- The cached-model listing tagged any repo with a model_index.json as
text-to-image, so a community pipeline the image loader's trust rule refuses
still got a row in the Images picker, and a detected-but-untrusted video repo
fell through to that same tag. Gate the image tag on the load path's rule and
hide an untrusted video repo outright.
- A routed diffusion pick only carries a GGUF filename, which is all the chat
picker has, so a curated single-file artifact arrived with no quant and was
loaded as a pipeline: from_pretrained on a repo with no model_index.json. Pass
the page's own catalog spec into the route pick, so a routed pick resolves to
exactly what a direct pick on that page resolves to.
- The dataset mutation endpoints checked is_active() and only then handed their
filesystem work to a thread, so a start reserving in that gap changed captions
or removed images underneath the preflight or the running trainer. The
interlock is now registered for the whole request under the lock reserve()
uses, and a start refuses while a mutation is open rather than waiting on it.
- GIF export held every kept frame as a paletted image before encoding; a clip
may be 2048x2048 for 1024 frames, and at the 12 fps target the step is 1, so
one export click could allocate over 4 GB and take the backend down. Downscale
past 720 px and widen the step to keep at most 300 frames.
- seed accepted any Python int, so an out-of-range one passed every preflight,
evicted the resident models, spawned the trainer and only then died in
torch.manual_seed. Bound it to torch's 64-bit range in the request and config.
Four fixes from the latest review round:
- The GPU arbiter's chat evictor only cancelled the llama.cpp side. The
orchestrator publishes active_model_name once its worker reports success, so
an in-flight safetensors load was visible only as an entry in loading_models
and finished onto the GPU after ownership had transferred. Cancel every
pending load, and give the safetensors branch the post-load ownership recheck
the GGUF branch already had.
- A manual gpu_layers=0 GGUF load runs on the CPU with the GPUs hidden from the
child, yet it took the arbiter unconditionally: it cancelled a running image
or video generation for a model needing no VRAM, then held CHAT ownership so
the next GPU workload unloaded it for nothing. Gate the acquire on the same
predicate the launch-time CPU-only mask uses, as the image and video loaders
gate on their resolved device.
- The staged-download hook subscribes per repo, not per job, so another job on
the same repo advanced the staged queue (starting a load whose scoped files
were still downloading) or wiped a queue that was still running. Compare the
variant each callback carries, like the chat page's auto-load does.
- The video gallery fetched every record of a page into an object URL that
lives until the page closes: 50 clips at tens to hundreds of MB each, for
cards the user may never scroll to. Fetch a clip as its card nears the strip's
edge, plus the selected one the player needs.
Three from the latest review.
The video download plan always asked for the wide base file list, so an LTX-2.3
pick staged the 2.0 base's VAEs, vocoder and connectors that the checkpoint
supplies itself, while the companion files the 2.3 assembly does read were left
out of the plan and pulled inline at load, outside the panel's progress, cancel
and disk preflight. The plan now recognises a 2.3 pick by name (the load keeps
the authoritative header probe, and under-guessing only falls back to the
load-time pull), narrows the base list, and stages the extras in the same entry
as the checkpoint so one repo stays one scoped job.
A pick routed from the chat picker arrives as ?model= and ?quant= with no picker
metadata, so a bare local .gguf or .safetensors was loaded as a pipeline: an
explicit model_kind wins over the backend's filename sniffing, so it evicted the
resident model and then failed on the missing model_index.json. Both pages now
derive the load kind from the path, the same way their own picker handlers do.
A torchao int8/fp8 build takes adapters only at load time. Switching artifact
inside one family keeps the LoRA selection, since the family did not change,
but the load did not bake it, so the next generation was rejected with 'reload
the model with the adapter selection' while the picker still showed the adapter
as active. The selection is now dropped once per resident build, with a message
saying to pick and load again.
Five fixes from a review pass over the diffusion work.
delete-finetuned rmtree'd a model the Images or Video engine was holding: every
guard on that route is chat-only, and Images loads any local path, so deleting a
local diffusion model under the storage root pulled the weights (and the
companion VAE / text encoders sd.cpp re-reads each generation) out from under a
live pipeline. The cached-model route already refuses this; the trained/exported
one now does too, matching by path rather than repo id, and failing open on a
chat-only install so it cannot block ordinary deletes.
A staged download finishing while its page was hidden loaded the model and
evicted whatever the user was actually using: both diffusion pages stay mounted
behind the router and a load takes the GPU unconditionally. The pick is now held
until its page is on screen again, which is also what chat does.
A scoped download could report success having fetched nothing. With Hugging Face
metadata unavailable no manifest is written, so verification is a no-op, and
snapshot_download returns an existing snapshot folder without downloading when
its own repo_info call fails. A repo already on disk from a full snapshot job
(which ignores *.gguf) therefore completed with no weights and auto-loaded
against them. The requested file list needs no network, so it is checked against
the disk directly.
The XET to HTTP retry reclaimed the job slot without the scoped file list, and
that claim overwrites the stored record, so a later identical scoped start
compared an empty list against the real one and 409'd instead of adopting the
running download.
The DiT accelerator gate probed torch.mps.is_available(), which only exists from
torch 2.5 while the supported floor is 2.4. All three probes shared one
try/except, so on torch 2.4 the AttributeError read as 'no block' and a CPU-only
host still evicted the resident pipeline, downloaded the encoders and died in
the child. Each accelerator is probed on its own now, through
torch.backends.mps.
The assertion pinned the exact single-line call handleVariantClick(v.quant,
v.downloaded, expectedBytes, v.filename), but the handler takes (quant, filename,
downloaded, sizeBytes) and prettier wraps the call across lines, so the mandatory
repository test job failed on every push. Match the call structurally and assert
the filename really is forwarded in the handler's argument order.
Resolves the app-sidebar conflict: main added Hub and Projects rows
inline while this branch renders the nav from navRows in the order and
pin state set under Settings -> Appearance. Kept the data-driven
rendering, having checked both of main's additions are already
represented there - the projects row carries the same icon, label,
active check, handlers and inline New project button.
Main also replaced the sidebar's inline name field with
NewProjectDialog, which owns its own state, so the button no longer
resets a name draft: it sets the move target and opens the dialog, as
main's other call sites do.
Chat cannot load one, so it was either hidden or failed on load. The unfiltered
picker now lists on-device diffusion models and navigates to the page that runs
them, passing the repo and quant so that page loads it.
LM Studio, ./models and custom-folder rows ignored it, so the Images picker listed
chat GGUFs that 400 on a diffusion load. The backend already tags every local model
with a task for this purpose.
A GGUF entry went out as a full snapshot, whose ignore list drops *.gguf: the job
finished at once having fetched only docs, and the repo landed on device unloadable.
Every entry is scoped now. The Hub also no longer tags image/video models as
unsupported (they run on their own pages), and those pickers name what they select.
They downloaded inline inside the load, so they had none of the manager's disk
preflight, manifest verification, resume or panel progress. Picks now stage as
scoped jobs carrying the loader's own file list, then load from a warm cache.
The quant rows never forwarded the .gguf filename, so every hub GGUF pick on
Images/Video fell through to a silent return. On Train the top bar now picks the
training base instead of a generation model, which is GGUF-only and untrainable.
* Fix the CPU-only ROCm routing errors and two font-scale UI flakes
Two unrelated causes of red CI on every PR, both reproduced before fixing.
ROCm routing: 12 errors on Repo tests (CPU). The spoof reports an AMD GPU, and
unsloth_zoo pulls in bitsandbytes, which picks a compute backend at import. Once
torch looks like a GPU is present, bnb loads its ROCm/CUDA ops, which a CPU-only
torch cannot satisfy (no libhipblas.so.2, no torch._C._cuda_getCurrentRawStream),
so the child died before printing RESULT. Nothing here tests bitsandbytes, so
import it first, under the honest hardware. Reproduced in a CPU-only torch venv:
11 passed with 12 errors before, 23 passed after. Still 23 passed on a CUDA build.
Font-scale UI: the select-viewport step pressed ArrowDown six times behind fixed
sleeps, but Radix moves focus into the listbox after the content opens, so on a
loaded runner the keys landed on the trigger and nothing scrolled. Wait on the
overflow and press until it moves, bounded at 40. The same fixed-sleep pattern
made open_appearance miss the dialog when the shortcut fired before the app wired
its handler; alternate both chords on a bounded retry and wait for the control the
caller is about to drive.
Both were reproduced locally by running the suite against a real Studio under full
CPU load. Original: 2 of 10 passed, with the exact CI signature 'keyboard did not
scroll the select viewport: 0' five times. Fixed: 10 of 10.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Keep the ROCm routing assertion live on Apple Silicon for PR #7469
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* guard llama.cpp prebuilt against out-of-disk instead of doomed source build
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* address review comments on out-of-disk guard
* keep reusable installs and Windows parity in the out-of-disk guard
* preserve the ENOSPC cause when re-raising fallback errors
* catch out-of-disk before the attempt loop and accept all llama-server layouts
* Fix out-of-disk detection gaps and false positives for PR #7420
Follow-ups found while testing the guard against a real ENOSPC (LD_PRELOAD
shim returning errno 28 under a path prefix, real network, real release):
- hydrate_source_tree retried the next mirror after an ENOSPC and only raised
on the last URL. Both source fallbacks 404 for the published mix commit, so
the reported cause was HTTP 404 and the run fell through to the source build
exactly like before the guard. Stop at the first environment-fatal error.
- The 5 GB preflight rejected hosts that install fine. A full CUDA install
peaks at 0.87 GB, the largest published bundle is 0.77 GB and macOS is
0.01 GB, so at 3 GB free the install succeeded before and exited 4 after,
with the source-build fallback suppressed too. It is now advisory, and a
real ENOSPC still exits 4. This also drops the case where an install
matching an older release plan was rejected before its reuse check.
- ENOSPC raised inside shutil.copytree arrives as shutil.Error with errno
None and no __cause__ or __context__, so it was never classified. That path
covers the hydrated source tree, the runtime overlay and the activation
fallback copy.
- _causal_chain followed __context__ even when __suppress_context__ was set,
so `raise ... from None` over an unrelated ENOSPC reported disk full and
wrongly suppressed the source build.
- TemporaryDirectory now ignores cleanup errors: an rmtree failure on the way
out replaced the in-flight SystemExit and lost EXIT_NO_SPACE.
- setup.sh skips the arm64 CPU last resort after exit 4; it re-ran the same
disk-rejected installer and buried the hint under a second error dump.
- The in-app updater turns exit 4 into a readable message instead of
"installer exited 4" plus a log tail.
Adds tests/studio/install/test_llama_prebuilt_no_space.py covering the
classifier, the advisory warning and the exit codes.
* Fix Python 3.9 breakage and Windows disk-full detection in the out-of-disk guard
Found by running the guard across the whole supported interpreter range
(requires-python is >=3.9,<3.15) and a spoofed [Linux, WSL, macOS, Windows] x
[NVIDIA, AMD, CPU] host matrix.
- TemporaryDirectory(ignore_cleanup_errors = True) is 3.10+, so the previous
commit raised TypeError at install time on 3.9 and turned a working install
into a hard failure. Replaced with a scratch_dir() contextmanager built on
mkdtemp plus rmtree(ignore_errors = True), which behaves the same on every
supported version.
- getattr(exc, "winerror", None) crashed on 3.9. urllib's HTTPError is an
OSError that proxies unknown attributes to a wrapped file object and raises
KeyError, which getattr does not swallow, so any mirror 404 during an install
would have blown up inside the classifier. Read it defensively instead.
- Classify Windows disk-full by winerror as well as errno. CPython's
PC/errmap.h maps ERROR_DISK_FULL (112) to ENOSPC but has no case for
ERROR_HANDLE_DISK_FULL (39), which arrives as EINVAL, so a Windows
os.replace() onto a full disk read as an ordinary failure and fell through to
the source build.
Tests cover both winerror codes, a non-disk winerror, and HTTPError alone and
wrapped in a PrebuiltFallback. 116 simulation cases pass on 3.9 through 3.14.
* Classify quota, flattened Windows and validate-install out-of-disk for PR #7420
- EDQUOT counts as out of space: a quota'd home has free blocks this user
cannot have, so the source build is just as doomed. Reported separately so
df does not mislead. Confirmed end to end with a real kernel EDQUOT: the
installer went from 6 retries then a source build (exit 2) to exit 4.
- Match the flattened Windows disk-full text. copytree stringifies each
per-file OSError, and OSError.__str__ returns early on winerror, so the
text reads [WinError 112] and never [Errno 28]. Captured on a real NTFS
volume. Markers are bracketed so WinError 112 does not match WinError 1120.
- --validate-install now exits 4 on a full disk. It caught PrebuiltFallback
and exited 2 before the classifier ran, and setup.sh answered 2 by deleting
the GPU build that had just succeeded and starting a CPU rebuild that needs
more of the space that ran out. Both halves are needed: the call site only
tested nonzero.
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* Tighten comments in the llama.cpp out-of-disk guard
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- start_training forwards resume_source_run_id to _start_training_impl, which
reads it. Without it every start raised NameError.
- Restore main's anchor in the load-marker order test: the file now has an
earlier `if config.is_gguf:`, so indexing the first one compared the wrong
branch.
- The two diffusion tests that reach diffusers now skip when it is absent,
matching the CPU repo-test env.
- The UI smoke finds nav rows that live in the sidebar's More flyout.
* fix(studio): support hostname-based enterprise proxies
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix(studio): strip userinfo from proxy fetch targets
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Co-authored-by: Lee Jackson <130007945+Imagineer99@users.noreply.github.com>
* ROCm/AMD CI coverage: arch-table parity, native-Linux lib prepend, RDNA4 grouped_mm, discovery-based shell suite
Three merged ROCm fixes shipped without tests, and the CI wiring that
would have run them was gated on files the fixes do not touch.
Tests added (113):
tests/studio/install/test_rocm_arch_table_parity.py (27)
diffs the four duplicated gfx -> AMD pip-index tables across
install.sh, install.ps1, studio/setup.ps1 and install_python_stack.py,
plus the GPU-name -> arch tables and the torch 2.11 pin allowlist.
tests/studio/install/test_rocm_native_linux_lib_dirs.py (26)
covers #7233: system-ROCm lib dirs prepended ahead of bundled
libggml-hip, the /dev/kfd + not-WSL + libhsa gate, the opt-out env
var, root resolution order, and source parity between the two copies.
studio/backend/tests/test_grouped_mm_rdna4_fallback.py (46)
covers #7292: registration on the CUDA dispatch key, grouped and
ungrouped numerics, bias/dtype promotion, and the Linux HIP<7.13 +
RDNA4 name gate, executed from the shipped source rather than a copy.
tests/studio/test_ci_shell_suite_coverage.py (14)
fails if either shell runner goes back to a hardcoded list or skips
a file without a recorded reason.
CI wiring:
studio-backend-ci.yml: add install.sh / install.ps1 to the path filter
(the suites it runs assert against those two files, so install-only
changes -- the shape most AMD/ROCm routing fixes take -- skipped it),
and replace the 13-file hardcoded shell list with directory
discovery. That list had fallen seven files behind, including
test_strixhalo_wsl_reroute.sh, the only shell coverage of the ROCm
WSL reroute, which had never run on a PR.
tests/run_all.sh: same discovery loop so local and CI agree.
* Test review fixes: assert on outcomes, not on the code under test
Self-review of the previous commit found four tests that passed for the
wrong reason.
