* Metal : stop overflow from happening in large matrix output offsets
Assisted-by: Codex
* metal : widen batch offsets and MUL_MAT_ID token indices
Assisted-by: Codex
---------
Co-authored-by: feni6 <270037094+feni6@users.noreply.github.com>
* ui : land opened conversations at their bottom before the first paint
Pin the page to its bottom with a ResizeObserver until it stops resizing or the reader interacts, and mount the last rows eagerly so the landing frame shows real content.
Assisted by: Claude (Opus 5.5 Medium)
* ui : make conversation tabs browser-style
A plain navigation shows the chat in the current tab instead of adding one, and the new-chat tab turns into the conversation it starts. New tabs come only from explicit actions: the + button, Cmd/Ctrl-click or middle-click on a sidebar chat, and its Open in new tab menu item, which open in the background. Closing a tab moves to its neighbour among the tabs the view shows.
Assisted by: Claude (Opus 5.5 Medium)
* ui : share the tab surface and tab bar fade styles
Move the tab item surface (shape, resting and active looks) to TAB_SURFACE_* class constants and the fade under the tab bar to a global chat-top-fade class, so other elements can match the tabs.
Assisted by: Claude (Opus 5.5 Medium)
* ui : fit the chat column below the tab bar
The tab bar reported 1.25rem of its height while it takes 3.3125rem (pt-3.25 + h-10), so a short conversation still left a few pixels to scroll. Use the bar's full height and drop the extra 1rem from the column's minimum height, so it fills the viewport exactly; the centered new-chat form moves up by the same 1rem to keep its place.
Assisted by: Claude (Opus 5.5 Medium)
* ui : stop the page from bouncing past its ends
Elastic overscroll on the root scroller dragged the sticky and fixed bars (tab bar, chat form) along at the top and bottom of a chat, and they jumped back on release. Set overscroll-behavior: none on html and body.
Assisted by: Claude (Opus 5.5 Medium)
* ui : stop scrolled dialogs from bouncing past their ends
Dialogs scroll on their own (the settings panel, the search results), so the page rule did not reach them and their sticky navigation still jumped on overscroll. Turn off overscroll on dialog panels and on the scroll containers inside them. Only scroll containers: Firefox counts an overflow-hidden box such as truncated text as one, and `none` there kept the wheel from scrolling the list around it.
Assisted by: Claude (Opus 5.5 Medium)
* ui : fit a first exchange opened by the working directory row
The last answer's minimum height leaves room for the last question only, so the synthetic row that a new chat starts with (Set working directory to ...) made a short first exchange overflow by that row. When everything above the last question is synthetic, count those rows as part of it.
Assisted by: Claude (Opus 5.5 Medium)
* ui : keep following a streaming response until the reader scrolls up
Auto-scroll stopped whenever the page moved up, including moves the
reader did not make: scroll anchoring and blocks re-rendering shorter
while a response streams. Only the reader's wheel, touch, scroll keys
or scrollbar drag now count as scrolling up.
The send scroll also looked up the new user bubble by position, which
picked an older message when the answer row had not rendered yet.
Assisted by: Claude (Opus 5.5 Medium)
* ui : fade the chat form between its centered and bottom positions
The form no longer slides across the column between the new-chat center
and the bottom. It fades out drifting toward where it goes and fades
back in where it lands, quicker when opening a chat than when going back
to a new one. Its wrapper keeps the same height in both positions, so
the messages never shift while it moves.
The new-chat greeting fades in as the form settles, also on a refresh or
a first visit. Reduced motion keeps only the fades.
Assisted by: Claude (Opus 5.5 Medium)
* ui : let the expanded sidebar be resized by dragging its edge
Bring back the desktop sidebar resize handle that was dropped with the
shadcn sidebar primitive. The width is clamped between 18rem and 32rem,
persists across reloads, and resets on a double-click of the handle. The
tab bar follows the same width so a wider sidebar never covers it.
Assisted by: Claude (Opus 5.5 Medium)
* ui : rubber-band the sidebar edge past its bounds and drag it shut
Past the max width the edge resists harder the further it is pulled, and
the same happens below the min width until the pull passes 9rem, where it
snaps to the pointer and letting go hides the sidebar. A release outside
the bounds springs the width back to the nearest one.
