4943 Commits

Author SHA1 Message Date
Lars Sonchocky-Helldorf
18b663d8e4
install : add macports (#12518)
MacPorts section added
2025-03-23 10:21:48 +02:00
Xuan-Son Nguyen
fbdfefe74e
llama : gemma3 : use output tensor if it exists in model weight (#12506)
* llama : gemma3 : use output tensor if it exists in model weight

* also add to the llm_tensor_names
b4942
2025-03-22 23:28:19 +01:00
Georgi Gerganov
ba932dfb50
ggml : fix quantized cpy op (#12310)
* ggml : fix quantized cpy op

ggml-ci

* tests : add cpy tests for all types

ggml-ci

* tests : add BF16 copy tests

ggml-ci

* tests : fix loop for same-type copy

ggml-ci

* tests : add option to permute the dst tensor

ggml-ci
2025-03-22 16:23:26 +02:00
R0CKSTAR
fac63a3d78
musa: refine compute capability (#12493)
* musa: refine compute capability

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Address review comments

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
b4940
2025-03-22 10:11:37 +01:00
Jeff Bolz
eddfb43850
vulkan: Optimize mul_mat_vec p021 and nc shaders (#12505)
* tests: add mul_mat perf/functional tests for p021/nc vulkan shaders

* vulkan: Optimize mul_mat_vec p021 and nc shaders.

These shaders are used in attention calculations, and when the KV cache grows
large they start to dominate the run time. For the nc shader (which is called
with large 'k' dimension), use unrolling and vector loads. For the p021 shader
(which is called with large 'm' and small 'k' dimensions), take advantage of
grouped query attention to reuse loads from the A matrix for the whole group,
and reduce the number of workgroups (too much overhead from tiny dispatches).

Using subgroupAdd in the p021 shader also helps, use that conditionally.
b4939
2025-03-22 09:40:11 +01:00
stduhpf
4375415b4a
Vulkan: RTE rounding for cpy to quant (#12480)
* Vulkan: RTE rounding for cpy to quant

Co-Authored-By: Jeff Bolz <jbolz@nvidia.com>

* remove trailing whitespace

* avoid duplicating pipeline_cpy_f32_quant

* fix copypasting issue

* remove duplicated code

---------

Co-authored-by: Jeff Bolz <jbolz@nvidia.com>
b4938
2025-03-21 20:34:50 +01:00
Eve
30c42ef5cb
vulkan: workaround for AMD Windows driver 16 bit unpack8 bug (#12472) b4937 2025-03-21 20:27:47 +01:00
Georgi Gerganov
af04481e6b
model : do not repack if a GPU device is present (#12498)
ggml-ci
b4936
2025-03-21 16:14:29 +02:00
Sigbjørn Skjæret
960e726077
chore : cleanup llama_model_loader::TENSOR_ usage (#12492) b4935 2025-03-21 10:21:36 +01:00
marcoStocchi
ea1518e839
llama-tts : avoid crashes related to bad model file paths (#12482) b4934 2025-03-21 11:12:45 +02:00
蕭澧邦
1aa87ee53d
[SYCL] Fix build on Windows when ccache enabled (#9954) (#9976)
* [SYCL] Fix build on Windows when ccache enabled (#9954)

* take effect only on windows and force it to icl

---------

Co-authored-by: Romain Biessy <romain.biessy@codeplay.com>
b4933
2025-03-21 14:58:47 +08:00
Svetlozar Georgiev
9ffcc9e374
sycl: cleanup oneDNN related code (#12097) b4932 2025-03-21 10:15:56 +08:00
Woof Dog
e04643063b
webui : Prevent rerendering on textarea input (#12299)
* webui: Make textarea uncontrolled to eliminate devastating lag

* Update index.html.gz

* use signal-style implementation

* rm console log

* no duplicated savedInitValue set

---------

Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
2025-03-20 15:57:43 +01:00
Sigbjørn Skjæret
dbb3a4739e
llama : make Qwen2MoE QKV bias optional (#12477) b4930 2025-03-20 12:49:59 +01:00
Srihari-mcw
3d82dbcbce
ggml : block interleaving support for Q4_K quantization for x86 AVX2 architecture (#12332)
* Add block interleaving support for Q4_K quantization

* Remove whitespaces and fix CI/CD issues

* Update pointer of bsums from int16_t to const int16_t

* Add vector version of quantize_q8_K_4x8 function

* Update code formatting based on review comments
b4929
2025-03-20 13:35:34 +02:00
Bartowski
732b5fbf5e
convert : avoid calls to tokenizer.added_tokens_decoder (#12473)
tokenizer.added_tokens_decoder returns a fresh dict every time relatively slowly (~0.04s on average) which results in massive slowdowns when we have a huge number of added tokens
2025-03-20 08:36:37 +02:00
fairydreaming
568013d0cd
context : clear sets containing encoder output sequence ids before storing new values (#12470)
Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
b4927
2025-03-19 21:01:57 +01:00
Gaurav Garg
517b5ddbf0
CUDA: Improve flash decoding kernel GPU occupancy for BS=1 case (#12183)
- Find out active blocks per SM using cudaOccupancyMaxActiveBlocksPerMultiprocessor API. Use this value to determine the optimal parallel_blocks value.
- Prefer vector flash attention kernels over MMA kernel for BS=1

Fixes Issue: #12182
---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
b4926
2025-03-19 20:52:06 +01:00
Jeff Bolz
a9b59288e2
vulkan: optimize iq1 coopmat2 dequant functions (#12427) b4925 2025-03-19 19:56:23 +01:00
Guus Waals
0fd8487b14
Fix visionOS build and add CI (#12415)
* ci: add visionOS build workflow

Add a new GitHub Actions workflow for building on visionOS with CMake and Xcode.