1. The arch-table parity test pinned expected gfx ids copied out of the
shipped tables, which enshrined three upstream inaccuracies as
correct: RX 9070 (non-XT) is gfx1201 not gfx1200, RX 7800 XT is
gfx1101 not gfx1100, and PRO V710 is gfx1101 not gfx1102 per AMD's
ROCm compatibility matrix. The expectation is now the AMD pip index
leaf -- the thing the tables exist to produce, and what a wrong
answer costs the user. The three known drifts are listed explicitly
with a test asserting they stay cosmetic, i.e. that the wrong and
right ids still map to the same wheel index. That test turns red the
day one of them starts routing users to the wrong wheel.
2. The RDNA4 device-name test extracted the regex from worker.py and
then matched with it, so it could not fail. Widening the pattern --
the dangerous edit, since it forces the slow Python mm fallback onto
RDNA3 users -- would have been silently accepted. It now reads the
live pattern and checks it against fixed cases, plus asserts the
name match stays guarded by `not _lin_arch` and that the name is
lowercased before matching.
3. The CI-coverage test matched a verbatim line of studio-backend-ci.yml,
so reindenting the step would fail the build while a real regression
to a hardcoded list could slip past a reformat. It now parses the
YAML, finds the step by name, and asserts on the glob plus the
absence of individual filenames. The path-filter test likewise reads
the parsed trigger instead of scanning raw text.
4. A set comprehension in the parity helper had a ternary whose branches
were identical.
Mutation-tested: widening the RDNA4 regex, desyncing one copy of the
name table, dropping install.sh from the path filter, and re-skipping
the ROCm WSL shell suite each fail at least two tests. Verified on
Linux (WSL Ubuntu 24.04) with CI's torch pin: 86 + 48 pass.
* Fix three wrong gfx ids in the GPU-name arch tables
The name -> gfx tables disagreed with AMD's ROCm compatibility matrix on
three entries. Corrected against the "Radeon GPU" list at
rocm.docs.amd.com/en/latest/compatibility/compatibility-matrix.html:
RX 9070, RX 9070 GRE gfx1200 -> gfx1201 (Navi 48, same die as the XT)
RX 7800 XT, RX 7700 XT gfx1100 -> gfx1101 (Navi 32, not Navi 31)
PRO W7700 gfx1100 -> gfx1101
PRO V710 gfx1102 -> gfx1101 (Navi 32, not Navi 33)
No wheel changes for anyone: gfx1200/gfx1201 both resolve to gfx120X-all
and gfx1100/gfx1101/gfx1102 all resolve to gfx110X-all, in all four copies
of the index-family map. That collapse is why the errors survived being
copied into six places -- the leaf-level tests could not see them.
It was not purely cosmetic, though. install.sh's second copy feeds
"Tip: set UNSLOTH_ROCM_GFX_ARCH=<arch>", so a 7800 XT user following the
printed advice exported gfx1100 and made a wrong id authoritative for
every later run. It would also have become a real misroute the moment AMD
split a family across index leaves, as they already do for gfx1151/gfx1150.
Fixed in all six places, which is two more than the table's own "kept in
sync with" comments claim exist:
install.sh _infer_amd_gfx_arch_from_gpu_name
install.sh case "$_gpu_disp_mkt" (banner + env tip; undocumented)
studio/setup.sh
install.ps1
studio/setup.ps1
studio/install_python_stack.py
Ordering is preserved: the gfx1102 arm still precedes gfx1101 in the shell
copies so "RX 7700S" cannot fall onto the "RX 7700" glob, and the
PowerShell copies keep the (?!S) lookahead.
Test changes:
- test_rocm_arch_table_parity.py gains _AMD_DOCUMENTED_ARCH, exact gfx
ids transcribed from AMD rather than from the tables. Agreement between
six copies proves nothing when all six were transcribed from the same
mistake, so the ground truth has to come from outside. Verified it
catches the bug: against the pre-fix tables it fails 6 tests.
- The parity check now covers all six copies. It had four; the two
install.sh copies were being treated as one, and
_WIN_GPU_NAME_ARCH_TABLE was not checked at all.
- test_rocm_support.py's TestGfxArchNameFallback pinned two of the wrong
ids as expected values; updated, and extended with a 9060 XT and a
7900 XTX case so each RDNA3/4 die is represented.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Guard against unregistered copies of the GPU-name arch table
Counting the copies by hand is what let them drift: the in-code "kept in
sync with" comments claimed four, the arch-id fix found six, and scanning
the tree turns up a seventh.
TestNoUnregisteredArchTable rediscovers the copies from the source tree
instead of trusting a hand-maintained list. A table line is one that names
a card and gives its arch; real tables score 9-17 such lines and the only
other hits in the repo are two single-line prose comments, so the
three-line threshold is not load-bearing. A companion test asserts the
scan still finds the known copies, so the heuristic cannot go blind and
pass by finding nothing.
The seventh copy is tests/_zoo_rocm_spoof.py, the fixture other ROCm tests
build their fake AMD host from. It states the mapping backwards (gfx ->
the name torch should report), which makes it an independent witness: it
had gfx1101 -> RX 7800 XT and gfx1201 -> RX 9070 XT right while all six
installer copies were wrong, and nothing compared the two. Now they are
round-tripped against each other.
RX 6700 XT is pinned as a known divergence rather than normalised. AMD's
compatibility matrix documents no consumer RX 6000 card and no gfx1031 at
all, the installer arm is commented "gfx103X family", and gfx1031 appears
only as an index-family key, never as a value a name table emits. With no
external source to correct against, changing shipped behaviour would be
guesswork. A test fails if the divergence ever disappears, so the
exemption cannot go stale.
Also adds the reverse of the AMD-matrix check: a documented card that
matches no arm anywhere is a silent CPU fallback rather than a wrong id.
This cannot detect hardware nobody transcribed, which would need a live
fetch of AMD's matrix and a non-hermetic suite; the docstring says so
rather than implying coverage that is not there.
Verified on Linux: 478 passed, plus all five new guards mutation-tested
to confirm each fails when its invariant is broken.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Docstring said six copies; the list under it now has seven
* tests: run discovered shell tests with bash, not sh
tests/run_all.sh discovered tests/sh/ instead of listing files, but still
invoked each one with sh. Every file there declares a bash shebang, and on
Debian/Ubuntu /bin/sh is dash: test_apt_distro_prompt.sh,
test_studio_home_node_dir.sh and test_with_llama_cpp_dir_link_behavior.sh
fail on bashisms under dash and pass under bash. The old hand-written list
happened to name only dash-clean files, so switching to discovery is what
surfaced it. Backend CI already used bash, so this was a local-only break.
Guarded by a new test asserting both runners invoke tests/sh/ with bash.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Fix Krackan Point (Radeon 860M/840M) routed to the gfx1150 wheel index
The GPU-name tables map 860M/840M and the Ryzen AI 7 350 / AI 5 340 CPU
strings to gfx1150, but Krackan Point is gfx1152. AMD's own lemonade table
(src/cpp/server/system_info.cpp) maps both Krackan iGPUs to gfx1152.
Unlike the three ids already fixed here, this one is not wheel-neutral:
repo.amd.com publishes gfx1150 and gfx1152 as separate index leaves with
separately built torch wheels, so these laptops were installing wheels
built for a different LLVM target. gfx1152 was absent from the codebase
entirely, so it needed the index-family maps, the torch 2.11 floor lists
(same _grouped_mm bug as gfx1150/1151), the Strix reroute set and the
Windows arch allowlist as well as the seven name tables.
The parity test added in this PR did not catch it because its AMD-matrix
expectations stopped at 890M/880M. Added the APU rows, so the case that
actually changes a wheel is now covered: reverting the tables fails 9
tests naming 860M, 840M and Krackan.
gfx1153 (Ryzen AI 5 430 era) is left alone; AMD publishes no gfx1153
wheel family, so there is nothing to route it to.
Verified: bash -n on both shell installers, PowerShell AST parse on both
.ps1 files, python ast.parse on all touched modules, install suite 1334
passed with no new failures against main, shell suite 20 files.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Add gfx1152 to unified-memory classifiers, make parity allowlist set-based
Krackan Point (gfx1152, Radeon 860M/840M) is the third RDNA 3.5 APU and
shares one GPU/system-RAM pool exactly like Strix Point (gfx1150) and
Strix Halo (gfx1151), but only the installers knew about it. The two
runtime classifiers still had two-element arch sets, so a Krackan laptop
got the 0.90 discrete headroom factor on a shared pool and ran llama.cpp
without GGML_CUDA_ENABLE_UNIFIED_MEMORY.
- worker.py _rocm_classify_unified_memory: add gfx1152 to the arch set,
and 860m/840m to the device-name fallback. The NVIDIA GeForce 840M
cannot collide there: the function is only reached under _hw.IS_ROCM.
- llama_cpp.py _amd_apu_wants_unified_memory: add gfx1152 to the arch set.
- Tests for both, including the :sramecc-:xnack- suffix form.
TestGfx211AllowlistParity compared four hardcoded allowlist strings, so
adding gfx1152 to all four installers correctly turned three assertions
red without any installer actually disagreeing with another. Each test
now extracts the set its installer holds and compares it to one EXPECTED
constant. Order and spacing are free, membership is not, and the next
leaf is a one-line edit instead of four.
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* fix(studio): honor run settings on initial model load
When loading a model from the gear-icon run-settings page, Context Length
and KV Cache Dtype were ignored if the user clicked Load before blurring
the context field, or before React flushed staged config into the store.
- Add NumericValueInput.commit() to flush a focused draft on Load
- Pass effectiveLoadConfig from model-config-page to onRun
- Prefer selection.config in performLoad for all load knobs
- Preserve meta.forceReload from the config-page reload path
Fixes#7346
* fix(studio): flush NumericValueInput draft when Load blurs first
Clicking Load blurs the context field before handleRun runs, so commit()
returned the stale value prop. Keep draft in a ref and parse it even when
the input is no longer focused.
* fix(studio): preserve Auto context when Load is clicked without edits
NumericValueInput.commit() now returns null unless the user actually
changed the field, so GGUF Load/Save no longer pins the displayed native
context into customContextLength when Auto was left untouched.
* fix(studio): clear NumericValueInput dirty state after blur commit
After a normal blur commit, reset dirtyRef so a later Load cannot replay a
stale draftRef when the user changed context via Reset or the slider.
* test(studio): pin NumericValueInput Auto/dirty contracts for #7346
Lock Codex P1/P2: commit returns null unless dirty, blur clears dirtyRef,
and handleRun only promotes a non-null committed context.
* fix(studio): keep same-click context draft after blur (#7346)
Blur can commit and clear dirtyRef before Load's onClick; stash that
committed value for one imperative commit() so typed context is not lost.
* chore: refresh PR head for #7351
* fix(studio): handle context commit edge cases
* chore: refresh PR head
* test(studio): guard invalid context drafts
* style(studio): format context draft guard
* test(studio): exercise same-click model config loads
* fix(studio): drop stale blur pin when the typed context equals the shown value
NumericValueInput cached every blur commit in lastBlurCommittedRef, even when
the draft equalled the current value and no onChange was dispatched. Because the
displayed value never changed, the useEffect([value]) clear never fired, so a
later Reset or external edit that leaves the shown value unchanged could not drop
the cache and the next commit() replayed it into an override that Reset had
removed. Only cache the blur result when it actually dispatched onChange
(final !== value); when final === value the parent is already current and there
is nothing to bridge. Add a Playwright regression that re-types the shown context
and asserts no override is stored.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Studio: commit every same-click numeric draft before staging the load config
The run-settings Load/Reload button flushed only the GGUF Context Length draft
imperatively before building the load config. Max Seq Length (non-GGUF), GPU
Layers and MoE Layers on CPU (GGUF) are the same NumericValueInput and stage
their typed value only on blur, so editing one and clicking Load in the same
gesture staged the load from a still-stale parent config and dropped the value
the user just typed.
Wire an imperative commit handle through those inputs too and fold every
committed draft into the effective config, recomputing the non-GGUF load-time
max sequence length from the committed draft.
* fix(studio): recompute fixed-layer context pin and drop stale blur cache on every render
Two run-settings edge cases on the model-config page:
1) pinFixedLayerContext was computed from the render-time config, before a
same-click GPU Layers draft is committed in handleRun. Typing a positive
fixed-layer value on an auto-fit GGUF and clicking Reload therefore built
the runtime config with customContextLength: null, so a later fresh load
sent the native context with fixed layers (the OOM the pin exists to
avoid). Recompute the pin from the committed effectiveConfig.
2) NumericValueInput cleared its blur bridge only on a value change. A real
edit (final !== value) that Reset then reverts to the same shown number
nets value back unchanged, so the effect never re-ran and the stale pin
survived into the next Load/Save, replaying the override Reset removed.
The bridge is only valid across the single synchronous same-click gesture
that set it, so clear it on every settled render instead.
Add source-contract regressions for both.
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---------
Co-authored-by: Unsloth <michaelhan@Michaels-MacBook-Pro.local>
Co-authored-by: Michael Han <107991372+shimmyshimmer@users.noreply.github.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* Fix reasoning-only Qwen3.6 completions in Studio
* Address reasoning-only review findings
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* Studio: scale menu, toast, chat and composer icons with the UI font size
Glyphs that sit beside scaled labels now follow the preference: the
shared --icon-size token (nav, settings tabs, chat action bars, code
block actions), classed svgs inside dropdown, select, context, menubar,
popover and command surfaces, toasts, the chat thread and both
composers, and the composer pill glyph slot. Sonner toast text is
unpinned from its injected 13px. Hit targets, paddings and surface
geometry stay fixed and every value is identity at the default size.
* Studio: icons scale at half the UI font size rate; cover review gaps
Icons now follow the preference at half the rate of the text, matching
the logo lockup: base + (setting - 16) / 2. The menu specific rules
that outranked the scoped block (app-user-menu, unsloth-plus-menu,
unsloth-tick) carry the scale too, which also restores the plus menu's
intended 1.15rem glyph base at the default size. From review: closed
select triggers join the scoped surfaces so their chevron tracks the
label, sonner action button labels scale at full text rate alongside
the title and description, and the unused built-in sonner loader gets a
defensive size override.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Studio: icons match the text scale below the default, half rate above
Piecewise icon scaling: below the 16px default icons follow the UI font
size at the full text rate, above it they move at half the rate so
glyphs stay slightly smaller than the text. Written as min(full, half)
since the smaller branch is correct on each side. Applies to the shared
--icon-size token, the scoped menu, toast, chat and composer overrides,
and the menu rules that outrank them.
* Studio: cap icons at their default size above the 16px setting
Below the default icons still match the text scale; above it they now
keep their default size instead of growing at half rate, so enlarged
text dominates and glyphs read slightly smaller than the text. The
curve is min(full rate, base).
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Studio: icons above the default scale at half rate, not capped
A 16px glyph at setting 20 renders 18px, as if the setting were 18:
above the default icons move at half the rate of the text, below it
they match the text scale. The curve is min(full rate, half rate).
* Studio: standard icons render at the UI font size itself
One shared --ui-icon-size token replaces the per-base curves for every
glyph with a 16px or larger base: icons match the UI font size below
the default and grow at half the change above it, so setting 12 gives
12px icons, 16 gives 16px and 20 gives 18px, slightly smaller than the
enlarged text. Sub 16px glyphs keep their proportions through the same
curve as a factor. This also slims the previous 18px to 21px icon bases
down to the font size at the default setting.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Studio: icon scale review fixes for ticks, comboboxes and art glyphs
From review: thinking ticks keep their own size inside plus menus (the
important menu rule now excludes them), combobox popups and triggers
join the scoped surfaces, 24px size-6 art glyphs such as attachment
tile icons go back to proportional scaling instead of the uniform
token, branch picker 36px chevrons scale proportionally beside their
counter, and buttons that default un-classed icons to size-4 get the
shared token (xs buttons keep their pinned small icons). Sonner cancel
labels already scale: sonner renders cancel with data-button set, so
the existing override reaches it.
