml.unknown_token_id" }, | |
| { LLM_KV_TOKENIZER_SEP_ID, "tokenizer.ggml.seperator_token_id" }, | |
| { LLM_KV_TOKENIZER_PAD_ID, "tokenizer.ggml.padding_token_id" }, | |
| { LLM_KV_TOKENIZER_CLS_ID, "tokenizer.ggml.cls_token_id" }, | |
| { LLM_KV_TOKENIZER_MASK_ID, "tokenizer.ggml.mask_token_id" }, | |
| { LLM_KV_TOKENIZER_ADD_BOS, "tokenizer.ggml.add_bos_token" }, | |
| { LLM_KV_TOKENIZER_ADD_EOS, "tokenizer.ggml.add_eos_token" }, | |
| { LLM_KV_TOKENIZER_ADD_SEP, "tokenizer.ggml.add_sep_token" }, | |
| { LLM_KV_TOKENIZER_ADD_PREFIX, "tokenizer.ggml.add_space_prefix" }, | |
| { LLM_KV_TOKENIZER_REMOVE_EXTRA_WS, "tokenizer.ggml.remove_extra_whitespaces" }, | |
| { LLM_KV_TOKENIZER_PRECOMPILED_CHARSMAP, "tokenizer.ggml.precompiled_charsmap" }, | |
| { LLM_KV_TOKENIZER_HF_JSON, "tokenizer.huggingface.json" }, | |
| { LLM_KV_TOKENIZER_RWKV, "tokenizer.rwkv.world" }, | |
| { LLM_KV_TOKENIZER_CHAT_TEMPLATE, "tokenizer.chat_template" }, | |
| { LLM_KV_TOKENIZER_NORMALIZER_LOWERCASE, "tokenizer.ggml.normalizer.lowercase" }, | |
| { LLM_KV_TOKENIZER_NORMALIZER_STRIP_ACCENTS, "tokenizer.ggml.normalizer.strip_accents" }, | |
| { LLM_KV_TOKENIZER_FIM_PRE_ID, "tokenizer.ggml.fim_pre_token_id" }, | |
| { LLM_KV_TOKENIZER_FIM_SUF_ID, "tokenizer.ggml.fim_suf_token_id" }, | |
| { LLM_KV_TOKENIZER_FIM_MID_ID, "tokenizer.ggml.fim_mid_token_id" }, | |
| { LLM_KV_TOKENIZER_FIM_PAD_ID, "tokenizer.ggml.fim_pad_token_id" }, | |
| { LLM_KV_TOKENIZER_FIM_REP_ID, "tokenizer.ggml.fim_rep_token_id" }, | |
| { LLM_KV_TOKENIZER_FIM_SEP_ID, "tokenizer.ggml.fim_sep_token_id" }, | |
| { LLM_KV_TOKENIZER_SUPPRESS_TOKENS, "tokenizer.ggml.suppress_tokens" }, | |
| { LLM_KV_ADAPTER_TYPE, "adapter.type" }, | |
| { LLM_KV_ADAPTER_LORA_ALPHA, "adapter.lora.alpha" }, | |
| { LLM_KV_ADAPTER_LORA_TASK_NAME, "adapter.lora.task_name" }, | |
| { LLM_KV_ADAPTER_LORA_PROMPT_PREFIX, "adapter.lora.prompt_prefix" }, | |
| { LLM_KV_ADAPTER_ALORA_INVOCATION_TOKENS, "adapter.alora.invocation_tokens" }, | |
| { LLM_KV_XIELU_ALPHA_N, "xielu.alpha_n" }, | |
| { LLM_KV_XIELU_ALPHA_P, "xielu.alpha_p" }, | |
| { LLM_KV_XIELU_BETA, "xielu.beta" }, | |
| { LLM_KV_XIELU_EPS, "xielu.eps" }, | |
| // deprecated | |
| { LLM_KV_TOKENIZER_PREFIX_ID, "tokenizer.ggml.prefix_token_id" }, | |
| { LLM_KV_TOKENIZER_SUFFIX_ID, "tokenizer.ggml.suffix_token_id" }, | |
| { LLM_KV_TOKENIZER_MIDDLE_ID, "tokenizer.ggml.middle_token_id" }, | |
| }; | |
| static const std::map<llm_tensor, const char *> LLM_TENSOR_NAMES = { | |
| { LLM_TENSOR_TOKEN_EMBD, "token_embd" }, | |
| { LLM_TENSOR_OUTPUT_NORM, "output_norm" }, | |
| { LLM_TENSOR_OUTPUT_NORM_LFM2, "token_embd_norm" }, // fix for wrong tensor name | |
| { LLM_TENSOR_OUTPUT, "output" }, | |
| { LLM_TENSOR_ROPE_FREQS, "rope_freqs" }, | |
| { LLM_TENSOR_ATTN_NORM, "blk.%d.attn_norm" }, | |
| { LLM_TENSOR_ATTN_Q, "blk.%d.attn_q" }, | |
| { LLM_TENSOR_ATTN_K, "blk.%d.attn_k" }, | |
| { LLM_TENSOR_ATTN_V, "blk.%d.attn_v" }, | |
| { LLM_TENSOR_ATTN_OUT, "blk.%d.attn_output" }, | |
| { LLM_TENSOR_ATTN_ROT_EMBD, "blk.%d.attn_rot_embd" }, | |
| { LLM_TENSOR_FFN_GATE_INP, "blk.%d.ffn_gate_inp" }, | |
| { LLM_TENSOR_FFN_NORM, "blk.%d.ffn_norm" }, | |
| { LLM_TENSOR_FFN_GATE, "blk.%d.ffn_gate" }, | |
| { LLM_TENSOR_FFN_DOWN, "blk.%d.ffn_down" }, | |
| { LLM_TENSOR_FFN_UP, "blk.%d.ffn_up" }, | |
| { LLM_TENSOR_FFN_GATE_EXP, "blk.%d.ffn_gate.%d" }, | |
| { LLM_TENSOR_FFN_DOWN_EXP, "blk.%d.ffn_down.%d" }, | |
| { LLM_TENSOR_FFN_UP_EXP, "blk.%d.ffn_up.%d" }, | |
| { LLM_TENSOR_FFN_GATE_EXPS, "blk.%d.ffn_gate_exps" }, | |
| { LLM_TENSOR_FFN_GATE_UP_EXPS, "blk.%d.ffn_gate_up_exps" }, | |
| { LLM_TENSOR_FFN_DOWN_EXPS, "blk.%d.ffn_down_exps" }, | |
| { LLM_TENSOR_FFN_UP_EXPS, "blk.%d.ffn_up_exps" }, | |
| { LLM_TENSOR_ATTN_POST_NORM, "blk.%d.post_attention_norm" }, | |
| { LLM_TENSOR_ATTN_Q_NORM, "blk.%d.attn_q_norm" }, | |
| { LLM_TENSOR_ATTN_K_NORM, "blk.%d.attn_k_norm" }, | |
| { LLM_TENSOR_ATTN_GATE, "blk.%d.attn_gate" }, | |
| { LLM_TENSOR_FFN_POST_NORM, "blk.%d.post_ffw_norm" }, | |
| { LLM_TENSOR_FFN_POST_NORM_1, "blk.%d.post_ffw_norm_1" }, | |
| { LLM_TENSOR_FFN_POST_NORM_2, "blk.%d.post_ffw_norm_2" }, | |
| { LLM_TENSOR_FFN_PRE_NORM_2, "blk.%d.pre_ffw_norm_2" }, | |
| { LLM_TENSOR_FFN_GATE_SHEXP, "blk.%d.ffn_gate_shexp" }, | |
| { LLM_TENSOR_FFN_UP_SHEXP, "blk.%d.ffn_up_shexp" }, | |
| { LLM_TENSOR_FFN_DOWN_SHEXP, "blk.%d.ffn_down_shexp" }, | |
| { LLM_TENSOR_FFN_EXP_PROBS_B, "blk.%d.exp_probs_b" }, | |
| { LLM_TENSOR_FFN_LATENT_DOWN, "blk.%d.ffn_latent_down" }, | |
| { LLM_TENSOR_FFN_LATENT_UP, "blk.%d.ffn_latent_up" }, | |
| { LLM_TENSOR_ATTN_NORM_2, "blk.%d.attn_norm_2" }, | |
