Lumpiasty/llama.cpp
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model : support for DeepseekV32ForCausalLM with generic DeepSeek Sparse Attention (DSA) implementation (#23346)

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* llama : support DeepSeek V3.2 model family (with DSA lightning indexer)

* convert : handle DeepseekV32ForCausalLM architecture

* ggml : support for f16 GGML_OP_FILL

* memory : separate hparams argument in llama_kv_cache constructor

* memory : add llama_kv_cache_dsa memory (KV cache + lightning indexer cache)

* llama : support for LLM_ARCH_DEEPSEEK32

* model : llama_model_deepseek32 implementation

* model : merge two scale operations into one in DSA lightning indexer implementation

* chore : remove unused code

* model : support NVFP4 in DeepSeek V3.2

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

* memory : refactoring TODO

Co-authored-by: ggerganov <ggerganov@users.noreply.github.com>

---------

Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
Co-authored-by: ggerganov <ggerganov@users.noreply.github.com>
This commit is contained in:
fairydreaming
2026-05-29 10:15:17 +02:00
committed by GitHub
co-authored by Sigbjørn Skjæret ggerganov Stanisław Szymczyk
parent 031ddb2e08
commit 1f0aa2a696
22 changed files with 1261 additions and 7 deletions
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src/llama-kv-cache.h
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@@ -93,8 +93,12 @@ public:
using slot_info_vec_t = std::vector<slot_info>;
// TODO: refactor the memory instances to not depend on `llama_model`
// instead pass all necessary info (e.g. hparams, dev layers, arch, etc.) directly
// likely through `struct llama_memory_params`
llama_kv_cache(
const llama_model & model,
const llama_hparams & hparams,
ggml_type type_k,
ggml_type type_v,
bool v_trans,