Daniel Bevenius 86587da03b llama : check returned fn ptrs from ggml_backend_reg_get_proc_address (#15893) ...

This commit adds check for two function pointers returned from
ggml_backend_reg_get_proc_address.

The motivation for this is that the function pointer could be nullptr if
the get proc address function changes in the future. This is also
consistent with all the other calls to ggml_backend_reg_get_proc_address
in the code base.

2025-09-10 05:33:58 +02:00

..

CMakeLists.txt

kv-cache : drop the "unified" prefix (#15467)

2025-08-21 17:00:33 +03:00

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

aLoRA Support (#15327)

2025-09-05 17:32:39 -06:00

llama-arch.h

aLoRA Support (#15327)

2025-09-05 17:32:39 -06:00

llama-batch.cpp

perplexity : provide a helpful hint for has_cpl case in split_equal error. (#15304)

2025-08-14 14:03:30 +03:00

llama-batch.h

llama : reuse compute graphs (#14482)

2025-07-17 19:08:33 +03:00

llama-chat.cpp

model : add support for Seed-OSS (#15490)

2025-08-23 15:21:52 +02:00

llama-chat.h

model : add support for Seed-OSS (#15490)

2025-08-23 15:21:52 +02:00

llama-context.cpp

llama : check returned fn ptrs from ggml_backend_reg_get_proc_address (#15893)

2025-09-10 05:33:58 +02:00

llama-context.h

llama : separate compute buffer reserve from fattn check (#15696)

2025-08-31 15:49:03 +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 : remove KV cache defragmentation logic (#15473)

2025-08-22 12:22:13 +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

context : fix n_outputs during reserve (#15858)

2025-09-08 10:26:36 +03:00

llama-graph.h

llama : add support for EmbeddingGemma 300m (#15798)

2025-09-04 18:10:29 +02:00

llama-hparams.cpp

kv-cache : fix SWA checks + disable cacheless iSWA (#15811)

2025-09-05 10:39:22 +03:00

llama-hparams.h

kv-cache : fix SWA checks + disable cacheless iSWA (#15811)

2025-09-05 10:39:22 +03:00

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

kv-cache : fix SWA checks + disable cacheless iSWA (#15811)

2025-09-05 10:39:22 +03:00

llama-kv-cache-iswa.h

kv-cache : support layer reuse (#15504)

2025-08-24 13:07:07 +03:00

llama-kv-cache.cpp

model : avoid ggml_cont_3d for fused QKV weights (#15662)

2025-09-08 10:25:33 +03:00

llama-kv-cache.h

model : avoid ggml_cont_3d for fused QKV weights (#15662)

2025-09-08 10:25:33 +03:00

llama-kv-cells.h

llama : remove KV cache defragmentation logic (#15473)

2025-08-22 12:22:13 +03:00

llama-memory-hybrid.cpp

kv-cache : fix SWA checks + disable cacheless iSWA (#15811)

2025-09-05 10:39:22 +03:00

llama-memory-hybrid.h

kv-cache : fix SWA checks + disable cacheless iSWA (#15811)

2025-09-05 10:39:22 +03:00

llama-memory-recurrent.cpp

kv-cache : support layer reuse (#15504)

2025-08-24 13:07:07 +03:00

llama-memory-recurrent.h

kv-cache : support layer reuse (#15504)

2025-08-24 13:07:07 +03:00

llama-memory.cpp

memory : correctly handle failure in apply() (#14438)

2025-06-30 18:03:03 +03:00

llama-memory.h

kv-cache : support layer reuse (#15504)

2025-08-24 13:07:07 +03:00

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

nvidia nemotron nano v2 (nemotronh) (#15507)

2025-08-28 18:39:31 -06:00

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 : avoid ggml_cont_3d for fused QKV weights (#15662)

2025-09-08 10:25:33 +03:00

llama-model.h

llama : fix incorrect model type for Gemma 270M (#15764)

2025-09-03 13:35:49 +02:00

llama-quant.cpp

convert : support non-mxfp4 HF model (#15153)

2025-08-07 23:26:03 +02:00

llama-quant.h

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

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

llama-sampling.cpp

sampling : optimize dist sampler (#15704)

2025-09-03 18:16:26 +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 : jina-embeddings-v3 support (#13693)

2025-08-28 15:49:50 +02:00

llama-vocab.h

model : add hunyuan dense (#14878)

2025-08-01 15:31:12 +02:00

llama.cpp

llama : check returned fn ptrs from ggml_backend_reg_get_proc_address (#15893)

2025-09-10 05:33:58 +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

model : add Kimi-K2 support (#14654)

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