* ggml-cpu : compute f32 gelu_quick and geglu_quick without the fp16 table
* ggml-cpu : keep the GGML_GELU_QUICK_FP16 table path
* ggml-cpu : add the VXE gelu_quick path
* tests : add test-gelu-quick for the f32 CPU kernels
* tests : drop inf/nan inputs from test-gelu-quick
* llama : scale moe down projection per expert token
Replace the global amax rescaling for the MoE down projection with a per-expert-token factor computed by a POOL_1D max reduction along the intermediate dimension. Undo the scale on the output with the same exact power-of-two factor. Handle POOL_1D in the Meta split-state logic so a split along axis 0 becomes a replicated per-device partial result, enabling tensor parallelism.
Assisted-by: pi:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB)
* cont : simplify comments
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* llama : refactor amax src1 scaling result
Return the rescaled activation and the optional scale tensor through a small struct instead of an output pointer.
Assisted-by: pi:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB)
* cont : add TODO + clean-up
* mtmd: add audio out stream api
* add /tts endpoint
* add docs
* wire up mtmd_helper_model_can_chat
* upload speaker_ref via form-data
* expose seed to api
* fix header for pcm
* wip
* fix penalty_last_n
* fix server_output_limits
* fix pocket-tts stream
* wip
* add server_schema for tts
* add server routing
* server: coerce seed and stream from multipart form fields
Form fields arrive as strings, so -F seed=42 and -F stream=true were
rejected by the schema. seed joins the integer fields, parsed as a long
long so a full uint32 seed fits, and stream is read as a boolean when
it comes as a string.
---------
Co-authored-by: Pascal <admin@serveurperso.com>
* server: add realtime transcription API
* drop transcription_sessions
* proxy ws
* add docs
* server: let the API key middleware guard the websocket
httplib runs the pre-routing handler before the websocket upgrade, so
the API key middleware answers 401 at handshake like any other route.
This covers the router proxy, whose children run keyless, and accepts
the same key forms as HTTP (Bearer, raw key, X-Api-Key).
* server: keep realtime slots out of the prompt loop
A realtime slot waiting for audio is GENERATING with nothing to decode,
so it fell through the prompt loop and took slot_batched. A request on
a higher slot then failed can_batch_with on the task type and starved
for the whole session. Realtime slots have no prompt: the loop sets
them up once and always leaves them.
* server: start the realtime session once its slot is live
The audio stream was created in the prompt loop, which skips a slot
that cannot batch with the one generating, and session.created went out
before the task was posted: early appends failed and the reader quit,
leaving the socket open and the slot held until the HTTP timeout.
The slot now sets up its stream at launch and signals it with the begin
result, session.created waits for it, and a reader that stops closes
the socket so the session ends with it.
* server: name the committed item in input_audio_buffer.committed
Per the Realtime spec, item_id is the item made from the committed audio
and previous_item_id the one committed before it, null for the first.
committed now comes before the transcript that completes that item, and
both go out with the item switch under one lock, so a delta cannot land
between them.
* server: use the GA transcription session shape
The session object follows the GA Realtime schema: type transcription,
with the input format, transcription model, turn detection and noise
reduction under audio.input. The rate stays the model sample rate, which
is what the client must send for now.
---------
Co-authored-by: Pascal <admin@serveurperso.com>
* llama : move LFM2 shortconv and FFN blocks into a shared LFM base
* Update src/models/lfm-base.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* return logprobs in spec path
* server: add regression test for logprobs with speculative decoding
Asserts accepted draft tokens report the target model's logprobs,
comparing a draft-enabled run against a no-draft baseline (#24271).
Fails on master (top_logprobs empty, logprob 0.0), passes with the
fix from #27196.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KARBWpPcijcBXzJEvttuwk
---------
Co-authored-by: Jeonghyun Lee <sig.jhl@gmail.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
* mtmd : lfm2 tiles stretch the image to the grid
Lfm2VlImageProcessor.crop_image_to_patches resizes the image straight to
(512 * rows, 512 * cols) before it cuts the tiles. llama.cpp kept the aspect
ratio and added black bars for LFM2 (only d1-omni stretched), so the tiles of
d1-3B and every LFM2-VL / LFM2.5-VL model differed from transformers unless
the image had the aspect ratio of the grid. With PAD_NONE the tiles are the
same as in transformers.
* mtmd : lfm2 layout with Python rounding in double precision
Lfm2VlImageProcessor.smart_resize rounds with Python's round (half to even)
and computes beta and the tile grid aspect ratio in double. llama.cpp used
std::round and float, so 31926 of the 16.7M sizes in [1,4096]^2 got another
thumbnail size or grid than transformers (and d1-omni vision.py), e.g.
400x600 -> 416x608 instead of 384x608 and 720x1600 -> 2x5 tiles instead of
2x4. The lfm2 smart resize and grid choice now follow the Python code and
match it on every size of that range.
