gguf-py, convert-hf : model conversion support for T5 and FLAN-T5 model variants (#5763)
* gguf-py : add T5 model architecture * gguf-py : add separate tensors for encoder and decoder * gguf-py : add new model header parameters: decoder_start_token_id, attention.relative_buckets_count, tokenizer.ggml.remove_extra_whitespaces, tokenizer.ggml.precompiled_charsmap * convert-hf : add model conversion support for T5ForConditionalGeneration and T5WithLMHeadModel --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
This commit is contained in:
fairydreaming
GitHub
parent
95f57bb5d5
commit
de0d6a68ac
4 changed files with 506 additions and 164 deletions
|
|
@ -49,6 +49,7 @@ class Keys:
|
|||
EXPERT_WEIGHTS_SCALE = "{arch}.expert_weights_scale"
|
||||
POOLING_TYPE = "{arch}.pooling_type"
|
||||
LOGIT_SCALE = "{arch}.logit_scale"
|
||||
DECODER_START_TOKEN_ID = "{arch}.decoder_start_token_id"
|
||||
|
||||
class Attention:
|
||||
HEAD_COUNT = "{arch}.attention.head_count"
|
||||
|
|
@ -62,6 +63,7 @@ class Keys:
|
|||
CAUSAL = "{arch}.attention.causal"
|
||||
Q_LORA_RANK = "{arch}.attention.q_lora_rank"
|
||||
KV_LORA_RANK = "{arch}.attention.kv_lora_rank"
|
||||
REL_BUCKETS_COUNT = "{arch}.attention.relative_buckets_count"
|
||||
|
||||
class Rope:
|
||||
DIMENSION_COUNT = "{arch}.rope.dimension_count"
|
||||
|
|
@ -80,33 +82,35 @@ class Keys:
|
|||
TIME_STEP_RANK = "{arch}.ssm.time_step_rank"
|
||||
|
||||
class Tokenizer:
|
||||
MODEL = "tokenizer.ggml.model"
|
||||
PRE = "tokenizer.ggml.pre"
|
||||
LIST = "tokenizer.ggml.tokens"
|
||||
TOKEN_TYPE = "tokenizer.ggml.token_type"
|
||||
TOKEN_TYPE_COUNT = "tokenizer.ggml.token_type_count" # for BERT-style token types
|
||||
SCORES = "tokenizer.ggml.scores"
|
||||
MERGES = "tokenizer.ggml.merges"
|
||||
BOS_ID = "tokenizer.ggml.bos_token_id"
|
||||
EOS_ID = "tokenizer.ggml.eos_token_id"
|
||||
UNK_ID = "tokenizer.ggml.unknown_token_id"
|
||||
SEP_ID = "tokenizer.ggml.seperator_token_id"
|
||||
PAD_ID = "tokenizer.ggml.padding_token_id"
|
||||
CLS_ID = "tokenizer.ggml.cls_token_id"
|
||||
MASK_ID = "tokenizer.ggml.mask_token_id"
|
||||
ADD_BOS = "tokenizer.ggml.add_bos_token"
|
||||
ADD_EOS = "tokenizer.ggml.add_eos_token"
|
||||
ADD_PREFIX = "tokenizer.ggml.add_space_prefix"
|
||||
HF_JSON = "tokenizer.huggingface.json"
|
||||
RWKV = "tokenizer.rwkv.world"
