Sync with upstream ggml-org/master (2026-07-25)#69
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* llama-batch: add unit test * fix win32 builds * add not implemented assertion in unused methods * remove unreachable code
* ggml-et: Add performance logging * ggml-et: Quants helpers * ggml-et: Add MUL_MAT kernel * ggml-et: Add ROPE kernel * ggml-et: Add RMS_NORM kernel * ggml-et: Add GLU kernel * ggml-et: Add SOFT_MAX kernel * ggml-et: Add GET_ROWS kernel * ggml-et: Add CONT kernel * ggml-et: Add SET_ROWS kernel * ggml-et: Add MUL_MAT_ID kernel * ggml-et: Build et kernels as part of ggml * ggml-et: Embed kernels with fs fallback * ggml-et: Build fixes * ggml-et: Add MUL_MAT F32xF32 op * ggml_et: Add MUL_MAT_ID op * ggml-et: Disable offloading for debug * ggml-et: Refactor out block ops * ggml-et: ggml backend API changes * ggml-et: Add RESHAPE/TRANSPOSE to supported * ggml-et: Add CONT_F16 * ggml-et: Add supported ops doc * gglm-et: Initial doc * ggml-et: Remove runtime import hacks We can now import the runtime by a simple find_package(), so we can cleanup the CMakeLists.txt. * ggml-et: Fix GET_ROWS kernel Fix lost batch dimension. Also clean vibe-comments. * ggml-et: Fix SET_ROWS kernel Remove incorrect broadcasting guard. * ggml-et: Use custom instruction for fp32->fp16 * ggml-et: Vectorize set_rows fp32->fp16 * ggml-et: Fix ROPE kernel (yarn) ggml-et: fix et_logf WIP: Fix ramp WIP: fix ROPE! * ggml-et: Better sinf * ggml-et: Fix SOFT_MAX Add `max_bias` and `sink` support. * ggml-et: Fix CONT Reorder from contiguous write to read with atomic stores. * ggml-et: Fix elmap kernel Remainder handlin * ggml-et: Fix MUL_MAT MUL_MAT_ID remainders * ggml-et: Fix ET-SOC reference * ggml-et: Fix embed kernels scripts for old python This allows GGML-ET to build on pre-3.8 python. * Add sysemu support with compile time flag `-DGGML_ET_SYSEMU=ON` (#6) * Example using ET-Soc-1 emulator configuration Example usage: ```bash cmake -B build -DGGML_CUDA=OFF -DGGML_ET=ON -DLLAMA_CURL=OFF -DGGML_CCACHE=ON cmake --build build --config Release -j $(nproc) time ./build/bin/test-backend-ops ./build/bin/llama-server \ --model Qwen3-0.6B-Q8_0.gguf \ --alias Qwen3-0.6B-Q8_0 \ -fa 0 \ --ctx-size 1024 \ --no-warmup \ --host 127.0.0.1 \ --port 8080 ``` * build: proper dep tracking for kernels * support host using MOLD linker * initial multi core GET_ROW F32 implementation * vectorized q8 dequant * wip: cland warning clenaups and initial logging refactor * wip: message default message cleanup * chore: message cleanups * cmake cleanup * migrate to use platform provided functions * cmake back into subdir * support et_print() in kernels * fix: repair kernel building * perf: operations run async by default * debug: proper kernel dep tracking and error detection on kenrel launch * fix: kernel binary dep tracking and fixing get_rows_f32 erroring * perf: back to doing async kernel runs by default * perf: vectorize and parallel device memset * merge matmul work * misc: align allocation and enable all offload * misc: delete deadcode and respect memory limits * fix: repair tensor debug print * fix: loosen RMS_NORM op percision * feat: Q4_0 GET_ROWS * perf: FP32 MUL_MAT using TensorFMA * update limitations * perf: redue L1 load in compute_block_dot_product_q8_0 * feat: save kernel mapping (name to id) when profiling is enabled * chore: memops cleanup * perf: parallelize softmax by rows * perf: vectorize 2nd phase of softmax * perf: ban GET_ROWS from offloaded * perf: vectorize and non-atomic for eltwise ops