nikola/llama_cpp
1
0
Fork 0
Code Issues Pull Requests Actions 24 Packages Projects Releases Wiki Activity
4,265 Commits 1 Branch 0 Tags
59f4db10883a4f3e855cffbf2c3ab68430e95272
Commit Graph
100 Commits
This Branch
This Branch
All Branches
Author SHA1 Message Date
Diego DevesaandGitHub 59f4db1088 ggml : add predefined list of CPU backend variants to build (#10626) 
* ggml : add predefined list of CPU backend variants to build

* update CPU dockerfiles
 2024-12-04 14:45:40 +01:00
Diego DevesaandGitHub 2803540814 ggml-cpu : fix HWCAP2_I8MM value (#10646) 2024-12-04 14:40:44 +01:00
Diego DevesaandGitHub 3420909dff ggml : automatic selection of best CPU backend (#10606) 
* ggml : automatic selection of best CPU backend

* amx : minor opt

* add GGML_AVX_VNNI to enable avx-vnni, fix checks
 2024-12-01 16:12:41 +01:00
Diego DevesaGitHubGeorgi Gerganov
 		7cc2d2c889 ggml : move AMX to the CPU backend (#10570) 
* ggml : move AMX to the CPU backend

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-11-29 21:54:58 +01:00
Diego DevesaandGitHub a3a3048e7a cleanup UI link list (#10577) 
* cleanup UI link list

* sort list alphabetically

* add missing licenses
 2024-11-29 17:45:08 +01:00
Diego DevesaandGitHub e90688edd0 ci : fix tag name in cuda and hip releases (#10566) 2024-11-28 15:58:54 +01:00
Diego DevesaandGitHub 46c69e0e75 ci : faster CUDA toolkit installation method and use ccache (#10537) 
* ci : faster CUDA toolkit installation method and use ccache

* remove fetch-depth

* only pack CUDA runtime on master
 2024-11-27 11:03:25 +01:00
Diego DevesaandGitHub c9b00a70b0 ci : fix cuda releases (#10532) 2024-11-26 22:12:10 +01:00
Diego DevesaandGitHub 5a349f2809 ci : remove nix workflows (#10526) 2024-11-26 21:13:54 +01:00
Diego DevesaandGitHub 30ec398321 llama : disable warnings for 3rd party sha1 dependency (#10527) 2024-11-26 21:01:47 +01:00
Diego DevesaandGitHub 7db3846a94 ci : publish the docker images created during scheduled runs (#10515) 2024-11-26 13:05:20 +01:00
Diego DevesaandGitHub c6807b3f28 ci : add ubuntu cuda build, build with one arch on windows (#10456) 2024-11-26 13:05:07 +01:00
Diego DevesaandGitHub 50d5cecbda ci : build docker images only once daily (#10503) 2024-11-25 22:05:39 +01:00
Diego DevesaandGitHub 10bce0450f llama : accept a list of devices to use to offload a model (#10497) 
* llama : accept a list of devices to use to offload a model

* accept `--dev none` to completely disable offloading

* fix dev list with dl backends

* rename env parameter to LLAMA_ARG_DEVICE for consistency
 2024-11-25 19:30:06 +01:00
Diego DevesaGitHubGeorgi Gerganov
 		5931c1f233 ggml : add support for dynamic loading of backends (#10469) 
* ggml : add support for dynamic loading of backends

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-11-25 15:13:39 +01:00
Diego DevesaandGitHub dc39012cba llama : fix op mul check with command-r-plus (#10476) 2024-11-24 16:10:26 +01:00
Diego DevesaandGitHub 55ed008b2d ggml : do not use ARM features not included in the build (#10457) 2024-11-23 14:41:12 +01:00
Diego DevesaGitHubJohannes Gäßler
 		a5e47592b6 cuda : optimize argmax (#10441) 
* cuda : optimize argmax