* fix
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
* model : add H2O-Lightning-4B decision model
Adds the h2o-lightning decision type for h2oai/h2o-lightning-4b
(Qwen3.5-4B with a merged decision LoRA).
None of the existing types match this model. It answers with " A"
rather than "A", uses up to 255 labels, and was trained on Python
json.dumps text, so floats like 12.0 must render as 12.0.
The converter writes the decision metadata and the systemone template
from the model's serve_config.json and refuses a config that doesn't
match. Tests skip unless the tiny test model is available locally.
Assisted-by: Claude Opus 5.5
* rm redundant code
* put labels to gguf
---------
Co-authored-by: Jonathan C. McKinney <jon.mckinney@h2o.ai>
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
* Router wasn't propagating the client disconnects fully to the child, the response wait could cause a delayed cancellation
* tests: satisfy router disconnect type check
* server : remove timing-sensitive router cancellation test
Assisted-by: Codex
* server: include output_index in Responses API SSE events
* server: reuse Anthropic streaming code for fix output_index
* server: remove unnecessary generated_tool_call_ids and oai_resp_tool_calls_started
* mtmd : read LFM2 tiling params from GGUF metadata
Write min_tiles, max_tiles, tile_size and max_pixels_tolerance from
processor_config.json when converting LFM2-VL mmproj, read them in clip.cpp
with the previous constants as defaults. do_image_splitting=false maps to
min_tiles=max_tiles=1 (no tiling).
Rebased version of #25524, original implementation by Michael DM (@michael-dm).
Co-authored-by: Michael DM <usable_siren180@simplelogin.com>
* fix test
---------
Co-authored-by: Michael DM <usable_siren180@simplelogin.com>
* metal : optimize argmax and pool_1d
Add a two-pass partial reduction for large-row argmax and use cooperative threadgroup reductions for pool_1d. Allocate scratch space for the argmax partials through the Metal buffer allocator.
Assisted-by: pi:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB)
* tests : add pool_1d perf cases
Add representative POOL_1D max cases for the MoE down-projection amax shapes, reducing the whole intermediate dim.
Assisted-by: pi:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB)
* cont : minor fix
* model : drop the redundant precision overrides in the Kolibri-1 router
Follow-up to the review in #30673: the router matmul works with the
default precision, so both ggml_prec_set_* calls can go away.
Assisted-by: pi:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (MacBook, M5 Max, 128GB)
* cont : fix comment
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
---------
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
* opencl: fix OOB read in `mul_mv_mxfp4_f32_flat`
* opencl: remove large-N guard that forces CPU weight placement
* this condition claims that large batch produces incorrect results on
adreno and cannot be reproduced
* model loader uses N512 to probe op support, resulting in cpu fallback
* thus this condition does not seem necessary
* opencl: cap num of subgroups by workgroup size for q4_0 mc3
Co-authored-by: Hongqiang Wang <wangh@qti.qualcomm.com>
* opencl: add small batch variant for q4_k dp4a GEMM
Co-authored-by: Hongqiang Wang <wangh@qti.qualcomm.com>
* opencl: add a narrow variant of mul_mm_f16_f32_l4_lm
Co-authored-by: Hongqiang Wang <wangh@qti.qualcomm.com>
* opencl: add a one subgroup variant for gemv_noshuffle_q1_0_f32 for big M
Co-authored-by: Hongqiang Wang <wangh@qti.qualcomm.com>
---------
Co-authored-by: Hongqiang Wang <wangh@qti.qualcomm.com>
The __ARM_NEON branch defines both GGML_CPU_COMPUTE_* macros but selects
only FP16_TO_FP32, so FP32_TO_FP16 falls through to the portable
software conversion while neon_compute_fp32_to_fp16, a single fcvt,
stays defined and referenced by nothing. __POWER9_VECTOR__ and
__riscv_zfhmin select both.
Add an #error pair that refuses a branch defining a COMPUTE macro
without selecting it. That is how this stayed unnoticed: the fallback
silently supplies a correct software implementation, so the only
symptom is a hardware instruction nothing ever reaches. The
FP16_TO_FP32 half carries a !defined(__F16C__) carve-out, because PR
30343 keeps that direction on the lookup table on purpose.
Replace the comment above the fallback: it singled out NEON and POWER9
and pointed at a selection that now happens in the branch itself.
* spec : save the dynamic ngram cache file
* save the cache at the common_speculative_impl_ngram_cache destruction
* remove save_static/save_dynamic flags as well as the relevant TODO
* if the dynamic cache file does not exist, start with an empty cache
that is written on exit. if it exists but cannot be read, abort
instead of overwriting it.