|
||||
CHAT_TEMPLATE = "tokenizer.chat_template"
|
||||
CHAT_TEMPLATE_N = "tokenizer.chat_template.{name}"
|
||||
CHAT_TEMPLATES = "tokenizer.chat_templates"
|
||||
MODEL = "tokenizer.ggml.model"
|
||||
PRE = "tokenizer.ggml.pre"
|
||||
LIST = "tokenizer.ggml.tokens"
|
||||
TOKEN_TYPE = "tokenizer.ggml.token_type"
|
||||
TOKEN_TYPE_COUNT = "tokenizer.ggml.token_type_count" # for BERT-style token types
|
||||
SCORES = "tokenizer.ggml.scores"
|
||||
MERGES = "tokenizer.ggml.merges"
|
||||
BOS_ID = "tokenizer.ggml.bos_token_id"
|
||||
EOS_ID = "tokenizer.ggml.eos_token_id"
|
||||
UNK_ID = "tokenizer.ggml.unknown_token_id"
|
||||
SEP_ID = "tokenizer.ggml.seperator_token_id"
|
||||
PAD_ID = "tokenizer.ggml.padding_token_id"
|
||||
CLS_ID = "tokenizer.ggml.cls_token_id"
|
||||
MASK_ID = "tokenizer.ggml.mask_token_id"
|
||||
ADD_BOS = "tokenizer.ggml.add_bos_token"
|
||||
ADD_EOS = "tokenizer.ggml.add_eos_token"
|
||||
ADD_PREFIX = "tokenizer.ggml.add_space_prefix"
|
||||
REMOVE_EXTRA_WS = "tokenizer.ggml.remove_extra_whitespaces"
|
||||
PRECOMPILED_CHARSMAP = "tokenizer.ggml.precompiled_charsmap"
|
||||
HF_JSON = "tokenizer.huggingface.json"
|
||||
RWKV = "tokenizer.rwkv.world"
|
||||
CHAT_TEMPLATE = "tokenizer.chat_template"
|
||||
CHAT_TEMPLATE_N = "tokenizer.chat_template.{name}"
|
||||
CHAT_TEMPLATES = "tokenizer.chat_templates"
|
||||
# FIM/Infill special tokens constants
|
||||
PREFIX_ID = "tokenizer.ggml.prefix_token_id"
|
||||
SUFFIX_ID = "tokenizer.ggml.suffix_token_id"
|
||||
MIDDLE_ID = "tokenizer.ggml.middle_token_id"
|
||||
EOT_ID = "tokenizer.ggml.eot_token_id"
|
||||
PREFIX_ID = "tokenizer.ggml.prefix_token_id"
|
||||
SUFFIX_ID = "tokenizer.ggml.suffix_token_id"
|
||||
MIDDLE_ID = "tokenizer.ggml.middle_token_id"
|
||||
EOT_ID = "tokenizer.ggml.eot_token_id"
|
||||
|
||||
|
||||
#
|
||||
|
|
@ -115,94 +119,123 @@ class Keys:
|
|||
|
||||
|
||||
class MODEL_ARCH(IntEnum):
|
||||
LLAMA = auto()
|
||||
FALCON = auto()
|
||||
BAICHUAN = auto()
|
||||
GROK = auto()
|
||||
GPT2 = auto()
|
||||
GPTJ = auto()
|
||||
GPTNEOX = auto()
|
||||
MPT = auto()
|
||||
STARCODER = auto()
|
||||
REFACT = auto()
|
||||
BERT = auto()
|
||||
NOMIC_BERT = auto()
|
||||
LLAMA = auto()
|
||||
FALCON = auto()
|
||||
BAICHUAN = auto()
|
||||
GROK = auto()
|
||||
GPT2 = auto()
|
||||
GPTJ = auto()
|
