The hyper-connection and DSA graph builders wrote their extra outputs
(post / comb gates, carried top-k selections, inject gates) through
ggml_tensor** out-params. Return them in a small struct next to the
primary output instead.
Assisted-by: dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (MacBook, M5 Max, 128GB)
Every dst row comes from src0 or src1, or for dim 0 from the row of
src0 followed by the row of src1, so a single kernel covers every
type: a dense source row is one memcpy, quantized types included,
and a strided source is copied element by element with the element
size known at compile time.
Rows are split across threads instead of i2 alone, which is often 1,
and are copied in tiles of 32: for a transposed source the elements
are walked in the outer loop, so the rows of a tile read neighboring
addresses instead of jumping a full row stride per element.
Add transposed b cases to test_concat, the layout of the delta-net
conv input, and a perf case for it.
* sycl: add set_tensor_2d for faster tensor-split loading
Pack host rows into chunks of up to 64 MiB when destination rows are
contiguous, avoiding a separate upload call for each row. Keep the
existing per-row copy path for non-contiguous destinations.
On two Arc Pro B70s with gpt-oss-120b UD-Q4_K_XL, total llama-perplexity
runtime drops from 263-268 s to 114-115 s. A full-load readback check
verified 26,784,256 rows with no mismatches.
* sycl: batch 2D tensor uploads through shared staging slots
Implement set_tensor_2d to speed up tensor-split model loading by
packing rows into the existing pinned staging slots and uploading
each batch with a single device copy.
Share staging initialization with set_tensor and wait only when
reusing a slot, allowing CPU packing and device copies to overlap.
Fall back to per-row uploads for noncontiguous device rows,
oversized rows, or unavailable staging.
---------
Co-authored-by: Jon Staples <250234834+Captain-Tripps@users.noreply.github.com>
* tests: pin model resolution on real repo listings
Extend test-model-resolution with 63 repo listings captured verbatim
from the HF API, chosen to cover every file naming pattern found across
1237 GGUF repos of the major publishers and pruned to whole quant groups.
Each repo pins its resolved plans and its cache listing.
The expectations follow what each file really is per its GGUF header,
not what the current resolver picks, so a mismatch is a resolution bug.
Mismatches are collected and reported together before the test fails.
* tests: leave the listing unchecked on paths the filesystem refuses
Some real split names (DevQuasar's Model.Q2_K.gguf-00001-of-00012.gguf
under a quant folder) exceed MAX_PATH once materialized in the temporary
cache on Windows, so the listing of such a repo is skipped with a note
while its plans stay checked.
* tests: pin real listings to master on GGUF convention names only
Replace the real repo table with 171 HF listings whose file names follow
the GGUF naming convention (lowercase sidecar prefix, - delimited
components, quant last), one per layout pattern found across 1174 GGUF
repos and pruned to whole quant groups. Repos outside the convention are
dropped. Each repo pins the plans and the cache listing master gives
today, so the test is a pure harness: any change in resolution shows up
here, and mismatches are reported together.
test-llama-archs included src/llama-arch.h and src/llama-model-saver.h,
which prevented building on Windows with shared libraries since the
used symbols are not exported from the DLL.
- declare llama_arch_* wrappers around the internal llm_ arch query
functions in the llama-ext.h staging header, together with
llama_arch_kv_name() and llama_arch_supports_save()
- slim llama_model_saver down to the private implementation of
llama_model_save_to_file(): the fixture-writer half used by the test
moves into tests/test-llama-archs.cpp as a local kv_writer
- replace the roundtrip saver usage with the public
llama_model_save_to_file() writing to a temp path (also removes the
tmpfile() fd leak and its Windows workaround)
- move test-llama-archs, test-generate-models, test-llama-context and
test-fusion out of the NOT WIN32 OR NOT BUILD_SHARED_LIBS guard
Assisted-by: pi:llama.cpp/ggml-org/GLM-5.3-Flash-GGUF (2x DGX Spark (RDMA, TP=2))
* 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>
Max Krasnyansky