* Studio: keep the toast close glyph compact
The button icon fallback matched Sonner's close button, whose unclassed
12px X then rendered at the shared icon size inside its fixed control.
Exclude data-close-button from the fallback.
* Studio: use text-ui-11 for the new chat settings sheet caption
The raw px guard caught a text-[11px] added on main; raw px text
ignores the UI font size preference.
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* feat(studio): save load settings in chat presets
Presets previously stored only sampling params (temperature, top_p, etc.).
Extend them with an optional loadConfig blob that captures context length,
KV cache dtype, speculative decoding, and GPU layer knobs from the current
runtime when saving.
- Apply loadConfig when switching presets or hydrating on startup
- Show a short summary under the preset controls
- Prompt to reload when a model is already loaded
Fixes#7347
* fix(studio): persist preset loadConfig and capture GGUF context
Add ChatPresetLoadConfig to the chat settings API schema so presets with
load settings no longer 400 on save. Capture effective GGUF context from
ggufContextLength when customContextLength is cleared after auto-mode load.
* fix(studio): address Codex review on preset load settings
Coalesce default maxSeqLength/speculative/gpu knobs when capturing presets,
no-op apply for legacy presets without loadConfig, preserve GPU pin on apply,
and stop replaying stale loadConfig during settings hydration.
* Remove unused getOrderedPresets import
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* Studio: register text-ui tokens with tailwind-merge so cn keeps them
Stock tailwind-merge classifies text-ui-* as a text color, so cn() dropped
the size class whenever a color utility followed it in the same call. The
element then fell back to the unscaled 16px root font, which made hub tabs
and capability pills look oversized at small UI font sizes. Extend the
merge config so text-ui-* and leading-ui-* resolve as font-size and
line-height groups, and cover the failure in the contract and Playwright
regression tests.
* Studio: rename the Models page to Model hub
Page heading, sidebar navigation label in all locales, and the chat
download toasts that point at the tab.
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: Roland Tannous <115670425+rolandtannous@users.noreply.github.com>
Co-authored-by: oobabooga <112222186+oobabooga@users.noreply.github.com>
Downgrades a headless-Chromium renderer crash in the voice model-picker step to a warning plus page recovery on macos-14, where CheckMediaAccessPermission can kill the tab. Linux and Windows strict smoke jobs keep hard crash coverage and any live-page failure stays a hard fail.
The slim whisper bundle is ggml-less and links the ggml runtime out of the
installed llama.cpp prebuilt, so each whisper release pins a paired llama tag.
The gate required an exact tag match, but llama fork tags are
b<upstream_build>-mix-<ggml_commit> and the build number tracks upstream llama
and fork PRs that live outside ggml. When llama republishes a newer build with
the same ggml commit (a frequent event), the installed llama advances past the
whisper pin and curated dictation goes unavailable until whisper is republished,
even though the ggml runtime is ABI-identical.
Key the pairing gate on the ggml commit after -mix- instead of the full tag, in
all three comparison sites (slim_pairing_for_artifact,
_slim_release_incompatibility, resolve_selection). requires_ggml_sonames stays
the real per-file ABI gate, and a genuine ggml skew still fails closed. Tags
without a -mix- marker fall back to exact matching.
* fix(studio): opt-in source-build GPU smoke validation (#5854)
Gap 1 (empty CUDA arch -> CPU) already landed in #6481. Wire gap 2: after a
GPU source build, optionally run the same staged llama-server smoke test as
the prebuilt path, then CPU-fallback on failure. Gated by
UNSLOTH_LLAMA_STAGED_VALIDATION (default off) to avoid Blackwell JIT stalls.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix(install): normalize staged validation env in setup.sh (#7322)
Strip and lowercase UNSLOTH_LLAMA_STAGED_VALIDATION before the shell
gate so values like True and surrounding whitespace match the Python
staged_validation_enabled() helper.
* Rebuild visual server after staged-validation CPU fallback (#5854)
Mirror the primary source-build path by best-effort building
llama-diffusion-gemma-visual-server after smoke-failure CPU fallback.
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* fix(studio): persist connection model selections server-side
Remote Studio clients could see saved connections but not their enabled
model lists because models lived only in browser localStorage.
Store models and available_models in llm_providers and sync them through
the providers API so alternate clients inherit the same catalog state.
Fixes#7281
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Hydrate external connections on chat startup (#7281)
Extract provider sync logic into sync-external-providers.ts and call it
from chat-page on mount so persisted model selections appear in the
Connected picker without opening Settings → Connections first.
* fix(studio): backfill connection models and preserve local options (#7298)
Address Codex P2 on remote connection persistence:
- Backfill localStorage model selections to /api/providers when backend
rows still have empty models_json (legacy upgrades)
- Carry promptCacheTtl and openaiContainerTtlMinutes through startup sync
- Await hydratePersistedSettings before syncing on ChatPage mount
Contract tests: 7 passed; npm run typecheck passed.
* Tighten comments
* Tighten comments
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* fix(studio): show chat sidebar menu on touch devices
Recents/Pinned chat row actions were hidden until hover, so iPad users
could not open the kebab menu to delete chats. Reveal actions on coarse
pointers using the same pattern as hub model rows.
Fixes#7276
* Fix coarse-pointer sidebar row action visibility (#7276)
Move the touch-device override into index.css after .sidebar-row-action so
it wins the cascade. Arbitrary Tailwind media utilities on the element had
equal specificity and were overridden by the base rule.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Scope coarse-pointer sidebar actions to chat rows (#7276)
Only chat kebabs/unpin buttons that reserve touch padding get
sidebar-touch-reveal, so project/run/nav rows stay hover-revealed.
* Tighten comments
* Reserve full kebab hit area on coarse-pointer unpinned rows
---------
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Co-authored-by: Daniel Han <danielhanchen@gmail.com>
* feat(studio): offer MLX-supported optimizers on Apple Silicon
The training form's optimizer dropdown only listed CUDA/bitsandbytes optimizers (adamw_8bit, paged variants, torch fused). On Apple Silicon the MLX trainer supports a different set (adamw, adam, lion, muon, sgd, adafactor) and remaps every bitsandbytes/torch name to plain AdamW, so the dropdown misrepresented what actually runs.
Offer the MLX optimizer list when the device is a Mac, and derive the displayed value so the control is never blank: the shared CUDA default and the other bitsandbytes/torch options render as AdamW (exactly how the MLX backend normalizes them), while any other value is shown as-is so an unrecognized or non-canonical imported optimizer is never mislabeled. Non-Mac behavior is unchanged. The run-summary optimizer label now resolves from both lists.
* feat(studio): show an MLX-appropriate optimizer tooltip on Apple Silicon
The optimizer tooltip described "8-bit variants" and recommended "Fused" for vision models, neither of which is offered when training runs on MLX. On Apple Silicon, show a tooltip that matches the MLX optimizer set and notes that Lion typically needs a lower learning rate than AdamW.
Copy-only: no change to the selected optimizer or the learning rate, and the non-Mac tooltip is unchanged. The new string is added to the English locale; other locales fall back to English until translated, matching how new keys are handled elsewhere.
* fix(studio): label Mac CUDA-alias optimizers as AdamW in the run summary
On Apple Silicon the run-configuration summary looked up the stored optimizer name directly, so a run that kept a CUDA/bitsandbytes default such as adamw_8bit was labeled "AdamW 8-bit" even though the picker shows "AdamW" and the MLX backend runs plain AdamW. Mirror the training form's derivation so those aliases are labeled AdamW in the summary too.
Display-only: no change to the stored or submitted optimizer, and non-Mac summaries are unchanged.
* feat(studio): disable LoftQ and sequence packing on Apple Silicon
Neither LoftQ nor sequence packing is supported on MLX — the backend rejects LoftQ and the trainer silently forces packing off — yet the training form still offered both on Apple Silicon.
Disable the LoftQ LoRA-init option (greyed and unclickable, with an inline "Not supported on Apple Silicon" note) and the "Enable packing" checkbox (greyed, with a tooltip explaining why), matching how the unsupported "Enable streaming" control is presented. Clearing effects reset a stale loftq/packing value to its default on Mac so the disabled controls never submit it. Non-Mac behavior is unchanged.
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* Studio: add Voice settings tab (dictation, dictionary, read aloud)
New Voice tab in Settings, placed just before About:
- Dictation: microphone picker, browser STT engine, recognition language,
and an inline mic test with a live transcript
- Dictation dictionary: entries rewrite matching speech to their exact
spelling and casing, applied in both dictation paths
- Recent dictations: last 20 final transcripts with copy and clear, so
text can be recovered if it lands in the wrong place
- Read aloud: optional button on assistant responses with two engines,
curated system voices (novelty and legacy voices filtered, quality
ranked, capped at 20) or the TTS audio model loaded in Unsloth via
/audio/generate (e.g. Orpheus), plus speed, pitch, volume and preview
Settings persist in localStorage (unsloth_voice_settings) and are read
at call time so changes apply without reloading the runtime. Adds en
keys plus the tab label for ja, zh-CN and pt-BR.
* Studio: drop the single option STT engine select, rename TTS option
The STT engine dropdown only had one entry, so it added noise without
giving a real choice. The engine row can come back once local STT
models land. Also renames the TTS engine option Unsloth TTS model to
Load TTS model to make the action clearer.
* Studio: harden Voice settings against edge cases found in simulation
Simulated the feature across Chromium, Firefox and WebKit plus node
level unit runs and backend contract checks. Fixes from the findings:
- Dictionary rewrite used a replacement string, so entries containing
dollar patterns corrupted transcripts (A$$AP became A$AP, $& injected
the match). Switched to the callback form of String.replace
- Persisted voice settings now validate types on hydration: non string
micDeviceId, dictationLanguage and ttsVoiceURI, and non boolean
ttsEnabled fall back to defaults instead of flowing into the UI
- Dictionary entries are trimmed, capped at 120 chars and re-sanitized
on hydration
- The Test dictation panel now falls back to the default microphone
when the saved device is unplugged, matching the composer adapter
Test coverage: 46 unit assertions (dictionary regex edge cases across
unicode, word boundaries and injection, voice curation for simulated
macOS, Windows and Linux voice inventories, corrupt storage merge),
13 backend contract checks against /audio/generate on an isolated
instance, and 60 browser assertions across the three engines covering
rendering, degradation without SpeechRecognition, curation in a real
DOM, dictionary persistence with unicode and dollar entries, the
no-model preview error path and corrupt localStorage recovery.
* Studio: address Voice settings review feedback
Verified each review comment before acting. Confirmed and fixed:
- Editing a dictionary entry was broken in two ways: the store trimmed
on every keystroke so spaces could not be typed, and clearing the
field deleted the entry and unmounted the input mid edit. Updates now
keep the raw value and a blur commit trims or removes the entry
- The unplugged mic fallback checked instanceof DOMException, but a
cross browser probe showed Firefox and WebKit throw
OverconstrainedError objects that are not DOMExceptions, so the
fallback never fired there. Matching on the error name now
- When the browser ended a dictation test on its own (silence timeout),
the mic stream stayed open. All recognition end paths now stop the
tracks and save the transcript through a single finalize path
- The studio TTS audio element now releases its WAV data URL as soon as
playback ends, fails or is cancelled
- Allow microphone now reports insecure contexts (no mediaDevices)
accurately instead of claiming access was blocked
- Voice tab copy moved into i18n keys per src/i18n/AGENTS.md, so locale
overlays can translate it; en is the baseline and parity passes
- unsloth_voice_settings added to the Reset all local preferences key
list so voice preferences obey the reset
- Non default microphones note that the system default is used when the
browser speech engine cannot bind a specific device, since browsers
without the start(track) overload ignore the argument silently
Re-ran the full simulation set after the changes: 46 unit assertions,
13 backend contract checks and 60 browser assertions across Chromium,
Firefox and WebKit all pass, plus a dedicated browser probe for the
dictionary editing behavior.
* Studio: use the chat mic icon in Voice settings for consistency
The Voice tab and its buttons used the hugeicons Mic02 glyph while the
chat composer uses a custom filled mic. Extract that composer icon into
a shared lib/mic-icon component, drop the duplicate inline copies in
thread.tsx and shared-composer.tsx, and use it for the Voice tab icon
and the tab's mic buttons so the microphone looks the same everywhere.
* Studio: address second round of Voice settings review feedback
Verified each new comment against the current code first. One item was
already fixed in the previous round (recording transcripts when the
browser ends a dictation test on its own). Confirmed and fixed:
- The microphone row showed a picker with generic names when browsers
enumerate unlabeled devices before permission, leaving no way to
grant access from the row. It now branches on whether labels are
visible and shows Allow microphone otherwise
- Compare chat dictation ignored the selected microphone. It now opens
the chosen device with the same fallback rules as the main adapter,
passes the track to recognition where supported and releases the
stream when recognition ends
- Closing the Voice tab cancelled the shared speechSynthesis even when
read aloud was playing a chat message. Cleanup now only cancels when
the tab owns an active preview
- Double clicking Start test could race two recognizers and leak the
first stream. A starting flag set before the getUserMedia await makes
start reentrancy safe
- Turning off the read aloud setting mid playback removed the only stop
control. The stop button now renders whenever a message is speaking
- When an engine lacks the start(track) overload, both dictation paths
now release the selected device stream before retrying with the
default microphone instead of holding it open
- Read aloud support no longer requires Web Speech synthesis: the
Unsloth TTS engine only needs audio playback, so it stays available
in WebViews without speechSynthesis, with a clear error if the system
engine is chosen there
Not addressed here: cancelling in flight backend TTS generation on
stop. The route runs generation in a worker thread without a
cancellation path, which is shared pre existing behavior with audio
chat generation and belongs in a backend change.
All suites re-run green: 46 unit, 13 backend contract and 60 browser
matrix assertions across Chromium, Firefox and WebKit, plus probes for
the unlabeled device branch and the double click race.
* Studio: drop empty and duplicate voiceURIs so the Voice tab never renders a crashing Select item
* Studio: guard dictation mic lifecycle in Voice test and Compare composer
Release a microphone opened after the component unmounts, and stop Compare
dictation on a permission or security failure instead of silently recording
from the default device, matching the main chat adapter.
* Studio: fix dictation and read-aloud lifecycle edge cases in Voice settings
- Join final dictation chunks with a space so recorded transcripts do not merge words
- Ignore a stale recognizer onend so a quick stop then restart is not torn down
- Use previewingRef so a double click on TTS preview does not orphan the first request
- Keep the read-aloud stop control visible when a new run starts while a message is spoken
- Stop the dictionary remove button from deleting an adjacent entry on a blur then click race
* Studio: trim redundant Voice settings comments
* Studio: fix Voice preview and Compare dictation edge cases
- Only cancel the shared speechSynthesis for a system-voice preview, so stopping
a Studio preview no longer stops an unrelated chat read-aloud
- Release the Studio preview audio and its WAV data URL on normal completion
- Iterate every finalized result in Compare dictation so batched phrases are kept
- Cap persisted recent dictations to the last 20 on hydration
* Studio: use clipboard fallback for recents and release failed preview audio
- Copy recent dictations via the copyToClipboard helper so the execCommand
fallback works in Safari and insecure http LAN contexts
- Release the Studio preview audio when play() rejects, not just on ended/error
* Studio: add local speech-to-text dictation engine
Add an offline dictation engine that transcribes with a local faster-whisper
model, alongside the existing browser (Web Speech) engine. The browser engine
streams audio to Apple or Google speech services and needs internet; the new
engine runs on the server, works offline, and drives any chat model without
evicting it (it loads in the backend process, separate from the model
subprocess). It also gives Firefox dictation, which has no Web Speech support.