Assisted by: Claude (Opus 5.5 Medium)
* ui : show the sidebar edge strip faintly on hover and solid while dragging
The strip is clipped to the sidebar's rounded corners through its own
overlay, so the sidebar itself is never clipped.
Assisted by: Claude (Opus 5.5 Medium)
* ui : remember whether the desktop sidebar is open across reloads
A phone opens the sidebar as an overlay, so it always starts closed there
and its toggling never overwrites the desktop preference.
Assisted by: Claude (Opus 5.5 Medium)
* ui : fade the sidebar labels and conversation list with its width
The fade follows the live width, so it tracks both the toggle's width
transition and a drag below the minimum width.
Assisted by: Claude (Opus 5.5 Medium)
* ui : persist the sidebar width on release and clamp a restored one
A drag now updates only the live width and writes it to localStorage once
when released. A width restored from localStorage is clamped to the
current bounds, so a value saved under older bounds does not stick.
Assisted-by: Claude (Opus 5.5 Medium)
* kv-cache : use ggml_backend_tensor_copy to refill the DSV4 K mirrors
* llama : move the Engram pad id to llama_hparams and the token map to llama_model
The saver no longer needs the deepseek41 model class.
* deepseek41 : drop the F32 src1 request on the HC mixes matmul
* ggml : add softplus TODOs in the backends that still use log(1 + exp(x))
* convert : make the DSV4/DSV4.1 modify_tensors generators, drop the redundant vision filter
* deepseek41 : clean up comments
* deepseek41 : drop the F32 src1 requests on the router and indexer matmuls
* convert : use format_tensor_name directly in DeepseekV4Model
* s/comp_kv_src/comp_il_src/g
* cont : fix TODOs for log1p
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* cuda : use std::string instead of VLA for archName
Modernize the code (old C style) and fix the following warnings:
```
ggml/src/ggml-cuda/ggml-cuda.cu:180:19: warning: variable length arrays in C++ are a Clang extension [-Wvla-cxx-extension]
180 | char archName[archLen + 1];
| ^~~~~~~~~~~
ggml/src/ggml-cuda/ggml-cuda.cu:180:19: note: read of non-const variable 'archLen' is not allowed in a constant expression
ggml/src/ggml-cuda/ggml-cuda.cu:179:9: note: declared here
179 | int archLen = strlen(devName);
| ^
```
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
* Add a comment about archName
Signed-off-by: Adrien Gallouët <adrien@gallouet.fr>
---------
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
Signed-off-by: Adrien Gallouët <adrien@gallouet.fr>
* common, grammar: add recursive depth limit, make it a requirement
* catch more recursive functions
* common : tidy up peg parser changes
* grammar : reject candidates in a loop, without a depth limit
The depth limit in llama_grammar_reject_candidates_for_stack counted
the code points of a vocab token, so any token of 256 chars or more
was always rejected under a grammar, such as the 512-space token of
GLM-4.7-Flash or the long space tokens of Laguna-S-2.1.
The rejection now walks the code points with its own stack of levels
instead of recursing: there is no limit and no stack risk, whatever
the length of a token from the GGUF, and the masks match master.
* grammar : track rejected candidates as indices into the input
At a given code point a candidate only differs from its input by the
position of its code point pointer, so the levels now carry indices
into the input candidates instead of copies. The first level needs no
special case and the rejects map back to the input directly.
Grammar sampling gets faster than master on GLM-4.7, Laguna, Qwen3.6
and gemma-4 with the json, list and spaces grammars, same masks.
* nit : shorten the comment of llama_grammar_reject_step
* common : add depth_guard for schema walks
* grammar : move GRAMMAR_RECURSIVE_LIMIT into the .cpp
* common : reduce recursion limit for peg parser
* improve
---------
Co-authored-by: Alde Rojas <hello@alde.dev>
Co-authored-by: Pascal <admin@serveurperso.com>
* llama-quant : fix quantizing 4D tensors
nrows_total was ne[1]*ne[2], so for a 4D tensor only the first ne[2]
slices were quantized and the rest of the rows were dropped. Use
ggml_nrows(tensor) to count all rows, including ne[3].