| { LLM_TENSOR_ATTN_QKV, "blk.%d.attn_qkv" }, | |
| { LLM_TENSOR_LAYER_OUT_NORM, "blk.%d.layer_output_norm" }, | |
| { LLM_TENSOR_LAYER_OUT_SCALE, "blk.%d.layer_output_scale" }, | |
| { LLM_TENSOR_ATTN_OUT_NORM, "blk.%d.attn_output_norm" }, | |
| { LLM_TENSOR_POS_EMBD, "position_embd" }, | |
| { LLM_TENSOR_FFN_ACT, "blk.%d.ffn.act" }, | |
| { LLM_TENSOR_TOKEN_EMBD_NORM, "token_embd_norm" }, | |
| { LLM_TENSOR_TOKEN_TYPES, "token_types" }, | |
| { LLM_TENSOR_CLS, "cls" }, | |
| { LLM_TENSOR_CLS_OUT, "cls.output" }, | |
| { LLM_TENSOR_CLS_NORM, "cls.norm" }, | |
| { LLM_TENSOR_ENC_OUTPUT_NORM, "enc.output_norm" }, | |
| { LLM_TENSOR_FFN_GATE_INP_SHEXP, "blk.%d.ffn_gate_inp_shexp" }, | |
| { LLM_TENSOR_SSM_A_NOSCAN, "blk.%d.ssm_a" }, | |
| { LLM_TENSOR_SSM_CONV1D, "blk.%d.ssm_conv1d" }, | |
| { LLM_TENSOR_SSM_DT, "blk.%d.ssm_dt" }, | |
| { LLM_TENSOR_SSM_BETA_ALPHA, "blk.%d.ssm_ba" }, | |
| { LLM_TENSOR_SSM_ALPHA, "blk.%d.ssm_alpha" }, | |
| { LLM_TENSOR_SSM_IN, "blk.%d.ssm_in" }, | |
| { LLM_TENSOR_SSM_NORM, "blk.%d.ssm_norm" }, | |
| { LLM_TENSOR_SSM_OUT, "blk.%d.ssm_out" }, | |
| { LLM_TENSOR_ROPE_FACTORS_LONG, "rope_factors_long" }, | |
| { LLM_TENSOR_ROPE_FACTORS_SHORT, "rope_factors_short" }, | |
| { LLM_TENSOR_SSM_X, "blk.%d.ssm_x" }, | |
| { LLM_TENSOR_SSM_A, "blk.%d.ssm_a" }, | |
| { LLM_TENSOR_SSM_D, "blk.%d.ssm_d" }, | |
| { LLM_TENSOR_SSM_DT_NORM, "blk.%d.ssm_dt_norm" }, | |
| { LLM_TENSOR_SSM_B_NORM, "blk.%d.ssm_b_norm" }, | |
| { LLM_TENSOR_SSM_C_NORM, "blk.%d.ssm_c_norm" }, | |
| { LLM_TENSOR_SSM_CONV1D_Q, "blk.%d.ssm_conv1d_q" }, | |
| { LLM_TENSOR_SSM_CONV1D_K, "blk.%d.ssm_conv1d_k" }, | |
| { LLM_TENSOR_SSM_CONV1D_V, "blk.%d.ssm_conv1d_v" }, | |
| { LLM_TENSOR_SSM_F_A, "blk.%d.ssm_f_a" }, | |
| { LLM_TENSOR_SSM_F_B, "blk.%d.ssm_f_b" }, | |
| { LLM_TENSOR_SSM_BETA, "blk.%d.ssm_beta" }, | |
| { LLM_TENSOR_SSM_G_A, "blk.%d.ssm_g_a" }, | |
| { LLM_TENSOR_SSM_G_B, "blk.%d.ssm_g_b" }, | |
| { LLM_TENSOR_SSM_NORM, "blk.%d.ssm_norm" }, | |
| { LLM_TENSOR_ATTN_Q_A_NORM, "blk.%d.attn_q_a_norm" }, | |
| { LLM_TENSOR_ATTN_KV_A_NORM, "blk.%d.attn_kv_a_norm" }, | |
| { LLM_TENSOR_ATTN_Q_A, "blk.%d.attn_q_a" }, | |
| { LLM_TENSOR_ATTN_Q_B, "blk.%d.attn_q_b" }, | |
| { LLM_TENSOR_ATTN_KV_A_MQA, "blk.%d.attn_kv_a_mqa" }, | |
| { LLM_TENSOR_ATTN_KV_B, "blk.%d.attn_kv_b" }, | |
| { LLM_TENSOR_ATTN_KV, "blk.%d.attn_kv" }, | |
| { LLM_TENSOR_ATTN_KV_NORM, "blk.%d.attn_kv_a_norm" }, | |
| { LLM_TENSOR_ATTN_OUT_A, "blk.%d.attn_output_a" }, | |
| { LLM_TENSOR_ATTN_OUT_B, "blk.%d.attn_output_b" }, | |
| { LLM_TENSOR_HC_HEAD_FN, "output_hc_fn" }, | |
| { LLM_TENSOR_HC_HEAD_BASE, "output_hc_base" }, | |
| { LLM_TENSOR_HC_HEAD_SCALE, "output_hc_scale" }, | |
| { LLM_TENSOR_HC_ATTN_FN, "blk.%d.hc_attn_fn" }, | |
| { LLM_TENSOR_HC_ATTN_BASE, "blk.%d.hc_attn_base" }, | |
| { LLM_TENSOR_HC_ATTN_SCALE, "blk.%d.hc_attn_scale" }, | |
| { LLM_TENSOR_HC_FFN_FN, "blk.%d.hc_ffn_fn" }, | |
| { LLM_TENSOR_HC_FFN_BASE, "blk.%d.hc_ffn_base" }, | |
| { LLM_TENSOR_HC_FFN_SCALE, "blk.%d.hc_ffn_scale" }, | |
| { LLM_TENSOR_ATTN_COMPRESSOR_WKV, "blk.%d.attn_compressor_kv" }, | |
| { LLM_TENSOR_ATTN_COMPRESSOR_WGATE, "blk.%d.attn_compressor_gate" }, | |
| { LLM_TENSOR_ATTN_COMPRESSOR_APE, "blk.%d.attn_compressor_ape" }, | |
| { LLM_TENSOR_ATTN_COMPRESSOR_NORM, "blk.%d.attn_compressor_norm" }, | |
| { LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "per_layer_token_embd" }, | |
| { LLM_TENSOR_PER_LAYER_MODEL_PROJ, "per_layer_model_proj" }, | |
| { LLM_TENSOR_PER_LAYER_PROJ_NORM, "per_layer_proj_norm" }, | |
| { LLM_TENSOR_ALTUP_UNEMBD_PROJ, "altup_unembd_proj" }, | |
| { LLM_TENSOR_ALTUP_PROJ, "altup_proj" }, | |
| { LLM_TENSOR_PER_LAYER_INP_GATE, "blk.%d.inp_gate" }, | |
| { LLM_TENSOR_PER_LAYER_PROJ, "blk.%d.proj" }, | |
| { LLM_TENSOR_PER_LAYER_POST_NORM, "blk.%d.post_norm" }, | |
| { LLM_TENSOR_ALTUP_CORRECT_COEF, "blk.%d.altup_correct_coef" }, | |
| { LLM_TENSOR_ALTUP_CORRECT_SCALE, "blk.%d.altup_correct_scale" }, | |
| { LLM_TENSOR_ALTUP_PREDICT_COEF, "blk.%d.altup_predict_coef" }, | |
| { LLM_TENSOR_ALTUP_ROUTER, "blk.%d.altup_router" }, | |
| { LLM_TENSOR_ALTUP_ROUTER_NORM, "blk.%d.altup_router_norm" }, | |
| { LLM_TENSOR_LAUREL_L, "blk.%d.laurel_l" }, | |
| { LLM_TENSOR_LAUREL_R, "blk.%d.laurel_r" }, | |
| { LLM_TENSOR_LAUREL_POST_NORM, "blk.%d.laurel_post_norm" }, | |
| { LLM_TENSOR_DENSE_2_OUT, "dense_2" }, | |
| { LLM_TENSOR_DENSE_3_OUT, "dense_3" }, | |
| { LLM_TENSOR_FFN_NORM_EXPS, "blk.%d.ffn_norm_exps" }, | |
| { LLM_TENSOR_ATTN_K_B, "blk.%d.attn_k_b" }, | |
| { LLM_TENSOR_ATTN_V_B, "blk.%d.attn_v_b" }, | |
| { LLM_TENSOR_NEXTN_PROJ_PRE, "nextn.pre_projection" }, | |