and sub support * perf: vectorize normal rope * perf: glu runs in parallel * merge: manually merge saqib's work on kernel fixes * perf: more vectorized RoPE * perf: parallelize mul_mat_id * perf: parallelize set_rows_f32 * perf: vectorize softmax * feat: support kernel fusion and fuse RMS_NORM + MUL * fix: mostly resolve test-backend-ops failure in SOFT_MAX and ROPE * fix: bump max rope dims for gemma * feat: GeGLU and SCALE support to fully offload Gemma * perf: faster device memset * feat: get_rows supporting Q4_K and avoid cont cache coherent issues * better F32 MM * feat: NORM for ET backend * feat: SQR for ET backend * feat: UNARY on ET * feat: el_map support broadcasting for ET * feat: SUM_ROWS in ET backend * feat: more ops in ET backend * feat: WKV* operators in ET backend * perf: parallelize operators across cacheline instead of row * perf: parallelize get_rows on cacheline * wip: baseline FlashAttention for ET backend * wip: enough FA and CPY f32->f16 to run llama 3.1 fully offloaded with FA on * feat: f16 x f16 -> f32 MM using matrix engine * wip: f16 FlashAttention using matrix engine * wip: clean up * feat: barriers * perf: optimize FA_F16 in ET * perf: vectorize pack_k_for_transpose16 * perf: prefetch next loop matrix tile * perf: FlashAttention 2nd MM uses TensorFMA and optimizations * cleanup: flashattention reorg * perf: optimizations and fixes * feat: L2SCP API and make FlashAttention support DV = 256 for gemma * perf: parallelize norms beyond single row * feat: GATED_DELTA_NET support and relaxed L2_NORM requirment * feat: loosen RMS_NORM, NORM, ROPE contingous req too * feat: repeat supports brocasting on dim 0 and loosen cont check * feat: FILL and DIAG operator * feat: loosen UNARY support chcek * feat: TRI support * feat: SOLVE_TRI support * feat: basic SET support * feat: loosen CONT req * perf: fp16_to_fp32 use ASM * feat: IMROPE support * feat: PAD support * feat: global barrier * fix: view must live on the same backend as backing tensor * feat: relax CONCAT in ET backend * feat: dead simple CUMSUM implementation * feat: basic SSM_CONV support * feat: loosen CONCAT req * feat: relax GATED_DELTA_NET and add SET support proper * cleanup: cleanup LCM math * feat: SWIGLU single input * feat: SSM_SCAN support * feat: el_map supports non aligned tensors in best effort * feat: basic GROUP_NORM support * feat: loosen MUL_MAT capablities slightly * feat: loosen MUL_MAT and GET_ROWS and add IM2COL * feat: special case for softmax 1x1x1x1 * feat: loosen SOFT_MAX req in ET backend * fix: el_map unaligned acse fixes * perf: optimize zero_acc_vec in flash_attn_ext_f16_me * perf: use hart 1 for packing in MM and FA for FP16 * feat: kernel semaphore * perf: better instruction sequence in FlashAttention * fix: gated_delta_net with proper masking * perf: better parallelization for GATED_DELTA_NET * perf: parallelize SSM_CONV over nr * perf: vectorize SSM_CONV * perf: optimize MUL_MAT for q8 * feat: support Gemma 4 * fix: support multi-device * feat: broader GLU support * feat: unary ops supports view * fix: repair fp16 MM using matrix engine * perf: handle large N GEMV better * perf: better q8_0 MM * perf: better set_rows * add back deleted files * fix: repair after merge * feat: POC version of uberkernel * feat: RMS_NORM in uberkernel * feat: add more kernels into usage * chore: clean up uberkernel compilation * perf: faster flash attention * perf: opt flash attention for large seq length * feat: loosen op bounds. clamp and mean support * perf: vectorize ssm_scan * perf: slightly faster FA * perf: FlashAttention parallel MM and load * perf: fuse Q8 MM and ADD * feat: basic conv kernel for ET * softMAx_test * set_rows_f32 * get_rows and cont * testing * set_rows_exp * Junk addition * Narrowing the issue * Update flash_attn_ext_f16_me.c Focusing FA_ext_f16_me * test * Eviction updated * Detailed cache eviction debug * mulmat * removeal of `BUILD_FOR_UBERKERNEL` flag * cleaning... * fix: balance FCC0 count * feat: implement mul_mat and mul_mat_id for Q4_0 type * optimize uberkernel plan upload * add mul_mat q4 into uberkernel * enable gating flush to just uberkernel * update docs for ET * update op support for ET * et-backend: optimize Q4_0 and Q8_0 mul_mat_id row accumulations * et-backend: specialize mul_mat_id kernels for Q4_0 and Q8_0 * et-backend: fix RoPE YaRN corr_dim formula and handle degenerate inputs * test-backend-ops: add DeepSeek-V2-Lite RoPE test coverage * et-backend: add Q4_0 mul_mat matrix-engine kernel using TensorFMA32 * et-backend: vectorize Q4_0 matrix-engine dequantization * et-backend: support hybrid matrix/vector engine execution for Q4_0 mul_mat tail * et-backend: run partial-N tiles on matrix engine for Q4_0 mul_mat * et-backend: route Q4_0 mul_mat N < 53 to vecdot for better prefill latency * Update uberkernel.c * Update unary_f32.c * gemma 4 * bisect gemma4: enable scale_f32 only * bisect gemma4: +rms_norm_f32 * bisect gemma4: +rms_norm_mul_f32 * bisect gemma4: disable rms_norm_mul_f32 -- BREAKS OUTPUT * bisect gemma4: +rope_f32 (skip rms_norm_mul) * bisect gemma4: +el_map_f32 * bisect gemma4: +softmax_f32 * bisect gemma4: +get_rows_f32 * bisect gemma4: +glu_f32 * bisect gemma4: +mul_mat_f32 +mul_mat_f32_matrix_engine * bisect gemma4: +mul_mat_f16 +mul_mat_f16_matrix_engine * bisect gemma4: +mul_mat_Q8_0 +mul_mat_Q4_0 * bisect gemma4: +flash_attn_ext_f32 +flash_attn_ext_f16_me * bisect gemma4: +mul_mat_id_f32 * bisect gemma4: +sum_rows_f32 * bisect gemma4: +cont_f16 * bisect gemma4: +fill_f32 * bisect gemma4: +unary_f32 (all ops re-enabled except rms_norm_mul) * Update rms_norm_mul_f32.c * bisect2 gemma4 n64: +scale_f32 only * bisect2 gemma4 n64: +rms_norm_f32 +rope_f32 * bisect2 gemma4 n64: +rms_norm_mul_f32 (with ET_UBERKERNEL eviction fix) * bisect2 gemma4 n64: +el_map +get_rows +glu +softmax (skip rms_norm_mul) * bisect2 gemma4 n64: all ops enabled except rms_norm_mul * bisect2 n64: test unary+cont+fill+sum_rows (no mul_mat/flash_attn) * bisect2 n64: +mul_mat_f32 +mul_mat_f32_matrix_engine * bisect2 n64: +mul_mat_f16 +mul_mat_f16_matrix_engine * bisect2 n64: +mul_mat_Q8_0 +mul_mat_Q4_0 * bisect2 n64: +mul_mat_Q8_0 only (disable Q4_0) * bisect2 n64: +mul_mat_Q4_0 only (Q8_0 breaks) * bisect2 n64: +mul_mat_id +flash_attn_ext (skip Q8_0) * run-3: matmul + rms_norm_mul * run-4 * Revert "run-4" * run5 * changes after cleanup * cleanup before upstream * restrict changes into ET backend * move kernel embedding from Python to CMake * move uberkernel gen into CMake * apply clang format * update CMake style * update to match C and C++ style * use source ggml and quant headers instead of ET's * MROPE support * absorb view ops into same branch as none * fix bad rebase * add marty1885 to codeowners * oops * remove redundant newline * fix CI editor warnings --------- Co-authored-by: Vidas <vidas@nuolat.lt> Co-authored-by: Gianluca Guida <glguida@tlbflush.org> Co-authored-by: Gianluca Guida <gianluca@nekko.ai> Co-authored-by: ubergarm <leimgrub@gmail.com> Co-authored-by: SaqibAkram-10xE <saqib.akram@10xengineers.ai> Co-authored-by: Rehan Qasim <rehan.qasim@10xengineers.ai>