* spec : fix draft_one not updating the ngram cache history correctly
* common_ngram_cache_update received only the new tokens with none of
the tokens before them causing ngrams ending at the new token to not
being formed, leading the context cache to only ever hold the prompt
* fix: pass the full history to common_ngram_cache_update with nnew set
to the number of new tokens the way llama-lookup does and also reset
cache_size to 0 on each new request
---------
Co-authored-by: Petros Sideris <petros.sideris@nokia.com>
* server : pass id_slot through the Anthropic /v1/messages conversion
server_chat_convert_anthropic_to_oai copies a small whitelist of common
params from the Anthropic request into the internal OAI-style body and
left id_slot out. Every other completion endpoint honours id_slot; a
proxy that pins a session to the slot holding its KV cache needs the
same on /v1/messages, or it silently falls back to automatic slot
selection and, on hybrid/recurrent models, pays a full re-prefill.
Adds a test asserting a request with id_slot set is served by that
slot, observed via GET /slots.
* server : shorten comments
* rm test
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
* tests : make MoE router selection independent of the backend noise
The router scores are in the range [0, 1), so a random draw can leave the
last expert (or expert group) still selected and the first one dropped tied
within the noise between the backends. They then route a token to different
experts and the logits differ by 4e-3 instead of the usual 5e-7.
Beam is the only arch here with a real top-k (8 experts, 2 used) and a group
top-k (4 groups, 2 used), so it is the only one that hits this: 2 of 20 seeds
failed on an M2 Ultra, the other MoE archs select 2 of 2 and cannot tie.
Fill the selection bias with a ramp of step 2 to give every expert a score
range of its own, which turns the top-k into a function of the expert index
alone. The bias affects only the selection, the weights still come from the
unbiased probs, so the MoE output keeps its magnitude. Beam now matches the
CPU reference within 4e-7 for all of 160 seeds.
Assisted-by: pi:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (MacBook, M5 Max, 128GB)
* tests : tell the CPU and the GPU of an Apple SoC apart in the device table
Both devices report the same description ("Apple M2 Ultra" here), so the
device column of the test table had two indistinguishable rows and a failing
row did not say whether the Metal device or the host CPU produced it.
Add the device name, which is also what -b takes, unless the description
already is the name.
Assisted-by: pi:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (MacBook, M5 Max, 128GB)
* hex-build: bump toolchain, enable v85
* hex-build: bump toolchain to v0.8 in the CI and build scripts
* hex-build: add a little python script for swiv needed on some iot devices
* hex-build: fix flake8 warnings
* hex-arch: update version cap to v85
* hex-inspect: flexible TOOLS_ROOT
* hex-build: update to snake_case naming
* hex-build: update leftover old toolchain refs
* hex-target: update build and run scripts to support ubuntu with adb transport
SearchInput already renders its own clear button.
Hide the browser's native search cancel button to avoid showing both controls.
Fixes#28627
Signed-off-by: aiqubits <aiqubits@hotmail.com>
* init
* wip
* wire it up
* make it clear that it's experimental
* add props.connect_code
* nits
* fix windows build
* server: do not advertise a connect code without the tunnel
--connect-code on its own had no effect other than being served in
/props, so the Web UI showed a remote access code that no tunnel was
serving. Clear it when --connect is off, and say so once at startup.
The teardown comment claimed that terminate() closes the child stdout.
It does not: the log thread leaves fgets() only once every writer of
that pipe is gone, so a descendant of llama-connect would block the
join forever. Describe the real contract instead.
Also restore the --reasoning-preserve default in the generated docs.
* Update tools/connect/CMakeLists.txt
Co-authored-by: Adrien Gallouët <angt@huggingface.co>
* server: dial llama-connect on the bound port and a reachable host
Pass ctx_http.port so --port 0 and the GCP override work, pick the
dial host from --host (wildcards map to loopback, IPv6 is bracketed)
and refuse --connect when only unix sockets are bound.
---------
Co-authored-by: Pascal <admin@serveurperso.com>
Co-authored-by: Adrien Gallouët <angt@huggingface.co>
Evgen MykhailenkoandGeorgi Gerganov
Aman Gupta
Niklas Wenzel
Max Krasnyanskyandhubezhou
lhez
Neo Zhang
Titaniumtown
bosh
Anant Shrivastava
Ben Ashbaugh
Unbug Lee
Xuan-Son NguyenandPascal
Tarek DakhranandGeorgi Gerganov
Takamichi Ohara
Yuri KhrustalevandXuan Son Nguyen
TANGBUDUandTANGBUDU
Me42019
Renzis
Bernard Ladenthin
uvos
Aaron Teo
Peter SiderisandPetros Sideris
Bálint Bokros
Peter van VelzenandXuan Son Nguyen
Caladrel
Christian Kastner
tkran2
Michael Taylor
aiqubits
Sam MurdochandSam
Mendy Berger