Backend: a lazily-loaded, kept-warm faster-whisper sidecar and three routes
under /api/inference/audio (stt/status, stt/load, transcribe). faster-whisper
is torch-free, so this does not disturb the existing model stack.
Frontend: a Dictation engine setting (browser or local model), a curated model
picker with sizes, and MediaRecorder capture posted to the transcribe route.
The model warms automatically when the engine is selected, with live status.
* Studio: stream local STT transcription as you speak
Local dictation showed nothing until you stopped, because the whole clip was
transcribed once on stop. Now the growing recording is re-transcribed on a
fast pass every second and emitted as live interim text, with an accurate
final pass on stop. Partial recordings decode fine, and the model refines
earlier words as more audio arrives.
Adds an interim flag to the transcribe route (beam 1, no VAD) for the fast
preview pass; the final stop uses the accurate path.
* Studio: make local dictation stop instant and reliable
Stopping local dictation waited for a final network transcription before the
session ended, so the stop button did not flip and a second click ended the
session early and dropped the text. Now stop commits the live transcript
immediately, releases the mic at once, and ignores a second stop while
finalizing. Previews run more often so the committed text is current.
* Studio: record local dictation in short clips for reliable streaming
Re-transcribing a growing buffer every second got slower as it grew, flooded
the backend, showed stale words, and could leave the stop button stuck waiting
on a backlog. Record short independent clips instead and transcribe each once,
appending the text as you speak. Work per clip is bounded, so stopping is
prompt (with a hard timeout as a safety net) and long dictations stay smooth.
* Studio: dictate then transcribe once on stop, ChatGPT style
Local STT dictation streamed by re-transcribing the growing clip, which
was quadratic and saturated the backend (multi-second lag), and stop only
halted the recorder without releasing the mic, so it kept recording. Record
the microphone continuously, release it the instant the user stops, and
transcribe the whole clip once. Stopping is immediate and the transcript
lands in about a second. Also add the tiny model for the fastest option.
* Studio: surface dictation and read-aloud failures instead of failing silently
- Compare dictation reports microphone and speech-recognition errors via toast,
reusing the main chat adapter's describeMediaError and describeSpeechError
- Read-aloud toasts genuine model or synthesis failures while ignoring cancellations
* Studio: ChatGPT-style recording bar for dictation
Clicking the mic now drops the composer into a dedicated recording bar
with a live waveform, a discard (X) and a confirm (tick), instead of a
plain stop button. The tick stops recording and transcribes the clip;
the X throws the recording away and keeps whatever text was already in
the composer. The model adapter taps the mic with an analyser to drive
the waveform, and the router tracks the live session so the X can cancel
it without transcribing.
* Studio: transcribe dictation while speaking, ChatGPT layout
Match ChatGPT's recording layout: the bar now renders in place of the
input with the left plus button kept, the waveform in the middle, and
the discard and confirm buttons together on the right.
Cut the post-confirm delay by transcribing in the background as the user
talks. The audio is split at natural pauses (voice-activity detection off
the same analyser that drives the waveform) and each clip is transcribed
as it is cut, so confirming only has to finish the short final tail. The
model is also warmed when recording starts so the first run never pays a
cold load.
* Studio: ChatGPT waveform, hide tools while dictating, faster STT
Make the recording UI read like ChatGPT: the waveform is now a dense row
of round dots that rise into thin centered bars, and while dictating only
the plus button shows, with the mode badge and tool toggles hidden so the
bar is just the waveform and controls.
Speed up transcription: decode greedily (beam_size=1), which is several
times faster on CPU with negligible accuracy loss on short dictation
clips, and cap background segments at 6s so the final tail after confirm
stays short.
* Studio: finish ChatGPT voice bar and low-latency STT
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Studio: full-width waveform with a timer that freezes on stop
Use the full-width waveform for the recording bar: brighter, bigger bars
that advance on a fixed cadence (keeping peaks between advances) so they
glide instead of racing by, inset from the composer edges. Keep a visible
timer and the green confirm button, matching the ChatGPT reference, and
freeze the timer and waveform the moment the user confirms.
* Studio: fix multilingual local dictation
* Studio: speed up dictation and release local STT
* Studio: harden dictation finalization and STT decoding
* Studio: restore Firefox dictation fallback
* Studio: add dictation history manager
* Studio: manage speech model downloads
* Studio: remove em dash from voice model label
* Studio: move dictation history into Voice
* Studio: source local STT from Unsloth Whisper models
Point the dictation STT sidecar and its Model Hub download entries at
Unsloth's Hugging Face Whisper repos (small, large-v3-turbo, large-v3)
and run them through Transformers, so Studio only ever downloads
Unsloth-uploaded weights. Drop faster-whisper and the Systran/mobiuslabs
repos; keep the Model Hub as the only download path via local_files_only,
and keep PyAV for audio decoding.
Device selection uses float16 on CUDA and float32 on MPS and CPU, since
Whisper's decoder is unstable in float16 on MPS and repeats tokens.
Shorten the model picker labels to name plus download size and update the
STT tests for the new backend.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Studio: smooth dictation waveform and keep pill height
* Studio: align STT model dropdown width and tidy voice copy
* Studio: guide to local engine when browser dictation is offline
* Studio: clarify voice section and STT model copy
* Studio: keep STT warm with training-aware eviction
* Harden STT lifecycle and browser compatibility
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fix model discovery test lint
* Harden cross-browser microphone errors
* Harden cross-browser microphone errors
* Surface voice test recognition errors and fall back to Studio TTS
- Voice test now toasts non-abort speech-recognition failures instead of
ending silently, matching the main and Compare dictation paths.
- Read-aloud routes to the backend model when the runtime lacks Web Speech
synthesis (audio-only WebView), so it no longer errors immediately.
* Fix reviewed STT lifecycle races
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fix read-aloud fallback controls
* Guard read-aloud stop when deleting a non-speaking message
aui.message().stopSpeaking() throws unless this message is the one being
read aloud, so calling it unconditionally rejected the delete handler before
the message was removed. Only stop speech when this message is speaking.
* Cap recent dictation transcript length before persisting
Recent dictations only limited entry count, so a long transcript stored the
full text in the persisted voice settings and a few could exceed the
localStorage quota, throwing synchronously from the uncaught dictation cleanup
path. Truncate each entry on save and on hydration, matching the dictionary cap.
* Studio: keep dictation mic clickable and guide to local model
Register the dictation adapter unconditionally so the mic stays enabled
for any engine and starts working right after switching to the local
model on an already-open thread.
When the browser engine cannot run (Firefox, Brave, non-secure origins),
clicking the mic shows a toast that points to the local speech-to-text
model instead of leaving a disabled button. The toast stacks its action
below the text with a fully rounded button.
* Studio: add bottom padding below the dictation guidance toast button
* Studio: increase bottom padding under the dictation toast button
* Studio: add bottom padding inside the dictation toast button
* Studio: add five Whisper defaults and custom model search
Add private UnslothAI Tiny and Base mirrors to the curated local STT choices while keeping Small as the default. Let users search or paste a Transformers-compatible Whisper repository and validate it end to end.
Keep short dictations in one clip to avoid repeated padded encoder work, then split longer recordings near Whisper's 30-second boundary.
Update hidden model filters and tests, including the CPU-only CI runtime stub for PyAV.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Studio: use public Unsloth Whisper repositories
Point the Tiny and Base dictation defaults to the public unsloth repositories and remove the private mirror references from model filtering and tests.
* Studio: update Whisper download sizes
Reflect the cleaned public Tiny and Base repositories in the curated model labels.
* Studio: right-align STT model size, fix dropdown wheel scroll, refresh sizes
- Show the download size on the right of each model row so long names
like Whisper Large v3 Turbo no longer hide it
- Update curated Whisper sizes to the safetensors weights actually
downloaded: Tiny 151 MB, Base 290 MB, Small 967 MB
- Drive the model list scroll from a wheel handler so the mouse wheel
scrolls it inside the Settings dialog, not just the scrollbar
- Add a search icon and shorten the placeholder to Search model
* Studio: do not search when a dictation model is picked, shrink repo label
- Treat the filled-in model text as a selection, not a query, so choosing
a model no longer kicks off a Hugging Face search
- Make the repository line under each model name smaller
* Studio: tighten dictation model and local engine descriptions
* Studio: keep model display on pick instead of the query, shrink row text
- Guard the combobox input so selecting a model shows its name and does
not echo the typed query back or start a search
- Map the item label to the friendly display so picks fill the field
- Reduce the model name and size text in each row
* Studio: show only the model name in the dictation field, shrink size label
- Drop the download size from the search field; the name alone is shown
once a model is selected, with sizes kept in the dropdown list
- Reduce the size label text in each row
* Studio: clarify the dictation model description
* Studio: drop Hugging Face from the dictation model description
* Studio: move the dictation dictionary to its own Manage subpage
- Replace the inline entry list with a Manage row, matching Dictation
history, so a long dictionary no longer crowds Voice settings
- Add a DictationDictionaryView subpage that holds the entry editor
* Studio: match STT field font, use best voice for System default
- Bump the dictation model field text to text-sm so it matches the
engine dropdown next to it
- Resolve the System default read-aloud voice to the top curated voice
instead of the browser default, which is a robotic legacy voice on macOS
* Studio: rerank read-aloud voices and drop duplicate voice entries
- Rank by vendor quality, then the user's locale, then a preferred list of
natural voices, so the best voice leads instead of the first alphabetically
- Collapse voices that macOS reports twice under one name and language
* Studio: fold dictionary and recents into the dictation section
- Drop the separate Dictation dictionary and Recent dictations headings;
their Manage rows now sit under Dictation, split by the row divider
- Shorten the custom spellings description
* Studio: add search and sort to dictation history
- Filter saved dictations by text with a search field
- Sort by newest, oldest, or A to Z; show a no-matches message
- Keep Clear all available regardless of the current filter
* Studio: settle cancelled STT loads before training and fix dictation review items
Wait for a cancelled STT load to exit and release its memory before
reporting it freed for training, so the loader cannot still be inside
from_pretrained()/.to(device) holding VRAM when the training subprocess
starts. A load that finishes before observing the cancel now gets
unloaded so the memory is actually reclaimed.
Clear the accelerator cache before the CPU fallback in load() so a failed
CUDA/MPS load does not strand reserved VRAM once the sidecar is marked
CPU-resident.
Send the saved Hugging Face token when polling STT download progress so a
gated or private repo resolves and shows the correct Load/Downloaded
state instead of reporting missing.
Mark the composer Dictate button as type="button" so clicking it does not
also submit the draft when the composer already has text or attachments.
* Studio: pin dictation settings per session and close STT startup races
Capture the STT model and language when a dictation session starts and
pass them to every queued segment and the warm-up load, so changing the
model or language mid-recording no longer transcribes the same clip with
the wrong model or a model that is not downloaded.
Check the local runtime at the top of transcribe(), before the model
cache lookup and the bounded audio decode, so a server missing PyTorch or
Transformers returns 501 up front instead of decoding a long clip first.
Treat the training startup window as active for STT device selection.
start_training frees VRAM in before_spawn but only assigns _proc later, so
a concurrent STT load could take the GPU that was just cleared. A startup
flag now reports training active from the free until the process is live,
forcing those loads to CPU; a finally clears it on every exit.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Studio: stub the STT runtime check in transcribe orchestration tests
transcribe() now verifies the local runtime up front, so the unit tests
that exercise transcription orchestration must treat the runtime as
present to keep passing where PyTorch, Transformers, and PyAV are not
installed. Stub ensure_stt_available in the shared fixture and restore
the real check in the availability and load-rejection tests.
* Harden custom Whisper dictation models
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Add whisper.cpp dictation engine with per-engine downloads and history rework
Engines
- New GGML STT sidecar that runs a managed whisper-server subprocess with
idle unload, plus a pinned static build script (scripts/build_whisper_cpp.sh)
- Dictation engine picker now offers Browser, Local transcription
(whisper.cpp), and Local transcription (Transformers)
- Both local engines serve the same five curated Whisper models and download
them directly with byte-level progress reported by /audio/stt/status
- Models auto load on selection and when their download finishes
- Unload and training admission account for both engines
Benchmarks (Apple Silicon, greedy, warm, same checkpoints)
- whisper.cpp transcribes 2.4x to 5x faster than Transformers and loads in
about 0.45s vs 0.86s for Whisper Small
- whisper.cpp GGUF path is unchanged by the Transformers addition
(load 0.445s -> 0.444s, short clip 0.391s -> 0.347s, long 1.197s -> 1.129s)
Voice settings UI
- Plain curated model select replaces the searchable combobox
- Single download progress bar with transfer rate for both engines
- Dictation history now stores every dictation with Show more pagination,
a top Clear history action, and links back to the chat it was spoken into
- Archived chats dialog gets the same pagination
- Delete dialog offers deleting a dictation together with its chat
Tests: 88 backend STT tests pass, including new snapshot download coverage.
Frontend typecheck, lint, i18n parity, and production build pass.
* Merge local engines into one option and source GGML models from unslothai
Engine selection
- The dictation engine dropdown is back to two choices: Browser and Local
transcription. The selected model decides the backend: curated ids run
GGML checkpoints through whisper.cpp, searched Hugging Face repositories
run safetensors through Transformers
- Model picker lists the curated models and searches Hugging Face for other
Whisper repositories, validating them before selection. The trigger is a
plain button so the selection never renders inside a text input
- /audio/stt/status accepts a model query param so downloaded state works
for custom repositories; the engine param on load, transcribe, and
download routes is derived from the model everywhere
Model source
- Curated GGML checkpoints now download from the Unsloth-hosted
unslothai/whisper-*-GGUF repositories (one repo per model) instead of
ggerganov/whisper.cpp; cache lookups, progress totals, and in-flight blob
tracking are per-model
Fixes
- Voice settings and dictation history were not persisting: the quota-safe
localStorage wrapper was declared after the store that uses it, so the
persist storage factory failed silently. Every settings write also threw
mid-click, which kept the model picker popover from closing on selection
- is_model_downloaded now verifies config, preprocessor config, and real
weight files instead of trusting an offline snapshot lookup, so a partial
download left by an aborted fetch shows the Download button instead of
failing to load
- Removed whisper.cpp mentions from user-facing text: the ready status
shows Loaded instead of the runtime name, picker rows show the source
repository, and runtime error messages say local transcription runtime
Verified with automated browser sessions and live API checks: selection
closes the picker with no page errors, persisted settings hydrate on
reload, a stale partial snapshot triggers download then loads on MPS and
transcribes, and curated models download from the unslothai repos. 88
backend STT tests, typecheck, lint, i18n parity, and build pass.
* Skip the duplicate source line for custom models in the STT picker
A custom repository's display name is its id, so search results and the
appended current selection rendered the same string twice. The source
line now only renders when it differs from the name; curated rows keep
their name, unslothai source repository, and download size.
* Verify every shard of a sharded checkpoint in the downloaded check
A snapshot holding one of N shards (or a corrupt shard index) passed the
downloaded check and then failed at load. When model.safetensors.index.json
exists, every shard in its weight map must now be present. Found by
simulation; covered by a regression test.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Rename stale _starting references in the pump resilience tests
The startup flag on TrainingBackend was renamed to _spawn_in_progress but
two tests added alongside it still asserted on the old name, failing the
Python 3.11 to 3.13 CI jobs.
* Make the selected model row clearly highlighted in the STT picker
The current selection was a faint background tint. It now uses the accent
background with a medium weight name. Two line rows use a small corner
radius; single line custom repo rows keep the pill shape.
* Address review feedback on STT snapshot checks, VRAM release, and dictation UX
Verify snapshot completeness in the load preflight so a partial download
fails before the audio is decoded, for curated and custom repos alike.
