* release : pack /lib and /include in the packages
* cmake : put libs in /bin
* TMP : push artifacts
* Revert "TMP : push artifacts"
This reverts commit 4decf2c4df.
* ci : fix HIP cmake compiler options to be on first line
* ci : restore the original HIP commands
* ci : change ubuntu build from latest to 20.04
* ci : try to fix macos build rpaths
* ci : remove obsolete MacOS build
* TMP : push artifacts
* ci : change back to ubuntu latest
* ci : macos set build rpath to "@loader_path"
* ci : fix typo
* ci : change ubuntu package to 22.04
* Revert "TMP : push artifacts"
This reverts commit 537b09e70f.
* webui : put DeepSeek R1 CoT in a collapsible <details> element
* webui: refactor split
* webui: don't use regex to split cot and response
* webui: format+qol
* webui: no loading icon if the model isn't generating
* ui fix, add configs
* add jsdoc types
* only filter </think> for assistant msg
* build
* update build
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Now that we have batched mat-vec mul Vulkan shaders for up to n==8,
these tests weren't actually exercising the mat-mat mul path. Test
n==9 as well. Also, change to use all_types.
With robustbufferaccess disabled, this shader was showing OOB stores. There
is a bounds check in the code, but the workgrouop dimensions were reversed vs
CUDA and it was running the wrong number of threads. So fix the workgroup
dimensions and disable robustness for this pipeline.
mul mat and flash attention shaders were loading f32 types directly into
A/B matrices, which happens to work but is technically invalid usage.
For FA, we can load it as an Accumulator matrix and convert and this
is not in the inner loop and is cheap enough. For mul mat, it's more
efficient to do this conversion in a separate pass and have the input(s)
be f16.
coopmat2 requires SPIR-V 1.6 (related using to LocalSizeId). LocalSizeId
requires maintenance4 be enabled, and SPIR-V 1.6 requires Vulkan 1.3.
* Implement host pool for matrix_info
Creating a new memory pool on the host to store memory location for
matrix_info needed to launch gemm_batch from oneMKL/oneMath.
Removing complex support in gemm_batch since it is not used in llama.cpp
* Remove unnecessary headers and cast
* Reorder member variable to avoid warning on initialization
* Formatting
* Remove unused variable
* Address PR review feedback - remove warning
---------
Signed-off-by: nscipione <nicolo.scipione@codeplay.com>
This is a fork of linenoise that is C++17 compatible. I intend on
adding it to llama-run so we can do things like traverse prompt
history via the up and down arrows:
https://github.com/ericcurtin/linenoise.cpp
Signed-off-by: Eric Curtin <ecurtin@redhat.com>
* Added the ability to use guide tokens for OuteTTS, greatly improving TTS recitation accuracy over long input sequences.
* applied linting suggestions, updated to latest llama_vocab changes, added a safety check, added newline to guide token start
Add code similar to mul_mm_cm2 to force alignment of strides, to avoid
a performance regression.
Add noncontiguous FA tests in test-backend-ops.
Fixes#11268.
* vulkan: support copy from f32 to q4_0/q4_1/q5_0/q5_1/q8_0/iq4_nl
Shaders are based on cpy.cu.
* vulkan: support copy from q4_0/q4_1/q5_0/q5_1/q8_0/iq4_nl to f32
* ggml: copy q->f32 assumes some contiguity in the destination