||||
GPTNEOX = auto()
|
||||
MPT = auto()
|
||||
STARCODER = auto()
|
||||
REFACT = auto()
|
||||
BERT = auto()
|
||||
NOMIC_BERT = auto()
|
||||
JINA_BERT_V2 = auto()
|
||||
BLOOM = auto()
|
||||
STABLELM = auto()
|
||||
QWEN = auto()
|
||||
QWEN2 = auto()
|
||||
QWEN2MOE = auto()
|
||||
PHI2 = auto()
|
||||
PHI3 = auto()
|
||||
PLAMO = auto()
|
||||
CODESHELL = auto()
|
||||
ORION = auto()
|
||||
INTERNLM2 = auto()
|
||||
MINICPM = auto()
|
||||
GEMMA = auto()
|
||||
STARCODER2 = auto()
|
||||
MAMBA = auto()
|
||||
XVERSE = auto()
|
||||
COMMAND_R = auto()
|
||||
DBRX = auto()
|
||||
OLMO = auto()
|
||||
ARCTIC = auto()
|
||||
DEEPSEEK2 = auto()
|
||||
BITNET = auto()
|
||||
BLOOM = auto()
|
||||
STABLELM = auto()
|
||||
QWEN = auto()
|
||||
QWEN2 = auto()
|
||||
QWEN2MOE = auto()
|
||||
PHI2 = auto()
|
||||
PHI3 = auto()
|
||||
PLAMO = auto()
|
||||
CODESHELL = auto()
|
||||
ORION = auto()
|
||||
INTERNLM2 = auto()
|
||||
MINICPM = auto()
|
||||
GEMMA = auto()
|
||||
STARCODER2 = auto()
|
||||
MAMBA = auto()
|
||||
XVERSE = auto()
|
||||
COMMAND_R = auto()
|
||||
DBRX = auto()
|
||||
OLMO = auto()
|
||||
ARCTIC = auto()
|
||||
DEEPSEEK2 = auto()
|
||||
BITNET = auto()
|
||||
T5 = auto()
|
||||
|
||||
|
||||
class MODEL_TENSOR(IntEnum):
|
||||
TOKEN_EMBD = auto()
|
||||
TOKEN_EMBD_NORM = auto()
|
||||
TOKEN_TYPES = auto()
|
||||
POS_EMBD = auto()
|
||||
OUTPUT = auto()
|
||||
OUTPUT_NORM = auto()
|
||||
ROPE_FREQS = auto()
|
||||
ROPE_FACTORS_LONG = auto()
|
||||
ROPE_FACTORS_SHORT = auto()
|
||||
ATTN_Q = auto()
|
||||
ATTN_K = auto()
|
||||
ATTN_V = auto()
|
||||
ATTN_QKV = auto()
|
||||
ATTN_OUT = auto()
|
||||
ATTN_NORM = auto()
|
||||
ATTN_NORM_2 = auto()
|
||||
ATTN_OUT_NORM = auto()
|
||||
ATTN_ROT_EMBD = auto()
|
||||
FFN_GATE_INP = auto()
|
||||
FFN_GATE_INP_SHEXP = auto()
|
||||
FFN_NORM = auto()
|
||||
FFN_GATE = auto()
|
||||
FFN_DOWN = auto()
|
||||
FFN_UP = auto()
|
||||
FFN_ACT = auto()
|
||||
FFN_NORM_EXP = auto()
|
||||
FFN_GATE_EXP = auto()
|
||||
FFN_DOWN_EXP = auto()
|
||||
FFN_UP_EXP = auto()
|
||||
FFN_GATE_SHEXP = auto()
|
||||
FFN_DOWN_SHEXP = auto()
|
||||
FFN_UP_SHEXP = auto()
|
||||
ATTN_Q_NORM = auto()
|
||||
ATTN_K_NORM = auto()
|
||||
LAYER_OUT_NORM = auto()
|
||||
SSM_IN = auto()
|
||||
SSM_CONV1D = auto()
|
||||
SSM_X = auto()
|
||||
SSM_DT = auto()
|
||||
