llama : add qwen2moe (#6074)
* support qwen2moe * fix-review * metal : support unary ops for nelements % 4 != 0 * metal : require contiguousness for float4 unary kernels * metal : require contiguousness for float4 unary kernels (cont) * fix-review * names : for brevity "SHARED_EXP" -> "SHEXP" * llama : reuse build_moe_ffn() * llama : add model type name --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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7 changed files with 537 additions and 101 deletions
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@ -120,6 +120,7 @@ class MODEL_ARCH(IntEnum):
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STABLELM = auto()
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QWEN = auto()
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QWEN2 = auto()
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QWEN2MOE = auto()
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PHI2 = auto()
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PLAMO = auto()
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CODESHELL = auto()
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@ -135,41 +136,45 @@ class MODEL_ARCH(IntEnum):
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class MODEL_TENSOR(IntEnum):
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TOKEN_EMBD = auto()
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TOKEN_EMBD_NORM = auto()
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TOKEN_TYPES = auto()
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POS_EMBD = auto()
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OUTPUT = auto()
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OUTPUT_NORM = auto()
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ROPE_FREQS = auto()
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ATTN_Q = auto()
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ATTN_K = auto()
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ATTN_V = auto()
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ATTN_QKV = auto()
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ATTN_OUT = auto()
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ATTN_NORM = auto()
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ATTN_NORM_2 = auto()
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ATTN_OUT_NORM = auto()
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ATTN_ROT_EMBD = auto()
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FFN_GATE_INP = auto()
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FFN_NORM = auto()
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FFN_GATE = auto()
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FFN_DOWN = auto()
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FFN_UP = auto()
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FFN_ACT = auto()
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FFN_GATE_EXP = auto()
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FFN_DOWN_EXP = auto()
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FFN_UP_EXP = auto()
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ATTN_Q_NORM = auto()
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ATTN_K_NORM = auto()
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LAYER_OUT_NORM = auto()
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SSM_IN = auto()
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SSM_CONV1D = auto()
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SSM_X = auto()
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SSM_DT = auto()
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SSM_A = auto()
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SSM_D = auto()
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SSM_OUT = auto()
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TOKEN_EMBD = auto()
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TOKEN_EMBD_NORM = auto()
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TOKEN_TYPES = auto()
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POS_EMBD = auto()
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OUTPUT = auto()
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OUTPUT_NORM = auto()
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ROPE_FREQS = auto()
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ATTN_Q = auto()
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ATTN_K = auto()
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ATTN_V = auto()
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ATTN_QKV = auto()
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ATTN_OUT = auto()
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ATTN_NORM = auto()
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ATTN_NORM_2 = auto()
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ATTN_OUT_NORM = auto()
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ATTN_ROT_EMBD = auto()
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FFN_GATE_INP = auto()
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FFN_GATE_INP_SHEXP = auto()
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FFN_NORM = auto()
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FFN_GATE = auto()
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FFN_DOWN = auto()
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FFN_UP = auto()
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FFN_ACT = auto()
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FFN_GATE_EXP = auto()
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FFN_DOWN_EXP = auto()
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FFN_UP_EXP = auto()
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FFN_GATE_SHEXP = auto()