Fixes#29916
* llama-quant : detect expert tensors by name and fix imatrix size for 4D tensors
The MXFP4_MOE path used ne[2] > 1 to detect MoE expert tensors. This is
wrong for non-expert tensors with 3 or more dims, e.g. MLA projections
(BailingMoE3) and 4D conv kernels. Use the tensor name instead: all
tensors used by GGML_OP_MUL_MAT_ID are named *_exps or *_chexps. This
also removes the BailingMoE3 special case.
The imatrix holds one vector of ne[0] values per 2D slice, so the
expected size is ne[0]*ne[2]*ne[3], not ne[0]*ne[2]. This matches how
the imatrix is indexed per row for 4D tensors in llama_tensor_quantize_impl.
Assisted-by: Claude Opus 5.5
* cuda: fuse FFN gate/up and GLU in MMQ with interleaved gate/up rows
For prompt processing, run the gate and up matmuls of a dense FFN as one
mul_mat_q launch and apply the GLU in the write-back.
- The loaders take the gate weights as a second pointer and fill the weight
tile with up and gate rows interleaved in chunks of 8, so each thread holds
an up value and the matching gate value (rows r and r + 8 of an MMA tile).
- The MMA loop is unchanged: same tile, warp layout, vec_dot and one sum[]
per thread. The fused write-back computes the GLU from registers and writes
half the rows.
- The fused path uses the regular tiling (no stream-k) with the column tiles
innermost so that neighbouring blocks share weight tiles.
- Enabled for Q4_K, Q5_K, Q6_K, Q8_0 and IQ4_XS on NVIDIA Turing and newer.
* cuda: assert the fused MMQ gate argument and trim redundant comments
* cuda: move the fused MMQ hint check to should_fuse and add TODOs
* cuda: pass prec_src1 to the fused MMQ write-back
* cuda: fuse only with efficient tiling and no fallback, merge the GLU write-back
* cuda: require has_fusion explicitly, drop the fusion-only src1 precision check
* cuda: launch the fused MMQ kernel through the stream-k kernel with one block per tile
* cuda: inline the MMQ tiling-efficiency check
* tests: one fused gate/up MMQ case per type and GLU op
* cuda: always launch the fused MMQ kernel with one block per tile
* tests: shorten the fused gate/up MMQ test comment
* cuda: select the fused MMQ loader and write-back in ggml_cuda_mmq_get_util_funcs
* cuda: run the fused MMQ kernel on the plain tiling path
* cuda: put the column tiles innermost in the MMQ plain tiling path
* vulkan: Add a larger tile size for conv3d (coopmat2 only)
This adds a larger tile size, in practice it is only for coopmat2 where
we don't need shared memory to store the output (would use more than 64KB).
Add some additional representative backend tests. At least, this is what codex
came up with from looking at sd.cpp Wan VAE.
* only apply large tile size for newer driver versions
WM of the small tiles was 32, or 8 for 8-wide subgroups, whatever the
tile's BLOCK_SIZE and WARP. With 16-wide subgroups (Mali) the second
subgroup of a workgroup wrote into the next tile's columns. With 8-wide
subgroups some _id tiles left rows uncomputed. Derive WM so there is one
warp tile per subgroup.
Tested on my Pixel 9 Android phone. Before the change there were 20
MUL_MAT and 6 MUL_MAT_ID failures. After the change they all pass.
Fixes#28637
Assisted-by: Claude Opus 5.5
* hex-tools: support for --compare option in the profile.py
* hex-unary: improve collapse logic to also do splits if nrows is small
* hex-colapse: handle all colapsing at the host and make it generic
* hex-colapse: remove leftover unary helper
* chat : reject JSON nested more than 128 levels before walking it
The schema builder, the jinja engine and the decision code walk request
JSON with recursion. A request nested deep enough overflows the stack of
the HTTP thread and llama-server dies (SIGBUS on macOS, SIGSEGV on Linux):
for a tool schema from a few hundred levels on macOS and about 10000 on
Linux.
