* common : delegate assistant continuation to template handler
* server : implement echo parameter to exclude assistant prefill in the response
* server : fix tests for prefill
* server : use existing llama template
* cont : clean up
* ci/run: set explicit SPIR-V Headers search path for macOS vulkan CI
For whatever reason, the files are under additional sub-path
`vulkan/` under the cmake directory, which does not match either
current LunarG macOS Vulkan SDK structure (`lib/cmake/SPIRV-Headers`),
nor what gets installed when you run the cmake build+install for
SPIRV-Headers itself on at least Linux (`share/cmake/SPIRV-Headers`).
This allows for SPIRV-Headers to be found, as currently the CI
runner's setup does not seem to include the relevant path in
list of search locations.
* ggml-vulkan/CMakeLists: add a check for SPIRV-Headers
This is installed by the project if it is built and installed.
Receiving an error during the configuration step is generally
preferred to receiving an error in the middle of a build.
The --embd-normalize flag was registered only for the embedding and debug
examples, so llama-server rejected it and the /embedding handler used a
hard-coded default of 2 (L2). Add LLAMA_EXAMPLE_SERVER to the flag's
example set and read params.embd_normalize as the handler's default. The
per-request "embd_normalize" body field continues to override.
For a given output position j on the time axis, only input positions
i such that i*s0 <= j < i*s0 + K contribute -- i.e.
i in [ceil((j - K + 1)/s0), floor(j/s0)] intersected with [0, IL-1].
That's at most ceil(K/s0) values (typically 2 for stride==K/2
transposed convs).
The current kernel iterates the full IL range and filters with an
`if`, amplifying per-thread work by IL/ceil(K/s0) (~160x for IL=320,
K=10, s0=5 -- a representative codec-decoder shape). On Apple M1
the wasted work trips the macOS GPU watchdog
(kIOGPUCommandBufferCallbackErrorImpactingInteractivity) on long
graphs.
Compute i_min, i_max analytically before the inner loop and iterate
only [i_min, i_max]. Output is bit-identical (same multiplies and
adds in the same order); loop bound shrinks by IL/ceil(K/s0).
Tested on M1 with a downstream consumer running a TTS codec at full
T_codec; end-to-end codec decode ~3-4x faster, zero watchdog hits
across long synthesis runs vs ~30% pre-patch.
* spec: support MTP
* fix batch size
* rename files
* cont : simplify (#7)
* MTP: clean-up (#9)
* MTP: clean-up
* review: use llama_context_type instead of llama_graph_type
* review: remove llama_model_has_mtp
* review: fix convert issues
* convert: fix pycheck
* review: formatting
* use `mtp-` for identifying mtp models
* convert: fix mtp conversion
* mtp -> draft-mtp
* remove unused llama_arch
* add need_embd in speculative
* llama: allow partial seq_rm for GDN models for speculative decoding
Currently speculative checkpoint needs to restart from a checkpoint
after some draft tokens are not accepted, this leads to some wastage in
running the target again. This PR adds the ability to rollback upto
`draft_max` by storing the GDN intermediates.
* fix pending state
* vulkan: add GDN partial rollback
* meta: extend check to axis 1
* metal: add GDN partial rollback
Extend the gated delta net kernel to store intermediate states for
partial rollback support on the Metal backend.
- Add K (snapshot slot count) as a function constant
- Read input state from slot 0 of the 3D state tensor
- Write intermediate states to different slots during token loop
- For K=1, maintain backward-compatible single-slot behavior
Ref: https://github.com/ggml-org/llama.cpp/commit/8c05923630110223669f069af2000e9cf10c02bc
Assisted-by: llama.cpp:local pi
* delta_net_base: use ggml_pad instead of new_tensor
* review: add need_rs_seq
* review: rename part_bounded to n_rs
* review: deslop comments
* review: rename, add asserts
* server : adjust checkpoint logic (#11)
* server : adjust checkpoint logic
* cont : rm asserts
* server-context: fix early exit
* spec : fix compatibility with n-gram and add TODOs (#13)
* metal : cleanup
* llama : fix faulty bitwise check in recurrent memory
* server : disable RS-based MTP in combination with other spec types
* spec : add TODOs
* cont : fix comment
* cont : update comment
* common : fix logic for ngram + mtp compat
* llama-memory: enable checkpointing with partial rollback
* cont: add test-case for loading into a dirty ctx
* llama-memory-recurrent: clear rs_idx in clear
* download: fix mtp path
* llama-arch: fix enorm op
* docs: update docs
* conversion: fix type annotations
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
The MUL_MAT test loop iterates over base_types[] to generate non-contig
permutation cases (3 standard permutations across n in {1, 8, 16}).