Drop the failed accelerator traceback before the CPU retry so the cache
clear can actually release that memory. Keep unloading the GGUF sidecar
after cancelling an in-flight Transformers load; both engines can hold
memory at once. Allow Auto language with English-only .en checkpoints,
matching the backend which sends no forced language. Keep the discard
button usable while a transcription is pending so a slow or hung request
cannot trap the composer in dictation mode. Stop linking Compare and
settings test dictations to the unrelated active single chat thread.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Move the CPU retry out of the exception handler
On Python 3.10 the interpreter exception state keeps its own reference
to the traceback, so dropping it from the caught exception was not
enough to release the failed accelerator load during the retry. Leaving
the handler before clearing the cache works on every supported version.
* Address review feedback on session handoff, chat pinning, and server lifetime
Starting a dictation from a second entry point now cancels the session
it replaces, so the old recording cannot keep the microphone open or
save a transcript with no discard button pointing at it. The linked
chat is pinned when recording starts, so switching threads while a
transcription finalizes cannot relink the transcript to the newly
opened chat. whisper-server is now bound to Studio's lifetime like the
other long-lived children: PDEATHSIG on Linux, the parent job object on
Windows, and pid adoption so the shutdown sweep reaps it; before this
it survived a Ctrl+C exit as an orphan still holding the model.
* Remove the dictation mic test from Voice settings
The composer dictate button covers the same check, so the test row, its
transcript panel, the unsupported fallback row, and their strings and
search entry are gone.
* Studio STT: gate GGUF whisper-server on training and fix dictation retry and dictionary edits
GGUF (whisper.cpp) sidecar:
- Launch whisper-server with --no-gpu while training is active, mirroring the Transformers sidecar's CPU device choice, so a mid-training dictation cannot reclaim the VRAM training just freed.
- Report is_loading() during whisper-server startup so training VRAM admission accounts for the accelerator memory it is about to bind.
- Require PyAV in is_available() so /audio/stt/status reports the engine unavailable when uploads cannot be decoded, instead of loading fine and then 501ing at transcription.
- Reject a missing model before decoding audio, matching the Transformers download preflight.
Voice settings:
- The download Retry button now restarts the download; the sidecar error is sticky until a new start(), so re-polling alone never cleared it.
Dictation dictionary:
- Tabbing from an emptied entry to its remove button no longer commit-splices the row first, which shifted indices and deleted the wrong entry.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Studio STT: fix curated GGUF whisper filenames to match hosted repos
The unslothai/whisper-*-GGUF repos host the checkpoint as whisper-<id>.bin,
not ggml-<id>.bin, so every curated dictation download and cached-path
lookup 404'd and the whisper.cpp engine could never load a model. Point
GGML_STT_MODELS at the real filenames and guard the naming with a test.
* Studio STT: validate a custom dictation repo before downloading it
The Transformers STT engine accepts an arbitrary owner/model repo, but the
download route handed it straight to snapshot_download, pulling a possibly large
non-Whisper repository into the shared HF cache. Confirm the repo is a Whisper
checkpoint first with the existing metadata-only validate_remote_model (no
weights); curated ids short-circuit and the GGUF engine (curated-only) is
unaffected. A non-Whisper repo now 422s before any download.
* Studio STT: preempt a still-loading GGUF server for training admission
A whisper-server still in its startup window binds accelerator memory but has no
loaded_model yet, so training admission could miss it and launch into an OOM.
Make the GGUF startup cancellable (cancel_pending_load signals an abort event and
terminates the starting process without the load lock; _wait_for_server observes
it and raises SttLoadCancelledError; wait_for_load_to_settle blocks on the lock
until the killed server is reaped), and always fold the GGUF sidecar into the
resident-STT summary so a resident Transformers model cannot mask a loading GGUF
server. free_stt_model_for_training now cancels an in-flight load and waits for it
to settle before training claims the memory.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Studio STT: fall back to Transformers when whisper-server is absent
A curated dictation model (including the default small) hard-pinned the GGUF
engine, but standard installs do not ship whisper-server, so every recording
501'd instead of using the Transformers engine that serves the same checkpoint
-- the GGUF sidecar's own documented contract. Add _resolve_serving_stt_engine:
a GGUF request for a curated id (the only ids GGUF accepts, all Transformers-
servable) downgrades to Transformers when whisper-server is unavailable, applied
consistently to download, load and transcribe (not unload, which targets a
specific engine). The Voice tab likewise falls back to the Transformers status so
the model is not shown unavailable and download is not blocked.
* Studio STT: hide custom Whisper caches from the legacy model pickers
The legacy /cached-models (and /cached-gguf) routes called is_hidden_model with
only the owner/model id, which cannot reach the config-based Whisper check, so a
downloaded custom (non-curated) Whisper checkpoint was still offered as a chat
model. Pass the cached snapshot path so _path_is_whisper_model inspects the repo
config and hides it, matching the discovery route.
* Studio STT: hide GGUF dictation repos, lock-free status, unload fallback, split training eviction
- Hide the curated GGUF dictation repos (unslothai/whisper-*-GGUF) from the chat
model inventory and pickers, backend and frontend. Only their Transformers
safetensors companions were hidden; the GGUF repos use a different org and a
-GGUF suffix and carry a raw .bin with no whisper config.json, so they leaked
into chat pickers.
- Make the GGUF sidecar loaded_model/device accessors lock-free, mirroring the
Transformers sidecar. transcribe() holds self._lock across the whole inference
call, so /audio/stt status polls and training admission previously blocked
behind an in-flight transcription.
- stt_unload resolves through the serving resolver: a "gguf" pick on a host
without whisper-server is served by the Transformers fallback, so unload must
target that engine or the resident model is never freed. Unload also attempts
every engine even if one raises, so a failure freeing one backend no longer
skips the other.
- free_stt_model_for_training frees the Transformers and GGUF sidecars under
independent exception boundaries so a failure unloading one no longer skips
the other before training claims the memory.
Adds tests/test_stt_review_fixes.py covering all four.
* Studio STT: resolve Auto dictation language for the model engine + snapshot process liveness
- The model dictation adapter sent the raw setting (the literal "auto") to the
backend, while the browser engine resolves Auto via resolveDictationLanguage.
A batch of non-English voice notes came back mostly English on Auto. Add
resolveModelDictationLanguage: only the literal "auto" is resolved to a
concrete locale, gated so it becomes a language the model AND Whisper can
honor (mirroring the backend's known-whisper-languages set); an explicit
language, or a locale Whisper cannot honor, stays unchanged/auto-detect. Wire
it into both adapter call sites.
- GgmlSttSidecar._process_alive() read self._process twice; a concurrent
unload() nulls it under the lock while loaded_model/device read lock-free, so
a null between the two reads called None.poll(). Snapshot once. Adds a
deterministic regression test.
* studio: tighten comments and docstrings in the dictation modules
* studio: harden dictation model downloads, GGML readiness, and recording paths
Address review findings on the STT dictation feature:
- build_whisper_cpp.sh refuses to delete a whisper.cpp tree under a custom
Studio home unless it carries the Studio ownership marker, matching the
setup.sh policy, and marks trees it creates
- _snapshot_is_complete validates every shard of a sharded PyTorch
(pytorch_model.bin.index.json) checkpoint like the safetensors path, and
requires tokenizer assets (tokenizer.json or vocab.json + merges.txt)
- custom-repo downloads pin the revision resolved at validation time and
restrict snapshot_download to the model/tokenizer/config/preprocessor file
classes Studio loads
- the GGML sidecar holds its port reservation until just before spawning
whisper-server and only accepts readiness from a responder that both looks
like whisper.cpp's server and belongs to the still-running managed child,
probing twice, so mic audio cannot be posted to a foreign local process
- the recording adapter transcribes every non-empty segment; the RMS meter
only shapes segment boundaries and can no longer discard quiet speech
- Compare-pane dictation can cancel a pending transcription on second click,
with the button relabeled while finalizing
- localStorage quota recovery halves the dictation history until the save
fits, so small histories shrink too
- the System default TTS voice resolves to the platform default voice
- new dictation UI imports go through the chat and hub feature barrels
Regression tests cover the build-script gate, sharded PyTorch and tokenizer
completeness, revision pinning and allow patterns, and the whisper-server
readiness probe.
* Fix STT download and voice picker follow-ups
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Add dictation button regression coverage
* Studio: prebuilt whisper.cpp via the shared llama.cpp install core, slim bundles paired to the llama prebuilt (#7294)
* Studio STT: add prebuilt whisper.cpp (whisper-server) installer
New install_whisper_prebuilt.py downloads a per-platform whisper-server
bundle published by the unslothai/whisper.cpp prebuilt CI into the managed
whisper.cpp dir (build/bin/whisper-server) so local dictation needs no
compiler. Mirrors install_node_prebuilt.py / install_llama_prebuilt.py:
host + backend detection, sha256 pins (whisper_prebuilt_pins.json) as the
trust anchor, staging + install lock + atomic swap, traversal-safe extract,
co-located shared libs (RUNPATH=$ORIGIN), an UNSLOTH_WHISPER_PREBUILT_INFO.json
marker with idempotent "already matches", and exit codes 0/1/2/3. Not wired
into setup yet; the pins ship empty so every asset fails closed until the
first fork release is published and its digests are reviewed in.
* Studio STT: install prebuilt whisper.cpp during setup and update
Add a fail-open whisper.cpp block to setup.sh after the llama.cpp section so
`unsloth studio update` (and a fresh install) fetch the prebuilt whisper-server
into the managed whisper.cpp dir the sidecar discovers. It skips a user-set
WHISPER_SERVER_PATH/UNSLOTH_WHISPER_CPP_PATH, honors UNSLOTH_SKIP_WHISPER_INSTALL,
forwards the resolved ROCm gfx, and never aborts setup: a busy install keeps the
existing runtime, and an unavailable prebuilt stays quiet (source build is opt-in
via UNSLOTH_WHISPER_FORCE_COMPILE) since Transformers STT and browser dictation
remain. Register UNSLOTH_WHISPER_PREBUILT_INFO.json as Studio-owned evidence.
* Studio STT: harden whisper-server child env + WSL ROCm detection
- Sidecar spawns whisper-server with a scrubbed child env that prepends the
binary dir (co-located GPU libs) to the loader path, and on WSL2 ROCm loads
the system HIP first (HSA_ENABLE_DXG_DETECTION=1) so a bundle's bare-metal HIP
does not segfault on /dev/dxg. Secret-bearing vars are dropped from the child.
- find_whisper_server_binary now requires an executable, not just a file.
- Installer rocm probe passes HSA_ENABLE_DXG_DETECTION and falls back to
/opt/rocm/bin/rocminfo so a WSL ROCm host is not misdetected as CPU-only;
gfx parsing skips the gfx000 CPU agent and generic ISA lines.
- Tests for the child env (secret scrub, lib dir, WSL HIP precedence), the
executable check, and the WSL rocm detection.
* Studio STT: in-app whisper.cpp prebuilt update stack + ship pins in the wheel
Mirror the llama.cpp update stack for the whisper.cpp prebuilt so Studio can
detect and install a newer whisper-server release from inside the app:
- backend/utils/whisper_cpp_freshness.py: read UNSLOTH_WHISPER_PREBUILT_INFO.json
and compare the installed release against the newest unslothai/whisper.cpp
release. Whisper tags are v<upstream>-unsloth.<N>, so is_behind compares a
(major, minor, patch, serial) key with a strict downgrade guard; 24h cache;
fail-open.
- backend/utils/whisper_cpp_update.py: run install_whisper_prebuilt.py to fetch
and atomically swap the newest bundle, unloading the warm GGUF sidecar first.
- backend/routes/whisper.py mounted at /api/whisper (update-status + update).
- pyproject: add whisper_prebuilt_pins.json to studio package-data so the
installer's trust anchor ships in the wheel (it is a data file, not a .py
module, so package discovery alone does not include it; node_prebuilt_pins.json
is listed for the same reason). Without this a pip-installed wheel had no pins
and the prebuilt install aborted to Transformers STT.
Adds test_whisper_cpp_freshness.py (version parser, is_behind matrix + downgrade
guard, marker layouts, stale decision, fail-open).
* Studio STT: verify whisper prebuilts via the release checksum index, like llama.cpp
Re-align the whisper.cpp prebuilt installer to install_llama_prebuilt.py's trust
model: instead of a committed whisper_prebuilt_pins.json, verify every download
against the release's own whisper-prebuilt-sha256.json checksum index, fetched
from the same GitHub release.
- parse_release_checksums / fetch_release_checksums / expected_sha256_for replace
the pins layer. The index is validated for schema/component and that its
release_tag matches the resolved release; an asset absent from it, a release
that does not publish it, or a manifest sha256 that disagrees with it all fail
closed to a source build.
- resolve_release_tag now resolves the newest published release at runtime (or an
explicit --published-release-tag), matching llama and the freshness check;
removed the pinned-default and the UNSLOTH_WHISPER_ALLOW_UNVERIFIED opt-in.
- Delete studio/whisper_prebuilt_pins.json and drop its pyproject package-data
entry (nothing to ship now, same as llama which has no committed pins).
- Adds test_install_whisper_prebuilt_checksums.py (index parser, fail-closed on
uncovered asset, tampered-manifest guard, newest-release resolution).
This is a same-origin checksum (integrity, not authenticity), identical to the
llama.cpp installer; pair releases with GitHub artifact attestations for provenance.
* Resolve whisper prebuilt release via the download host (no GitHub API)
Mirror install_llama_prebuilt.py's fast path: resolve the release tag from
the releases/latest redirect and fetch the manifest + checksum index from
constructed releases/download URLs, so the common install path makes zero
api.github.com calls (unauthenticated api.github.com is capped at 60 req/hour
per IP; the download host is not). Fall back to the GitHub API only on a 404,
malformed asset, or tag mismatch.
* Studio STT: coverage-aware whisper prebuilt selection via a shared core
whisper's select_artifact returned the first os/arch/backend manifest match and
ignored the SM-coverage fields the release manifest already carries, so a
Blackwell B200 (sm_100) was served cuda12-legacy (sms 50-61) -- runnable only via
forward PTX JIT. install_llama_prebuilt.py on the same host correctly picks
cuda13-newer.
Extract the coverage-aware selection into a shared, component-agnostic core under
studio/backend/utils/prebuilt/ (selection + GPU host-capability detection), lifted
from llama's linux_cuda_choice_from_release / _artifact_covers_sms / _sm_range and
generalised over a normalised artifact. whisper's HostInfo now records the GPU
compute caps + driver CUDA version (honoring CUDA_VISIBLE_DEVICES), and
select_artifact routes CUDA/ROCm through the shared selector: every visible SM
must be covered, the tightest-covering profile wins (Blackwell-aware runtime-line
ordering), ROCm matches the gfx target exactly, and an uncovered GPU falls back to
the CPU bundle. CPU/Metal/Vulkan keep first-match. The resolver JSON, exit codes,
and "already matches" contract are unchanged.
On the B200 the installer now resolves cuda13-newer, matching llama.
* Studio STT: gate whisper CUDA selection on the on-disk runtime, like llama
The prebuilt CUDA bundles are dynamically linked and intentionally do NOT ship
libcudart/libcublas -- they load the same runtime the host already has. So the
driver's advertised CUDA version is only an upper bound: a cuda13 bundle still
needs cuda13 runtime libraries present on disk. Port llama's on-disk runtime
scan (detected_linux_runtime_lines / detected_windows_runtime_lines) into the
shared core and intersect it with the driver-compatible lines in
select_cuda_attempts. A host with a cuda13 driver but only cuda12 runtime (e.g.
torch-cuda12) now correctly gets a cuda12 bundle instead of an unloadable cuda13
one; a host with no CUDA runtime at all falls back to CPU.
