..
models
mla : make the V tensor a view of K ( #18986 )
2026-01-22 22:09:01 +02:00
CMakeLists.txt
memory : add llama_memory_hybrid_iswa ( #18601 )
2026-01-21 14:30:23 +02:00
llama-adapter.cpp
lora: make sure model keep track of associated adapters ( #18490 )
2026-01-15 10:24:28 +01:00
llama-adapter.h
lora: make sure model keep track of associated adapters ( #18490 )
2026-01-15 10:24:28 +01:00
llama-arch.cpp
model : add EXAONE MoE ( #18543 )
2026-01-13 23:28:38 +01:00
llama-arch.h
model : add EXAONE MoE ( #18543 )
2026-01-13 23:28:38 +01:00
llama-batch.cpp
batch : fix sequence id ownership ( #17915 )
2025-12-11 14:29:47 +02:00
llama-batch.h
batch : fix sequence id ownership ( #17915 )
2025-12-11 14:29:47 +02:00
llama-chat.cpp
model : add EXAONE MoE ( #18543 )
2026-01-13 23:28:38 +01:00
llama-chat.h
model : add EXAONE MoE ( #18543 )
2026-01-13 23:28:38 +01:00
llama-context.cpp
context : do not reserve scheduler for warmups ( #18867 )
2026-01-15 19:35:57 +02:00
llama-context.h
context : reserve new scheduler when graph topology changes ( #18547 )
2026-01-15 16:39:17 +02:00
llama-cparams.cpp
cparams : rename LLAMA_MAX_PARALLEL_SEQUENCES to LLAMA_MAX_SEQ ( #14188 )
2025-06-15 10:08:58 +03:00
llama-cparams.h
context : reserve new scheduler when graph topology changes ( #18547 )
2026-01-15 16:39:17 +02:00
llama-grammar.cpp
common/grammar : replace problematic backtracking regex `[\s\S]*` ( #18342 )
2026-01-03 16:02:43 -06:00
llama-grammar.h
common/grammar : replace problematic backtracking regex `[\s\S]*` ( #18342 )
2026-01-03 16:02:43 -06:00
llama-graph.cpp
mla : make the V tensor a view of K ( #18986 )
2026-01-22 22:09:01 +02:00
llama-graph.h
memory : add llama_memory_hybrid_iswa ( #18601 )
2026-01-21 14:30:23 +02:00
llama-hparams.cpp
kv-cache : optimize KQ mask construction ( #18842 )
2026-01-17 15:42:42 +02:00
llama-hparams.h
kv-cache : optimize KQ mask construction ( #18842 )
2026-01-17 15:42:42 +02:00
llama-impl.cpp
llama: automatically set parameters not set by the user in such a way that maximizes GPU utilization ( #16653 )
2025-12-15 09:24:59 +01:00
llama-impl.h
ggml, llama : use defaulted constructors/destructors ( #17649 )
2025-12-03 07:12:18 +01:00
llama-io.cpp
llama : refactor llama_context, llama_kv_cache, llm_build_context ( #12181 )
2025-03-13 12:35:44 +02:00
llama-io.h
llama : refactor llama_context, llama_kv_cache, llm_build_context ( #12181 )
2025-03-13 12:35:44 +02:00
llama-kv-cache-iswa.cpp
kv-cache : pad the cache size to 256 for performance ( #17046 )
2025-11-07 20:03:25 +02:00
llama-kv-cache-iswa.h
llama: print memory breakdown on exit ( #15860 )
2025-09-24 16:53:48 +02:00
llama-kv-cache.cpp
mla : make the V tensor a view of K ( #18986 )
2026-01-22 22:09:01 +02:00
llama-kv-cache.h
kv-cache : optimize KQ mask construction ( #18842 )
2026-01-17 15:42:42 +02:00
llama-kv-cells.h
llama: store mrope data in KV cell ( #16825 )
2025-10-29 18:09:18 +01:00
llama-memory-hybrid-iswa.cpp
memory : add llama_memory_hybrid_iswa ( #18601 )
2026-01-21 14:30:23 +02:00
llama-memory-hybrid-iswa.h
memory : add llama_memory_hybrid_iswa ( #18601 )
2026-01-21 14:30:23 +02:00
llama-memory-hybrid.cpp
graph : reuse SSM graphs ( #16490 )
2025-12-16 09:36:21 +02:00
llama-memory-hybrid.h
llama: print memory breakdown on exit ( #15860 )
2025-09-24 16:53:48 +02:00
llama-memory-recurrent.cpp
memory: Hybrid context shift ( #17009 )
2025-11-10 17:14:23 +02:00
llama-memory-recurrent.h
llama: consistent ctx <-> buf order for KV cache ( #16746 )
2025-10-28 11:23:54 +01:00
llama-memory.cpp
memory : correctly handle failure in apply() ( #14438 )
2025-06-30 18:03:03 +03:00
llama-memory.h
llama: print memory breakdown on exit ( #15860 )
2025-09-24 16:53:48 +02:00
llama-mmap.cpp
llama : Extend fallback, fix fileno for dio file, exclude case that mmap uses dio file ( #18887 )
2026-01-18 18:35:57 +02:00
llama-mmap.h
llama : add `use_direct_io` flag for model loading ( #18166 )
2026-01-08 08:35:30 +02:00
llama-model-loader.cpp
llama : Extend fallback, fix fileno for dio file, exclude case that mmap uses dio file ( #18887 )
2026-01-18 18:35:57 +02:00
llama-model-loader.h
llama : add `use_direct_io` flag for model loading ( #18166 )
2026-01-08 08:35:30 +02:00
llama-model-saver.cpp
model : add LFM2-ColBert-350M ( #18607 )
2026-01-05 19:52:56 +01:00
llama-model-saver.h
llama/ggml: add LLM training support ( #10544 )
2025-05-12 14:44:49 +02:00
llama-model.cpp
memory : add llama_memory_hybrid_iswa ( #18601 )
2026-01-21 14:30:23 +02:00
llama-model.h
lora: make sure model keep track of associated adapters ( #18490 )
2026-01-15 10:24:28 +01:00
llama-quant.cpp
quant : manual overrides of tensor types take precedence ( #18952 )
2026-01-22 16:17:06 +02:00
llama-quant.h
llama : refactor `src/llama.cpp` ( #10902 )
2025-01-03 10:18:53 +02:00
llama-sampling.cpp
llama : add adaptive-p sampler ( #17927 )
2026-01-15 19:16:29 +02:00
llama-sampling.h
sampling : add support for backend sampling ( #17004 )
2026-01-04 22:22:16 +02:00
llama-vocab.cpp
llama : print_info alignment fix ( #18708 )
2026-01-14 00:05:11 +01:00
llama-vocab.h
model : add EXAONE MoE ( #18543 )
2026-01-13 23:28:38 +01:00
llama.cpp
llama: use host memory if device reports 0 memory ( #18587 )
2026-01-09 05:34:56 +08:00
unicode-data.cpp
server : better security control for public deployments ( #9776 )
2024-10-08 13:27:04 +02:00
unicode-data.h
llama : reduce compile time and binary size ( #9712 )
2024-10-02 15:49:55 +02:00
unicode.cpp
model: support youtu-vl model ( #18479 )
2026-01-01 19:25:54 +01:00
unicode.h
devops: add s390x & ppc64le CI ( #15925 )
2025-09-27 02:03:33 +08:00
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