mikhail/llama.cpp-mtp-turboquant
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llama.cpp-mtp-turboquant/src
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Haiyue Wang f4e664f838 context : remove redundant explicit casting to the same type (#15948) 
The function 'output_reserve' return type is 'uint32_t', so need to add
explicit casting.
2025-09-12 18:16:32 +03:00
..
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
llama : support T5 models with unequal number of encoder-decoder layers (#15909)
2025-09-10 20:51:51 +02:00
llama-arch.h
llama : support T5 models with unequal number of encoder-decoder layers (#15909)
2025-09-10 20:51:51 +02:00
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
context : remove redundant explicit casting to the same type (#15948)
2025-09-12 18:16:32 +03:00
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
graph : support non-contiguous Q in build_attn_mha (#15908)
2025-09-10 19:08:59 +02:00
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
llama : support T5 models with unequal number of encoder-decoder layers (#15909)
2025-09-10 20:51:51 +02:00
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
llama : support T5 models with unequal number of encoder-decoder layers (#15909)
2025-09-10 20:51:51 +02:00
llama-model.h
llama : fix incorrect model type for Gemma 270M (#15764)
2025-09-03 13:35:49 +02:00
llama-quant.cpp
nitpick : correct MB to MiB (#15934)
2025-09-11 19:12:34 +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
ggml-backend : add GGML_BACKEND_DEVICE_TYPE_IGPU device type (#15797)
2025-09-11 22:47:38 +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