| { LLM_TENSOR_NEXTN_PROJ_POST, "nextn.post_projection" }, | |
| { LLM_TENSOR_NEXTN_EH_PROJ, "blk.%d.nextn.eh_proj" }, | |
| { LLM_TENSOR_NEXTN_EMBED_TOKENS, "blk.%d.nextn.embed_tokens" }, | |
| { LLM_TENSOR_NEXTN_ENORM, "blk.%d.nextn.enorm" }, | |
| { LLM_TENSOR_NEXTN_HNORM, "blk.%d.nextn.hnorm" }, | |
| { LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, "blk.%d.nextn.shared_head_head" }, | |
| { LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, "blk.%d.nextn.shared_head_norm" }, | |
| { LLM_TENSOR_ATTN_SUB_NORM, "blk.%d.attn_sub_norm" }, | |
| { LLM_TENSOR_FFN_SUB_NORM, "blk.%d.ffn_sub_norm" }, | |
| { LLM_TENSOR_DEC_OUTPUT_NORM, "dec.output_norm" }, | |
| { LLM_TENSOR_DEC_ATTN_NORM, "dec.blk.%d.attn_norm" }, | |
| { LLM_TENSOR_DEC_ATTN_Q, "dec.blk.%d.attn_q" }, | |
| { LLM_TENSOR_DEC_ATTN_K, "dec.blk.%d.attn_k" }, | |
| { LLM_TENSOR_DEC_ATTN_V, "dec.blk.%d.attn_v" }, | |
| { LLM_TENSOR_DEC_ATTN_OUT, "dec.blk.%d.attn_o" }, | |
| { LLM_TENSOR_DEC_ATTN_REL_B, "dec.blk.%d.attn_rel_b" }, | |
| { LLM_TENSOR_DEC_CROSS_ATTN_NORM, "dec.blk.%d.cross_attn_norm" }, | |
| { LLM_TENSOR_DEC_CROSS_ATTN_Q, "dec.blk.%d.cross_attn_q" }, | |
| { LLM_TENSOR_DEC_CROSS_ATTN_K, "dec.blk.%d.cross_attn_k" }, | |
| { LLM_TENSOR_DEC_CROSS_ATTN_V, "dec.blk.%d.cross_attn_v" }, | |
| { LLM_TENSOR_DEC_CROSS_ATTN_OUT, "dec.blk.%d.cross_attn_o" }, | |
| { LLM_TENSOR_DEC_CROSS_ATTN_REL_B, "dec.blk.%d.cross_attn_rel_b" }, | |
| { LLM_TENSOR_DEC_FFN_NORM, "dec.blk.%d.ffn_norm" }, | |
| { LLM_TENSOR_DEC_FFN_GATE, "dec.blk.%d.ffn_gate" }, | |
| { LLM_TENSOR_DEC_FFN_DOWN, "dec.blk.%d.ffn_down" }, | |
| { LLM_TENSOR_DEC_FFN_UP, "dec.blk.%d.ffn_up" }, | |
| { LLM_TENSOR_ENC_ATTN_NORM, "enc.blk.%d.attn_norm" }, | |
| { LLM_TENSOR_ENC_ATTN_Q, "enc.blk.%d.attn_q" }, | |
| { LLM_TENSOR_ENC_ATTN_K, "enc.blk.%d.attn_k" }, | |
| { LLM_TENSOR_ENC_ATTN_V, "enc.blk.%d.attn_v" }, | |
| { LLM_TENSOR_ENC_ATTN_OUT, "enc.blk.%d.attn_o" }, | |
| { LLM_TENSOR_ENC_ATTN_REL_B, "enc.blk.%d.attn_rel_b" }, | |
| { LLM_TENSOR_ENC_FFN_NORM, "enc.blk.%d.ffn_norm" }, | |
| { LLM_TENSOR_ENC_FFN_GATE, "enc.blk.%d.ffn_gate" }, | |
| { LLM_TENSOR_ENC_FFN_DOWN, "enc.blk.%d.ffn_down" }, | |
| { LLM_TENSOR_ENC_FFN_UP, "enc.blk.%d.ffn_up" }, | |
| { LLM_TENSOR_TIME_MIX_W1, "blk.%d.time_mix_w1" }, | |
| { LLM_TENSOR_TIME_MIX_W2, "blk.%d.time_mix_w2" }, | |
| { LLM_TENSOR_TIME_MIX_LERP_X, "blk.%d.time_mix_lerp_x" }, | |
| { LLM_TENSOR_TIME_MIX_LERP_W, "blk.%d.time_mix_lerp_w" }, | |
| { LLM_TENSOR_TIME_MIX_LERP_K, "blk.%d.time_mix_lerp_k" }, | |
| { LLM_TENSOR_TIME_MIX_LERP_V, "blk.%d.time_mix_lerp_v" }, | |
| { LLM_TENSOR_TIME_MIX_LERP_R, "blk.%d.time_mix_lerp_r" }, | |
| { LLM_TENSOR_TIME_MIX_LERP_G, "blk.%d.time_mix_lerp_g" }, | |
| { LLM_TENSOR_TIME_MIX_LERP_FUSED, "blk.%d.time_mix_lerp_fused" }, | |
| { LLM_TENSOR_TIME_MIX_FIRST, "blk.%d.time_mix_first" }, | |
| { LLM_TENSOR_TIME_MIX_DECAY, "blk.%d.time_mix_decay" }, | |
| { LLM_TENSOR_TIME_MIX_DECAY_W1, "blk.%d.time_mix_decay_w1" }, | |
| { LLM_TENSOR_TIME_MIX_DECAY_W2, "blk.%d.time_mix_decay_w2" }, | |
| { LLM_TENSOR_TIME_MIX_KEY, "blk.%d.time_mix_key" }, | |
| { LLM_TENSOR_TIME_MIX_VALUE, "blk.%d.time_mix_value" }, | |
| { LLM_TENSOR_TIME_MIX_RECEPTANCE, "blk.%d.time_mix_receptance" }, | |
| { LLM_TENSOR_TIME_MIX_GATE, "blk.%d.time_mix_gate" }, | |
| { LLM_TENSOR_TIME_MIX_LN, "blk.%d.time_mix_ln" }, | |
| { LLM_TENSOR_TIME_MIX_OUTPUT, "blk.%d.time_mix_output" }, | |
| { LLM_TENSOR_CHANNEL_MIX_LERP_K, "blk.%d.channel_mix_lerp_k" }, | |
| { LLM_TENSOR_CHANNEL_MIX_LERP_R, "blk.%d.channel_mix_lerp_r" }, | |
| { LLM_TENSOR_CHANNEL_MIX_KEY, "blk.%d.channel_mix_key" }, | |
| { LLM_TENSOR_CHANNEL_MIX_VALUE, "blk.%d.channel_mix_value" }, | |
| { LLM_TENSOR_CHANNEL_MIX_RECEPTANCE, "blk.%d.channel_mix_receptance" }, | |
| { LLM_TENSOR_TIME_MIX_W0, "blk.%d.time_mix_w0" }, | |
| { LLM_TENSOR_TIME_MIX_A0, "blk.%d.time_mix_a0" }, | |
| { LLM_TENSOR_TIME_MIX_A1, "blk.%d.time_mix_a1" }, | |
| { LLM_TENSOR_TIME_MIX_A2, "blk.%d.time_mix_a2" }, | |
| { LLM_TENSOR_TIME_MIX_V0, "blk.%d.time_mix_v0" }, | |
| { LLM_TENSOR_TIME_MIX_V1, "blk.%d.time_mix_v1" }, | |
| { LLM_TENSOR_TIME_MIX_V2, "blk.%d.time_mix_v2" }, | |
| { LLM_TENSOR_TIME_MIX_G1, "blk.%d.time_mix_g1" }, | |
| { LLM_TENSOR_TIME_MIX_G2, "blk.%d.time_mix_g2" }, | |
| { LLM_TENSOR_TIME_MIX_K_K, "blk.%d.time_mix_k_k" }, | |
| { LLM_TENSOR_TIME_MIX_K_A, "blk.%d.time_mix_k_a" }, | |
| { LLM_TENSOR_TIME_MIX_R_K, "blk.%d.time_mix_r_k" }, | |
| { LLM_TENSOR_CONV1D, "conv1d" }, | |
| { LLM_TENSOR_CONVNEXT_DW, "convnext.%d.dw" }, | |
| { LLM_TENSOR_CONVNEXT_NORM, "convnext.%d.norm" }, | |
| { LLM_TENSOR_CONVNEXT_PW1, "convnext.%d.pw1" }, | |