Check the depth first and answer 400 past 128 levels: the chat inputs in
common_chat_templates_apply (tools, tool-call arguments,
chat_template_kwargs, json_schema), the json_schema of /completion, and the
whole /v1/systemone body. A gemma4 tool result that is too deep stays text.
* fix the root, not the call side
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
* model : add DeepSeek-V4.1-Flash (deepseek41)
* deepseek41 : remove MXFP8, convert the Engram table to BF16
* deepseek41 : compute the compressed-KV read layers once in the cache
* deepseek41 : use get_cells() for the shared-history check, drop llama_kv_cache::seq_pos_tok_le
* deepseek41 : gather the Engram rows in-graph like qwen4exp, drop the host gather
* deepseek41 : keep the Engram hash constants in hparams.ple_*, one module per Engram layer
* deepseek41 : drop the LLAMA_DSV41_KV_MIRROR toggle
* deepseek41 : keep il last in build_hc_mixes
* deepseek41 : sort the top-k rows before the sparse gather
* tests : add deepseek41 to the Metal fusion baseline
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* hexagon: KV-head team split for HMX flash attention in multicore
* hexagon: merge FA_HEAD_SPLIT and FA_SPLIT into single GGML_HEXAGON_FA_SPLIT flag
0 = off (token-split only); 1 = head-split, plus team-split when
n_kv_heads < N_cores so stranded cores still participate (e.g. gemma-4
with 2 KV heads on 4 cores). Where heads divide evenly across cores,
plain head-split is used.
The src1 power-of-two rescale in kernel_mul_mm_id is superseded by the
per expert-token amax scaling done in the compute graph
(ref: https://github.com/ggml-org/llama.cpp/pull/30861), which keeps the
MoE down-projection activations within f16 range before the op runs.
Drop the two-stage reduction kernels, their scratch buffer and the
GGML_PREC_F32 dispatch added in https://github.com/ggml-org/llama.cpp/pull/26223,
as well as the test cases that drive MUL_MAT_ID src1 out of f16 range.
Assisted-by: pi:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (MacBook, M5 Max, 128GB)
* ui : move models manager to its own route, keep Discover as a dialog
Models now lives at #/models instead of a dialog. Discover opens as a
standalone dialog over it, and leaving the page returns to the chat it
was opened from.
Assisted by: Claude (Opus 5.5 Medium)
* ui : polish the models page layout and filters
Give the models page a page header with the Discover action, calmer
column labels, tinted section and family headers, and an empty state.
Load the model list on a direct visit, slide the detail pane over the
table below xl, and draw the filter toggles as one box matching the
context select, with room for their shadow.
Assisted by: Claude (Opus 5.5 Medium)
* ui : round the models table family headers
Assisted by: Claude (Opus 5.5 Medium)
* ui : fix models page navigation and Discover gating
Record the models page's way back after every navigation, so Back,
a typed URL or a reload no longer return to a stale chat. Escape
closes the detail pane, then leaves the page. Gate every Discover
entry point on one shared check, recheck the API key on /models,
skip the duplicate router fetch on a direct load, and share the
route load between pages.
Assisted by: Claude (Opus 5.5 Medium)
* ui : show model details in a drawer
Open the models manager's detail pane in a drawer, from the right on
desktop and from the bottom on a phone, instead of an inline side
panel and a full-screen cover. Pad the pane on both sides, drop its
close button on a phone, and assert that filtered rows are gone from
the page rather than merely hidden.
Assisted by: Claude (Opus 5.5 Medium)
* ui : make whole models table rows clickable
A click anywhere on a model or quant row opens it, unless it lands on
one of the row's own controls (load toggle, actions menu). The name
button stays the keyboard path to the same action.
Assisted by: Claude (Opus 5.5 Medium)
Use the dropdown menu surface (border, radius, background, shadow,
padding) for the hover card and the context gauge popup, and fix the
hover card open/close animation to use bits-ui data-state attributes.