SSM_A = auto()
|
||||
SSM_D = auto()
|
||||
SSM_OUT = auto()
|
||||
ATTN_Q_A = auto()
|
||||
ATTN_Q_B = auto()
|
||||
ATTN_KV_A_MQA = auto()
|
||||
ATTN_KV_B = auto()
|
||||
ATTN_Q_A_NORM = auto()
|
||||
ATTN_KV_A_NORM = auto()
|
||||
FFN_SUB_NORM = auto()
|
||||
ATTN_SUB_NORM = auto()
|
||||
TOKEN_EMBD = auto()
|
||||
TOKEN_EMBD_NORM = auto()
|
||||
TOKEN_TYPES = auto()
|
||||
POS_EMBD = auto()
|
||||
OUTPUT = auto()
|
||||
OUTPUT_NORM = auto()
|
||||
ROPE_FREQS = auto()
|
||||
ROPE_FACTORS_LONG = auto()
|
||||
ROPE_FACTORS_SHORT = auto()
|
||||
ATTN_Q = auto()
|
||||
ATTN_K = auto()
|
||||
ATTN_V = auto()
|
||||
ATTN_QKV = auto()
|
||||
ATTN_OUT = auto()
|
||||
ATTN_NORM = auto()
|
||||
ATTN_NORM_2 = auto()
|
||||
ATTN_OUT_NORM = auto()
|
||||
ATTN_ROT_EMBD = auto()
|
||||
FFN_GATE_INP = auto()
|
||||
FFN_GATE_INP_SHEXP = auto()
|
||||
FFN_NORM = auto()
|
||||
FFN_GATE = auto()
|
||||
FFN_DOWN = auto()
|
||||
FFN_UP = auto()
|
||||
FFN_ACT = auto()
|
||||
FFN_NORM_EXP = auto()
|
||||
FFN_GATE_EXP = auto()
|
||||
FFN_DOWN_EXP = auto()
|
||||
FFN_UP_EXP = auto()
|
||||
FFN_GATE_SHEXP = auto()
|
||||
FFN_DOWN_SHEXP = auto()
|
||||
FFN_UP_SHEXP = auto()
|
||||
ATTN_Q_NORM = auto()
|
||||
ATTN_K_NORM = auto()
|
||||
LAYER_OUT_NORM = auto()
|
||||
SSM_IN = auto()
|
||||
SSM_CONV1D = auto()
|
||||
SSM_X = auto()
|
||||
SSM_DT = auto()
|
||||
SSM_A = auto()
|
||||
SSM_D = auto()
|
||||
SSM_OUT = auto()
|
||||
ATTN_Q_A = auto()
|
||||
ATTN_Q_B = auto()
|
||||
ATTN_KV_A_MQA = auto()
|
||||
ATTN_KV_B = auto()
|
||||
ATTN_Q_A_NORM = auto()
|
||||
ATTN_KV_A_NORM = auto()
|
||||
FFN_SUB_NORM = auto()
|
||||
ATTN_SUB_NORM = auto()
|
||||
DEC_ATTN_NORM = auto()
|
||||
DEC_ATTN_Q = auto()
|
||||
DEC_ATTN_K = auto()
|
||||
DEC_ATTN_V = auto()
|
||||
DEC_ATTN_OUT = auto()
|
||||
DEC_ATTN_REL_B = auto()
|
||||
DEC_CROSS_ATTN_NORM = auto()
|
||||
DEC_CROSS_ATTN_Q = auto()
|
||||
DEC_CROSS_ATTN_K = auto()
|
||||
DEC_CROSS_ATTN_V = auto()
|
||||
DEC_CROSS_ATTN_OUT = auto()
|
||||
DEC_CROSS_ATTN_REL_B = auto()
|
||||
DEC_FFN_NORM = auto()
|
||||
DEC_FFN_GATE = auto()
|
||||
DEC_FFN_DOWN = auto()
|
||||
DEC_FFN_UP = auto()
|
||||
DEC_OUTPUT_NORM = auto()
|
||||
ENC_ATTN_NORM = auto()
|
||||
ENC_ATTN_Q = auto()
|
||||
ENC_ATTN_K = auto()
|
||||
ENC_ATTN_V = auto()
|
||||
ENC_ATTN_OUT = auto()
|
||||
ENC_ATTN_REL_B = auto()
