compilade a20b2b05bc context : round n_tokens to next multiple of n_seqs when reserving (#14140) ...

This fixes RWKV inference which otherwise failed
when the worst case ubatch.n_seq_tokens rounded to 0.

2025-06-12 02:56:04 -04:00

..

CMakeLists.txt

memory : migrate from llama_kv_cache to more generic llama_memory (#14006)

2025-06-05 15:29:22 +03:00

llama-adapter.cpp

llama : do not crash if there is no CPU backend (#13395)

2025-05-09 13:02:07 +02:00

llama-adapter.h

llama : refactor llama_context, llama_kv_cache, llm_build_context (#12181)

2025-03-13 12:35:44 +02:00

llama-arch.cpp

llama : fix llama_model_chat_template with template name (LLM_KV with suffix) (#14050)

2025-06-07 14:13:12 +02:00

llama-arch.h

llama : fix llama_model_chat_template with template name (LLM_KV with suffix) (#14050)

2025-06-07 14:13:12 +02:00

llama-batch.cpp

kv-cache : refactor + add llama_memory_state_i (#13746)

2025-05-31 10:24:04 +03:00

llama-batch.h

kv-cache : refactor + add llama_memory_state_i (#13746)

2025-05-31 10:24:04 +03:00

llama-chat.cpp

llama : one-off chat template fix for Mistral-Small-2503 (#13398)

2025-05-09 11:17:51 +02:00

llama-chat.h

llama : one-off chat template fix for Mistral-Small-2503 (#13398)

2025-05-09 11:17:51 +02:00

llama-context.cpp

context : round n_tokens to next multiple of n_seqs when reserving (#14140)

2025-06-12 02:56:04 -04:00

llama-context.h

memory : migrate from llama_kv_cache to more generic llama_memory (#14006)

2025-06-05 15:29:22 +03:00

llama-cparams.cpp

kv-cache : rework kv_cell (#13706)

2025-05-25 16:34:36 +03:00

llama-cparams.h

kv-cache : rework kv_cell (#13706)

2025-05-25 16:34:36 +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

kv-cache : avoid modifying recurrent cells when setting inputs (#13834)

2025-06-10 18:20:14 -04:00

llama-graph.h

kv-cache : avoid modifying recurrent cells when setting inputs (#13834)

2025-06-10 18:20:14 -04:00

llama-hparams.cpp

hparams : initialize arrays (#13728)

2025-05-23 20:16:13 +03:00

llama-hparams.h

llama : add RobertaForSequenceClassification reranker support (#13875)

2025-05-29 08:15:01 +02:00

llama-impl.cpp

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

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

llama-impl.h

cleanup: fix compile warnings associated with gnu_printf (#11811)

2025-02-12 10:06:53 -04:00

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-recurrent.cpp

kv-cache : avoid modifying recurrent cells when setting inputs (#13834)

2025-06-10 18:20:14 -04:00

llama-kv-cache-recurrent.h

kv-cache : avoid modifying recurrent cells when setting inputs (#13834)

2025-06-10 18:20:14 -04:00

llama-kv-cache-unified-iswa.cpp

llama : deprecate llama_kv_self_ API (#14030)

2025-06-06 14:11:15 +03:00

llama-kv-cache-unified-iswa.h

llama : deprecate llama_kv_self_ API (#14030)

2025-06-06 14:11:15 +03:00

llama-kv-cache-unified.cpp

kv-cache : relax SWA masking condition (#14119)

2025-06-11 16:48:45 +03:00

llama-kv-cache-unified.h

kv-cache : add LLAMA_KV_CACHE_DEBUG environment variable (#14121)

2025-06-11 12:52:45 +03:00

llama-kv-cells.h

kv-cache : fix shift and defrag logic (#14081)

2025-06-09 23:04:35 +03:00

llama-memory.cpp

kv-cache : refactor the update/defrag mechanism (#13988)

2025-06-04 18:58:20 +03:00

llama-memory.h

llama : deprecate llama_kv_self_ API (#14030)

2025-06-06 14:11:15 +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

llama : support multiple classifier outputs and labels (#13940)

2025-06-06 09:03:25 +02:00

llama-model-loader.h

llama : add option to override model tensor buffers (#11397)

2025-04-02 14:52:01 +02:00

llama-model-saver.cpp

llama/ggml: add LLM training support (#10544)

2025-05-12 14:44:49 +02:00

llama-model-saver.h

llama/ggml: add LLM training support (#10544)

2025-05-12 14:44:49 +02:00

llama-model.cpp

kv-cache : avoid modifying recurrent cells when setting inputs (#13834)

2025-06-10 18:20:14 -04:00

llama-model.h

llama : support multiple classifier outputs and labels (#13940)

2025-06-06 09:03:25 +02:00

llama-quant.cpp

quantize : improve tensor-type pattern matching (#13033)

2025-05-13 19:12:31 +02:00

llama-quant.h

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

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

llama-sampling.cpp

sampling : make sure samplers return at least 1 token (#13822)

2025-05-27 12:07:52 +03:00

llama-sampling.h

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

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

llama-vocab.cpp

vocab : warn about missing mask token (#14022)

2025-06-05 09:29:18 +02:00

llama-vocab.h

llama/ggml: add LLM training support (#10544)

2025-05-12 14:44:49 +02:00

llama.cpp

llama : print hint when loading a model when no backends are loaded (#13589)

2025-05-16 16:38:07 +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

repo : update links to new url (#11886)

2025-02-15 16:40:57 +02:00

unicode.h

unicode : improve naming style (#10838)

2024-12-16 12:31:45 +02:00