model: add GLM 5.2 Indexer support (#25407)

* Start building graph - reuse deepseek32

* Enable kv cache and rotation for glm_dsa architecture

Just follow Deepseek 3.2 for now.

* Reuse prev_top_k for "shared" indexer layers

* GLM 5.2 uses LLAMA_ROPE_TYPE_NORM for the indexer.

This is transformers' `apply_rotary_pos_emb_interleave`

* Default indexer types to GLM pattern

Previous converted GGUFs like https://huggingface.co/unsloth/GLM-5.2-GGUF write indexer weights to _all_ layers, even if they are only required for "full" types. This PR relies on a new key "%s.attention.indexer.types"; if absent, it will use the default GLM 5.2 schedule as defined in https://huggingface.co/zai-org/GLM-5.2/blob/main/config.json#L26.

Note that conversion is not saving this key yet.

* Save indexer types to gguf, restore on load

* Use ggml_lightning_indexer when cparams.fused_lid

Co-authored-by: fairydreaming <166155368+fairydreaming@users.noreply.github.com>

* GLM 5 and 5.1 use full indexers

Co-authored-by: fairydreaming <166155368+fairydreaming@users.noreply.github.com>

* Fix indentation

* Ensure array is zero-filled

* Prefer explicit std::fill

* Assert prev_top_k exists for shared indexer

---------

Co-authored-by: fairydreaming <166155368+fairydreaming@users.noreply.github.com>

conversion/glm.py

@@ -237,6 +237,9 @@ class GlmMoeDsaModel(DeepseekV2Model):
         self.gguf_writer.add_indexer_head_count(self.hparams["index_n_heads"])
         self.gguf_writer.add_indexer_key_length(self.hparams["index_head_dim"])
         self.gguf_writer.add_indexer_top_k(self.hparams["index_topk"])
+        if (indexer_types := self.hparams.get("indexer_types")) is not None:
+            indexer_types = [t == "full" for t in indexer_types]
+            self.gguf_writer.add_indexer_types(indexer_types)
 
 
 @ModelBase.register("SolarOpenForCausalLM")