Johannes Gäßler 026d2ad472 llama: fix magic number of 999 for GPU layers (#18266) ...

* llama: fix magic number of 999 for GPU layers

* use strings for -ngl, -ngld

* enacapsulate n_gpu_layers, split_mode

2025-12-27 20:18:35 +01:00

..

models

model: support MiMo-V2-Flash (#18328)

2025-12-24 23:07:08 +01:00

CMakeLists.txt

model: support MiMo-V2-Flash (#18328)

2025-12-24 23:07:08 +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: support MiMo-V2-Flash (#18328)

2025-12-24 23:07:08 +01:00

llama-arch.h

model: support MiMo-V2-Flash (#18328)

2025-12-24 23:07:08 +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 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

llama: fix magic number of 999 for GPU layers (#18266)

2025-12-27 20:18:35 +01:00

llama-context.h

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-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 : reuse SSM graphs (#16490)

2025-12-16 09:36:21 +02:00

llama-graph.h

graph : reuse SSM graphs (#16490)

2025-12-16 09:36:21 +02:00

llama-hparams.cpp

model: support GLM4V vision encoder (#18042)

2025-12-16 11:25:26 +01:00

llama-hparams.h

model: support MiMo-V2-Flash (#18328)

2025-12-24 23:07:08 +01:00

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

kv-cache: Fix state restore fragmented cache (#17982)

2025-12-15 19:28:35 +02:00

llama-kv-cache.h

kv-cache: Fix state restore fragmented cache (#17982)

2025-12-15 19:28:35 +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

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 : Async DirectIO model loading on Linux (#18012)

2025-12-18 08:27:19 +02:00

llama-mmap.h

llama : Async DirectIO model loading on Linux (#18012)

2025-12-18 08:27:19 +02:00

llama-model-loader.cpp

model : Granite Embedding support (#15641)

2025-12-23 00:28:19 +01:00

llama-model-loader.h

model : Granite Embedding support (#15641)

2025-12-23 00:28:19 +01:00

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

llama: fix magic number of 999 for GPU layers (#18266)

2025-12-27 20:18:35 +01:00

llama-model.h

llama: fix magic number of 999 for GPU layers (#18266)

2025-12-27 20:18:35 +01:00

llama-quant.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-quant.h

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

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

llama-sampling.cpp

common : restore grammar-based rejection sampling (#18137)

2025-12-17 19:46:00 +02:00

llama-sampling.h

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

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

llama-vocab.cpp

model : Granite Embedding support (#15641)

2025-12-23 00:28:19 +01:00

llama-vocab.h

model : add AfmoeForCausalLM support (#16477)

2025-11-14 13:54:10 +01:00

llama.cpp

llama_fit_params: return enum for fail vs. error (#18374)

2025-12-27 09:59:19 +01:00

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