* ggml: Define _DARWIN_C_SOURCE for visionOS to fix missing u_xxx typedefs

* ci: remove define hacks for u_xxx system types

---------

Co-authored-by: Giovanni Petrantoni <7008900+sinkingsugar@users.noreply.github.com>
b4924
2025-03-19 11:15:23 +01:00
Sigbjørn Skjæret
108e53c2f1
llama : add support for GPT2, Bloom and CodeShell tied word embeddings (#12456)
* Add support for GPT2, Bloom and CodeShell tied word embeddings

* Deduplicate tied word embeddings weights

* Workaround for incorrect weight map

It appears transformer.wte.weight is in the weight map even though the weights are not there, remove it if output weights are encountered first.

* check++

* fatfingers--
b4923
2025-03-19 09:08:49 +01:00
Sigbjørn Skjæret
a686171ea7
convert : Support chat_template.json (#12460) 2025-03-19 08:58:13 +01:00
Jeff Bolz
c446b2edd2
vulkan: Submit once enough matmul work has been recorded (#12406)
I've been seeing significantly worse performance for tg with flash attention
enabled vs disabled, and it seems to be related to the submit heuristic.
Change the heuristic to check how many bytes worth of weight matrix are
used and flush every 100MB, and ramp up after the first few submits.
This seems to resolve the issue, and also increases perf for non-FA a bit.
b4921
2025-03-19 08:26:26 +01:00
lhez
d84635b1b0
opencl: improve profiling (#12442)
* opencl: more profiling timing

* opencl: generate trace for profiling

* opencl: reduce profiling overhead

* Populate profiling timing info at the end rather than after each
  kernel run

* opencl: fix for chrome tracing
b4920
2025-03-18 12:54:55 -07:00
Georgi Gerganov
75422e8bc4
graph : normalize Q, K, V shapes + sync cross attention (#12449)
* graph : normalize Q, K, V shapes and add comments

ggml-ci

* context : synchronize before getting cross attention data

* model : fix command-r attention norm check
b4919
2025-03-18 21:35:19 +02:00
R0CKSTAR
bb115d2bf7
musa: override warp_size of musa device to 32 (#12445)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2025-03-18 19:28:26 +01:00
Xuan-Son Nguyen
29fff308c7
llama : support converting Mistral Small text-only (#12450) 2025-03-18 19:16:19 +01:00
Georgi Gerganov
c6af2161b2
speculative : fix seg fault in certain cases (#12454) b4916 2025-03-18 19:35:11 +02:00
Xuan-Son Nguyen
99aa304fb9
llama : add support for EXAONE tied word embeddings (#12451) b4915 2025-03-18 17:24:33 +01:00
Georgi Gerganov
8551c44d84
context : always use non-causal attention for encoder graphs (#12447)
* context : always use non-causal attention for encoder graphs

ggml-ci

* context : move the change to llama_context::encode()

ggml-ci
b4914
2025-03-18 13:05:49 +02:00
Łukasz Ślusarczyk
35cae5ba05
SYCL: using graphs is configurable by environment variable and compile option (#12371)
* alberto changes

* enable sycl graphs by env variable

* fixed compilation warnings in ggml-sycl.cpp

* renamed graph variables

* fix markdown in docs/backend/SYCL.md

Co-authored-by: Romain Biessy <romain.biessy@codeplay.com>

* fix markdown in docs/backend/SYCL.md again

* compiling graphs by default, renamed graph_enable to graph_disable

---------

Co-authored-by: Romain Biessy <romain.biessy@codeplay.com>
b4913
2025-03-18 11:16:31 +01:00
Georgi Gerganov
810e0af3f5
server : fix warmup draft cache type (#12446)
ggml-ci
b4912
2025-03-18 12:05:42 +02:00
Prajwal B Mehendarkar
eba92d64c3
cmake : fix PowerPC build (#12241)
Closes #12240
b4911
2025-03-18 11:37:33 +02:00
fj-y-saito
d9a14523bb
ggml : add SVE support for q6_K_q8_K (#12361) b4910 2025-03-18 10:14:39 +02:00
0cc4m
fd123cfead
Vulkan: Default to 1GB allocations instead of 4GB to avoid fragmentation and driver issues (#12434) b4909 2025-03-18 07:21:40 +01:00
Łukasz Ślusarczyk
a53f7f7b88
fixed compilation warnings in ggml-sycl (#12424) b4908 2025-03-18 08:51:25 +08:00
Molly Sophia
7dfad387e3
llama: Add support for RWKV v7 architecture (#12412)
* ggml: Add op l2_norm

