* common : read a GGUF's trained context from its metadata
common_get_gguf_n_ctx_train opens only the file's metadata (no_alloc,
like common_get_decision_type) and reads <arch>.context_length, so a
caller can learn the trained context without loading the model. It
accepts both u32 and u64 values and returns 0 when the file is missing,
unreadable, invalid, or reports no context length.
Assisted-by: pi:zai-org/GLM-5.3-Flash
* server : report the trained context in the models listing
update_caps already resolves the model file offline to read its
modalities, so it now reads the trained context from the same GGUF
metadata, and GET /models reports it as context_length when it is
known. A router listing then carries the context without any Hub
request, which lets the UI sort and filter by it offline.
Assisted-by: pi:zai-org/GLM-5.3-Flash
* ui : take the trained context from the models listing
The router now reports context_length per model, so the option mapping
fills contextLength from it and the manager reads it before the Hub
record. The Context column, the context sort and the context filter
then work with the Hugging Face Hub API turned off. A browser suite
guards the sort and the search, the Hub-cache driven context filter and
the re-sort when details arrive after the sort was clicked.
Assisted-by: pi:zai-org/GLM-5.3-Flash
* ui : mark favorite models with a heart
A favorited model shows a rose heart in the selector even before its
row is hovered, and the crossed heart takes its place on hover, so
unfavoriting stays one hover away. The manager table marks its
favorited rows with the same heart after the badges and capabilities.
Assisted-by: pi:zai-org/GLM-5.3-Flash
* fix: UI text nit
* fix: UI nits
* fix: Favorite models grouping in models table
* feat: Remove sorting from Status column in Models Table
* server: read the GGUF metadata once per model
Read the decision type and the trained context in a single GGUF open,
accept only a UINT32 context length like the model loader, and reset
n_ctx_train with the other caps so a failed refresh drops it.
* fix: Post-review fixes
---------
Co-authored-by: Pascal <admin@serveurperso.com>
* ui : add the drawer, sheet and grouped list primitives
Add the drawer and sheet overlay components, the toggle and toggle
group, the shared searchable input, the collapsible sections and the
grouped list, and the near viewport helper they position with.
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* ui : add the shared model components and data layer
Add the model row pieces shared by the selector and the manager, the
models store with its download status feed, the huggingface and
migration services, and the model utils, enums and constants they
read through.
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* ui : rework the models selector around its providers
Group the selector components under their own folder, rework the list
around the provider grouping, add the mobile trigger and the download
item, and derive the selection state in one hook.
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* ui : add the models manager
Add the manager table with its repo, quant and status rows, the
filters and the toolbar, the row actions in a drawer, the downloads
section, the manage models dialog and the stories and tests.
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* ui : rework the chat form actions and the mobile experience
Move the add actions into a drawer and a sheet, float the model
actions in a bar on a phone, open the context panel in a drawer, and
derive the attachment, reasoning and tools menus in hooks.
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* ui : move the mcp servers to the sidebar rail and tidy the dialogs
Move the mcp servers dialog to the sidebar rail with its menu
entries, even out the dialogs on a phone, and group the mcp and
settings stores behind their own modules.
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* ui : polish the shell
The secondary button gets its own look back and the chat add button its
own light surface. Pressable elements get a pointer cursor again, the
font rendering smooths on the app shell, and the agent skills stay out
of prettier's way.
The root layout props probe rework that came with this polish reads the
providers api url and stays with the providers change instead.
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* ui : wrap the model id classes
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* ui : load the model the new chat CTA picks
Start a new chat selected the model but left it unloaded, so the chat
opened against a server with nothing in memory. Both CTAs share a load
helper now.
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* refactor: Post-review fixes
* server : preserve context checkpoints across slot save/restore
Append the checkpoints after the packed server_tokens payload added in #26640
and count them in n_written / n_read, so a restored slot can still roll back to
a checkpoint instead of re-processing the whole prompt.
* server : drop draft checkpoint data that does not match the draft context
Restoring a slot saved with a different draft KV cache type aborted in
load_dft(). Test-load one draft checkpoint on restore and drop the draft
data if it does not fit, instead of crashing. Adds a regression test.