|
||||
ENC_FFN_NORM = auto()
|
||||
ENC_FFN_GATE = auto()
|
||||
ENC_FFN_DOWN = auto()
|
||||
ENC_FFN_UP = auto()
|
||||
ENC_OUTPUT_NORM = auto()
|
||||
|
||||
|
||||
MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
|
||||
|
|
@ -241,59 +274,88 @@ MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
|
|||
MODEL_ARCH.ARCTIC: "arctic",
|
||||
MODEL_ARCH.DEEPSEEK2: "deepseek2",
|
||||
MODEL_ARCH.BITNET: "bitnet",
|
||||
MODEL_ARCH.T5: "t5",
|
||||
}
|
||||
|
||||
TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
|
||||
MODEL_TENSOR.TOKEN_EMBD: "token_embd",
|
||||
MODEL_TENSOR.TOKEN_EMBD_NORM: "token_embd_norm",
|
||||
MODEL_TENSOR.TOKEN_TYPES: "token_types",
|
||||
MODEL_TENSOR.POS_EMBD: "position_embd",
|
||||
MODEL_TENSOR.OUTPUT_NORM: "output_norm",
|
||||
MODEL_TENSOR.OUTPUT: "output",
|
||||
MODEL_TENSOR.ROPE_FREQS: "rope_freqs",
|
||||
MODEL_TENSOR.ROPE_FACTORS_LONG: "rope_factors_long",
|
||||
MODEL_TENSOR.ROPE_FACTORS_SHORT: "rope_factors_short",
|
||||
MODEL_TENSOR.ATTN_NORM: "blk.{bid}.attn_norm",
|
||||
MODEL_TENSOR.ATTN_NORM_2: "blk.{bid}.attn_norm_2",
|
||||
MODEL_TENSOR.ATTN_QKV: "blk.{bid}.attn_qkv",
|
||||
MODEL_TENSOR.ATTN_Q: "blk.{bid}.attn_q",
|
||||
MODEL_TENSOR.ATTN_K: "blk.{bid}.attn_k",
|
||||
MODEL_TENSOR.ATTN_V: "blk.{bid}.attn_v",
|
||||
MODEL_TENSOR.ATTN_OUT: "blk.{bid}.attn_output",
|
||||
MODEL_TENSOR.ATTN_ROT_EMBD: "blk.{bid}.attn_rot_embd",
|
||||
MODEL_TENSOR.ATTN_Q_NORM: "blk.{bid}.attn_q_norm",
|
||||
MODEL_TENSOR.ATTN_K_NORM: "blk.{bid}.attn_k_norm",
|
||||
MODEL_TENSOR.ATTN_OUT_NORM: "blk.{bid}.attn_output_norm",
|
||||
MODEL_TENSOR.FFN_GATE_INP: "blk.{bid}.ffn_gate_inp",
|
||||
MODEL_TENSOR.FFN_GATE_INP_SHEXP: "blk.{bid}.ffn_gate_inp_shexp",
|
||||
MODEL_TENSOR.FFN_NORM: "blk.{bid}.ffn_norm",
|
||||
MODEL_TENSOR.FFN_GATE: "blk.{bid}.ffn_gate",
|
||||
MODEL_TENSOR.FFN_DOWN: "blk.{bid}.ffn_down",
|
||||
MODEL_TENSOR.FFN_UP: "blk.{bid}.ffn_up",
|
||||
MODEL_TENSOR.FFN_GATE_SHEXP: "blk.{bid}.ffn_gate_shexp",
|
||||
MODEL_TENSOR.FFN_DOWN_SHEXP: "blk.{bid}.ffn_down_shexp",
|
||||
MODEL_TENSOR.FFN_UP_SHEXP: "blk.{bid}.ffn_up_shexp",
|
||||
MODEL_TENSOR.FFN_ACT: "blk.{bid}.ffn",
|
||||
MODEL_TENSOR.FFN_NORM_EXP: "blk.{bid}.ffn_norm_exps",
|
||||
MODEL_TENSOR.FFN_GATE_EXP: "blk.{bid}.ffn_gate_exps",
|
||||
MODEL_TENSOR.FFN_DOWN_EXP: "blk.{bid}.ffn_down_exps",
