..
models
model : support Rnj-1 ( #17811 )
2025-12-09 04:49:03 +01:00
CMakeLists.txt
cmake: fix Mach-O current version number ( #17877 )
2025-12-09 13:17:41 +02:00
llama-adapter.cpp
aLoRA Support ( #15327 )
2025-09-05 17:32:39 -06:00
llama-adapter.h
aLoRA Support ( #15327 )
2025-09-05 17:32:39 -06:00
llama-arch.cpp
Override SSM_A op for Qwen3 Next to reduce splits ( #17587 )
2025-12-02 00:43:13 +01:00
llama-arch.h
Override SSM_A op for Qwen3 Next to reduce splits ( #17587 )
2025-12-02 00:43:13 +01:00
llama-batch.cpp
batch : fix consistency checks for the input positions ( #16890 )
2025-10-31 13:50:33 +02:00
llama-batch.h
llama: store mrope data in KV cell ( #16825 )
2025-10-29 18:09:18 +01:00
llama-chat.cpp
model : add openPangu-Embedded ( #16941 )
2025-11-05 10:28:58 +01:00
llama-chat.h
model : add openPangu-Embedded ( #16941 )
2025-11-05 10:28:58 +01:00
llama-context.cpp
Make graph_max_nodes vary by ubatch size ( #17794 )
2025-12-08 14:32:41 +01:00
llama-context.h
Make graph_max_nodes vary by ubatch size ( #17794 )
2025-12-08 14:32:41 +01:00
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
server : support unified cache across slots ( #16736 )
2025-11-02 18:14:04 +02:00
llama-grammar.cpp
llama : add token matching support to llama-grammar ( #17816 )
2025-12-09 00:32:57 -06:00
llama-grammar.h
llama : add token matching support to llama-grammar ( #17816 )
2025-12-09 00:32:57 -06:00
llama-graph.cpp
graph : use fill instead of scale_bias in grouped expert selection ( #17867 )
2025-12-08 21:29:59 +01:00
llama-graph.h
graph : support cacheless embeddings with FA and iSWA ( #16528 )
2025-10-13 22:42:37 +03:00
llama-hparams.cpp
hparams : add n_embd_inp() to support extended embed ( #16928 )
2025-11-07 19:27:58 +01:00
llama-hparams.h
model: support Ministral3 ( #17644 )
2025-12-01 12:26:52 +01:00
llama-impl.cpp
common : more accurate sampling timing ( #17382 )
2025-11-20 13:40:10 +02:00
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
model: add support for qwen3vl series ( #16780 )
2025-10-30 16:19:14 +01:00
llama-kv-cache.h
memory : remove KV cache size padding ( #16812 )
2025-10-28 20:19:44 +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.cpp
memory : use sequential equal splits for recurrent modules ( #16442 )
2025-10-07 08:24:17 +03:00
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 : fix signed comparison warning on FreeBSD ( #17497 )
2025-12-02 12:05:38 +01:00
llama-mmap.h
llama-mmap: fix missing include ( #11796 )
2025-02-10 20:58:18 +02:00
llama-model-loader.cpp
model : Apertus model implementation ( #15852 )
2025-10-02 20:43:22 +03:00
llama-model-loader.h
model: support GLM 4.5 family of models ( #14939 )
2025-08-04 20:29:25 +02:00
llama-model-saver.cpp
llama : improve sep token handling ( #14272 )
2025-06-20 14:04:09 +02:00
llama-model-saver.h
llama/ggml: add LLM training support ( #10544 )
2025-05-12 14:44:49 +02:00
llama-model.cpp
model : nit, DeepSeek V1 MoE is 16B and GigaChat is 20B ( #12652 )
2025-12-09 12:15:06 +01:00
llama-model.h
model : Qwen3 Next ( #16095 )
2025-11-28 12:02:56 +01:00
llama-quant.cpp
llama : remove quantization sanity check ( #17788 )
2025-12-06 12:26:20 +01:00
llama-quant.h
llama : refactor `src/llama.cpp` ( #10902 )
2025-01-03 10:18:53 +02:00
llama-sampling.cpp
common : more accurate sampling timing ( #17382 )
2025-11-20 13:40:10 +02:00
llama-sampling.h
llama : add `llama_vocab`, functions -> methods, naming ( #11110 )
2025-01-12 11:32:42 +02:00
llama-vocab.cpp
ggml, llama : use defaulted constructors/destructors ( #17649 )
2025-12-03 07:12:18 +01:00
llama-vocab.h
model : add AfmoeForCausalLM support ( #16477 )
2025-11-14 13:54:10 +01:00
llama.cpp
llama-quant: add support for mmproj ( #16592 )
2025-10-15 14:48:08 +02:00
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
fix: prevent segfault in tokenizer on highly repetitive input ( #17786 )
2025-12-05 13:52:23 +02:00
unicode.h
devops: add s390x & ppc64le CI ( #15925 )
2025-09-27 02:03:33 +08:00