* remove unused parameter

ggml-ci

* fixup : use full warps

ggml-ci

* Apply suggestions from code review

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

* fix ub

* ggml : check ne00 <= INT32_MAX in argmax and argsort

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
 2024-11-21 18:18:50 +01:00
slarenandGeorgi Gerganov 59b9172822 ggml/sched : do not skip views in pre-assignments 2024-11-21 09:22:05 +02:00
Diego DevesaandGitHub fab5d30ff6 llama : add .clang-format file (#10415) 2024-11-20 12:57:53 +01:00
Diego DevesaandGitHub 3ee6382d48 cuda : fix CUDA_FLAGS not being applied (#10403) 2024-11-19 14:29:38 +01:00
Diego DevesaandGitHub d3481e6316 cuda : only use native when supported by cmake (#10389) 2024-11-18 18:43:40 +01:00
Diego DevesaandGitHub be5caccef9 llama : only use default buffer types for the KV cache (#10358) 2024-11-17 12:25:45 +01:00
Diego DevesaandGitHub eda7e1d4f5 ggml : fix possible buffer use after free in sched reserve (#9930) 2024-11-17 08:31:17 +02:00
slarenandGeorgi Gerganov 883d206fbd ggml : fix some build issues 2024-11-15 21:45:32 +02:00
Diego DevesaGitHubGeorgi GerganovR0CKSTAR
 		ae8de6d50a ggml : build backends as libraries (#10256) 
* ggml : build backends as libraries

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: R0CKSTAR <xiaodong.ye@mthreads.com>
 2024-11-14 18:04:35 +01:00
Diego DevesaandGitHub 97404c4a03 ggml : add ggml-cpu.h to the public headers (#10204) 2024-11-07 18:16:08 +01:00
Diego DevesaandGitHub 94d8cb8be1 metal : fix from ptr buffer name (#10189) 2024-11-06 12:10:07 +01:00
Diego DevesaandGitHub a9e8a9a030 ggml : fix arch check in bf16_to_fp32 (#10164) 2024-11-04 23:17:01 +01:00
Diego DevesaandGitHub d5a409e57f ggml : fix gelu tables initialization (#10172) 2024-11-04 20:06:58 +01:00
Diego DevesaandGitHub 401558b7ba ggml : fix q4xx mat mul, increase ggml_aligned_malloc alignment (#10167) 2024-11-04 17:34:08 +01:00
Diego DevesaandGitHub ea02c753eb cuda : clear error after changing peer access (#10153) 2024-11-04 13:10:23 +01:00
Diego DevesaandGitHub 9f40989351 ggml : move CPU backend to a separate file (#10144) 2024-11-03 19:34:08 +01:00
Diego DevesaandGitHub b634f8a26f simple-chat : only add bos on first prompt (#10129) 2024-11-02 13:08:53 +01:00
Diego DevesaGitHubXuan Son Nguyen
 		a6744e43e8 llama : add simple-chat example (#10124) 
* llama : add simple-chat example

---------

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
 2024-11-01 23:50:59 +01:00
Diego DevesaandGitHub e991e3127f llama : use smart pointers for ggml resources (#10117) 2024-11-01 23:48:26 +01:00
Diego DevesaandGitHub 85679d37f3 llama : improve output buffer type selection (#10098) 2024-11-01 00:49:53 +01:00
Diego DevesaandGitHub 1e9f94994e quantize : fix --keep-split (#10114) 2024-11-01 00:45:34 +01:00
Diego DevesaandGitHub c02e5ab2a6 llama : fix buffer checks for mamba and rwk (#10111) 
* llama : fix buffer checks for mamba and rwk

* llama : fix missing worst case flag during reserve

* cuda : fix supports_op for norm

* disable sched SET_CAUSE
 2024-10-31 22:54:23 +01:00
Diego DevesaandGitHub dea5e86051 ggml : check tensor name lengths in gguf files (#10100) 2024-10-31 11:40:59 +01:00
Diego DevesaandGitHub b9e02e8184 ggml : fix memory leaks when loading invalid gguf files (#10094) 
* ggml : fix gguf string leak when reading kv pairs fails

* ggml : avoid crashing with GGML_ABORT when the KV has an invalid type

* ggml : avoid crashing on failed memory allocations when loading a gguf file
 2024-10-30 14:51:21 +01:00
Diego DevesaandGitHub c5b0f4b5d9 llama : refactor model loader with backend registry (#10026) 2024-10-30 02:01:23 +01:00
Diego DevesaandGitHub f010b77a37 vulkan : add backend registry / device interfaces (#9721) 
* vulkan : add backend registry / device interfaces