Assisted-by: Claude (Opus 5.5 Medium)
The two T4 runners in the ggml-ci group (ggml-6-x86-vulkan-t4,
ggml-8-x86-nvidia-a10) share the same labels and can both pick up the
same jobs, so extend the per-runner results dir from #31046 to them.
Assisted-by: dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (MacBook, M5 Max, 128GB)
The generic scale pass in llama-model.cpp loads the per-expert
NVFP4 scale2 tensors (ffn_{up,gate,down}_exps_s) and the per-tensor
MXFP8 scales for the dense FFN and the shared expert, but
minimax-m3.cpp never forwarded any of them to the graph.
build_moe_ffn() defaults these to nullptr, so build_lora_mm_id()
skipped its w_s branch entirely and the routed-expert weights came
out global_scale times too large, swamping the residual (reported
G ~= 15123 for M3.1 Flash) and producing token soup.
Forward all scale tensors at the three call sites, matching the
pattern used by flint and the other NVFP4-capable MoE models.
Co-authored-by: origin-labs-ai <origin-labs-ai@users.noreply.github.com>
Add test-speculative-rejection-sampling to the ctest -E exclusion list of the macos-latest-arm64 CI job.
Assisted-by: dsh:llama.cpp/ggml-org/Flint-GGUF (RTX 5090 32GB, DDR5 128GB)
The amax POOL_1D reduction spans the whole matmul row, so a device cannot
compute it from an axis-0 split. The Meta split-state case reported
MIRRORED, which gives each device a partial max of its own slice. Drop
that case and deny -sm tensor for the arches which build the amax graph,
see [TAG_MOE_AMAX_SCALE].
Assisted-by: dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (MacBook, M5 Max, 128GB)
* ggml : allow MUL_MAT_ID -1 index to skip the computation
* nits
* update vulkan code
* ggml-webgpu: ensure all threads reach workgroup barriers in mul_mat_id_vec
(cherry picked from commit d8a4b9efb6e2b9abf3a866e847756b7e6bbc6b69)
* fix cuda
* openvino
* exclude CUDA from this PR
* add TODO tag
---------
Co-authored-by: yomaytk <yoshimura.masashi.frbs@gmail.com>
* tests : add speculative rejection draft sampling test
This commit adds a test for speculative rejection sampling test that
excercises the speculative rejection sampling mechanism in
common/speculative.cpp.
The motivation for this is have a test that verifies that the
speculative draft models emitts tokens that match the target models
distribution. So when rejection sampling occurs it should still
produce the same probability distribution as if we directly sampled
from the target model.
Running the test:
```console
$ ctest --test-dir build -R "^test-speculative-rejection-sampling$" \
--n_trials 5000 -V
```
This will generate two models, one target and one draft model.
For subsequent runs use the "fixture exclude any" option to avoid
recreating the models:
```console
$ ctest --test-dir build-cpu-debug -R \
"^test-speculative-rejection-sampling$" \
-FA "^speculative-models$" --n_trails 5000 -V
```
* remove draft model
* ci : fix data race between runners sharing the model cache
Two runners per mac mini share HOME, so concurrent jobs corrupt each
other downloads, converted models and venv under the shared MNT cache.
- gg_wget: download in a temp dir, publish with mv, so readers only
ever see complete files (-N cannot be combined with -O)
- convert, quantize and wikitext unzip now produce under a per-runner
scratch dir in OUT, published to MNT via hardlink when missing
- gguf-split and quantize tests get a per-runner TMP_DIR
- python venv moved from MNT to OUT
- metal, vulkan and webgpu mac jobs pass a per-runner OUT path
Assisted-by: dsh:llama.cpp/agent-qwen4 (RTX 5090 machine)
* ci : clean up scratch models after tests
Assisted-by: dsh:llama.cpp/agent-qwen4 (RTX 5090 machine)
* ci : fix q4_0 publish when a cached model exists
cp -n skips an existing file with exit code 1, so the ln fallback
aborted the qwen3 job under set -e. Publish through a unique temp
file with an atomic mv: readers never see a partial file and a
stale cached q4_0 gets replaced.