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FFN_DOWN_SHEXP = auto()
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FFN_UP_SHEXP = auto()
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ATTN_Q_NORM = auto()
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ATTN_K_NORM = auto()
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LAYER_OUT_NORM = auto()
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SSM_IN = auto()
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SSM_CONV1D = auto()
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SSM_X = auto()
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SSM_DT = auto()
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SSM_A = auto()
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SSM_D = auto()
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SSM_OUT = auto()
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MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
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@ -190,6 +195,7 @@ MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
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MODEL_ARCH.STABLELM: "stablelm",
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MODEL_ARCH.QWEN: "qwen",
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MODEL_ARCH.QWEN2: "qwen2",
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MODEL_ARCH.QWEN2MOE: "qwen2moe",
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MODEL_ARCH.PHI2: "phi2",
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MODEL_ARCH.PLAMO: "plamo",
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MODEL_ARCH.CODESHELL: "codeshell",
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@ -205,41 +211,45 @@ MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
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}
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TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
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MODEL_TENSOR.TOKEN_EMBD: "token_embd",
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MODEL_TENSOR.TOKEN_EMBD_NORM: "token_embd_norm",
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MODEL_TENSOR.TOKEN_TYPES: "token_types",
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MODEL_TENSOR.POS_EMBD: "position_embd",
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MODEL_TENSOR.OUTPUT_NORM: "output_norm",
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MODEL_TENSOR.OUTPUT: "output",
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MODEL_TENSOR.ROPE_FREQS: "rope_freqs",
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MODEL_TENSOR.ATTN_NORM: "blk.{bid}.attn_norm",
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MODEL_TENSOR.ATTN_NORM_2: "blk.{bid}.attn_norm_2",
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MODEL_TENSOR.ATTN_QKV: "blk.{bid}.attn_qkv",
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MODEL_TENSOR.ATTN_Q: "blk.{bid}.attn_q",
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MODEL_TENSOR.ATTN_K: "blk.{bid}.attn_k",
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MODEL_TENSOR.ATTN_V: "blk.{bid}.attn_v",
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MODEL_TENSOR.ATTN_OUT: "blk.{bid}.attn_output",
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MODEL_TENSOR.ATTN_ROT_EMBD: "blk.{bid}.attn_rot_embd",
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MODEL_TENSOR.ATTN_Q_NORM: "blk.{bid}.attn_q_norm",
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MODEL_TENSOR.ATTN_K_NORM: "blk.{bid}.attn_k_norm",
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MODEL_TENSOR.ATTN_OUT_NORM: "blk.{bid}.attn_output_norm",
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MODEL_TENSOR.FFN_GATE_INP: "blk.{bid}.ffn_gate_inp",
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MODEL_TENSOR.FFN_NORM: "blk.{bid}.ffn_norm",
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MODEL_TENSOR.FFN_GATE: "blk.{bid}.ffn_gate",
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MODEL_TENSOR.FFN_DOWN: "blk.{bid}.ffn_down",
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MODEL_TENSOR.FFN_UP: "blk.{bid}.ffn_up",
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MODEL_TENSOR.FFN_ACT: "blk.{bid}.ffn",
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MODEL_TENSOR.FFN_GATE_EXP: "blk.{bid}.ffn_gate_exps",
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MODEL_TENSOR.FFN_DOWN_EXP: "blk.{bid}.ffn_down_exps",
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MODEL_TENSOR.FFN_UP_EXP: "blk.{bid}.ffn_up_exps",
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MODEL_TENSOR.LAYER_OUT_NORM: "blk.{bid}.layer_output_norm",
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MODEL_TENSOR.SSM_IN: "blk.{bid}.ssm_in",
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MODEL_TENSOR.SSM_CONV1D: "blk.{bid}.ssm_conv1d",
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MODEL_TENSOR.SSM_X: "blk.{bid}.ssm_x",
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MODEL_TENSOR.SSM_DT: "blk.{bid}.ssm_dt",
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MODEL_TENSOR.SSM_A: "blk.{bid}.ssm_a",
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MODEL_TENSOR.SSM_D: "blk.{bid}.ssm_d",
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MODEL_TENSOR.SSM_OUT: "blk.{bid}.ssm_out",
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MODEL_TENSOR.TOKEN_EMBD: "token_embd",
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MODEL_TENSOR.TOKEN_EMBD_NORM: "token_embd_norm",
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MODEL_TENSOR.TOKEN_TYPES: "token_types",
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MODEL_TENSOR.POS_EMBD: "position_embd",
