* cmake: fix CMP0194 warning on Windows with MSVC
Set CMP0194 policy to NEW before project() call in ggml/CMakeLists.txt to suppress the "MSVC is not an assembler for language ASM" warning introduced in CMake 4.1.
The ggml project enables ASM globally for Metal (macOS) and KleidiAI (ARM) backends. On Windows/MSVC, no assembler sources are used, but CMake 4.1+ warns because cl.exe is not a valid ASM compiler.
This follows the same pattern used in ggml-vulkan (CMP0114, CMP0147).
Closesggml-org/llama.cpp#20311
* cmake: apply cisc's formatting suggestion
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Co-authored-by: texasich <texasich@users.noreply.github.com>
* Update register tiling matmul to use f32 accumulation
* fix profiling code
* Fix register tiling matmul for chrome, i'm blaming dawn
* Update batch tuning value for iOS
* compile fix
* Fix use of new load function
* common: skip reasoning budget sampler when no budget is requested
After I added thinking_start_tag / thinking_end_tag for gemma4 in #21697, the reasoning budget sampler gets unconditionally created even when no budget is configured (the default -1). The same applies to kimi_k2, lfm2, lfm2_5, and ministral_3 which also set these tags. The budget gets converted to INT_MAX, so the sampler never actually forces any tokens but still runs per-token checks (start tag matching in IDLE state, token-to-piece conversion + UTF-8 checks in COUNTING state).
More importantly, the mere existence of the sampler (non-null rbudget) disables backend sampling. Backend sampling lets the GPU select tokens directly, avoiding a full logits transfer from GPU to CPU every token. This could explain the 30% speed regression reported in #21784 (98 t/s to 70 t/s on Vulkan).
So I added a reasoning_budget_tokens >= 0 check to the sampler creation condition. When the budget is unlimited, the sampler is not created, backend sampling stays enabled, and no per-token overhead is added. When a budget is explicitly set (0, 128, 1024, etc.), the sampler is created and works as before.
* common: preserve rbudget when grammar is lazy
Following up on the review feedback on #21870: keep the reasoning budget sampler when grammar_lazy is true, so the thinking-block grammar suppression from #20970 still works when tools are in use. This way, we only skip the sampler when both no budget is set AND grammar is not lazy.
* webui: add setting for first-line chat titles
Add an opt-in setting (`titleGenerationUseFirstLine`) to use the first
non-empty line of a prompt as the generated conversation title.
Previously, the complete multi-line prompt was being used, which created
long titles for complex queries. Coupled with
"Ask for confirmation before changing conversation title", the dialog
would overflow.
* Update tools/server/webui/src/lib/utils/text.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Update tools/server/webui/src/lib/utils/text.ts
Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* webui: Run build to update the bundle
As requested in:
https://github.com/ggml-org/llama.cpp/pull/21797#pullrequestreview-4094935065
* webui: Fix missing import for NEWLINE_SEPARATOR
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Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
* Add MCP Connection diagnostics and CORS hint to web-ui
* tidy up test
* webui: Refactor and improve MCP diagnostic logging
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Co-authored-by: evalstate <1936278+evalstate@users.noreply.github.com>
* add qwen3a
* wip
* vision ok
* no more deepstack for audio
* convert ASR model ok
* qwen3 asr working
* Apply suggestions from code review
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* nits
* Apply suggestions from code review
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* fix bad merge
* fix multi inheritance
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Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* mtmd : add MERaLiON-2 multimodal audio support
Adds support for A*STAR's MERaLiON-2 audio-language model (3B and 10B)
to the multimodal framework.
Architecture:
- Whisper large-v2 encoder for audio feature extraction
- Gated MLP adaptor: ln_speech -> frame stack (x15) -> Linear+SiLU -> GLU -> out_proj
- Gemma2 3B / 27B decoder
The mmproj GGUF is generated via convert_hf_to_gguf.py --mmproj on the full
MERaLiON-2 model directory (architecture: MERaLiON2ForConditionalGeneration).
The decoder is converted separately as a standard Gemma2 model after stripping
the text_decoder. weight prefix.
New projector type: PROJECTOR_TYPE_MERALION
Supports tasks: speech transcription (EN/ZH/MS/TA), translation, spoken QA.
Model: https://huggingface.co/MERaLiON/MERaLiON-2-3Bhttps://huggingface.co/MERaLiON/MERaLiON-2-10B
* simplify comments in meralion adaptor
* meralion: use format_tensor_name, ascii arrows in comments