…as, remove raw_k repeats in DeepSeek V4 (ggml-org#25370) * llama : make all KQ masks (except the lightning indexer one) f16 if FA is used and remove zero attention bias in DeepSeek V4 * llama : remove dead code that repeats unified raw_k cache for each stream in DeepSeek V4 - no longer needed as raw_k is always non-unified. --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
) downloadConversation serialized activeMessages, the root -> currNode path, so exporting a conversation with edited or regenerated messages dropped every alternate version and kept only the selected one. Fetch the whole message tree via getConversationMessages so the export carries all message versions, matching the multi-conversation export path which already did this. Keep the active conversation as the header source to preserve an up-to-date currNode. Forks are separate conversations, each with its own convId, and are exported on their own.
* ggml : bump version to 0.16.0 (ggml/1559) * sync : ggml
* llama-cli: fix crash on wrong server base url by catching exceptions and graceful exit * review: leaner catch group: json error and standard exception
* server: improve tools, remove apply_diff * improve edit tool * add tools_io abstraction * add tools_io_basic * fix build * move utils to class member * add const
* server: remove loading.html * apply ui changes
Co-authored-by: example name <example@example.org>
* mtmd: deepseek-ocr v1 multi-tile dynamic resolution + unified image-preprocessors for both versions (ds-ocr v1 and v2) * remove hacky API * fuse row into a long image * almost working * adapt to new preprocessor api * rm debugging printf * improve * mtmd: dsocr-tiles fixes (ggml-org#25481) * ds-ocr img-preproc fuse_row tile-drop fix for multi rows and columns images * mtmd drop the duplicate redundant img_end * deepseekocr graph simplify CLS broadcast cleanup * test-deepseek-ocr: relax v1 single-view tolerance; drop trailing prompt space; make DRY opt-in and n_predict model-specific (ggml-org#25486) --------- Co-authored-by: Saba Fallah <10401143+sfallah@users.noreply.github.com> Co-authored-by: Saba Fallah <sabafallah@gmail.com>
* hex-sort: add efficient bitomic sort in hvx regs up to 1024 elements * hex-sort: fix inverted vrors * hex-sort: specialize sort functions for the common cases * hex-sort: add tracing and local context
llama_meta_device_get_split_state() recompiled 29 std::regex on every call. In -sm tensor mode the callback runs once per tensor per token, so this dominated the decode thread in profiling. Mark them static const so they are compiled once. Kept inside the function (local statics are thread-safe since C++11). Patterns are literal and stateless, so behavior is unchanged.
* server: accept null sampling params Extend the schema validation to treat a null value as absent, so clients can send null on nullable params (temperature, top_p, ...) to request the server default. This matches the OpenAI spec and the json_value convention used elsewhere. Add has_field() to skip null in the field eval guards. * has_field -> has_value
…Us (ggml-org#25537) * opencl: add int8 dp4 dense and moe GEMM * opencl: refactor --------- Co-authored-by: Li He <lih@qti.qualcomm.com>
* [Vulkan] Fixes llama-cli breaking over longer promts sizes The llama-cli was breaking for longer promts sizes for q4_0 quantized networks. Causing due to insufficient shared memory. * Removed the un-used Adreno device * Updated matmul for small pipeline.