| { LLM_TENSOR_CONVNEXT_PW2, "convnext.%d.pw2" }, | |
| { LLM_TENSOR_CONVNEXT_GAMMA, "convnext.%d.gamma" }, | |
| { LLM_TENSOR_POS_NET_CONV1, "posnet.%d.conv1" }, | |
| { LLM_TENSOR_POS_NET_CONV2, "posnet.%d.conv2" }, | |
| { LLM_TENSOR_POS_NET_NORM, "posnet.%d.norm" }, | |
| { LLM_TENSOR_POS_NET_NORM1, "posnet.%d.norm1" }, | |
| { LLM_TENSOR_POS_NET_NORM2, "posnet.%d.norm2" }, | |
| { LLM_TENSOR_POS_NET_ATTN_NORM, "posnet.%d.attn_norm" }, | |
| { LLM_TENSOR_POS_NET_ATTN_Q, "posnet.%d.attn_q" }, | |
| { LLM_TENSOR_POS_NET_ATTN_K, "posnet.%d.attn_k" }, | |
| { LLM_TENSOR_POS_NET_ATTN_V, "posnet.%d.attn_v" }, | |
| { LLM_TENSOR_POS_NET_ATTN_OUT, "posnet.%d.attn_output" }, | |
| { LLM_TENSOR_ATTN_SINKS, "blk.%d.attn_sinks" }, | |
| { LLM_TENSOR_SHORTCONV_CONV, "blk.%d.shortconv.conv" }, | |
| { LLM_TENSOR_SHORTCONV_INPROJ, "blk.%d.shortconv.in_proj" }, | |
| { LLM_TENSOR_SHORTCONV_OUTPROJ, "blk.%d.shortconv.out_proj" }, | |
| { LLM_TENSOR_FFN_GATE_CHEXPS, "blk.%d.ffn_gate_chexps" }, | |
| { LLM_TENSOR_FFN_DOWN_CHEXPS, "blk.%d.ffn_down_chexps" }, | |
| { LLM_TENSOR_FFN_UP_CHEXPS, "blk.%d.ffn_up_chexps" }, | |
| { LLM_TENSOR_VISEXP_ATTN_QKV, "blk.%d.vis_attn_qkv" }, | |
| { LLM_TENSOR_VISEXP_ATTN_OUT, "blk.%d.vis_attn_output" }, | |
| { LLM_TENSOR_VISEXP_FFN_GATE, "blk.%d.vis_gate" }, | |
| { LLM_TENSOR_VISEXP_FFN_DOWN, "blk.%d.vis_down" }, | |
| { LLM_TENSOR_VISEXP_FFN_UP, "blk.%d.vis_up" }, | |
| { LLM_TENSOR_INDEXER_K_NORM, "blk.%d.indexer.k_norm" }, | |
| { LLM_TENSOR_INDEXER_PROJ, "blk.%d.indexer.proj" }, | |
| { LLM_TENSOR_INDEXER_ATTN_K, "blk.%d.indexer.attn_k" }, | |
| { LLM_TENSOR_INDEXER_ATTN_Q_B, "blk.%d.indexer.attn_q_b" }, | |
| { LLM_TENSOR_INDEXER_COMPRESSOR_WKV, "blk.%d.indexer_compressor_kv" }, | |
| { LLM_TENSOR_INDEXER_COMPRESSOR_WGATE, "blk.%d.indexer_compressor_gate" }, | |
| { LLM_TENSOR_INDEXER_COMPRESSOR_APE, "blk.%d.indexer_compressor_ape" }, | |
| { LLM_TENSOR_INDEXER_COMPRESSOR_NORM, "blk.%d.indexer_compressor_norm" }, | |
| { LLM_TENSOR_FFN_GATE_TID2EID, "blk.%d.ffn_gate_tid2eid" }, | |
| { LLM_TENSOR_MASKED_EMBD_CENTROIDS, "masked_embd_centroids" }, | |
| { LLM_TENSOR_MASKED_EMBD_ORDERING, "masked_embd_ordering" }, | |
| { LLM_TENSOR_FC, "fc" }, | |
| { LLM_TENSOR_D2T, "d2t" }, | |
| }; | |
| // declare information about the model weight tensors: | |
| // - 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 | |
| // - the operator which is going to use the weight. this is needed to determine if the respective backend supports the operator | |
| // | |
| // for example, input layers are usually assigned to CPU/host buffer types | |
| // | |
| // a mismatch between the declared information and the actual layer/op in which the tensor is used can lead to sub-optimal | |
| // assignment of the buffer types and extra overhead during computation | |
| // example: https://github.com/ggml-org/llama.cpp/pull/17548 | |
| // | |
| static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = { | |
| {LLM_TENSOR_TOKEN_EMBD, {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}}, | |
| {LLM_TENSOR_POS_EMBD, {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}}, | |
| {LLM_TENSOR_TOKEN_TYPES, {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}}, | |
| {LLM_TENSOR_TOKEN_EMBD_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, // do the norms on the first layer (not the input layer) | |
| {LLM_TENSOR_OUTPUT, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_CLS, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_CLS_OUT, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_CLS_NORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}}, | |
| {LLM_TENSOR_DENSE_2_OUT, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output | |
| {LLM_TENSOR_DENSE_3_OUT, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, // Dense layer output | |
| {LLM_TENSOR_OUTPUT_NORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}}, | |
| {LLM_TENSOR_OUTPUT_NORM_LFM2, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}}, | |
| {LLM_TENSOR_DEC_OUTPUT_NORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ENC_OUTPUT_NORM, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ROPE_FREQS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}}, | |
| {LLM_TENSOR_ROPE_FACTORS_LONG, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}}, | |
| {LLM_TENSOR_ROPE_FACTORS_SHORT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ROPE}}, | |
