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llama.cpp/conversion/plm.py
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2026-05-15 15:18:12 +02:00
from __future__ import annotations
from .base import ModelBase, TextModel, gguf
@ModelBase.register("PLMForCausalLM")
class PLMModel(TextModel):
model_arch = gguf.MODEL_ARCH.PLM
def set_vocab(self):
self._set_vocab_gpt2()
def set_gguf_parameters(self):
super().set_gguf_parameters()
hparams = self.hparams
self.gguf_writer.add_vocab_size(hparams["vocab_size"])
self.gguf_writer.add_kv_lora_rank(hparams["kv_lora_rank"])
self.gguf_writer.add_key_length(hparams["qk_nope_head_dim"] + hparams["qk_rope_head_dim"])
self.gguf_writer.add_value_length(hparams["v_head_dim"])
self.gguf_writer.add_rope_dimension_count(hparams["qk_rope_head_dim"])
def prepare_tensors(self):
super().prepare_tensors()