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* ggml: Add op rwkv_wkv7

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: Add support for RWKV7 and ARWKV7 models

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: fix inference with RWKV6Qwen2

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: add more (a)rwkv7 variants in size

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* Apply code-format changes

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* fix MUSA build

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

* llama: fix shape error with rwkv using llama-parallel

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>

---------

Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
b4907
2025-03-18 07:27:50 +08:00
Sigbjørn Skjæret
60c902926c
docs : bring llama-cli conversation/template docs up-to-date (#12426) 2025-03-17 21:14:32 +01:00
Gaurav Garg
b1b132efcb
cuda : enable CUDA Graph on CUDA Toolkit < 12.x (#12394)
* Enable CUDA Graph on CTK < 12.x

`cudaGraphExecUpdate` API was changed on 12.x. For this reason CUDA graph support was disabled on older CUDA toolkit. This change enables CUDA support in CTK version < 12.x by using older API if CTK < 12.x.

* Fix compilation errors with MUSA

* Disable CUDA Graph for MUSA
b4905
2025-03-17 20:25:13 +02:00
Guus Waals
01e8f2138b
ggml-vulkan: remove unused find_program(glslc) (#12416)
It's already found by FindVulkan.cmake in the parent CMakeLists
2025-03-17 13:35:43 -03:00
Jeff Bolz
484a8ab513
vulkan: Add N/2 and N/4 optimized paths in coopmat2 shader (#12312) b4903 2025-03-17 09:26:18 -05:00
Daniele
cf2270e4d3
vulkan: subgroup size tuning (#12087)
* vulkan: subgroup size test

* Vulkan: Add device architecture enum and logic to recognize AMD generations

* vulkan: use new architecture logic to specify subgroup size

* Initial vulkan subgroup size tuning for RDNA3

* vulkan: commonize RDNA subgroup tuning

* vulkan: override subgroup size if required_subgroup_size = 0

* vulkan: disable warp 32 for RDNA3

* vulkan: fine tuned RDNA1 subgroup sizes

* vulkan: adjusted subgroup size map

* vulkan: fixed RDNA2 subgroup map

---------

Co-authored-by: 0cc4m <picard12@live.de>
b4902
2025-03-17 12:42:33 +01:00
Jeff Bolz
f07690c930
vulkan: use fp32 in coopmat2 q4_k dequant function (#12309) b4901 2025-03-17 10:43:35 +01:00
Jeff Bolz
891c63956d
vulkan: Pad N dimension of B matrix for coopmat2 perf, to avoid bounds checking (#12273)
* vulkan: Pad N dimension of B matrix for coopmat2 perf, to avoid bounds checking
b4900
2025-03-17 10:41:59 +01:00
Jeff Bolz
2f21123c1d
vulkan: Adjust coopmat2 tile sizes and selection heuristic (#12258) b4899 2025-03-17 10:35:00 +01:00
Christian Kastner
374101fd74
cmake : enable building llama.cpp using system libggml (#12321)
* cmake: Factor out compiler flag function from ggml

llama.cpps's build requires it, too, and we may want to make use of it
without add_subdirectory(ggml).

* cmake: Enable building against system ggml

This facilitates package maintenance for Linux distributions, where the
libggml library most likely will be shipped as an individual package
upon which a llama.cpp package depends.
b4898
2025-03-17 11:05:23 +02:00
Akarshan Biswas
b3c9a65673
SYCL: set extras only on GGML_TYPE_Q4_0 (#12366)
* SYCL: set extras only on GGML_TYPE_Q4_0

* release tensor_extras in reset buffer interface
b4897
2025-03-17 09:45:12 +08:00
Sigbjørn Skjæret
8ba95dca20
llama : fix OLMo-2-0325-32B-Instruct K-norm size (#12400) b4896 2025-03-16 19:46:36 +02:00
Georgi Gerganov
dc079cfdff
context : fix init of n_outputs (#12397)
ggml-ci
b4895
2025-03-16 19:29:36 +02:00
Daniel Bevenius
7b61bcc87c
ci : add --symlinks to xcframework zip command (#12409)
This commit adds the --symlinks option to the zip command used to create
the xcframework zip file. This is necessary to create symlinks in the
zip file. Without this option,  the Versions symlink is stored as a
regular directory entry in the zip file, rather than as a symlink in the
zip which causes the followig error in xcode:
```console
Couldn't resolve framework symlink for '/Users/danbev/work/ai/llama.cpp/tmp_1/build-apple/llama.xcframework/macos-arm64_x86_64/llama.framework/Versions/Current': readlink(/Users/danbev/work/ai/llama.cpp/tmp_1/build-apple/llama.xcframework/macos-arm64_x86_64/llama.framework/Versions/Current): Invalid argument (22)
```

Refs: https://github.com/ggml-org/llama.cpp/pull/11996#issuecomment-2727026377
2025-03-16 18:22:05 +01:00