Co-authored-by: Igor Okulist <okigan@gmail.com>
* server : harden the checkpoint appendix of slot save files
Bound each blob size by the bytes left in the file before allocating, open the
file with UTF-8 paths on Windows like the llama state payload, fall back to full
prompt re-processing when a checkpoint restored from a slot file fails to load,
and replace the 1024 count cap by keeping the last n_ctx_checkpoints while reading.
* server : report an incomplete checkpoint appendix as a failed slot save
Return an error to the client when the appendix cannot be written, like a
failed payload write, and make the oversized-blob test declare a size that
cannot be allocated, so an unbounded allocation fails the test.
* server : reject an empty target state in the checkpoint appendix
A saved checkpoint always holds a target state, an empty blob would roll back
without restoring anything. Also log with the slot id, and load the draft test
model from the HF cache instead of a second download.
* common : return bool from checkpoint load_tgt / load_dft
A checkpoint restored from a slot file falls back to full prompt re-processing
when it fails to load, a checkpoint created in memory still aborts.
---------
Co-authored-by: Igor Okulist <okigan@gmail.com>
* model : add LiquidAI/d1-omni-600M decision model
Assisted-by: Claude Opus 5.5
* mtmd : keep conformer GLU sigmoid on CUDA
Assisted-by: Claude Opus 5.5
* server : take d1omni audio through images and input_audio, scope memory-less lfm2 to non-causal
Assisted-by: Claude Opus 5.5
* common : rename decision type d1omni to lfm2-d1-omni, server : make images an alias of files
Assisted-by: Claude Opus 5.5
* model : add LiquidAI/d1-3b decision model
mtmd : read LFM2 image resize algo from GGUF
Assisted-by: Claude Opus 5.5
* common : rename decision type d1 to lfm2-d1
Assisted-by: Claude Opus 5.5
* server: support vision input for Clef
* move input_attn_causal to private
* extend old server_batch::embd
* server_batch::token::pos to multi dim
* nits
* fix abort
* fix img tokens cap
* fix yield_to_queue mutate data
* server: reject partial media truncation
* server: keep only the keep_first fix
Drop the mtmd test helper change, which no longer builds since
clip_image_f32_batch stores its entries by value, and drop the
vision test: no test fixture reaches a cut between two adjacent
media chunks with a reused cache (tinygemma3 uses SWA and wraps
images in text tokens, tinyopenjev and small-test are recurrent),
so the test passed or failed independently of the fix.
---------
Co-authored-by: Pascal <admin@serveurperso.com>
* log, server: make router child lines carry their own colors
The logger writes the color reset after the trailing newline, so the
reset opens the next line. On the shared pipe of a router child it lands
in front of the next state command, which the router then misses, and
the line break that works around it shows up as an empty log line on
every progress update.
The reset now goes before the trailing newlines, so every line is self
contained and the command goes back to its plain framing. The router
passes its effective color setting to its children, whose output ends
up in its terminal, and leaves that option out when comparing presets
on reload.
* log: enable ANSI colors on the Windows console
A Windows console renders ANSI sequences only in virtual terminal mode,
which nothing turns on for the logger, so llama-server prints raw escape
codes on the Windows 10 console while llama-cli, whose console code
enables it, shows colors. The logger now enables virtual terminal mode
on stdout and stderr when it turns colors on, and keeps colors off when
a console cannot render them. Pipes and files take the sequences as is.
* server: separate the router child commands from its logs
The child sent its state commands on the same pipe as its logs, so the
router had to pick them out of the log stream by a line prefix, and any
unterminated write in front of a command made the router miss it. This
resolves the TODO at the spawn that called for splitting stdout and
stderr.
The child now keeps stdout for the commands and points everything else
written to stdout at stderr, before anything is written. The router
reads both pipes, handles the commands from stdout and forwards stderr
as the log, and warns about any other line on the command pipe.
* server: address review from ngxson
The single server_child is now created first in the entry point and its
constructor keeps stdout for the commands, so the stream is a member of
the instance instead of a static, and init() is gone. The instance is
passed down to the server, while the CLI entry point creates its own.
* Update tools/server/server.cpp
---------
Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
* Make the drafter probabilistic and the target verify by rejection sampling
* Drop stale spec_draft_q before drafting
* Fallback to argmax sampling for grammar-constrained requests and adding flag for enabling probabilistic draft sampling. Default flag value is greedy.