BF16 is absent from base_types[], so these 9 cases were never generated
for BF16 even though every other type covered by base_types[] tests them.
Add the missing 9 cases explicitly: BF16 x F32, m=16, k=256, bs=[2,3],
permutations {0,2,1,3}, {0,1,3,2}, {0,3,2,1}, with n in {1, 8, 16}.
Suggested-by: @jeffbolznv
* move conversion code to a dedicated conversion directory and split the files akin to the src/models architecture
---------
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
Add Aime2026Dataset class loading from MathArena/aime_2026 on
HuggingFace. 30 problems (two sets of 15), single config/split.
Usage: --dataset aime2026
Assisted-by: llama.cpp:local pi
* Support for Codex CLI by skipping unsupported Responses tools
* Warn on skipped Responses tools and preserve gpt-oss apply_patch rejection
* Revert gpt-oss apply_patch special handling
Adds RDNA3 support to the CUDA mma FA kernel. To make the RDNA3 tensor cores work with the FP16 accumulation for VKQ the tiles they need to be 32 logical units long in direction of the attention head; for head sizes 80 and 112 that are not exactly divided by 32 the regular length of 16 with FP32 accumulation is used instead. The longer tiles also enable more efficient transposition for a warp size of 32 which is why it's also used for RDNA4. However, this scrambles the data layout of the accumulators along the attention head dimension. To prevent accidental misuse I added another entry to ggml_cuda_mma::data_layout.
I also tuned the kernel parameters for RDNA3, RDNA4, and CDNA1 in general, during which I discovered that the kernel can be made to work for head sizes up to 256 for CDNA. For RDNA3/4 I was not able to get better performance that the tile kernel for head sizes > 128.
* update test scripts
* align CI behavior between linux and android
* remove automatically cancel in 15min
* enable cancel-in-progress
* fix ty check issue
* update and fix pylint issue
* update runner such that we are not restricted by the 15min limit rule
* fix flake8 lint issue
* update runner according to review feedback
* code update according to review feedback
* switch from llama-cli to llama-completion binary with -no-cnv flag
* ggml-webgpu: makes the flash attn vec path compile and size its split/reduce work from the device’s reported subgroup range instead of assuming 32 subgroup size.
* ggml-webgpu: remove the extra max_wg_size >= max_subgroup_size guard. Remove hardcoded 32 when determine the value of reduce_wg_size and vec_nwg_cap
* fix: Propagate version tag to WebUI asset download in self-hosted CI
* refactor: Apply suggestions from @CISC
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* fix: Skip npm build when Node.js is not installed
Avoid 'no such file or directory' errors on CI runners that lack
Node.js. Check if npm is available via find_program before attempting
npm install + npm run build. Falls back to HF Bucket download.
* fix: Use + separator for ASSETS list to fix Windows build
Replace fragile \; escaping with a + separator when passing the
WebUI asset list via -DASSETS to the download script. On Windows,
the \; escaping was not reliably preserved through the CMake build
system, causing all asset filenames to be concatenated into one
(e.g., 'index.html;bundle.js;bundle.css;loading.html' as a single
file), which broke the HF Bucket download and subsequent xxd.cmake
step.
+ is safe because it is not special in cmd.exe (unlike | which is a
pipe operator), not special in CMake's -D argument parser, and not
a valid Windows filename character. CMakeLists.txt joins assets
with + and webui-download.cmake splits them back via regex.
* fix: Validate HF_WEBUI_VERSION environment variable with regex
Add input validation for the HF_WEBUI_VERSION env var to prevent
CMake list separator or path-traversal issues in stamp filenames
and download URLs. Rejects non-conforming characters early.
* fix: Remove 'latest' fallback for HF_WEBUI_VERSION
When needs.determine-tag.outputs.tag_name is empty, let CMake's
default resolution handle it (empty -> git-based version lookup)
instead of falling back to 'latest'. This ensures the sentinel
stamp file is consistent with CMake's resolution logic.
* fix: Demote checksum verification failure to warning instead of hard gate
* fix: End line character
---------
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
Sigbjørn Skjæret