|
||||
MODEL_TENSOR.FFN_UP_EXP: "blk.{bid}.ffn_up_exps",
|
||||
MODEL_TENSOR.LAYER_OUT_NORM: "blk.{bid}.layer_output_norm",
|
||||
MODEL_TENSOR.SSM_IN: "blk.{bid}.ssm_in",
|
||||
MODEL_TENSOR.SSM_CONV1D: "blk.{bid}.ssm_conv1d",
|
||||
MODEL_TENSOR.SSM_X: "blk.{bid}.ssm_x",
|
||||
MODEL_TENSOR.SSM_DT: "blk.{bid}.ssm_dt",
|
||||
MODEL_TENSOR.SSM_A: "blk.{bid}.ssm_a",
|
||||
MODEL_TENSOR.SSM_D: "blk.{bid}.ssm_d",
|
||||
MODEL_TENSOR.SSM_OUT: "blk.{bid}.ssm_out",
|
||||
MODEL_TENSOR.ATTN_Q_A: "blk.{bid}.attn_q_a",
|
||||
MODEL_TENSOR.ATTN_Q_B: "blk.{bid}.attn_q_b",
|
||||
MODEL_TENSOR.ATTN_KV_A_MQA: "blk.{bid}.attn_kv_a_mqa",
|
||||
MODEL_TENSOR.ATTN_KV_B: "blk.{bid}.attn_kv_b",
|
||||
MODEL_TENSOR.ATTN_Q_A_NORM: "blk.{bid}.attn_q_a_norm",
|
||||
MODEL_TENSOR.ATTN_KV_A_NORM: "blk.{bid}.attn_kv_a_norm",
|
||||
MODEL_TENSOR.ATTN_SUB_NORM: "blk.{bid}.attn_sub_norm",
|
||||
MODEL_TENSOR.FFN_SUB_NORM: "blk.{bid}.ffn_sub_norm",
|
||||
MODEL_TENSOR.TOKEN_EMBD: "token_embd",
|
||||
MODEL_TENSOR.TOKEN_EMBD_NORM: "token_embd_norm",
|
||||
MODEL_TENSOR.TOKEN_TYPES: "token_types",
|
||||
MODEL_TENSOR.POS_EMBD: "position_embd",
|
||||
MODEL_TENSOR.OUTPUT_NORM: "output_norm",
|
||||
MODEL_TENSOR.OUTPUT: "output",
|
||||
MODEL_TENSOR.ROPE_FREQS: "rope_freqs",
|
||||
MODEL_TENSOR.ROPE_FACTORS_LONG: "rope_factors_long",
|
||||
MODEL_TENSOR.ROPE_FACTORS_SHORT: "rope_factors_short",
|
||||
MODEL_TENSOR.ATTN_NORM: "blk.{bid}.attn_norm",
|
||||
MODEL_TENSOR.ATTN_NORM_2: "blk.{bid}.attn_norm_2",
|
||||
MODEL_TENSOR.ATTN_QKV: "blk.{bid}.attn_qkv",
|
||||
MODEL_TENSOR.ATTN_Q: "blk.{bid}.attn_q",
|
||||
MODEL_TENSOR.ATTN_K: "blk.{bid}.attn_k",
|
||||
MODEL_TENSOR.ATTN_V: "blk.{bid}.attn_v",
|
||||
MODEL_TENSOR.ATTN_OUT: "blk.{bid}.attn_output",
|
||||
MODEL_TENSOR.ATTN_ROT_EMBD: "blk.{bid}.attn_rot_embd",
|
||||
MODEL_TENSOR.ATTN_Q_NORM: "blk.{bid}.attn_q_norm",
|
||||
MODEL_TENSOR.ATTN_K_NORM: "blk.{bid}.attn_k_norm",
|
||||
MODEL_TENSOR.ATTN_OUT_NORM: "blk.{bid}.attn_output_norm",
|
||||
MODEL_TENSOR.FFN_GATE_INP: "blk.{bid}.ffn_gate_inp",
|
||||
MODEL_TENSOR.FFN_GATE_INP_SHEXP: "blk.{bid}.ffn_gate_inp_shexp",
|
||||
MODEL_TENSOR.FFN_NORM: "blk.{bid}.ffn_norm",
|
||||
MODEL_TENSOR.FFN_GATE: "blk.{bid}.ffn_gate",
|
||||
MODEL_TENSOR.FFN_DOWN: "blk.{bid}.ffn_down",
|
||||
MODEL_TENSOR.FFN_UP: "blk.{bid}.ffn_up",