Fixes a glob bug in the port (any(Path(d).glob(p) for d in dirs) tests generator
truthiness, not a match) that made every major report present; add a real
filesystem test that exercises the scan.
* studio: harden shared prebuilt core to full llama parity
Apply the review findings on the shared coverage-aware prebuilt-consumer
core so whisper.cpp selection is exactly equivalent to the llama.cpp path.
hosts.py: port llama's CUDA_VISIBLE_DEVICES handling. A GPU hidden by an
index/UUID selector now reports has_usable_nvidia False instead of staying
usable, via supports_explicit_visible_device_matching plus the physical /
explicit-match branches, and _select_visible_rows now matches rows the way
llama does (index or UUID, gpu- prefix optional) and skips unmatched tokens
rather than keeping all rows. Adds the Linux /proc/driver/nvidia/gpus
fallback and has_physical_nvidia. Adds parse_macos_version.
runtime_libs.py: the Linux on-disk scan now requires the exact libcudart /
libcublas SONAME (libcudart.so.13), not a libcudart.so.13* glob, so a bare
versioned file without the SONAME symlink no longer counts as loadable.
Hardens the ldconfig parse against an empty left-hand side.
selection.py: fix the Blackwell/torch reordering so it keys on the covering
runtime lines (falls through to the torch preference when the covering lines
were filtered out), matching linux_cuda_choice_from_release. Corrects the
compatible_runtime_lines_for_driver docstring: the bundles do not ship the
CUDA runtime, so the driver version is only an upper bound and the caller
must intersect with the on-disk scan.
install_whisper_prebuilt.py: enforce a macOS artifact's min_os (new
HostInfo.macos_version) so a bundle that cannot load on the host OS version
is dropped. Keep resolver stdout to only the JSON line by leaving logs on
stderr in --resolve-prebuilt mode, and map an unexpected probe failure to
prebuilt_available False instead of a traceback.
Tests: new host-probe suite for the visible-device logic, exact-SONAME
runtime-scan cases, macOS min_os filtering, resolver stdout-only-JSON,
exit-code mapping, and the repo key.
* studio: fix whisper prebuilt selection + launch parity gaps from review
A parallel review surfaced integration defects where the whisper path could
select or launch a bundle that cannot run on a concrete host. Each is fixed to
match install_llama_prebuilt.py.
macOS min_os: the manifest labels macOS requirements as macos-<version>
(e.g. macos-14.0), which the version parser could not read, so the guard was a
no-op and a macOS-13 host would install the macos-14 Metal bundle. Strip the
platform prefix before parsing.
ROCm gfx detection: _detect_rocm_gfx returned the first gfx token and ignored
HIP_VISIBLE_DEVICES / ROCR_VISIBLE_DEVICES / CUDA_VISIBLE_DEVICES. Since exact
ROCm matching treats that token as the active GPU, a mixed APU + dGPU host
(gfx1151 + gfx1100) with HIP_VISIBLE_DEVICES=1 installed the wrong archive. Route
through a shared pick_rocm_gfx_target (lifted from llama) that parses per-GPU
sections and honors the visibility vars (empty / -1 -> no AMD GPU).
--rocm-gfx override: recording the arch without setting has_rocm left the host on
its CUDA/CPU path so the ROCm bundle was never picked. --rocm-gfx now implies
has_rocm and clears NVIDIA state, like llama's _apply_host_overrides.
CUDA launch env: a CUDA bundle ships the ggml CUDA backend but not
libcudart/libcublas, and the sidecar launch env exposed only the bundle dir, so
on a host whose CUDA runtime lives only in the PyTorch wheels the selection would
gate cuda usable but the server could not load it. Add the CUDA-from-PyTorch
runtime dirs to the child loader path for CUDA bundles (bundle dir still first),
mirroring binary_env.
Also normalize a manifest artifact's supported_sms defensively (parity with
llama's parser) and document that blackwell_min_toolkit_for_caps is retained for
the Phase B llama Windows path.
Not changed (verified parity, not defects): Linux/Windows min_os is enforced
nowhere in llama (macOS only); the resolver is optimistic about the checksum
index and the install path verifies.
* studio: tighten prebuilt-core code comments
* studio: lift shared prebuilt installer core out of the whisper installer
* studio: reuse the llama.cpp prebuilt installer machinery for whisper
* studio: unify llama and whisper prebuilt installers on a shared descriptor core
* studio: consolidate prebuilt installer tests into the shared core suite
Grow tests/studio/install/test_prebuilt_core.py from 62 to 164 tests so every
component-agnostic behavior runs against both descriptors: the full seven
profile CUDA release matrix (multi-GPU, on-disk runtime gating, shuffle
stability, missing SM metadata, dotted SM normalization, no-driver fallback
policy), the ROCm gfx family matrix, macOS min_os gating and its helper,
backend resolution incl. cpu-fallback precedence and Intel-mac auto detect,
checksum-index non-object and plain-lookup cases, the tar symlink/hardlink
extraction guards moved from the llama suite, and the compute-cap, visible
device, runtime-line and Blackwell helper value tables moved verbatim from
the llama characterization suites.
Delete only tests whose exact behavior the master now asserts for the same
component: 40 pure-alias helper cases in test_selection_logic.py (replaced by
value-identical master tables plus an alias-identity pin), 6 extraction moves
and the master-absorbed zip-symlink case in the llama logic suite, 3 routing
twins in test_rocm_support.py already pinned byte-for-byte in
test_selection_logic.py, the 2 Blackwell helper tables in the backend resolve
suite, 28 whisper logic tests and 10 whisper checksum tests re-asserted by
the master whisper parameterization. Wrapper wiring pins, the llama release
plan dialect, fingerprints and every llama-only behavior stay untouched.
* studio: dedupe sidecar and update helpers into the backend prebuilt package
* studio: chain whisper.cpp prebuilt updates onto the llama.cpp update flow
* studio: consume paired slim whisper prebuilts via the llama ggml runtime
* studio: serve every whisper backend from slim prebuilts
* studio: drop the whisper fat per-accelerator selection chain
unslothai/whisper.cpp releases are slim-only from v1.9.1-unsloth.2: one
ggml-less bundle per os/arch, paired to the llama.cpp prebuilt that provides
every ggml backend. Delete the whisper-side fat CUDA/ROCm/metal/vulkan
selection glue; keep slim selection + pairing, link_ggml_runtime, and one
legacy shape, the published fat CPU bundle of an explicitly pinned pre-slim
release. Exit 2 now reads as prebuilt unavailable (whisper never source
builds); setup already treats it that way.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Wire libomp runtime DLL alongside ggml in slim whisper installs
llama's clang-built windows-arm64 ggml-base.dll imports
libomp140.aarch64.dll, shipped in the llama bundle but not a system DLL.
Without it next to whisper-server.exe the loader fails with
STATUS_DLL_NOT_FOUND before main. MSVC x64 links vcomp140.dll from
System32 and Linux ggml uses system libgomp.so.1, so only windows-arm64
was affected. The empty-runtime guard still requires a real ggml
library; libomp alone is not a pairing.
* studio: drop whisper-side fat-selection support structure
Slim whisper bundles are selected per os/arch only; all accelerator
capability comes from the installed llama.cpp prebuilt, whose installer
already did the coverage-aware selection. Remove the machinery that only
existed to pick among fat per-accelerator whisper bundles:
- prebuilt_core: delete the generic CUDA/ROCm coverage selection
(select_cuda_artifact, select_rocm_artifact, ArtifactView adapters,
detected_cuda_runtime_lines, the exact-SONAME linux probe) that no
shipped component routes through; llama keeps its own selection chain
and whisper shadows select_artifact with the slim-only version.
select_artifact is now a plain os/arch/backend first-match.
- install_whisper_prebuilt: drop the HostInfo CUDA fields
(compute_caps, driver_cuda_version, torch_runtime_line) and the torch
runtime probe that populated them; nothing reachable reads them, and
the resolver payload sources runtime_line from the artifact.
- whisper_cpp_update: delete the standalone start_update job worker;
whisper applies only run as the chained phase of the combined
llama+whisper update. The status payload keeps its job field (idle).
- routes/whisper: drop the progress logger that could never fire.
- tests: remove tests of the deleted paths and tests duplicating the
descriptor-parameterized core suite or the llama freshness suite.
Contracts unchanged: resolver JSON keys, exit codes, marker fields,
pairing logs, and the pinned pre-slim fat CPU escape hatch.
* Address review feedback on the whisper prebuilt update and install paths
- Pin the chained whisper phase to the release the freshness check
offered, so the download-host latest pointer cannot reinstall an
older build in a loop
- Wire the whisper prebuilt install into setup.ps1 (Windows setup
previously skipped it entirely)
- Treat a non-executable server or missing wired ggml libraries as a
broken install instead of reporting already matches
- Keep whisper sidecar reloads out of the job-level reload flag and
resync chat state after a partial chained update that unloaded llama
- Repoint home and profile vars for the whisper-server subprocess at a
managed scratch dir and drop credential-store pointers
- Clear the prebuilt marker before the opt-in source build overwrite
- Write the prebuilt marker with explicit utf-8 encoding
* Tighten comments in the whisper prebuilt consumer
* Harden the Windows whisper setup phase and the chained update edges
- setup.ps1: honor WHISPER_SERVER_PATH / UNSLOTH_WHISPER_CPP_PATH /
UNSLOTH_SKIP_WHISPER_INSTALL, run the custom-home ownership guard
before the atomic install, and forward the release-tag pin and ROCm
hints like setup.sh
- sidecar: a cpu-selected install launches whisper-server with --no-gpu
(slim wiring links every llama backend, so the flag is what keeps a
deliberate CPU choice off the GPU)
- chained update: leave whisper unpinned on macOS (the llama phase can
walk back there, and a newest-tag pin could be an impossible pairing
on every retry) and treat installer exit 2 as kept-existing-runtime
instead of failing the combined job
- job.to_tag now comes only from the llama phase, so a whisper-only
round cannot report a llama update that never ran
* Fix slim whisper runtime follow-ups
* Address remaining whisper update reviews
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Address remaining prebuilt update reviews
* Fix remaining chained update reviews
* Fix remaining whisper runtime review edges
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: danielhanchen <unslothai@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: oobabooga <112222186+oobabooga@users.noreply.github.com>
---------
Co-authored-by: danielhanchen <danielhanchen@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Unsloth <michaelhan@Michaels-MacBook-Pro.local>
Co-authored-by: oobabooga <112222186+oobabooga@users.noreply.github.com>
Adds a configurable Hugging Face model download cache location to Unsloth Studio, selectable from Settings, with per-cache download manifests, scoped deletion, and read-only inventory of previously selected caches.
* Studio: drive UI font size through a typography scale, not the root font size
Follow up to #7355. The preference now writes --ui-font-scale
(selected / 16) and a data-ui-font-size attribute on the root instead
of mutating the root font size, and the applier clears any stale inline
root font-size left by older builds. Because the rem base never moves,
every layout-only rem-to-px conversion from #7355 is reverted to its
original form: the spacing, radius and container tokens, sidebar and
thread widths, grid tracks, calc margins and hub.css dimensions match
pre-#7355 main again, which also restores rem-based accessibility
scaling for users with a larger browser default font size.
Typography scales through tokens in index.css, all exact at 16px:
- The named Tailwind sizes (--text-xs through --text-4xl) multiply
their defaults by the scale, so standard utilities scale
- One token per design px size (--text-ui-8 ... --text-ui-34) replaces
every arbitrary text-[Npx] class; leading-ui-* mirrors the exact
line heights and the numeric --leading-3..10 scale as well
- CSS font-size and line-height declarations multiply by the scale
- Chart labels scale through a .recharts-text rule; streamdown and
react-flow px text is re-based via scaled overrides; KaTeX's 1px
layout trick stays fixed by design
- The logo lockups keep their half-rate behavior via the scale var
- The explicit Code font size remains unmultiplied
Keeps the #7355 behavior fixes: color chip min width, voice select
min/max widths, and the select and dropdown menus scrolling an inner
viewport so their corners stay rounded. The whitespace-password and
IME rename guards that merged alongside are preserved.
* Studio: contract and Playwright coverage for the UI font size scale
test_ui_font_scale_contract.py pins the mechanism (scale var written,
root font size never mutated, tokens scaled, code font size not
multiplied, the Radix select viewport owning scroll state) and guards
against new raw pixel typography, with a documented allowlist for the
recharts fontSize props covered by the stylesheet override and the
offscreen clipboard textarea.
playwright_ui_font_scale.py drives the real appearance controls: root
font size fixed at 12/16/20, text and line height scale by size/16,
sidebar width invariant, explicit code font size stays fixed, an
overflowing dictation select scrolls its Radix viewport by keyboard
and wheel, and the default restores exactly. Wired into the UI smoke
workflow against the second studio boot.
The thinking-compact and descender contracts move back to the rem and
token forms now that layout values no longer need px pinning.
* Studio: make UI font size scale all text without moving layout
The UI font size setting changes the root rem base, so only rem sized
text reacted. Hundreds of px text classes, px font sizes in CSS, and
chart labels stayed fixed, while rem based padding, widths and radii
wrongly grew.
Convert all text sizes to rem so every font follows the setting, and
pin spacing, radius, container widths, sidebar and thread widths to px
so layout no longer follows the rem base. Library styles (streamdown,
react-flow) are re-based via overrides. All conversions are exact at
the default 16px root, so the default rendering is unchanged.
* Studio: keep logo at fixed size and fit tight controls at large UI fonts
The logo lockups (sidebar wordmark with beta badge, onboarding wizard)
are branding and now keep px sizes at any UI font size.
Two controls clipped their text at the largest setting: the appearance
color chips (fixed w-24) and the voice tab selects (fixed w-56). Both
use min widths now, so they keep the default look at 16px and only
grow when the text needs the room.
* Studio: keep dropdown corners rounded when the menu scrolls
A scrolling dropdown lost its rounded corners on the scrollbar side:
WebKit paints the surface square when the rounded element itself hosts
the scrollbar, which shows up in the desktop app whenever a menu
overflows, for example at larger UI font sizes.
Dropdown menu and select content now clip with overflow hidden and
scroll an inner viewport instead. The surface padding insets the
scrollbar clear of the curve, so corners stay rounded in every engine.
Submenus are unaffected since sub content is portaled.
* Studio: scale the logo lockups at half the UI font size rate
Rather than pinning the logo, the sidebar lockup (sticker, wordmark,
beta badge) and the onboarding lockup now follow the UI font size at
half the rate of the change: size = base + (root - 16px) / 2, written
as calc((base - 8)px + 0.5rem). A 4px font size change moves the logo
by 2px, and the default 16px root renders the exact base sizes.
* Studio: address review feedback on leading, grid tracks and select scrolling
Numeric leading utilities (leading-3 through leading-10) derive from
--spacing, so pinning spacing to px also froze their line-heights while
the paired text sizes now scale. Define them as rem theme tokens so
line-height follows the UI font size again; values are identical at the
16px default.
Convert the grid tracks the rem-to-px codemod missed (rem followed by
an underscore escaped the word boundary): the response details label
column and the on-device folder rows.
Make the Radix select viewport the bounded scroller instead of a
wrapper div, so Radix's scroll handling and the browser scroll the same
element. Restore the app's thin scrollbar with an inline style, which
beats the scrollbar hiding stylesheet Radix injects at runtime.
* Studio: cap voice select widths and update CI contracts
* installer: fix Linux AMD GPU detection + actionable ROCm-less warning
The rocminfo/amd-smi-less fallback in _has_amd_rocm_gpu keyed on a
/gpu_id/ line inside each KFD node's properties file, but gpu_id is a
separate sibling sysfs file and never appears in properties. The guard
never matched, so the fallback missed every AMD host without ROCm
tooling (e.g. a fresh CachyOS/Arch box) and reported 'no GPU detected'
despite vendor_id 4098 being present in the KFD topology.