… lightning indexer (ggml-org#24231) * ggml : add GGML_OP_LIGHTNING_INDEXER that implements DeepSeek V3.2/V4 lightning indexer * ggml : remove scale parameters from lightning indexer OP, add f16 mask parameter * tests : add GGML_OP_LIGHTNING_INDEXER tests * ggml : bump RPC version * chore : check if lightning indexer input tensors are not transposed * tests : count flops instead of bandwidth in lightning indexer test * chore : add missing const * chore : whitespace * ggml : renamed variables in CPU lightning indexer implementation * ggml : fix lightning indexer mask broadcasting * tests : tests for lightning indexer mask broadcasting * chore : whitespace * llama : use GGML_OP_LIGHTNING_INDEXER in DeepSeek V3.2 and DeepSeek V4 models --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
* server: refactoring, remove spipe from server_http_res * wip * remove non-thread-safe rd.stop() call * move server_res_spipe * nits * improve server_stream_create_spipe * server-stream: update dev docs for the improved API --------- Co-authored-by: Pascal <admin@serveurperso.com>
* init stream * add stream for shell tool * add test * nits * update docs
…ggml-org#25157) If a Cuda device has no or limited available memory, the actual call to cudaMemGetInfo() itself can cause a fatal crash due to a cuda out of memory error (there is not enough memory to actually query memory) This causes an issue because we query memory for all devices at startup even if the user isn't trying to use the device for inference. Fix this by making the error non-fatal and assigning zero total/free memory to the device. This will have the downstream effect of the fit algorithm not trying to put any layers on it, which is desired outcome vs hard crashing. this also prevents crashes in cuda enabled builds when user explicitly passes '-dev none'
…or architecture' message (ggml-org#24926)
…ic OpenAI conversion (ggml-org#22536) * server : fix image blocks in tool_result being dropped during Anthropic→OpenAI conversion server_chat_convert_anthropic_to_oai() silently discarded image blocks inside Anthropic tool_result content. This broke multimodal tool outputs (e.g. a tool that returns an image) because the model never received the image. When tool_result contains image blocks, convert them to OpenAI multimodal content parts (text + image_url array). Plain-text results remain simple strings for backwards compatibility. * server : add test for image blocks in Anthropic tool_result conversion
* mtmd: fix silent prompt truncation on embedded NUL mtmd_input_text carried the prompt as a bare const char* with no length, so a NUL byte in message content cut the prompt at the tokenizer boundary and dropped every later message plus the assistant marker, with no log. Add an explicit text_len and thread it through, matching llama_tokenize and the text only path. * cleanup --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
* args: overhaul mmap/mlock/dio into single arg Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * docs: update docs with llama-gen-docs Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * chore: satisfy code quality Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * args: make the `+` sign an actual modifier now Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * chore: general code clean up + comments Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: fix deprecated flags support Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: quick sanity check Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * bench: sync llama-bench argument parsing Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * fix: bugfix variable behaviour + llama-bench lm column size Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: inverse commands should do the opposite instead of doing nothing Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * bench: fix incorrect dash Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * bench: fix missing modifiers for deprecated flags Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * llama: switch back to thread_local Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: switch back to single enum Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * docs: update arg docs Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * chore: fix missing `mlock` from llama_load_mode_from_str + cleanup llama-bench Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * llama: fix mlock not activating Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: add deprecation warning when old and new flags are combined Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: cont add comment for todo in the future Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * docs: sync with upstream Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * docs: re-sync with upstream again Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> --------- Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
