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llama.cpp
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Oliver Simons 0a17687c72 Make backend dist sampler use same rnd's as dist sampler 
We sample in double precision and cast to float to match rnd numbers of
llama_dampler_dist which uses double precision (sampling from
std::uniform_real_distribution<double> and
std::uniform_real_distribution<float> with same rng will produce
different sequences).
 		2025-12-19 11:43:19 +01:00
..
models Optimization: Qwen3 next autoregressive pass (#17996) 2025-12-16 11:59:53 +01:00
CMakeLists.txt cmake: fix Mach-O current version number (#17877) 2025-12-09 13:17:41 +02:00
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: fix LFM2_MOE missing tensors (#18132) 2025-12-17 12:17:11 +01:00
llama-arch.h arch: refactor LLM_TENSOR_NAMES (#18051) 2025-12-16 13:22:30 +01:00
llama-batch.cpp Merge branch 'master' into HEAD 2025-12-11 14:42:56 +02:00
llama-batch.h Merge branch 'master' into HEAD 2025-12-11 14:42:56 +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 common : disable backend sampling when grammar is involved 2025-12-18 10:52:21 +02:00
llama-context.h Merge remote-tracking branch 'upstream/master' into backend-sampling 2025-12-16 09:45:08 +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 llama : fix typo in comment [no ci] 2025-12-17 09:02:30 +01:00
llama-graph.h Merge remote-tracking branch 'upstream/master' into backend-sampling 2025-12-16 09:45:08 +01:00
llama-hparams.cpp model: support GLM4V vision encoder (#18042) 2025-12-16 11:25:26 +01:00
llama-hparams.h model: support GLM4V vision encoder (#18042) 2025-12-16 11:25:26 +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 llama : Async DirectIO model loading on Linux (#18012) 2025-12-18 08:27:19 +02:00
llama-model-loader.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-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 Merge branch 'master' into HEAD 2025-12-18 10:12:47 +02:00
llama-model.h llama : add support for NVIDIA Nemotron 3 Nano (#18058) 2025-12-16 07:19:26 +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 Make backend dist sampler use same rnd's as dist sampler 2025-12-19 11:43:19 +01:00
llama-sampling.h sampling : check backend support during init 2025-12-04 17:29:08 +02:00
llama-vocab.cpp model : add KORMo model (#18032) 2025-12-15 18:51:43 +01:00
llama-vocab.h model : add AfmoeForCausalLM support (#16477) 2025-11-14 13:54:10 +01:00
llama.cpp Merge branch 'master' into HEAD 2025-12-18 10:12:47 +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 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