| {LLM_TENSOR_ATTN_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_QKV, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_FFN_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_FFN_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_FFN_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_FFN_DOWN_SHEXP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_FFN_GATE_SHEXP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_FFN_UP_SHEXP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_Q_A, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_Q_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_KV_A_MQA, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_KV_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_KV, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_KV_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ATTN_OUT_A, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_OUT_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_HC_HEAD_FN, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_HC_HEAD_BASE, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_ADD}}, | |
| {LLM_TENSOR_HC_HEAD_SCALE, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL}}, | |
| {LLM_TENSOR_HC_ATTN_FN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_HC_ATTN_BASE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_HC_ATTN_SCALE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_HC_FFN_FN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_HC_FFN_BASE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_HC_FFN_SCALE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ATTN_COMPRESSOR_WKV, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_COMPRESSOR_WGATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_COMPRESSOR_APE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_ATTN_COMPRESSOR_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ATTN_K_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_V_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ATTN_SINKS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SCALE}}, | |
| {LLM_TENSOR_DEC_ATTN_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_DEC_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_DEC_ATTN_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_DEC_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_DEC_CROSS_ATTN_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_DEC_CROSS_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_DEC_CROSS_ATTN_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_DEC_CROSS_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_DEC_FFN_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_DEC_FFN_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_DEC_FFN_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ENC_ATTN_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ENC_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ENC_ATTN_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ENC_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ENC_FFN_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ENC_FFN_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ENC_FFN_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_FFN_GATE_INP_SHEXP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_FFN_GATE_INP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_SSM_IN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_SSM_X, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_SSM_DT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_SSM_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_SSM_ALPHA, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_SSM_BETA_ALPHA, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_W1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_W2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_A1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_A2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_V1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_V2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_G1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_G2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_DECAY_W1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_DECAY_W2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_KEY, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_VALUE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_RECEPTANCE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_OUTPUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_CHANNEL_MIX_KEY, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_CHANNEL_MIX_RECEPTANCE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_CHANNEL_MIX_VALUE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_FFN_ACT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_DIV}}, | |
