llama: Add option to merge gate and exp weights (#19139)
* llama: Add option to merge gate and exp weights * Update convert_hf_to_gguf.py Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * Update convert_hf_to_gguf.py Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * update constants.py * add gate_up for the all MoE models * convert: simplify merge tensor condition * update constants.py * reduce number of models, add create_tensor_gate_up helper --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
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@@ -532,6 +532,7 @@ class MODEL_TENSOR(IntEnum):
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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_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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@@ -980,6 +981,7 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
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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.FFN_GATE_UP_EXP: "blk.{bid}.ffn_gate_up_exps",
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MODEL_TENSOR.FFN_EXP_PROBS_B: "blk.{bid}.exp_probs_b",
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MODEL_TENSOR.LAYER_OUT_NORM: "blk.{bid}.layer_output_norm",
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MODEL_TENSOR.PER_LAYER_TOKEN_EMBD: "per_layer_token_embd", # gemma3n
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@@ -1820,6 +1822,7 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
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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_EXP,
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MODEL_TENSOR.FFN_GATE_UP_EXP,
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MODEL_TENSOR.SSM_A,
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MODEL_TENSOR.SSM_CONV1D,
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MODEL_TENSOR.SSM_DT,
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@@ -1909,6 +1912,7 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
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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_EXP,
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MODEL_TENSOR.FFN_GATE_UP_EXP,
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MODEL_TENSOR.SSM_A,
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MODEL_TENSOR.SSM_CONV1D,
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MODEL_TENSOR.SSM_DT,
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@@ -2610,6 +2614,7 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
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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_UP_EXP,
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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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@@ -567,6 +567,10 @@ class TensorNameMap:
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"model.layers.{bid}.mlp.chunk_experts.gate_proj", # grovemoe
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),
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MODEL_TENSOR.FFN_GATE_UP_EXP: (
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"model.layers.{bid}.mlp.experts.gate_up_proj",
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),
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# Feed-forward down
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MODEL_TENSOR.FFN_DOWN: (
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"gpt_neox.layers.{bid}.mlp.dense_4h_to_h", # gptneox
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