|
||||
MODEL_TENSOR.FFN_GATE_SHEXP: "blk.{bid}.ffn_gate_shexp",
|
||||
MODEL_TENSOR.FFN_DOWN_SHEXP: "blk.{bid}.ffn_down_shexp",
|
||||
MODEL_TENSOR.FFN_UP_SHEXP: "blk.{bid}.ffn_up_shexp",
|
||||
MODEL_TENSOR.FFN_ACT: "blk.{bid}.ffn",
|
||||
MODEL_TENSOR.FFN_NORM_EXP: "blk.{bid}.ffn_norm_exps",
|
||||
MODEL_TENSOR.FFN_GATE_EXP: "blk.{bid}.ffn_gate_exps",
|
||||
MODEL_TENSOR.FFN_DOWN_EXP: "blk.{bid}.ffn_down_exps",
|
||||
MODEL_TENSOR.FFN_UP_EXP: "blk.{bid}.ffn_up_exps",
|
||||
MODEL_TENSOR.LAYER_OUT_NORM: "blk.{bid}.layer_output_norm",
|
||||
MODEL_TENSOR.SSM_IN: "blk.{bid}.ssm_in",
|
||||
MODEL_TENSOR.SSM_CONV1D: "blk.{bid}.ssm_conv1d",
|
||||
MODEL_TENSOR.SSM_X: "blk.{bid}.ssm_x",
|
||||
MODEL_TENSOR.SSM_DT: "blk.{bid}.ssm_dt",
|
||||
MODEL_TENSOR.SSM_A: "blk.{bid}.ssm_a",
|
||||
MODEL_TENSOR.SSM_D: "blk.{bid}.ssm_d",
|
||||
MODEL_TENSOR.SSM_OUT: "blk.{bid}.ssm_out",
|
||||
MODEL_TENSOR.ATTN_Q_A: "blk.{bid}.attn_q_a",
|
||||
MODEL_TENSOR.ATTN_Q_B: "blk.{bid}.attn_q_b",
|
||||
MODEL_TENSOR.ATTN_KV_A_MQA: "blk.{bid}.attn_kv_a_mqa",
|
||||
MODEL_TENSOR.ATTN_KV_B: "blk.{bid}.attn_kv_b",
|
||||
MODEL_TENSOR.ATTN_Q_A_NORM: "blk.{bid}.attn_q_a_norm",
|
||||
MODEL_TENSOR.ATTN_KV_A_NORM: "blk.{bid}.attn_kv_a_norm",
|
||||
MODEL_TENSOR.ATTN_SUB_NORM: "blk.{bid}.attn_sub_norm",
|
||||
MODEL_TENSOR.FFN_SUB_NORM: "blk.{bid}.ffn_sub_norm",
|
||||
MODEL_TENSOR.DEC_ATTN_NORM: "dec.blk.{bid}.attn_norm",
|
||||
MODEL_TENSOR.DEC_ATTN_Q: "dec.blk.{bid}.attn_q",
|
||||
MODEL_TENSOR.DEC_ATTN_K: "dec.blk.{bid}.attn_k",
|
||||
MODEL_TENSOR.DEC_ATTN_V: "dec.blk.{bid}.attn_v",
|
||||
MODEL_TENSOR.DEC_ATTN_OUT: "dec.blk.{bid}.attn_o",
|
||||
MODEL_TENSOR.DEC_ATTN_REL_B: "dec.blk.{bid}.attn_rel_b",
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_NORM: "dec.blk.{bid}.cross_attn_norm",
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_Q: "dec.blk.{bid}.cross_attn_q",
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_K: "dec.blk.{bid}.cross_attn_k",
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_V: "dec.blk.{bid}.cross_attn_v",
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_OUT: "dec.blk.{bid}.cross_attn_o",
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_REL_B: "dec.blk.{bid}.cross_attn_rel_b",
|
||||
MODEL_TENSOR.DEC_FFN_NORM: "dec.blk.{bid}.ffn_norm",
|
||||