* llama : print devices used on model load
 2024-10-17 02:46:58 +02:00
Diego DevesaandGitHub 96776405a1 ggml : move more prints to the ggml log system (#9839) 
* ggml : move more prints to the ggml log system

* show BLAS OpenMP warnings in all builds using debug print
 2024-10-11 15:34:45 +02:00
Diego DevesaGitHubGeorgi Gerganov
 		7eee341bee common : use common_ prefix for common library functions (#9805) 
* common : use common_ prefix for common library functions

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-10-10 22:57:42 +02:00
Diego DevesaandGitHub 0e9f760eb1 rpc : add backend registry / device interfaces (#9812) 
* rpc : add backend registry / device interfaces

* llama : add llama_supports_rpc API

* ggml_backend_rpc_start_rpc_server -> ggml_backend_rpc_start_server
 2024-10-10 20:14:55 +02:00
Diego DevesaandGitHub c7499c557c examples : do not use common library in simple example (#9803) 
* examples : do not use common library in simple example

* add command line parser, simplify code
 2024-10-10 19:50:49 +02:00
Diego DevesaandGitHub c81f3bbb05 cmake : do not build common library by default when standalone (#9804) 2024-10-09 18:49:52 +02:00
Diego DevesaandGitHub dca1d4b58a ggml : fix BLAS with unsupported types (#9775) 
* ggml : do not use BLAS with types without to_float

* ggml : return pointer from ggml_internal_get_type_traits to avoid unnecessary copies

* ggml : rename ggml_internal_get_type_traits -> ggml_get_type_traits

it's not really internal if everybody uses it
 2024-10-08 14:21:43 +02:00
Diego DevesaandGitHub 6374743747 ggml : add backend registry / device interfaces to BLAS backend (#9752) 
* ggml : add backend registry / device interfaces to BLAS backend

* fix mmap usage when using host buffers
 2024-10-07 21:55:08 +02:00
Diego DevesaandGeorgi Gerganov ff565769f2 ggml : fixes after sync (ggml/983) 
ggml : remove test-backend-buffer

ggml : fix CUDA build warnings
 2024-10-04 18:50:04 +03:00
Diego DevesaandGitHub a7ad553513 ggml-backend : add device description to CPU backend (#9720) 2024-10-03 17:39:18 +02:00
Diego DevesaGitHubJohannes Gäßler
 		c83ad6d01e ggml-backend : add device and backend reg interfaces (#9707) 
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
 2024-10-03 01:49:47 +02:00
slarenandGitHub 1b2f992cd2 test-backend-ops : use flops for some performance tests (#9657) 
* test-backend-ops : use flops for some performance tests

- parallelize tensor quantization

- use a different set of cases for performance and correctness tests

- run each test for at least one second
 2024-09-28 14:32:46 +02:00
slarenandGitHub d09770cae7 ggml-alloc : fix list of allocated tensors with GGML_ALLOCATOR_DEBUG (#9573) 2024-09-21 14:24:23 +02:00
slarenandGitHub 63351143b2 quantize : improve type name parsing (#9570) 
quantize : do not ignore invalid types in arg parsing

quantize : ignore case of type and ftype arguments
 2024-09-20 20:55:36 +02:00
slarenGitHubMax Krasnyansky
 		64c6af3195 ggml : fix n_threads_cur initialization with one thread (#9538) 
* ggml : fix n_threads_cur initialization with one thread

* Update ggml/src/ggml.c

---------

Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>
 2024-09-18 10:13:08 -07:00
slarenandGitHub 23e0d70bac ggml : move common CPU backend impl to new header (#9509) 2024-09-16 16:22:07 +02:00
slarenandGitHub e6deac31f7 gguf-split : add basic checks (#9499) 
* gguf-split : do not overwrite existing files when merging