…ggml-org#26049) * hex-l2: use dirty ranges for flushing * hex-l2: simplify range based flush logic * hex-l2: optimize dirty range scans * hex-hvx: support for reduce_max_i32 * hex-mm: optimize fused MUL_MAT+ADD to use vtcm for bias when it fits * hex-mmid: optimize mmid row-mapping generation * hex-mmid: optimize mmid row-mapping generation * hex-mmid: optimize mmid row-mapping generation (round2) * hmx-mm: optimize output proc by tiling (col-chunking) * hex-fa: start the next q dmas a bit earlier * hex-fa: prefetch Q even earlier * hvx-fa: optimize softmax to keep things in hvx registers * hex-fa: hoist const register init in softmax loop * hmx-fa: kick off next-qkv DMAs before o-proc * hmx-fa: hoist various checks out of the inner loop * hmx-fa: adjust the cost model to better balance softmax work across hvx threads * hmx-fa: overlap diag rescale build with last HMX task * hmx-fa: optimize idx update in output proc * hmx-fa: unroll the softmax loops for improved perf * hmx-fa: overlap qk-dot with softmax, double-buffer p and s tiles * hex-trace: double the default number of trace entries * hex-trace: add trace events for opbatch and buffer mgmt * hex-trace: overhaul tracing to simplify runtime event handling and support opbatch stats * hex-trace: replace ascii timeline diagram with pipeline bubbles detector * hex-trace: handle missing start/stop events * hex-dma: always log stop/start trace events even for dummy dmas * hex-scripts: fix flake warnings
…f a response schema is provided (ggml-org#26018)
…rs (Settings panel) (ggml-org#26002)
* skill: add new model * add common pitfalls * add code review skill * nits * add codeowners * add security review section * mention about skills in agents.md * add design review * exclude ggml-gh-bot * Apply suggestions from code review Co-authored-by: Piotr Wilkin (ilintar) <piotr.wilkin@syndatis.com> Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com> * conversion-time weight modification * nits --------- Co-authored-by: Piotr Wilkin (ilintar) <piotr.wilkin@syndatis.com>
* support "reasoning_effort": "none" in OAI API * handle reasoning.effort: "none" in OAI responses API * clarify non-"none" values of reasoning_effort have no effect * use json_value instead of body.at
) * ui: fix MCP server display name conflicts in tools lists Tool groups were keyed by display label so two servers reporting the same name broke the keyed each blocks and only one was visible. Key rendering, expand state and toggles by the stable server id instead, and suffix duplicate labels with a counter in config order. * ui: customizable MCP server display name with autofill Add a display name field to the MCP server form, add and edit alike. The custom name takes precedence over the server-reported one, so two servers reporting the same name can be told apart; clearing the field returns to the automatic label. In the add dialog a debounced preview handshake prefills the field with the server-reported name: a manual edit freezes the autofill, stale responses are discarded, failures stay silent, and an unedited prefill is not persisted so the label keeps following the server. * ui: fix recursive fetch passthrough in the client test setup The original fetch was captured inside beforeEach, where it is the previous test's spy since vi.spyOn returns the existing one, so the default passthrough recursed on itself for any URL outside the mocked set. Capture the real fetch once at module load.
* Start building graph - reuse deepseek32 * Enable kv cache and rotation for glm_dsa architecture Just follow Deepseek 3.2 for now. * Reuse prev_top_k for "shared" indexer layers * GLM 5.2 uses LLAMA_ROPE_TYPE_NORM for the indexer. This is transformers' `apply_rotary_pos_emb_interleave` * Default indexer types to GLM pattern Previous converted GGUFs like https://huggingface.co/unsloth/GLM-5.2-GGUF write indexer weights to _all_ layers, even if they are only required for "full" types. This PR relies on a new key "%s.attention.indexer.types"; if absent, it will use the default GLM 5.2 schedule as defined in https://huggingface.co/zai-org/GLM-5.2/blob/main/config.json#L26. Note that conversion is not saving this key yet. * Save indexer types to gguf, restore on load * Use ggml_lightning_indexer when cparams.fused_lid Co-authored-by: fairydreaming <166155368+fairydreaming@users.noreply.github.com> * GLM 5 and 5.1 use full indexers Co-authored-by: fairydreaming <166155368+fairydreaming@users.noreply.github.com> * Fix indentation * Ensure array is zero-filled * Prefer explicit std::fill * Assert prev_top_k exists for shared indexer --------- Co-authored-by: fairydreaming <166155368+fairydreaming@users.noreply.github.com>