* Support grammar-constrained requests in rejection sampling
* Fix - renormalize distribution after masking
* copy rng on sampler copy and re-accept drafted tokens on replay
* Fix draft sampler sharing the target's rng stream
* Simplify the rejection sampler's inputs and move replay to the server
* Truncate the draft candidates along with the draft
---------
Co-authored-by: praneshgo <227579474+praneshgo@users.noreply.github.com>
Co-authored-by: Pranesh Gonegandla <pgonegandla@nvidia.com>
* init conversion
* convert: ok
* model loaded
* add server code
* improve conversion script
* support shared prompt prefix
* add docs, imorove UX a bit
* add vision support
* add openjev tiny model for testing
* add dev docs
* support lev & kev
* clean up
* fix lev noul
* fix py lint
* nits docs
* clarify about not supporting date_facts
* cli: exit on stdin EOF and drop the console wide Ctrl+C broadcast
On Windows the simple input reader sends CTRL_C_EVENT to every process
attached to the console when stdin reaches EOF, killing unrelated
processes such as a supervising agent. The CLI only stopped on EOF
because of that self inflicted SIGINT; on POSIX, and with the advanced
reader, it spins forever printing prompts.
Drop the broadcast so both platforms just return an empty read, and
treat an empty read as EOF in the chat loop and the model selection,
since a submitted line always ends with a newline.
* cli: keep the newline of a trailing "/" and stop mtmd-cli on EOF
A lone "/" came back as an empty read and was taken for EOF, and
mtmd-cli only stopped on EOF through the removed broadcast.
* ui : shared model display primitives
Extract ModelCapabilityIcons (canonical Tools/Reasoning/Vision/Video/Audio
order) out of ModelId and reuse it there, add the shared DialogConfirmDownload
for destructive download actions, the discover org avatar with dark-mode
inversion and the thin download progress bar, and rework ModelId badges to take
thinking/tool-use support directly.
Assisted-by: pi:GLM-5.3-Flash
* ui : remember hub avatars that failed to load
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* ui : render shared model row hints as native titles
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* ui : fix badge guard for draft sidecars, keep parameter precision
hasBadges now counts draft sidecar badges, so a sidecar-only model still
renders. Billions keep one decimal for hub counts and stay bare for whole
values. Avatar failures track the org instead of the instance, and the
download progress bar no longer pulses while determinate.
Assisted-by: pi:zai-org/GLM-5.3-Flash
* ui : model download pipeline
Track HuggingFace downloads end to end: the server download/cancel endpoints,
a status manager fed by the /models/sse download progress events, and a
models-discover store holding the catalog and detail state for the discover
view. Downloaded and in-flight entries are excluded from the loadable model
list.
Assisted-by: pi:GLM-5.3-Flash
* ui : route sidecar tag lookup through the sidecars util, validate the paused list
Assisted-by: pi:zai-org/GLM-5.3-Flash
* ui : model memory-fit estimation
Replace the raw runtime-memory estimate with the app's compatibility check:
the smallest real Mac memory tier that fits a model file, budgeted as
RAM x 0.75 minus fixed overhead with headroom on the file size. The constants
move to lib; the unused runtime-memory estimate is dropped. browser-info's
OS detection is exported for reuse.
Assisted-by: pi:GLM-5.3-Flash
* ui : cover the memory-fit and tool-use heuristics in tests
Assisted-by: pi:zai-org/GLM-5.3-Flash
* ui : Hugging Face Hub data layer
Add HuggingFaceService and its constants/enums/types: GGUF repo search, file
tree and model detail fetching, quant/sidecar filename analysis, shard-set
collapsing and the llama.app catalog feed, plus an orgOf() helper on the model
name utils.
Assisted-by: pi:GLM-5.3-Flash
* ui : strip provider tilde prefix from hub avatar urls
Assisted-by: pi:llama.cpp/DeepSeek-V4.1-Flash
* ui : trim redundant comments in the HF data layer service
Per review: drop JSDoc that restates the method name and inline comments
that restate the code; keep only comments carrying non-obvious context.
Assisted-by: pi:zai-org/GLM-5.3-Flash
* ui : harden the HF data layer error typing, cover the helpers in tests
Carries the HTTP status on retryable fetch errors instead of matching the
message text. Marks expand-dependent catalog fields optional and documents
the data/models index pairing. Adds table tests for the pure helpers.