* gguf-split : error when too many arguments are passed
 2024-09-15 19:02:27 +02:00
slarenandGitHub 1b28061400 llama : skip token bounds check when evaluating embeddings (#9437) 2024-09-11 17:52:13 +02:00
slarenandGitHub 49006c67b4 llama : move random seed generation to the samplers (#9398) 
* llama_sampler_penalties : clamp penalty_last_n to zero
 2024-09-10 18:04:25 +02:00
slarenandGitHub fb3f249815 make : do not run llama-gen-docs when building (#9399) 2024-09-10 09:23:33 +03:00
slarenandGitHub 5fb5e24811 llama : minor sampling refactor (2) (#9386) 2024-09-09 17:10:46 +02:00
slarenandGitHub a249843d89 common : restore --n-gpu-layers (#9371) 2024-09-08 16:44:42 +02:00
slarenandGitHub 19f4a7b296 llama : refactor samplers internal implementation (#9370) 2024-09-08 15:52:07 +02:00
slarenandGitHub eae597182c llama : sanitize tokens in the upper bound (#9359) 2024-09-08 12:41:51 +02:00
slarenandGitHub e32d0816ed ggml : always check bounds on get_rows operations (#9354) 2024-09-07 20:23:07 +02:00
slarenandGitHub 6c89eb0b47 ci : disable rocm image creation (#9340) 2024-09-07 10:48:54 +03:00
slarenandGitHub 4db04784f9 cuda : fix defrag with quantized KV (#9319) 2024-09-05 11:13:11 +02:00
slarenandGitHub bdf314f38a llama-bench : fix NUL terminators in CPU name (#9313) 2024-09-05 02:19:39 +02:00
slarenandGitHub 048de848ee docker : fix missing binaries in full-cuda image (#9278) 2024-09-02 18:11:13 +02:00
slarenandGitHub 9fe94ccac9 docker : build images only once (#9225) 2024-08-28 17:28:00 +02:00
slarenandGitHub 66b039a501 docker : update CUDA images (#9213) 2024-08-28 13:20:36 +02:00
slarenandGitHub 7d787ed96c ggml : do not crash when quantizing q4_x_x with an imatrix (#9192) 2024-08-26 19:44:43 +02:00
slarenandGitHub 0c41e03ceb metal : gemma2 flash attention support (#9159) 2024-08-26 11:08:59 +02:00
slarenandGitHub f12ceaca0c ggml-ci : try to improve build time (#9160) 2024-08-26 11:03:30 +02:00
slarenandGitHub 6e02327e8b metal : fix uninitialized abort_callback (#8968) 2024-08-10 15:42:10 +02:00
slarenandGitHub 15fa07a5c5 make : use C compiler to build metal embed object (#8899) 
* make : use C compiler to build metal embed object

* use rm + rmdir to avoid -r flag in rm
 2024-08-07 18:24:05 +02:00
slarenandGitHub be55695eff ggml-backend : fix async copy from CPU (#8897) 
* ggml-backend : fix async copy from CPU

* cuda : more reliable async copy, fix stream used when the devices are the same
 2024-08-07 13:29:02 +02:00
slarenandGitHub 7a11eb3a26 cuda : fix dmmv cols requirement to 2*GGML_CUDA_DMMV_X (#8800) 
* cuda : fix dmmv cols requirement to 2*GGML_CUDA_DMMV_X

* update asserts

* only use dmmv for supported types

* add test
 2024-08-01 15:26:22 +02:00
slarenandGitHub 2b1f616b20 ggml : reduce hash table reset cost (#8698) 
* ggml : reduce hash table reset cost

* fix unreachable code warnings after GGML_ASSERT(false)

* GGML_ASSERT(false) -> GGML_ABORT("fatal error")

* GGML_ABORT use format string
 2024-07-27 04:41:55 +02:00
slarenGitHubGeorgi Gerganov
 		87e397d00b ggml : fix quant dot product with odd number of blocks (#8549) 
* ggml : fix iq4_nl dot product with odd number of blocks

* ggml : fix odd blocks for ARM_NEON (#8556)

* ggml : fix iq4_nl dot product with odd number of blocks

* ggml : fix q4_1

* ggml : fix q5_0

* ggml : fix q5_1

* ggml : fix iq4_nl metal

ggml-ci

* ggml : fix q4_0

* ggml : fix q8_0

ggml-ci

* ggml : remove special Q4_0 code for first 2 blocks

* ggml : fix sumf redefinition

---------

Co-authored-by: slaren <slarengh@gmail.com>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-07-19 17:17:27 +02:00
slarenandGitHub 5f2d4e60e2 ppl : fix n_seq_max for perplexity (#8277) 
* ppl : fix n_seq_max for perplexity