Assisted-by: dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (RTX 5090 machine)
* ci : cache-first gg_wget to avoid re-downloads
HF sends no Last-Modified, so wget -N re-downloads the full files on
every run. Skip the download when a non-empty cache file exists: the
HF CI artifacts are static. Downloads still go through a temp dir and
an atomic mv, so concurrent runners never read partial files.
Assisted-by: dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (RTX 5090 machine)
* HIP: add byte permute fallback when __builtin_amdgcn_perm is unavailable
amdgcnspirv rejects target-specific builtins unless they are guarded by `__builtin_amdgcn_is_invocable`, so 66 of 145 HIP files failed to build
Wrap the perm calls in a helper that keeps v_perm_b32 when the target has it and falls back to a portable byte select otherwise
* move perm helper to vendors/hip.h
* mtmd : lfm2 bilinear resize matches torchvision
Lfm2VlImageProcessor and d1-omni vision.py resize uint8 images with
torchvision (antialias=True). That is Pillow's algorithm, except that the
weights are int16 with as many fractional bits as the largest weight allows,
where Pillow uses 22 bits. The Pillow port was 1-2 levels off on about 1% of
the values of the d1-omni and LFM2.5-VL crops.
RESIZE_ALGO_BILINEAR_TORCH rounds the weights of the Pillow port to that
precision and scales them back to 22 bits, which gives the output of
torchvision with the same passes, and "bilinear" maps to it for LFM2 and
d1-omni. Other models keep the Pillow algorithms.
* mtmd : lfm2 bicubic resize matches torchvision
Lfm2VlImageProcessor resizes with torchvision for the bicubic checkpoints too
(d1-3B, LFM2-VL), so "bicubic" maps to RESIZE_ALGO_BICUBIC_TORCH for LFM2: the
Pillow bicubic filter (a = -0.5, as torchvision with antialias) with the int16
weights of torchvision. The Pillow port was 1-2 levels off on about 0.25% of
the values of the d1-3B crops.
* use bitfield, add hparams setter
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Add Soprano-80M and Soprano-1.1-80M (https://huggingface.co/ekwek/Soprano-1.1-80M)
as an audio generation model: a Qwen3 backbone plus a Vocos decoder that runs
as a gen-only mmproj.
- convert: detect Soprano checkpoints and export the backbone as qwen3 and the
decoder.pth Vocos weights as the mmproj
- vocab: add the soprano pre-tokenizer (lowercase, whitespace collapse,
per-digit split, [UNK] fallback)
- mtmd: add the Vocos graph and ISTFT, allow loading a gen-only mmproj for
Soprano and include the gen-audio context in mtmd_get_memory_usage
- mtmd-helper: add the Soprano pipeline; the decoder runs over the whole
utterance, so stream mode sends the audio in one chunk after flush()
- tts: document Soprano usage
Assisted-by: Codex
Assisted-by: Claude Opus 5.5
* hexagon : add SGN support
Assisted-by: OpenCode
* hexagon : optimize SGN with sign bit
Assisted-by: OpenCode
* hex-sgn: add f16
* hex-unary: update SGN to use generic unary_colapse and relax colapse checks to apply to more conditions
* hex-unary: improve dims colapsing and run it in the host-side solver
---------
Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com>
The __builtin_amdgcn_wmma_f32_16x16x16_bf16_w32 (and _gfx12) builtins
take their A/B operands as vectors of short (_ExtVector<16, short> /
_ExtVector<8, short>), not __bf16. Declaring the fragments as
ext_vector_type(N) __bf16 fails to compile:
error: cannot initialize a parameter of type 'short
__attribute__((ext_vector_type(16)))' with an lvalue of type 'const
bf16x16_t' (vector of 16 '__bf16' values)
short and __bf16 are both 16-bit and the value is only ever passed to
the builtin via reinterpret_cast over raw bytes, so changing the element
type is bit-identical. The operand type has been short since the builtin
was introduced, so this works across LLVM/ROCm versions without a
version gate. Fixes HIP builds for RDNA3 (gfx1150/1151) and RDNA4
(gfx1200/1201).
Signed-off-by: Pablo Cholaky <waltercool@slash.cl>
Evan Huus