Assisted-by: pi:zai-org/GLM-5.3-Flash
* ui : model id grammar for sidecars, quants and capability parsing
Extend the shared model id parser with sidecar tokens (draft variants and
auxiliary imatrix/mmproj files), weight-file and custom-quant regexes, and add
the tools capability to ModelCapabilities; the selector option row picks it up
from the model's declared capabilities.
Assisted-by: pi:GLM-5.3-Flash
* ui : escape sidecar tokens in the regex alternation
Assisted-by: pi:zai-org/GLM-5.3-Flash
* ui : type-safe API types, fetch helpers and download-ready models store plumbing
Assisted-by: pi:GLM-5.3-Flash
* ui : document the model list index pairing, fix an em-dash
Assisted-by: pi:zai-org/GLM-5.3-Flash
* Update tools/ui/src/lib/components/app/chat/index.ts
Co-authored-by: Pascal <admin@serveurperso.com>
---------
Co-authored-by: Pascal <admin@serveurperso.com>
* Rebase GLM-Next support onto master, and migrate to llama-memory-hybrid-idx
* Add initial MTP support
* Merge branch optimizations. Reduce allocated compute buffer size, speed up long context decode, fla, and slight MTP improvements.
* Review driven changes, remove env vars, protect tensors
* Strip MTP for initial PR
* Clean up after mtp strip
* Clean up after mtp strip
* Update speculative.cpp
* Update llama-context.h
* Clean up after mtp strip
* Fix tokenizer ignore merges
* Improve quantization protection selection
* Refactor mhc helpers, graph base
* Lint Fixes
* Apply suggestions from code review
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
* Skip glm5-next in model saver, fix CRLF
* Skip glm5-next in sweep
* Remove T4 fallback
* Review cleanup
* Review suggestions
* Defer separate MTP gguf handling to MTP PR, drop filter
* Repad n_head_kv
* kpool init apply
* Order by descending score
* Drop guard
* read kpool from hparams, clarify kpool cache flags, remove kpool_build_state(nullptr)
* Add glm5-next support to model saver and add arch test fixture
* Review cleanup
* Kpool pooled caching clarify
* Add multi stream support
* Finish Rebase
* Sparse FA fir DSA prefill
* Const
* Update llama-model.cpp to fix rebase error
* gguf-py : merge tensor map entries for HC tensors
* model : use build_gdn_l2_norm in GLM5_NEXT implementation
* chore : remove trailing whitespace
* model : use new OP precision setting API in GLM5_NEXT implementation
* mtmd : use ggml_swiglu_clamp in GLM5V and apply the image token limit
The two clamps around swiglu_split are what ggml_swiglu_clamp already does,
so the clamp bounds collapse back to one value. GLM5V also never called
set_limit_image_tokens(), so --image-max-tokens had no effect.
Assisted-by: Claude Opus 5
(cherry picked from commit 46d18e12d422be4cc04a70e4a9a9e0168bb3d5b7)
* llama : keep the GLM5-Next k-pool layout across ubatches
The layout was rebuilt from a full cell scan on every ubatch. Pools are fixed
by the positions relative to the sequence's first one, so the layout now lives
on the memory and a ubatch only appends to it.
A sequence edit no longer stales every pooled key either, only the ones at or
after the edited position, which makes a tail seq_rm free. The pooling subgraph
is built unconditionally so the graph shape no longer changes every kpool
tokens, and the pool axis is folded into rows before soft_max, which otherwise
exceeds the CUDA gridDim.y limit past n_kv 262144.
Assisted-by: Claude Opus 5
(cherry picked from commit 5d1c40b93e17fddbf73b785efe43e0d02ccb3977)
* model : write the GLM5-Next recurrent rollback checkpoints
The conv state and the delta net state were only written to the live row, so a
rollback restored whatever the checkpoint rows happened to hold. Take the same
route as kimi-k3: build_recurrent_attn for the state, and write all K_rs conv
groups. That also drops a state view that assumed contiguous rows.
Enroll the arch in test-recurrent-state-rollback, which catches this under its
garbage-filled cache pass.
