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model : add tokenizer from LFM2.5-Audio-1.5B (#19687)

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* model : Add tokenizer from LFM2.5-Audio-1.5B

[LFM2.5-Audio-1.5B](https://huggingface.co/LiquidAI/LFM2.5-Audio-1.5B) introduced lightweight audio tokenizer.

Tokenizer based on LFM2 architecture and acts as "embedding" model with
different input `n_embd` and output `n_embd_out`.

To be used in https://github.com/ggml-org/llama.cpp/pull/18641.

To convert use

```shell
python3 convert_hf_to_gguf.py /path/to/LFM2.5-Audio-1.5B/audio_detokenizer
```

* Update convert_hf_to_gguf.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Formatting

* Rework check for attention layers

* Add LFM2 SWA model support

* Address PR feedback

* Set vocab to none

* Move helper function definitions to cpp file

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
This commit is contained in:
Tarek Dakhran
2026-02-19 09:54:48 +01:00
committed by GitHub
parent eacb4b67a2
commit 8004f3a8d1
7 changed files with 185 additions and 137 deletions
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src/llama-model.h
+3 -2
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@@ -492,8 +492,9 @@ struct llama_model {
//Dense linear projections for SentenceTransformers models like embeddinggemma
// For Sentence Transformers models structure see
// https://sbert.net/docs/sentence_transformer/usage/custom_models.html#structure-of-sentence-transformer-models
struct ggml_tensor * dense_2_out_layers = nullptr;
struct ggml_tensor * dense_3_out_layers = nullptr;
struct ggml_tensor * dense_2_out_layers = nullptr;
struct ggml_tensor * dense_2_out_layers_b = nullptr;
struct ggml_tensor * dense_3_out_layers = nullptr;
// gguf metadata
std::unordered_map<std::string, std::string> gguf_kv;