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MODEL_TENSOR.OUTPUT_NORM: "output_norm",
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MODEL_TENSOR.OUTPUT: "output",
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MODEL_TENSOR.ROPE_FREQS: "rope_freqs",
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MODEL_TENSOR.ATTN_NORM: "blk.{bid}.attn_norm",
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MODEL_TENSOR.ATTN_NORM_2: "blk.{bid}.attn_norm_2",
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MODEL_TENSOR.ATTN_QKV: "blk.{bid}.attn_qkv",
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MODEL_TENSOR.ATTN_Q: "blk.{bid}.attn_q",
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MODEL_TENSOR.ATTN_K: "blk.{bid}.attn_k",
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MODEL_TENSOR.ATTN_V: "blk.{bid}.attn_v",
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MODEL_TENSOR.ATTN_OUT: "blk.{bid}.attn_output",
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MODEL_TENSOR.ATTN_ROT_EMBD: "blk.{bid}.attn_rot_embd",
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MODEL_TENSOR.ATTN_Q_NORM: "blk.{bid}.attn_q_norm",
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MODEL_TENSOR.ATTN_K_NORM: "blk.{bid}.attn_k_norm",
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MODEL_TENSOR.ATTN_OUT_NORM: "blk.{bid}.attn_output_norm",
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MODEL_TENSOR.FFN_GATE_INP: "blk.{bid}.ffn_gate_inp",
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MODEL_TENSOR.FFN_GATE_INP_SHEXP: "blk.{bid}.ffn_gate_inp_shexp",
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MODEL_TENSOR.FFN_NORM: "blk.{bid}.ffn_norm",
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MODEL_TENSOR.FFN_GATE: "blk.{bid}.ffn_gate",
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MODEL_TENSOR.FFN_DOWN: "blk.{bid}.ffn_down",
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MODEL_TENSOR.FFN_UP: "blk.{bid}.ffn_up",
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MODEL_TENSOR.FFN_GATE_SHEXP: "blk.{bid}.ffn_gate_shexp",
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MODEL_TENSOR.FFN_DOWN_SHEXP: "blk.{bid}.ffn_down_shexp",
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MODEL_TENSOR.FFN_UP_SHEXP: "blk.{bid}.ffn_up_shexp",
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MODEL_TENSOR.FFN_ACT: "blk.{bid}.ffn",
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MODEL_TENSOR.FFN_GATE_EXP: "blk.{bid}.ffn_gate_exps",
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MODEL_TENSOR.FFN_DOWN_EXP: "blk.{bid}.ffn_down_exps",
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MODEL_TENSOR.FFN_UP_EXP: "blk.{bid}.ffn_up_exps",
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MODEL_TENSOR.LAYER_OUT_NORM: "blk.{bid}.layer_output_norm",
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MODEL_TENSOR.SSM_IN: "blk.{bid}.ssm_in",
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MODEL_TENSOR.SSM_CONV1D: "blk.{bid}.ssm_conv1d",
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MODEL_TENSOR.SSM_X: "blk.{bid}.ssm_x",
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MODEL_TENSOR.SSM_DT: "blk.{bid}.ssm_dt",
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MODEL_TENSOR.SSM_A: "blk.{bid}.ssm_a",
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MODEL_TENSOR.SSM_D: "blk.{bid}.ssm_d",
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MODEL_TENSOR.SSM_OUT: "blk.{bid}.ssm_out",
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}
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MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
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@ -474,6 +484,25 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
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MODEL_TENSOR.FFN_DOWN,
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MODEL_TENSOR.FFN_UP,
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],
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MODEL_ARCH.QWEN2MOE: [
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MODEL_TENSOR.TOKEN_EMBD,
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MODEL_TENSOR.OUTPUT_NORM,
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MODEL_TENSOR.OUTPUT,
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MODEL_TENSOR.ATTN_NORM,
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MODEL_TENSOR.ATTN_Q,
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MODEL_TENSOR.ATTN_K,
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MODEL_TENSOR.ATTN_V,
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MODEL_TENSOR.ATTN_OUT,
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MODEL_TENSOR.FFN_NORM,
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MODEL_TENSOR.FFN_GATE_INP,
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MODEL_TENSOR.FFN_GATE_EXP,
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MODEL_TENSOR.FFN_DOWN_EXP,
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MODEL_TENSOR.FFN_UP_EXP,
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MODEL_TENSOR.FFN_GATE_INP_SHEXP,
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MODEL_TENSOR.FFN_GATE_SHEXP,
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MODEL_TENSOR.FFN_DOWN_SHEXP,
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MODEL_TENSOR.FFN_UP_SHEXP,
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],
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MODEL_ARCH.PLAMO: [
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MODEL_TENSOR.TOKEN_EMBD,
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MODEL_TENSOR.OUTPUT_NORM,
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