Detect via vendor_id == 4098 directly: the KFD CPU node reports
vendor_id 0, so any 4098 node is an AMD GPU, while NVIDIA's KFD nodes
report 4318 and stay excluded.
Also rework the 'ROCm version could not be determined' warning into an
actionable message (install the ROCm/HIP SDK; Arch/CachyOS:
rocm-hip-sdk) so ROCm-less users know the concrete next step instead of
silently landing on CPU-only PyTorch.
* tests: replace the FNR==1 KFD invariant with the per-line vendor_id check
The FNR==1 reset guarded the old paired gpu_id+vendor_id awk against
cross-node state leakage. The new detection is a single atomic
vendor_id==4098 line condition, so there is no per-node state to reset;
assert the new invariant instead (single-line vendor match, and no
/gpu_id/ pattern, which never matched inside properties).
tests/studio/install/test_rocm_support.py: 344 passed, 2 skipped.
* installer: mirror the KFD vendor_id fix in setup.sh + honest CPU-fallback summary
Codex P2 follow-ups:
- studio/setup.sh carried the same dead gpu_id-inside-properties awk, so a
host install.sh now routes to ROCm still failed setup's independent AMD
re-probe and got a CPU llama.cpp. Use the same per-line vendor_id 4098
check.
- When the AMD GPU is detected but the torch index stays CPU, the summary
printed the old false diagnosis (gpu none / "No GPU detected"). Gate both
on _has_amd_rocm_gpu and say what actually happened: AMD GPU present, no
usable ROCm, CPU fallback.
- Structure test asserting setup.sh's KFD awk stays in sync with install.sh.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Keep KFD-only AMD hosts on the CPU fallback (Codex P2s)
The KFD-topology fix makes _has_amd_rocm_gpu / _setup_amd_detected true on hosts that expose an AMD GPU to the kernel but ship no rocminfo/amd-smi. Detection alone does not mean ROCm is usable or that the gfx arch is known, and two downstream paths wrongly assumed it did:
- studio/setup.sh forwarded --has-rocm with no gfx, so install_llama_prebuilt found no per-gfx bundle and dropped to a HIP source build (slow, or a hard failure without build deps) instead of the CPU prebuilt these hosts used to get. Now --has-rocm is forwarded for a gfx-unknown host only when hipcc is present; otherwise it keeps the CPU prebuilt.
- install.sh get_torch_index_url selected a generic rocmX.Y index whenever the ROCm version was readable, but the Strix reroute only learns gfx from rocminfo/amd-smi, so a Strix KFD-only host landed on the broken _grouped_mm wheels. Now, when neither rocminfo nor amd-smi is present (gfx unknowable), it stays on CPU with a hint to install them.
Detection and the improved diagnostics are unchanged; only the routing for gfx-unknown KFD-only hosts is made safe. Adds tests for both gates.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Harden KFD-only fallback: probe gfx, accept versioned hipcc (Codex P2s)
Follow-up to the previous commit's two guards:
- install.sh: the KFD-only torch guard tested only 'command -v rocminfo/amd-smi', so a host where those binaries exist but do not enumerate the GPU (gfx unreadable) slipped through and, with hipconfig/rocm-core present, still got a generic rocm index -- breaking Strix. Now it actually reads the gfx (rocminfo, then amd-smi list / static --asic, the same probe the reroute uses) and falls back to CPU whenever the arch is unreadable, not just when the binaries are absent.
- studio/setup.sh: the hipcc gate missed a HIP toolchain installed only under a versioned prefix (/opt/rocm-*/bin/hipcc), which the source build at setup.sh:1663 does support, so such hosts were dropped to the CPU prebuilt unnecessarily. The gate now also accepts /opt/rocm-*/bin/hipcc.
Tests updated to assert the gfx-read (not binary-presence) gate and the versioned hipcc path; full test_rocm_support.py green (347 passed). Verified the gfx probe by execution: rocminfo-with-no-gfx now routes to CPU, amd-smi fallback still resolves gfx.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Honor UNSLOTH_ROCM_GFX_ARCH before the CPU fallback for PR #7314
Seed both the gfx-unknown guard in get_torch_index_url and the Strix reroute
from UNSLOTH_ROCM_GFX_ARCH before probing rocminfo/amd-smi, so a host that
names its arch reaches the correct rocm index instead of being forced to CPU
(or to the generic wheels) when the runtime probes can't enumerate the GPU.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Probe gfx with visibility masks cleared for PR #7314 (Codex P2)
rocminfo/amd-smi honor ROCR/HIP_VISIBLE_DEVICES, so a container that masks the
GPU (e.g. ROCR_VISIBLE_DEVICES=-1) would make the gfx probe read nothing and
force CPU torch, even though the KFD-based AMD detection is env-independent and
hipconfig can still supply the ROCm version. Clear the visibility masks for the
rocminfo/amd-smi arch probe only (the Strix reroute keeps them for per-GPU index
selection), so a masked/container host keeps its ROCm route.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Re-probe gfx unmasked in the Strix reroute when a mask hides all agents for PR #7314 (Codex P2)
* Remove leftover conflict marker from the test merge
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Report an explicit CPU pin instead of a ROCm misdiagnosis for PR #7314 (Codex P3)
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Trigger the reroute re-probe on a set-but-empty visibility mask for PR #7314 (subagent review)
* Guard the ROCm version chain against set -e when no source exists for PR #7314 (simulation find)
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Preserve the inferred-gfx reroute for KFD-only hosts (Codex P2)
The gfx-unknown CPU guard in get_torch_index_url fired before the
runtime-less reroute could run: with the KFD topology fix,
_has_amd_rocm_gpu is true on KFD-only hosts, so the reroute's
'! _has_amd_rocm_gpu' gate never let _infer_linux_amd_gfx_arch route
them to AMD per-arch wheels, regressing inferable boxes (PCI/cpuinfo/
lspci) from arch-specific PyTorch to CPU-only.
- Factor the override->rocminfo->amd-smi gfx probe (masks cleared)
into _probe_amd_gfx_arch, shared by the guard and the reroute gate
so the two can't disagree on what 'readable' means.
- Reroute gate now also fires when the GPU is detected but the probe
is empty (KFD-only). Deliberate CPU fallbacks (old/unreadable ROCm
version) all had a readable gfx and stay excluded.
- The guard defers to the reroute (no false 'installing CPU-only
PyTorch' promise) only when inference yields a supported family;
otherwise the actionable CPU warning is unchanged.
Executed tests: KFD-only host reroutes to repo.amd.com per-arch wheels
and exports UNSLOTH_ROCM_GFX_ARCH for setup.sh; readable-gfx CPU
fallback stays un-rerouted; undetected-GPU reroute unchanged; the
guard's three inference outcomes covered. Suite: 375 passed, bash -n
clean on both scripts.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fix two false diagnostics on the KFD-only paths (Codex P3s)
1. get_torch_index_url: with UNSLOTH_ROCM_GFX_ARCH set on a KFD-only
host that has no ROCm version sources, the no-version endpoint
printed 'falling back to CPU-only PyTorch' even though the reroute
(gated on the override) then installs the per-arch wheels. When the
override maps to a wheel family, defer with an accurate message;
an unmappable override keeps the CPU warning since the reroute
can't route it either.
2. Runtime-less reroute: the KFD-only branch reached the warning
'ROCm runtime not visible (/dev/kfd, rocminfo, amd-smi)' although
/dev/kfd is exactly what detected the GPU. The diagnostic now
distinguishes KFD-visible/tooling-blind hosts from truly
runtime-invisible ones.
Executed tests: supported override defers without the false CPU
warning, unsupported override and readable-gfx no-version hosts keep
it; KFD-only reroute emits the KFD wording, undetected-GPU reroute
keeps the original. Version sources are shimmed so the tests hold on
dev boxes with a real hipconfig. Suite: 376 passed, bash -n clean.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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* fix(install): infer Strix gfx when ROCm runtime is absent
When /dev/kfd and rocminfo are missing on Linux (e.g. Arch/CachyOS Strix
Halo), route to AMD per-arch wheels via cpuinfo/lspci inference instead
of CPU-only PyTorch. Mirrors install.ps1 Windows behavior and fixes
studio update via install_python_stack.py (unslothai#7301).
* Map Radeon 8065S to gfx1151 in the Linux gfx inference (Codex P2)
install.sh _infer_amd_gfx_arch_from_gpu_name missed 8065S, so a Strix Halo host that only exposes 'AMD Radeon 8065S' via lspci (no Ryzen AI Max branding in /proc/cpuinfo) was left on CPU torch. setup.sh and setup.ps1 already list 8065S -> gfx1151. Added it, and widened the cpuinfo regexes (install.sh and install_python_stack.py) from Radeon 80[0-9]0S to 80[0-9][05]S to match the 80X5S naming, consistent with the display-side check already in install.sh. Tests cover the 8065S name and the cpuinfo-only case.
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* Gate the Linux gfx inference out of WSL without the ROCDXG runtime for PR #7305
On WSL /proc/cpuinfo and lspci still see the host APU, so a standalone
'unsloth studio update' could infer gfx1151 and install per-arch ROCm wheels
into a WSL env whose ROCDXG bridge (librocdxg) was never bootstrapped, i.e. one
that cannot expose the GPU. Skip the cpuinfo/lspci inference on WSL unless
librocdxg is present; an explicit UNSLOTH_ROCM_GFX_ARCH override still wins.
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* Address Codex review on PR #7305 (WSL runtime gate, Linux mirror, arch guard)
- install.sh _infer_linux_amd_gfx_arch: skip the cpuinfo/lspci inference on WSL
unless librocdxg is present (the ROCDXG bridge), mirroring the Python fix, so a
WSL box whose ROCm bootstrap was skipped keeps the CPU fallback instead of
installing AMD wheels that cannot reach the GPU. The explicit UNSLOTH_ROCM_GFX_ARCH
override still returns first, so it stays authoritative.
- install.sh: guard the inferred-gfx reroute on x86_64|amd64. ROCm torch wheels are
not published for arm64, so an inferred/overridden gfx no longer pushes an arm64
host to the AMD arch index (get_torch_index_url returns CPU there).
- install_python_stack.py _amd_arch_index_url: honour UNSLOTH_AMD_ROCM_MIRROR on
Linux (the same var install.sh uses) instead of the Windows mirror var, so a
mirrored/air-gapped Linux 'unsloth studio update' reaches the index install.sh
chose. Windows still delegates unchanged; both default to repo.amd.com.
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* Scan all AMD display controllers in the lspci fallback for PR #7305 (Codex P2)
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* fix(studio): keep inferred AMD wheels from being overwritten
After a successful inferred-gfx install, skip the generic pytorch.org
ROCm reinstall so readable ROCm userland without /dev/kfd cannot undo
the per-arch repair (Codex P1 on #7305). Also merge latest main.
* Only take the inferred-gfx install when the runtime sees no GPU for PR #7305 (Codex P1)
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* Isolate three updater tests from the host cpuinfo for PR #7305 (Strix dev box leak)
* Gate the reroute on invisible ROCm and forward the inferred gfx to setup.sh for PR #7305 (Codex P2s)
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* Require AMD PCI display evidence for cpuinfo inference; honor gfx override with visible ROCm for PR #7305 (Codex P2s)
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* fix(install): route Strix to AMD gfx index on ROCm 7.14
When ROCm 7.3+ caps to the generic pytorch.org rocm7.2 index (or the
Radeon repo is unavailable), gfx1150/gfx1151 hosts were left on
torch 2.11+rocm7.2 instead of AMD's arch-specific wheels. Broaden the
Strix reroute in install.sh and studio/install_python_stack.py so
`studio update` repairs the same path as fresh installs (unslothai#7280).
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* install.sh: route Strix (gfx1151/gfx1150) to the AMD arch index on rocm7.2, add PCI hint
Two Linux install fixes for AMD Strix Halo / Strix Point:
1. #7264: Strix reverts to rocm7.2. Modern ROCm (7.3+) caps to the generic
rocm7.2 index and the Radeon repo can be unavailable, so gfx1151/gfx1150
landed on a non-arch-specific build (torch 2.11+rocm7.2) instead of
repo.amd.com/rocm/whl/gfx<arch> (torch 2.11+rocm7.13, AMD's real Strix
fixes). The reroute to that arch index only fired on rocm7.1; broaden it to
rocm7.2 too. Only acts when a gfx1151/gfx1150 is actually detected, so other
arches on rocm7.2 pass through unchanged.
2. Rows about Strix not detected -> CPU-only: when no GPU is detected but an AMD
display GPU is on the PCI bus, print a targeted hint (ROCm kernel stack /
/dev/kfd missing) instead of only the generic docs pointer. Purely
additive diagnostic; does not change the torch index decision.
* Address review on PR #7293: gate PCI hint on ROCm-detection failure, fix test marker, use read builtin
- Only show the 'ROCm cannot see the GPU' hint when _has_amd_rocm_gpu fails;
a detected-but-too-old ROCm (rocminfo works, wheels need 6.0+) has its own path.
- Update test_previous_torch_pin.sh to the stable 'Strix Halo / Strix Point:'
marker after the heading reworded (the old grep broke the ordering assert).
- _amd_gpu_present_via_pci: read builtin instead of spawning cat twice per
device, and guard /sys/bus/pci/devices existence.
* install.sh: reroute Strix on any generic index older than the arch build
Generalize the Strix reroute from the hardcoded rocm7.1/rocm7.2 match to a
version compare against the arch index's own build (rocm7.13):
- backwards: rocm6.0-6.4 and rocm7.0 now reroute (were silently missed)
- forwards: any future intermediate rocm7.x below 7.13 reroutes; rocm7.13+
is left alone so a generic index that already carries the fix is not
downgraded to the arch build
_rocm_index_below does an integer major.minor compare (so rocm7.2 < rocm7.13);
non-rocm, arch (gfx), and unparseable URLs return false, so NVIDIA/CPU and the
arch index itself are untouched. Reroute still fires only for gfx1150/gfx1151.
* install.sh: tighten _amd_gpu_present_via_pci comment (no code change)
* install.sh: match the index leaf in the Strix version reroute (#7293 review)
Address two review points on the rocm-version reroute:
- Parse the final path segment (_torch_index_leaf) instead of grepping the whole
URL. A custom mirror whose base path holds its own rocm token (e.g.
.../rocm7.13/cache/rocm7.2) previously matched the base and skipped the reroute;
now it compares the leaf (rocm7.2) like the nearby index-family logic. Renamed
the helper to _rocm_leaf_below and switched the case selector to $_torch_index_leaf.
- Replace the stale test_strix_override_only_fires_on_rocm71 (which passed by
matching the new rocm7.13 comment) with an executed test that runs _rocm_leaf_below
and asserts rocm6.0-7.12 reroute while rocm7.13+/gfx/cu leaves do not.
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* install.sh: keep gfx probes non-fatal under set -e (#7293 review)
The Strix reroute now matches every rocm* index, not just rocm7.1, so its gfx
detection runs on all AMD installs. Each `_gfx_all=$(rocminfo|amd-smi | grep -oE
gfx...)` returns 1 when grep finds no match, which under set -euo pipefail aborts
the installer before the next fallback runs (e.g. rocminfo present but emitting no
gfx token). Append `|| true` to the three probes, matching the display block that
already guards this. Add an executed regression test (shimmed rocminfo/amd-smi)
that fails if any probe becomes fatal again.
