- return early when the graph has no nodes
- drop the redundant reset of capture_compute: the decrement at the top
of the function already transitions the counter from 0 to -1, so a
capture happens exactly once
- hint at METAL_CAPTURE_ENABLED=1 in the capture error message
- pass capture_compute == 0 (not the raw counter) as use_capture to
ggml_metal_op_init, so GPU debug-group markers are only emitted on the
captured compute
Assisted-by: pi:llama.cpp/Qwen3.8-27B
* metal : cache sparse FA indices in shared memory
Assisted-by: pi:llama.cpp/DeepSeek-V4-Flash-Vision-Exp
* metal : simplify shared memory size calculation
Assisted-by: pi:llama.cpp/DeepSeek-V4-Flash-Vision-Exp
* pi : update general
* metal : unroll sparse index load
Assisted-by: pi:llama.cpp/DeepSeek-V4-Flash-Vision-Exp
* hexagon: fix accuracy issue in Q8_0 N=1 MUL_MAT
* hex-quant: fix register spills
* hex-mm: use dma for all dyn.quant paths
Co-authored-by: Aparna M P <aparmp@qti.qualcomm.com>
* hex-mm: remove obsolete run_quant_task
* hex-mm: update tracing to properly wrap the events
* hex-mm: use act for activation data in all paths
* hex-mm: use act_ instead of src1_ to avoid confusion in fused kernels
* hex-mm: remove/reroute the rest of the non-DMA act (aka src1) logic
* hex-dma64: yet another pass at cleaning up the dma_addr_t casts
* Update ggml/src/ggml-hexagon/htp/matmul-ops.h
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
* Update ggml/src/ggml-hexagon/htp/matmul-ops.c
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
* Update ggml/src/ggml-hexagon/htp/matmul-ops.c
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
* Update ggml/src/ggml-hexagon/htp/matmul-ops.c
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
---------
Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>
Co-authored-by: Aparna M P <aparmp@qti.qualcomm.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
* vulkan: add int8 coopmat quantized matmul shader
* apply scales inline
* use scalar sums
* probe and directly access coopmat values instead of going through shmem
* add q8_0 support
* add BK_STEP to shader, default to 2
* use larger workgroups
* double buffering
* preload scales
* coopmat load first, then wmma
* use float for scales
* add faster RDNA int->float conversion
* workgroup scheduling for cache proximity
* clean up
* use wave32
* restructure for vgpr use
* skip computation for inactive tiles
* only force subgroup size 32 on AMD RDNA
* use BK_STEP 4
* fix compilation
* move quant-specific prefetch function out of main file
* add q4_1, q5_0, q5_1 support
* restructure mmq cm1 functions
* enable mul_mat_id support
* fix segfault
* fix mul_mat_id bug
* support iq4_nl and mxfp4
* remove elem row/col fast path, invalid for RDNA4
* use shmem arrays for LUTs
* use 4-byte loads where possible
* add q3_k, q4_k, q5_k, q6_k and nvfp4 support
* fix l warptile
* improve performance
* improve performance
* improvements
* dedup b scales
* merge shmem arrays
* undo uint8_t, gate to RDNA3/4
* add RDNA4 architecture, use for hardcoded coopmat elem thread access, set BK_STEP back to 4
* improve offset application
* clean up
* fix iq4_nl and nvfp4 performance
* rdna4 tuning
* use BK_STEP 2 on MUL_MAT_ID
* adapt to upstream changes
* fix shmem support function, clean up comments
* fix warptile logic
Co-authored-by: Piotr Wilkin (ilintar) <piotr.wilkin@syndatis.com>
* vulkan: add IQ4_XS support to the coopmat1 integer matmul shader (#28440)
Adds IQ4_XS to mul_mmq_cm1: dedicated block_a_load/block_a_to_shmem that
expand both nibbles of each packed32 word through cm1_kvalues, LOAD_VEC_A 8
and an IQ4_XS-sized a_panel_bytes estimate for the L2-friendly scheduling.
Assisted-by: OpenAI Codex
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
* avoid compiling f16 acc shader variants
---------
Co-authored-by: Piotr Wilkin (ilintar) <piotr.wilkin@syndatis.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
* model : fold Ling 3.0 VL into the BailingMoeV3 architecture
Assisted-by: Scout
* model : keep shared NORM rope list intact when gating bailingmoe3 on mrope sections
---------
Co-authored-by: aetherbird <aetherbird@users.noreply.github.com>
* test-save-load-state : print a per-model results table in --models mode
in --models mode the output was very heavy: every model printed its
token dumps, per-test headers and PASS lines. instead, silence all
logging except the table itself (common_log_set_verbosity_thold(0)
leaves only LOG / LOG_LEVEL_OUTPUT) and print one row per model with
one column per test, colored PASS/FAIL/SKIP cells, row by row.
