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convert : more consistent handling of rope_parameters (#24833)

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Sigbjørn Skjæret
2026-06-20 13:42:36 +03:00
committed by GitHub
parent f449e05537
commit f4043fec01
15 changed files with 40 additions and 39 deletions
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conversion/glm.py
+2 -2
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@@ -124,7 +124,7 @@ class Glm4MoeModel(TextModel):
self.hparams["hidden_size"] // self.hparams["num_attention_heads"]
)
self.gguf_writer.add_rope_dimension_count(
int(rope_dim * self.hparams.get("partial_rotary_factor", 0.5))
int(rope_dim * self.rope_parameters.get("partial_rotary_factor", 0.5))
)
# MoE parameters - Use only routed expert count (shared experts handled separately)
@@ -226,7 +226,7 @@ class GlmMoeDsaModel(DeepseekV2Model):
super().set_gguf_parameters()
rope_dim = self.hparams["qk_rope_head_dim"]
partial_rotary_factor = self.hparams.get("partial_rotary_factor", 1.0)
partial_rotary_factor = self.rope_parameters.get("partial_rotary_factor", 1.0)
self.gguf_writer.add_rope_dimension_count(int(rope_dim * partial_rotary_factor))
# NextN/MTP prediction layers