MODEL_TENSOR.DEC_FFN_GATE: "dec.blk.{bid}.ffn_gate",
|
||||
MODEL_TENSOR.DEC_FFN_DOWN: "dec.blk.{bid}.ffn_down",
|
||||
MODEL_TENSOR.DEC_FFN_UP: "dec.blk.{bid}.ffn_up",
|
||||
MODEL_TENSOR.DEC_OUTPUT_NORM: "dec.output_norm",
|
||||
MODEL_TENSOR.ENC_ATTN_NORM: "enc.blk.{bid}.attn_norm",
|
||||
MODEL_TENSOR.ENC_ATTN_Q: "enc.blk.{bid}.attn_q",
|
||||
MODEL_TENSOR.ENC_ATTN_K: "enc.blk.{bid}.attn_k",
|
||||
MODEL_TENSOR.ENC_ATTN_V: "enc.blk.{bid}.attn_v",
|
||||
MODEL_TENSOR.ENC_ATTN_OUT: "enc.blk.{bid}.attn_o",
|
||||
MODEL_TENSOR.ENC_ATTN_REL_B: "enc.blk.{bid}.attn_rel_b",
|
||||
MODEL_TENSOR.ENC_FFN_NORM: "enc.blk.{bid}.ffn_norm",
|
||||
MODEL_TENSOR.ENC_FFN_GATE: "enc.blk.{bid}.ffn_gate",
|
||||
MODEL_TENSOR.ENC_FFN_DOWN: "enc.blk.{bid}.ffn_down",
|
||||
MODEL_TENSOR.ENC_FFN_UP: "enc.blk.{bid}.ffn_up",
|
||||
MODEL_TENSOR.ENC_OUTPUT_NORM: "enc.output_norm",
|
||||
}
|
||||
|
||||
MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
|
||||
|
|
@ -829,6 +891,38 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
|
|||
MODEL_TENSOR.ATTN_SUB_NORM,
|
||||
MODEL_TENSOR.FFN_SUB_NORM,
|
||||
],
|
||||
MODEL_ARCH.T5: [
|
||||
MODEL_TENSOR.TOKEN_EMBD,
|
||||
MODEL_TENSOR.OUTPUT,
|
||||
MODEL_TENSOR.DEC_ATTN_NORM,
|
||||
MODEL_TENSOR.DEC_ATTN_Q,
|
||||
MODEL_TENSOR.DEC_ATTN_K,
|
||||
MODEL_TENSOR.DEC_ATTN_V,
|
||||
MODEL_TENSOR.DEC_ATTN_OUT,
|
||||
MODEL_TENSOR.DEC_ATTN_REL_B,
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_NORM,
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_Q,
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_K,
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_V,
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_OUT,
|
||||
MODEL_TENSOR.DEC_CROSS_ATTN_REL_B,
|
||||
MODEL_TENSOR.DEC_FFN_NORM,
|
||||
MODEL_TENSOR.DEC_FFN_GATE,
|
||||
MODEL_TENSOR.DEC_FFN_DOWN,
|
||||
MODEL_TENSOR.DEC_FFN_UP,
|
||||
MODEL_TENSOR.DEC_OUTPUT_NORM,
|
||||
MODEL_TENSOR.ENC_ATTN_NORM,
|
||||
MODEL_TENSOR.ENC_ATTN_Q,
|
||||
MODEL_TENSOR.ENC_ATTN_K,
|
||||
MODEL_TENSOR.ENC_ATTN_V,
|
||||
MODEL_TENSOR.ENC_ATTN_OUT,
|
||||
MODEL_TENSOR.ENC_ATTN_REL_B,
|
||||
MODEL_TENSOR.ENC_FFN_NORM,
|
||||
MODEL_TENSOR.ENC_FFN_GATE,
|
||||
MODEL_TENSOR.ENC_FFN_DOWN,
|
||||
MODEL_TENSOR.ENC_FFN_UP,
|
||||
MODEL_TENSOR.ENC_OUTPUT_NORM,
|
||||
],
|
||||
# TODO
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue