Piotr Wilkin (ilintar) bea04522ff refactor : llama-model.cpp (#16252) ...

* Sqashed: llama-model.cpp refactoring

* Fix formatting of attn / ffn / ffn_moe calls

* Fix import regression / unify spacing in models.h

* totally DID NOT miss those!

* Add missing qwen3vl(moe) models

* Add missing new .cpp files to build

* Remove extra semicolons

* Editor checker

* Update src/models/models.h

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

---------

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

2025-10-31 23:40:23 +01:00

..

models

refactor : llama-model.cpp (#16252)

2025-10-31 23:40:23 +01:00

CMakeLists.txt

refactor : llama-model.cpp (#16252)

2025-10-31 23:40:23 +01:00

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

model : Minimax M2 (#16831)

2025-10-31 21:20:47 +01:00

llama-arch.h

model : Minimax M2 (#16831)

2025-10-31 21:20:47 +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 BailingMoeV2 support (#16063)

2025-10-20 21:38:20 +02:00

llama-chat.h

model : add BailingMoeV2 support (#16063)

2025-10-20 21:38:20 +02:00

llama-context.cpp

llama : disable pipeline parallelism if compute buffer allocation fails (#16748)

2025-10-27 21:51:28 +01:00

llama-context.h

llama: print memory breakdown on exit (#15860)

2025-09-24 16:53:48 +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

llama : bump max seq limit from 64 to 256 (#15916)

2025-09-18 12:47:56 +03:00

llama-grammar.cpp

server: streaming of tool calls and thoughts when --jinja is on (#12379)

2025-05-25 01:48:08 +01:00

llama-grammar.h

tool-call: fix Qwen 2.5 Coder support, add micro benchmarks, support trigger patterns for lazy grammars (#12034)

2025-03-05 13:05:13 +00:00

llama-graph.cpp

llama : use std::abs instead of abs (#16853)

2025-10-30 08:30:58 +02:00

llama-graph.h

graph : support cacheless embeddings with FA and iSWA (#16528)

2025-10-13 22:42:37 +03:00

llama-hparams.cpp

model: add support for qwen3vl series (#16780)

2025-10-30 16:19:14 +01:00

llama-hparams.h

model: add support for qwen3vl series (#16780)

2025-10-30 16:19:14 +01:00

llama-impl.cpp

GGUF: C++ refactor, backend support, misc fixes (#11030)

2025-01-07 18:01:58 +01:00

llama-impl.h

llama: use FA + max. GPU layers by default (#15434)

2025-08-30 16:32:10 +02:00

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

server : context checkpointing for hybrid and recurrent models (#16382)

2025-10-03 21:34:51 +03:00

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

llama: consistent ctx <-> buf order for KV cache (#16746)

2025-10-28 11:23:54 +01:00

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 : allow using mmap without PrefetchVirtualMemory, apply GGML_WIN_VER to llama.cpp sources (#14013)

2025-06-05 11:57:42 +02:00

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

refactor : llama-model.cpp (#16252)

2025-10-31 23:40:23 +01:00

llama-model.h

model : Minimax M2 (#16831)

2025-10-31 21:20:47 +01:00

llama-quant.cpp

llama : use std::abs instead of abs (#16853)

2025-10-30 08:30:58 +02:00

llama-quant.h

llama : refactor src/llama.cpp (#10902)

2025-01-03 10:18:53 +02:00

llama-sampling.cpp

vocab : mark EOT token for Granite models (#16499)

2025-10-10 17:17:31 +03:00

llama-sampling.h

llama : add llama_vocab, functions -> methods, naming (#11110)

2025-01-12 11:32:42 +02:00

llama-vocab.cpp

model : Minimax M2 (#16831)

2025-10-31 21:20:47 +01:00

llama-vocab.h

model : Minimax M2 (#16831)

2025-10-31 21:20:47 +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

model : add Kimi-K2 support (#14654)

2025-07-15 21:54:22 +02:00

unicode.h

devops: add s390x & ppc64le CI (#15925)

2025-09-27 02:03:33 +08:00