| {LLM_TENSOR_SSM_CONV1D, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SSM_CONV}}, | |
| {LLM_TENSOR_SSM_A, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SSM_SCAN}}, | |
| {LLM_TENSOR_SSM_A_NOSCAN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, // a version of SSM_A used for MUL instead of SSM_SCAN | |
| {LLM_TENSOR_SSM_DT_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_SSM_B_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_SSM_C_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_SSM_D, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_SSM_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| // Kimi KDA - Conv tensors are 4D [d_conv, 1, d_inner, 1], reshaped to 2D at runtime | |
| {LLM_TENSOR_SSM_CONV1D_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_SSM_CONV1D_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_SSM_CONV1D_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_SSM_F_A, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_SSM_F_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_SSM_BETA, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_SSM_G_A, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_SSM_G_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_TIME_MIX_LERP_X, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_TIME_MIX_LN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_CHANNEL_MIX_LERP_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_CHANNEL_MIX_LERP_R, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_TIME_MIX_K_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_TIME_MIX_K_A, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_TIME_MIX_R_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_TIME_MIX_LERP_W, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_TIME_MIX_LERP_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_TIME_MIX_LERP_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_TIME_MIX_LERP_R, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_TIME_MIX_LERP_G, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_TIME_MIX_LERP_FUSED, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_TIME_MIX_DECAY, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_TIME_MIX_W0, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_TIME_MIX_A0, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_TIME_MIX_V0, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_TIME_MIX_FIRST, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_RWKV_WKV6}}, | |
| {LLM_TENSOR_ATTN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ATTN_NORM_2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ATTN_OUT_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ATTN_POST_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_FFN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_FFN_PRE_NORM_2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_FFN_POST_NORM_1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_FFN_POST_NORM_2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_FFN_POST_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_FFN_NORM_EXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ATTN_Q_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ATTN_K_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_LAYER_OUT_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_LAYER_OUT_SCALE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ATTN_Q_A_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ATTN_KV_A_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ATTN_SUB_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_FFN_SUB_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_DEC_ATTN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_DEC_CROSS_ATTN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_DEC_FFN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ENC_ATTN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ENC_FFN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_DEC_ATTN_REL_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_GET_ROWS}}, | |
| {LLM_TENSOR_ENC_ATTN_REL_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_GET_ROWS}}, | |
| {LLM_TENSOR_FFN_DOWN_EXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}}, | |
| {LLM_TENSOR_FFN_GATE_EXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}}, | |
| {LLM_TENSOR_FFN_UP_EXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}}, | |
| {LLM_TENSOR_FFN_GATE_UP_EXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}}, | |
| {LLM_TENSOR_FFN_DOWN_CHEXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}}, | |
| {LLM_TENSOR_FFN_GATE_CHEXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}}, | |