Assisted-by: Claude Opus 5
(cherry picked from commit 5ace37e86d5d448e83ef5dde5632c748185b18cd)
* llama: fix PR #27773 test-save-load-state restore failure
Clear the attention and indexer cache data after a failed hybrid state restore so restored NaNs cannot affect a later sequence.
Assisted-by: Codex
* llama: fix PR #27773 gpu-rocm graph reallocation
Reserve the full GLM5-Next pool capacity and dirty pool count. The gpu-rocm Test step aborts when n_new grows while the graph node count stays fixed; CUDA, Vulkan, Metal, and WebGPU checks report the same error.
Assisted-by: Codex
* llama : fix GLM5-Next k-pool layout staleness after edits and shared teardown
Two defects in the cross-ubatch k-pool layout added by the k-pool commit:
1. Wrong results. An edited sequence only rebuilt its pool layout when its cell
count changed, so if the first ubatch after an edit added back exactly as many
cells as were removed, the stale position-to-cell list survived. With a unified
cache and more than one sequence, where another sequence takes the freed cells,
the reused layout points at the wrong cells (CPU: large logit drift, CUDA: NaN).
Rebuild whenever the sequence is stale, not only on a size mismatch.
2. Slowdown. "shared" mode was assumed to end only with an edit that forces a
rebuild, but sharing also ends when the other sequence is removed. The survivor
kept shared = true, pinning cache_safe off and re-pooling every pool on every
ubatch (server trigger: n>1 completions with -kvu, via the seq_cp in
copy_state_to). In seq_rm, if the layout has shared cells, stale every sequence
so one rebuild re-derives sharing and cache_safe returns to 1.
Assisted-by: Claude Opus 5
* llama : fix build_attn_mha stream stride for non-contiguous q
build_attn_mha split the batch into streams with a stream stride of
q->nb[3]/n_stream. That only equals one stream's span, (ne[2]/n_stream)*nb[2],
when q is contiguous. GLM5-Next is nope-only, so it does not concat a rope part
and passes the permuted q_absorbed straight in, where nb[3] != ne[2]*nb[2]; the
stride was then n_head times too large and every stream s >= 1 read another
head's queries. Split-KV (-np N without --kv-unified) multi-stream prefill was
wrong for every stream past the first. Unified KV and decode were unaffected
(n_stream == 1, and decode takes the gather path). Other MLA models concat rope
so q is contiguous and the computed value is unchanged for them.
Compute the stride from the token dimension, which is identical for a
contiguous q.
Assisted-by: Claude Opus 5
* llama : re-derive GLM5-Next k-pool sharing on state_read/state_drop
The shared-cell teardown added to seq_rm (stale every sequence when the layout
has shared cells, so a survivor does not keep shared = true and pin cache_safe
off) was missing from the other paths that can free shared cells: state_read
and state_drop staled only the one sequence. Apply the same re-derivation there
and correct the comment that claimed sharing ends only via an edit or seq_rm.
Assisted-by: Claude Opus 5
* quant : drop duplicate GLM5-Next hc_ filter
The hc_ name filter was listed twice in the GLM5_NEXT protection block.
Assisted-by: Claude Opus 5
* glm5-next: scope K-pool cache access to indexed operations
* glm5-next: keep K-pool access in hybrid index memory
* glm5-next: keep mHC graph builders model-local
* glm5-next: mark only touched pools per ubatch
---------
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co>
Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com>
Co-authored-by: Piotr Wilkin <ilintar@gmail.com>
With --path or --no-ui, /sw.js returned 404, and a 404 does not remove a service worker, so browsers kept showing the cached built-in UI. Serve a worker that unregisters itself, clears its caches and reloads open tabs. A sw.js in the --path folder is still served first.
Assisted-by: Claude Opus 5.5
Mikolaj Kucharski
Xuan-Son Nguyen
Aleksander GrygierandPascal
Martin Emrich
Aldehir Rojas
Simon Sudarushkin
Aman Gupta
Leebr Data ConsultingandIgor Okulist
Tarek Dakhran
Terrence Zhao
yarikandyarik
Adrien Gallouët
Giovanni Rivera
Yufeng HeandPascal
Sam Malayek
Kushal Garg
Marlon Paz
Emanuil Rusev
Georgi Gerganov