- run_save_load_tests_for_model returns a test_suite with a dynamic
std::vector<test_status> and continues past failures: tests 3-5 are
SKIPped when the baseline (test 1) fails, model init failure skips all
- per-test token dumps, test headers and PASS lines are demoted to
LOGV(LOG_LEVEL_INFO, ...) so they still show in single-model mode
- the table header/rows derive their columns from test_names; the
model name is printed and flushed before the suite runs so the model
currently in flight is always visible
- single-model output and exit codes are unchanged
Assisted-by: pi:llama.cpp/Qwen3.8-27B
* test-save-load-state : print example usage on -h
add a print_usage callback passed to common_params_parse, so -h/--help
also shows example commands for the tool-specific --models option and
the -lv verbosity level
Assisted-by: pi:llama.cpp/Qwen3.8-27B
* test-save-load-state : remove comments
ref: https://github.com/ggml-org/llama.cpp/pull/29316
Assisted-by: pi:llama.cpp/Qwen3.8-27B
make-release-desc.sh now emits "Changelog since [vX.Y.Z](<repo>/releases/tag/vX.Y.Z)"
instead of a plain version string, so the release notes link back to the previous release.
The repo URL is derived from the origin remote (SSH or HTTPS); if it cannot be
resolved (local run without origin), the title falls back to plain text.
Assisted-by: pi:llama.cpp/Qwen3.8-27B
Resolve the target arch with get_model_architecture so vision targets
(e.g. Lfm2VlForConditionalGeneration) map to their text model for the vocab.
Fix double rope reorder for LFM2/LFM2.5 DSpark drafters
* tests: add backend option to test-llama-archs
* Update tests/test-llama-archs.cpp
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* remove extra space
---------
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
Restore get_cache_directory() as fs::path as string() can be lossy on Windows
Partially reverts #29125
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
ggml_conv_1d_dw builds its im2col as f32 when the kernel is bf16, then
multiplies the two, so a depthwise convolution over bf16 weights asks
for kernel_mul_mv_f32_bf16, which was never instantiated. The base, the
_4 and the _short families are filled in next to their bf16 neighbours,
inside the same runtime guard, so a device without bf16 support is
unaffected.
* CUDA: enable sparse-fa for dsv4 prefill (again)
* CUDA: unroll the query loop of the sparse mask scan
The query loop of flash_attn_mask_to_sparse_indices has a runtime trip
count, which keeps the unrolled scan over the values of a lane from
issuing its loads together. Template the kernel on ncols1 so the loop
is bounded at compile time: batch one decodes compile to straight line
code and the scan drops from 46 to 17 us at 49k columns on sparse
decode shapes.
* CUDA: pick the out of bounds check of the sparse mask scan in host code
The query loop of the ncols1 == 8 scan keeps a runtime bound and an
early exit, so it does not unroll past its first iteration. Template the
kernel on whether the last group of queries is partial, decided on the
host from n_queries, and hoist the column bound out of the loop: the
loop becomes straight line code and the batched sparse op at 49k
context drops from 586 to 244 us.
---------
Co-authored-by: Pascal <admin@serveurperso.com>
* jinja : parse unary +/- before variables
Lexer already emits unary_operator for -n / +n, and runtime executes
unary -. Parse them at multiplicative precedence so slices like
items[:-n] and GigaChat indent[:-indent_factor] work.
* jinja : keep filters/tests outside unary operands
Unary +/- must bind only the primary/postfix operand so -n|abs is
(-n)|abs, not -(n|abs). Add unary + and filter/test regression coverage.
Signed-off-by: sinksilk <785976238@qq.com>
---------
Signed-off-by: sinksilk <785976238@qq.com>
The OpenAI chat completions API specifies content part type "video_url"
with a {"url": ...} object, and clients typically send data: URIs
(e.g. data:video/mp4;base64,...). The llama-server only accepted the
non-standard "input_video" type and rejected data: URIs for video
(accept_base64_uri=false), so any OpenAI-conformant client failed with
"unsupported content[].type" or "Invalid uri format".
- accept "video_url" as an alias of "input_video"
- read the media object from whichever key was used
- allow data: URIs for video (data:video/*), as already done for images
This commit adds a new recipe/target to the Makefile which allows the
logits verification to be run on pre-existing model outputs.
The motivation for this is that for large models it can take a long time
to run them models, and especially for the original model which seldom
changes this is very time consuming. With this change we can run the
original model one which will store the tokens and logits, and then
manually run the converted model and the run use this recipe to verify
them against the orignal model.
* dspark: add Gemma 4 draft support
Add GGUF conversion and runtime support for full-attention and SWA Gemma 4
DSpark drafts, including tied output weights and boolean backbone metadata.
Assisted-by: Codex
* dflash: infer Gemma draft features from metadata
Aman Gupta