| {LLM_TENSOR_FFN_UP_CHEXPS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT_ID}}, | |
| {LLM_TENSOR_FFN_EXP_PROBS_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| // altup / laurel (gemma 3n) | |
| {LLM_TENSOR_PER_LAYER_TOKEN_EMBD, {LLM_TENSOR_LAYER_INPUT, GGML_OP_GET_ROWS}}, | |
| {LLM_TENSOR_PER_LAYER_MODEL_PROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_PER_LAYER_PROJ_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ALTUP_PROJ, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ALTUP_UNEMBD_PROJ, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_PER_LAYER_INP_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_PER_LAYER_PROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_PER_LAYER_POST_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ALTUP_CORRECT_COEF, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ALTUP_CORRECT_SCALE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_ALTUP_PREDICT_COEF, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ALTUP_ROUTER, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_ALTUP_ROUTER_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_LAUREL_L, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_LAUREL_R, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_LAUREL_POST_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| // this tensor is loaded for T5, but never used | |
| {LLM_TENSOR_DEC_CROSS_ATTN_REL_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_NONE}}, | |
| {LLM_TENSOR_CONV1D, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}}, | |
| {LLM_TENSOR_POS_NET_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_POS_NET_NORM1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_POS_NET_NORM2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_POS_NET_CONV1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}}, | |
| {LLM_TENSOR_POS_NET_CONV2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}}, | |
| {LLM_TENSOR_POS_NET_ATTN_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_POS_NET_ATTN_Q, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_POS_NET_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_POS_NET_ATTN_V, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_POS_NET_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_CONVNEXT_DW, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_IM2COL}}, | |
| {LLM_TENSOR_CONVNEXT_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_CONVNEXT_PW1, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_CONVNEXT_PW2, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_CONVNEXT_GAMMA, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_SHORTCONV_CONV, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SSM_CONV}}, | |
| {LLM_TENSOR_SHORTCONV_INPROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_SHORTCONV_OUTPROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_VISEXP_ATTN_QKV, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_VISEXP_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_VISEXP_FFN_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_VISEXP_FFN_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_VISEXP_FFN_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_INDEXER_K_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_INDEXER_PROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_INDEXER_ATTN_K, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_INDEXER_ATTN_Q_B, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_INDEXER_COMPRESSOR_WKV, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_INDEXER_COMPRESSOR_WGATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_INDEXER_COMPRESSOR_APE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_ADD}}, | |
| {LLM_TENSOR_INDEXER_COMPRESSOR_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_FFN_GATE_TID2EID, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_GET_ROWS}}, | |
| {LLM_TENSOR_NEXTN_PROJ_PRE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_NEXTN_PROJ_POST, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, | |
| // NextN/MTP tensors are stored per-block (blk.%d.nextn.*) even though only the | |
| // last nextn_predict_layers blocks carry them. Classify as LAYER_REPEATING so | |
| // the model loader doesn't fault on the block index. | |
| {LLM_TENSOR_NEXTN_EH_PROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_NEXTN_EMBED_TOKENS, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_GET_ROWS}}, | |
| {LLM_TENSOR_NEXTN_ENORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_NEXTN_HNORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| {LLM_TENSOR_NEXTN_SHARED_HEAD_HEAD, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_NEXTN_SHARED_HEAD_NORM, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL}}, | |