* ui: remove viewport fade in and smooth autoscroll bottom snap fadeInView mounted every message and markdown block at opacity 0 and relied on an IntersectionObserver to reveal it. When the observer never fires (blocks mounted offscreen during long agentic loops) the content stays invisible forever while still present in the DOM. Remove the action, its orphaned isElementInViewport util and all call sites: blocks now render visible immediately. AutoScrollController.scrollToBottom defaulted to behavior smooth and is invoked every 100 ms while streaming. Each tick restarts an easing animation toward a moving scrollHeight, producing a random elastic bump of a few pixels when the user reaches the bottom and autoscroll reengages. Default to instant scrolling; the user facing scroll down button keeps its smooth behavior. * ui: skip rendering of offscreen chat messages via content-visibility Apply content-visibility auto with contain-intrinsic-size to chat messages so the browser skips layout and paint for messages outside the viewport. The DOM stays complete: component state, find-in-page, text selection, and the mutation based autoscroll are unaffected, and browsers without support simply ignore the properties. * ui: remove conversation switch fade Switching conversations faded the message list out and in over 500 ms plus a 300 ms route delay, deferring the message refresh behind two requestAnimationFrame calls. Remove the fade, its navigation hooks and dead state, and refresh messages directly so switching is only bound by actual render time. * ui: describe present behavior in comments and drop unused parameter * ui: anchor the context gauge popup to the form with plain CSS The stats card was portaled to body and repositioned in script on every ancestor scroll event, trailing the page by one frame while streaming. Render it as an absolutely positioned sibling of the input box inside the already relative form, so nothing runs during scroll. The card sits just above the dial, centered on it and overlapping the textarea, from a single measurement of the dial center and top taken when it opens; the dial and the card share the same positioning frame, so the values stay exact while the card is open. Mouse pointers open on hover with a grace delay to reach the card, touch pointers toggle on tap, any press outside the card and the dial closes it, and Enter and Space toggle from the keyboard. The card lives outside the input box because its overflow-hidden and backdrop-filter would clip any positioned descendant. * ui: extract context gauge popup constants and relocate its state store Move the placement values and the close grace delay to lib/constants/context-gauge-popup.ts, matching the auto-scroll constants layout, and move the popup state module from the component folder to lib/stores where runes modules live in this codebase. * ui: declare the context gauge popup card ref as $state
* performance harness - the empirical root Assisted-by: Claude Opus 4.8 * 210.36ms -> 2.67ms per streamed token Assisted-by: Claude Opus 4.8 * 11.58ms -> 0.62ms per streamed token Assisted-by: Claude Opus 4.8 * 22.02ms -> 3.33ms per streamed token Assisted-by: Claude Opus 4.8 * 3.07ms -> 1.36ms per streamed token at 40 messages Assisted-by: Claude Opus 4.8 --------- Co-authored-by: Zach Winter <dmtommy@icloud.com>
…et sampler (ggml-org#25544) * common : extract trie/ac to a separate file * common : support multiple token sequences in the reasoning budget sampler * common/trie : return matched word index * common/trie : rename "word" to "pattern" * common/reasoning-budget : expose matched end sequence * common/sampling : replay end sequence when reasoning budget is done * cont : update to use multiple end sequences * cont : clean up
…gguf_writer_base (ggml-org#25867) Without a virtual destructor, deleting a derived object through a base-class pointer only invokes the base destructor, skipping the derived one.
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
… in generation_settings (ggml-org#25830) These two parameters were overlooked when task parameters were being JSONized within `generation_settings` and have been added. A regression test has been added to prevent the problem from recurring and it passes. Fixes ggml-org#25803
The INI parser creates an implicit default section for top-level metadata. After reserved keys such as `version` are skipped, that section can have no model options but was still added and exposed in router mode. Skip only the empty implicit default while preserving real default presets, named presets, and the global `[*]` settings. Signed-off-by: JS van Dijk <267467744+hogeheer499-commits@users.noreply.github.com> Co-authored-by: JS van Dijk <267467744+hogeheer499-commits@users.noreply.github.com>
…am-20260725 # Conflicts: # README.md
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Summary
upstream/master(ggml-org/llama.cpp) into a fresh branch offorigin/master— brings in 179 upstream commits.README.md; restored our ROCm deprecation-warning README (kept our 4-line version, not upstream's full README).upstream/master.Test plan