* use 1 seq for kl_divergence
 2024-07-03 20:33:31 +03:00
slarenandGitHub 0e0590adab cuda : update supports_op for matrix multiplication (#8245) 2024-07-02 09:39:38 +03:00
slarenandGitHub b851b3fba0 cmake : allow user to override default options (#8178) 2024-06-28 12:37:45 +02:00
slarenandGitHub 8172ee9da9 cmake : fix deprecated option names not working (#8171) 
* cmake : fix deprecated option names not working

* remove LlAMA_OPENMP
 2024-06-27 20:04:39 +02:00
slarenandGitHub ae5d0f4b89 ci : publish new docker images only when the files change (#8142) 2024-06-26 21:59:28 +02:00
slarenandGitHub 31ec3993f6 ggml : add GGML_CUDA_USE_GRAPHS option, restore GGML_CUDA_FORCE_CUBLAS (cmake) (#8140) 2024-06-26 21:34:14 +02:00
slarenandGitHub c7ab7b612c make : fix missing -O3 (#8143) 2024-06-26 21:20:22 +03:00
slarenandGitHub dd047b476c disable docker CI on pull requests (#8110) 2024-06-25 19:20:06 +02:00
slarenandGitHub 8cb508d0d5 disable publishing the full-rocm docker image (#8083) 2024-06-24 08:36:11 +03:00
slarenandGitHub 95f57bb5d5 ggml : remove ggml_task_type and GGML_PERF (#8017) 
* ggml : remove ggml_task_type and GGML_PERF

* check abort_callback on main thread only

* vulkan : remove usage of ggml_compute_params

* remove LLAMA_PERF
 2024-06-24 03:07:59 +02:00
slarenandGitHub b6b9a8e606 fix CI failures (#8066) 
* test-backend-ops : increase cpy max nmse

* server ci : disable thread sanitizer
 2024-06-23 13:14:45 +02:00
slarenandGitHub 9c77ec1d74 ggml : synchronize threads using barriers (#7993) 2024-06-19 15:04:15 +02:00
slarenandGitHub 99052cd227 sched : offload_op also requires supports_op (#7977) 2024-06-17 16:51:42 +02:00
slarenGitHubGeorgi Gerganov
 		f578b86b21 move BLAS to a separate backend (#6210) 
* move BLAS to a separate backend

* rename GGML_USE_OPENBLAS to GGML_USE_BLAS

* alloc : reuse same buffer when the same buffer type if used multiple times

* set number of threads automatically for openblas and blis

* sched : print assignments when GGML_SCHED_DEBUG env variable is set

* sched : allow ops with weights on an incompatible buffer type

This will cause the weight to be copied to a backend that supports the
op, which is very costly. The weight should have been stored in a buffer
of a backend that can run the op, but llama.cpp cannot do this
automatically at the moment.

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-06-13 03:11:35 +02:00
slarenandGitHub c2ce6c47e4 fix CUDA CI by using a windows-2019 image (#7861) 
* try to fix CUDA ci with --allow-unsupported-compiler

* trigger when build.yml changes

* another test

* try exllama/bdashore3 method

* install vs build tools before cuda toolkit

* try win-2019
 2024-06-11 08:59:20 +03:00
slarenandGitHub fd5ea0f897 ci : try win-2019 on server windows test (#7854) 2024-06-10 15:18:41 +03:00
slarenandGitHub fe1e3917cf Revert "[SYCL] Update rpc-server.cpp to include SYCL backend (#7682)" (#7808) 
This reverts commit 9422c5e34b.
 2024-06-09 01:43:39 +02:00
slarenGitHub0cc4m
 		da799b4189 vulkan : reuse parent extra for views (#7806) 
* vulkan : reuse parent extra for views

* Fix validation error when multiple compute contexts are used in a graph

---------

Co-authored-by: 0cc4m <picard12@live.de>
 2024-06-07 19:47:49 +02:00