| // Nemotron 3 Super | |
| // latent projections feed ggml_mul_mat, the buft probe must use MUL_MAT to keep them on GPU | |
| {LLM_TENSOR_FFN_LATENT_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_FFN_LATENT_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_MASKED_EMBD_CENTROIDS, {LLM_TENSOR_LAYER_INPUT, GGML_OP_NONE}}, | |
| {LLM_TENSOR_MASKED_EMBD_ORDERING, {LLM_TENSOR_LAYER_INPUT, GGML_OP_NONE}}, | |
| // eagle3 | |
| {LLM_TENSOR_FC, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}}, | |
| {LLM_TENSOR_D2T, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_GET_ROWS}}, | |
| }; | |
| LLM_KV::LLM_KV(llm_arch arch, const char * suffix) : arch(arch), suffix(suffix) {} | |
| std::string LLM_KV::operator()(llm_kv kv) const { | |
| std::string name = ::format(LLM_KV_NAMES.at(kv), LLM_ARCH_NAMES.at(arch)); | |
| if (suffix != nullptr) { | |
| name += "."; | |
| name += suffix; | |
| } | |
| return name; | |
| } | |
| LLM_TN_IMPL::LLM_TN_IMPL(llm_arch arch, llm_tensor tensor, const char * suffix, int bid, int xid) | |
| : arch(arch), tensor(tensor), suffix(suffix), bid(bid), xid(xid) {} | |
| std::string LLM_TN_IMPL::str() const { | |
| if (LLM_TENSOR_NAMES.find(tensor) == LLM_TENSOR_NAMES.end()) { | |
| GGML_ABORT("unknown tensor name for tensor id %d", static_cast<int>(tensor)); | |
| } | |
| std::string name = ::format(LLM_TENSOR_NAMES.at(tensor), bid, xid); | |
| if (suffix != nullptr) { | |
| name += "."; | |
| name += suffix; | |
| } | |
| return name; | |
| } | |
| std::vector<llm_arch> llm_arch_all() { | |
| std::vector<llm_arch> ret; | |
| ret.reserve(LLM_ARCH_NAMES.size()); | |
| for (const auto & [arch, _] : LLM_ARCH_NAMES) { | |
| ret.push_back(arch); | |
| } | |
| return ret; | |
| } | |
| const char * llm_arch_name(llm_arch arch) { | |
| auto it = LLM_ARCH_NAMES.find(arch); | |
| if (it == LLM_ARCH_NAMES.end()) { | |
| return "unknown"; | |
| } | |
| return it->second; | |
| } | |
| llm_arch llm_arch_from_string(const std::string & name) { | |
| for (const auto & kv : LLM_ARCH_NAMES) { // NOLINT | |
| if (kv.second == name) { | |
| return kv.first; | |
| } | |
| } | |
| return LLM_ARCH_UNKNOWN; | |
| } | |
| const llm_tensor_info & llm_tensor_info_for(llm_tensor tensor) { | |
| return LLM_TENSOR_INFOS.at(tensor); | |
| } | |
| bool llm_arch_is_recurrent(const llm_arch & arch) { | |
| switch (arch) { | |
| case LLM_ARCH_MAMBA: | |
| case LLM_ARCH_MAMBA2: | |
| case LLM_ARCH_RWKV6: | |
| case LLM_ARCH_RWKV6QWEN2: | |
| case LLM_ARCH_RWKV7: | |
| case LLM_ARCH_ARWKV7: | |
| return true; | |
| default: | |
| return false; | |
| } | |
| } | |
| bool llm_arch_is_hybrid(const llm_arch & arch) { | |
| switch (arch) { | |
| case LLM_ARCH_JAMBA: | |
| case LLM_ARCH_FALCON_H1: | |
| case LLM_ARCH_PLAMO2: | |
| case LLM_ARCH_GRANITE_HYBRID: | |
| case LLM_ARCH_LFM2: | |
| case LLM_ARCH_LFM2MOE: | |
| case LLM_ARCH_NEMOTRON_H: | |
| case LLM_ARCH_NEMOTRON_H_MOE: | |
| case LLM_ARCH_QWEN3NEXT: | |
| case LLM_ARCH_KIMI_LINEAR: | |
| case LLM_ARCH_QWEN35: | |
| case LLM_ARCH_QWEN35MOE: | |
| return true; | |
| default: | |
| return false; | |
| } | |
| } | |
| bool llm_arch_is_diffusion(const llm_arch & arch) { | |
| switch (arch) { | |
| case LLM_ARCH_DREAM: | |
| case LLM_ARCH_LLADA: | |
| case LLM_ARCH_LLADA_MOE: | |
| case LLM_ARCH_RND1: | |
| return true; | |
| default: | |
| return false; | |
| } | |
| } | |
| bool llm_arch_supports_rs_rollback(const llm_arch & arch) { | |
| switch (arch) { | |
| case LLM_ARCH_QWEN35: | |
| case LLM_ARCH_QWEN35MOE: | |
| return true; | |
| default: | |
| return false; | |
| } | |
| } | |
| bool llm_arch_supports_sm_tensor(const llm_arch & arch) { | |
| switch (arch) { | |
| case LLM_ARCH_GROK: | |
| case LLM_ARCH_MPT: | |
| case LLM_ARCH_PLAMO2: | |
| case LLM_ARCH_MINICPM3: | |
| case LLM_ARCH_GEMMA3N: | |
| case LLM_ARCH_MAMBA: | |
| case LLM_ARCH_MAMBA2: | |
| case LLM_ARCH_JAMBA: | |
| case LLM_ARCH_FALCON_H1: | |
| case LLM_ARCH_OLMO2: | |
| case LLM_ARCH_OLMOE: | |
| case LLM_ARCH_DEEPSEEK2: | |
| case LLM_ARCH_DEEPSEEK32: | |
| case LLM_ARCH_DEEPSEEK4: | |
| case LLM_ARCH_GLM_DSA: | |
| case LLM_ARCH_BITNET: | |
| case LLM_ARCH_T5: | |
| case LLM_ARCH_NEMOTRON_H: | |
| case LLM_ARCH_NEMOTRON_H_MOE: | |
| case LLM_ARCH_GRANITE_HYBRID: | |
| case LLM_ARCH_LFM2: | |
| case LLM_ARCH_LFM2MOE: | |
| case LLM_ARCH_MINIMAX_M2: | |
| case LLM_ARCH_MISTRAL4: | |
| case LLM_ARCH_KIMI_LINEAR: | |
| return false; | |
| default: | |
| return true; | |
| } | |
| } | |