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* Studio: show HF token tick only after validation
* Studio: prevent stale HF token validation state
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* Fix Studio desktop reliability
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* Fix desktop export completion and layout migration
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* Fix maximized setup layout migration
* Adapt desktop exports to data settings
* fix(studio): harden desktop reliability edge cases
* fix(studio): preserve rounded combobox focus fill
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* refactor(studio): move chat model picker into features/model-picker
Relocate model-selector + its support files from components/assistant-ui
into a self-contained features/model-picker feature (own barrel), mirroring
the modular Hub layout. Pure move + import repoint; no behaviour change.
* feat(model-picker): add per-model config persistence layer
Superset PerModelConfig (customContextLength, kvCacheDtype, speculativeType,
specDraftNMax, tensorParallel, chatTemplateOverride, trustRemoteCode) persisted
to localStorage (unsloth_model_configs) with schema versioning + LRU budget.
KV-dtype and speculative value sets match main's sidebar (no q4_0/ngram-simple).
Reuses features/hub/lib/model-identity for normalization; adds storage-key layer
and applyPerModelConfigToRuntime (sets tensorParallel, which the old PR omitted).
* feat(picker): modular backend for chat-template validate + default fetch
New studio/backend/picker package (schemas/service/routes) mounted at /api/picker:
- POST /api/picker/validate-chat-template (Jinja syntax validation, no false positives)
- GET /api/picker/chat-template/{model_name} (default template from tokenizer_config.json,
reusing get_cache_path/resolve_cached_repo_id_case; graceful null, no model-code exec)
Frontend api/templates.ts client + hooks/use-model-defaults lazy cache. No backend
changes to the existing inference load route (per-model load fields already supported).
* feat(model-picker): bind picker on-device list to shared hub inventory
Picker now sources cached + local models from useHubInventory (the Hub's shared
store) via a thin adapter, replacing its own /api/models/* fetchers + module
caches. Hub, download manager, and picker now share one source of truth, so
completed downloads reflect in the picker automatically. Partial/live-download
rows are filtered from the cached lists (unchanged rendering). Local naming/search
preserved via additive LocalInventoryRow modelId/displayName. Variant expander,
scan-folder management, recommended-fit, search, external providers untouched.
Known minor: cached 'Downloaded date' sort tiebreak degrades to alphabetical
(hub cached rows carry no mtime); default 'recent' (load-time) sort preserved.
* feat(model-picker): per-model config step inside the picker
Picking a (non-external) model now opens an in-picker config view built from
main's current load controls (context length, KV cache dtype, speculative
decoding, draft tokens, tensor parallel) plus a chat-template editor backed by
the picker validate/default endpoints. 'Remember for this model' persists the
config per model+variant; Run forwards the config to the existing load flow via
meta.config. External models bypass the step. Two-view orchestration lives in
model-selector (single interception point); pickers.tsx call sites untouched.
trustRemoteCode dropped from PerModelConfig to preserve main's per-load consent.
* feat(chat): apply/persist per-model config through the load flow
handleCheckpointChange threads meta.config into the selection; stageOrLoad and
the autoload/Hub-run paths now apply the picker config (explicit pick or saved
remembered config) via applyPerModelConfigToRuntime before staging/loading, with
keepSpeculative set so a remembered speculative mode survives the model switch.
Replaces the old remembered-load-settings seeding (resolveInitialConfig now the
single source). SelectedModelInput carries config.
* refactor(chat): remove per-model load config from the right sidebar
The load knobs (context, KV cache, speculative, draft tokens, tensor parallel)
and the chat-template editor now live only in the picker config step. The sheet's
Model section keeps the staged Load/Cancel flow (config is applied at pick time);
sampling params, system prompt, and RAG are unchanged. Deletes the superseded
remembered-load-settings module + the store's applyRememberedLoadSettings action,
removes the now-dead sheet state/imports, and points the settings reset at
unsloth_model_configs. Delete-cleanup deferred (stale config is LRU-capped).
* fix(model-picker): remove leftover sidebar-staging cogwheel + empty Model section
The downloaded-variant gear (ModelLoadSettingsAction) staged a model straight
into the right-sidebar Run-settings flow -- the old 'configure before load' path
now fully replaced by the in-picker config step. Removed the gear + its component.
Also gate the sheet's 'Model' section to staged picks only (pendingSelection):
after the load-knob strip its content is staged-only, so it was rendering an
empty section header whenever a model was merely loaded.
* chore(chat): remove dead per-model-config setters + modelControlsDisabled
After the load-config UI moved into the picker, the store's per-model setters
(setKvCacheDtype/setSpeculativeType/setSpecDraftNMax/setTensorParallel/
setCustomContextLength/setChatTemplateOverride) had zero callers
(applyPerModelConfigToRuntime writes via setState), and the sheet's
modelControlsDisabled was unreferenced. Verified dead across the whole tree.
* fix(chat): config-step Load actually loads (ignore Load-on-selection)
Root cause: with Settings > Chat > 'Load on selection' turned OFF, the config
step's load went down the deferred-staging path -- opening the right sidebar with
'<model> is staged, not loaded yet / Choose Load model'. The in-picker config step
IS the deliberate load action, so its Load now loads immediately (or downloads +
auto-loads when not cached) regardless of the toggle. Renamed the button
'Run model' -> 'Load model' to match. Native/dropped picks still honor the toggle.
* refactor(chat,hub): retire 'Load on selection' — config step is the only load flow
The in-picker config step (and the Hub Run button) now fully supersede the old
stage-to-sidebar flow, so the Load-on-selection toggle is removed everywhere:
- chat stageOrLoad: every pick loads immediately, or downloads + auto-loads when
not cached (the previous default behaviour, now universal).
- hub Run: drops the stage branch; downloaded GGUFs load directly with their saved
per-model config (no collision with the chat config step — both end at selectModel).
- store: removed loadOnSelection field/setter/key/default; Settings>Chat toggle and
its settings-reset entry removed.
- staged sidebar section is now a download-progress view (auto-loads on completion).
No manual staging remains; stageModel is used only for background auto-load downloads.
* feat(model-picker): default chat template from GGUF + thread variant through config flow
Read the embedded tokenizer.chat_template from GGUF files (read_gguf_chat_template
in gguf_metadata) and use it as the per-model default. Plumb gguf_variant through
the picker service, /api/picker/chat-template route, frontend templates API, and
use-model-defaults so the right variant's template is fetched.
Also refine the picker config-page/model-selector wiring, drop the dead
ggufNativeContextLength runtime path, and add the per-model-config storage keys to
the settings prefs export.
* feat(model-picker): read safetensors chat template + hide editor where it has no effect
Resolve the default chat template for safetensors models: prefer the modern
chat_template.jinja, fall back to the tokenizer_config.json chat_template field,
then chat_template.json (multimodal processor), then the GGUF embedded template.
Applied to local dirs, the HF cache snapshot scan, and the HF remote fetch.
Hide the chat-template editor in the picker for safetensors models — the override
is only applied at load by the GGUF/llama.cpp backend, so editing it on safetensors
currently has no effect. GGUF keeps the editor. Nothing removed; the dialog stays
for when the safetensors apply path is wired up in a later branch.
* fix(model-picker): set legacy-migration flag only after the write succeeds
Set unsloth_model_configs_migrated only once writeMap confirms the migrated
map persisted, so a quota/storage failure no longer marks migration done and
silently drops the user's pre-existing remembered settings — the next load retries.
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* MVP model picker fixes
* MVP picker config fix
* MVP safetensors config
* MVP max seq config
* MVP max seq fix
* Fix static max tokens cap ignoring model context
* Fix picker GGUF scan parity
* fix(studio): harden model picker config loading
Apply remembered per-model configs consistently from picker and Hub loads, keep default configs from overriding standing speculative settings, add config access for direct local GGUF files, and support saving or forgetting active model settings without a reload.
* Fix model picker config flow
* Fix model picker config loads
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* Avoid recursive per-model config migration reads
* Apply the displayed context length when loading a GGUF
* Fix template validation, cached template lookup, and failed load rollback
- Validate chat templates with the loopcontrols extension so templates
that use break or continue tags pass the picker validator, matching the
inference renderer that already accepts them.
- Read the default chat template from the newest cache snapshot rather than
an arbitrary iterdir order, so an older cached revision no longer prefills
a stale template.
- Capture the runtime per-model config before a load and reapply it when the
load fails, so a failed switch leaves the active model context, KV cache,
template, and speculative settings as they were.
* Make chat template view only for safetensors models
Custom chat template overrides are applied at inference only for GGUF
models, which pass the template to llama-server. The safetensors backend
renders with the model built-in template and ignores the override, so
editing it would save a value that never loads. For safetensors the
config page now opens the template as a read-only preview with a note
that editing is not available yet. This can become editable once
inference support for custom safetensors templates lands in main.
* Fix model picker config edge cases
- Restore prior runtime config when a load no-ops for the active model
- Cap the picker validator request body via the protected prefixes
- Keep the GGUF context slider max above the loaded context
- Fetch subfolder chat templates for uncached Hub repos
- Show the compare side config when reopening the picker
* Keep saved GGUF context above the fallback ceiling
* Show the model config in the run settings sidebar
* Fix model config sidebar reset and context slider
- Stack the remember toggle and action buttons in the sidebar
- Reset the config to defaults instead of the loaded values
- Fetch the native context so the slider max is not the loaded value
* Fix model picker config and download regressions
- Run picker chat template routes off the event loop
- Depth and root guard local template directory scans
- Restore download manager flow for uncached hub picks
- Apply per model context length on reload
- Import model picker symbols from the feature barrel
* Fix model picker config and cached download sorting
- Restore load settings when a Hub run is rejected mid load
- Reuse one NumericValueInput instead of a duplicate copy
- Fix double decode of the model name in the template route
- Remove the unused reset-to-loaded settings action
- Fix cached model download sorting
* Fix model picker per-model config edge cases
Honor a saved or typed max seq length above the model's native context so
RoPE extended values are no longer clamped and silently overwritten. Allow
typing past native while the slider keeps native as a soft ceiling.
Guard the fetch success paths in use-model-defaults against an aborted
signal, and refetch when the HF token changes.
Hash the chat template content in the sidebar remount key instead of its
length. Enable reset for a GGUF whose native context is unknown, and floor
the context slider max so it can never fall below the min.
* Fix GGUF context auto-fit and gated model config token
Stop forcing a 32768 context when a GGUF native context is unknown so the backend auto-fits to VRAM again, while still honoring an explicit context edit.
Send the HF token as a query param so gated safetensors models resolve their max position embeddings.
Derive model default state during render to drop the set-state-in-effect calls.
* Fix native GGUF context ceiling and guard picker template reads
Restore the native context store field so the sidebar slider keeps the
full ceiling for drag and drop GGUFs. Limit local chat template reads to
the browse allowlist, skip malformed repo ids, and drop unused model
picker exports.
* Fix model picker lint boundaries
* Fix model picker review findings
Chat template editor never seeded its draft. Radix only calls onOpenChange
from internal events, so the seed in the nextOpen branch was dead and a model
with a saved override opened empty. Saving then cleared the override. Drop the
dead branch, treat draft as an untouched sentinel, and reset it on every close.
Uncached Hub picks could auto load a model after the user left the chat. Main
detached the staged pick on route exit and on chat context change. Carry the
context key on the pending pick and skip the load when it no longer matches.
Also clear configTarget when the picker closes, restore the onUpdated ref so
variant rows stop resubscribing on every parent render, skip the LRU write when
the entry is already most recent, import NumericValueInput relatively, and drop
the unused ModelUpdateAction barrel export.
* Preserve GGUF context on active reload
* Fix model picker per-model config regressions
- Stop reloading the already loaded model on re-pick
- Hide infra models from the chat picker
- Detect vision support on cached GGUF repos
- Honor saved maxSeqLength on auto load
- Restore default chat template for local GGUFs
- Warn on save failure and revert config on cancel
- Refetch picker inventory on open
- Persist read only per model config safely
* Fix stale model auto load
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* Fix model picker numeric input sizing and constraints
Size value inputs to their content so long context lengths are not clipped,
restrict them to numeric characters, and stop the speculative decoding label
from truncating in the sidebar.
* Fix picker CI tests and harden chat template resolution for PR #6647
- tests: point the descender guard at the moved model-selector.tsx path
- tests: exclude the disabled Reload model button from the regenerate locator so .first targets the real Regenerate
- picker/service.py: reject symlinked template/gguf leaves that resolve outside the browse allowlist (HF cache reads unchanged)
- compare mode: resolve each pane's own remembered chat template instead of inheriting the other pane's from the store
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* Protect future-schema per-model configs from deletion for PR #6647
savePerModelConfig already refuses to overwrite a stored config whose schema version is newer than this client understands, but deletePerModelConfig did not. Unchecking Remember on an older client therefore silently destroyed a newer client's saved config. Apply the same guard on delete and surface the blocked case through the existing saveFailed toast.
* Protect future-schema per-model configs from quota eviction for PR #6647
The save and delete guards already refuse to touch a stored config whose schema version is newer than this client understands, but the quota-eviction path did not, so a full store on an older client could still evict a newer client's config. Skip future-schema entries when evicting and fail the save if the budget cannot be met without them.
* Fix GGUF context persistence, compare context, and rollback settings for PR #6647
Persist a GGUF context override from the user's intent instead of collapsing it against the loaded context, which reintroduced the context-reset (f4838782cb reverted the native-baseline fix). model-config-page now collapses the saved value against native, and use-chat-model-runtime and chat-adapter retain the requested context on load so re-saving another setting keeps the override; a null request stays null so a VRAM auto-fit never becomes a stored override.
shared-composer: a compare pane with no explicit GGUF context now loads at native (0) like single-view, not the session maxSeqLength that silently shrank the shown context.
use-chat-model-runtime: restore the previous model's KV cache dtype and chat template on a failed-load rollback so it runs as it was, not with backend defaults.
* Preserve native path token when reloading the active model for PR #6647
handleReloadActiveModel rebuilt the selection without the store's activeNativePathToken, so reloading a file-picked GGUF after a settings change validated the display label as a repo/path and failed. Thread the active native token through the reload selection so native-loaded models reopen correctly.
* Make picker template validation resilient and accept HF generation tags for PR #6647
Import Jinja lazily inside validate_chat_template so a backend without the optional jinja2 package (GGUF-only installs) still starts instead of raising ModuleNotFoundError at import time. Register a no-op extension for the Transformers {% generation %} assistant-mask tag so pasting a valid HF chat template validates, matching the renderer, rather than being rejected as an unknown tag.
* Honor remembered compare config and parse processor chat_template.json for PR #6647
* Fix failed-load rollback context and processor template map fallback for PR #6647
* Restore speculative decoding config on failed-switch rollback
When a model switch fails after the previous model was unloaded, the
rollback reload restored tensor_parallel, KV cache dtype and the chat
template override, but omitted speculative_type and spec_draft_n_max and
cleared their loaded shadows to null. The previous model therefore came
back running at backend defaults (speculation off) while the UI still
showed it enabled, and the status resync confirmed the off state. Resend
the previous model's speculative settings in the rollback load and keep
the store's active and loaded speculative fields in sync with them.
* Reset max sequence length when a model has no saved config
applyPerModelConfigToRuntime reset every per-model field except
maxSeqLength, which it only wrote when the incoming config had one.
maxSeqLength is the sole field carried on store.params, so selecting a
model with no remembered config left the previous model's value in place
and later loaded the new model at that leaked length. Fall back to the
standing default so an unremembered model loads at its own default.
* Surface a message when a variant update cannot start
startManagedUpdate handled the conflict and error start outcomes but let
busy fall through as if the update began, so the confirm dialog closed
with no job created and the cached variant stayed stale. Show an info
message when the repo is busy with a sibling transfer so the click is
not silently dropped.
* Keep per-model speculative choices out of the global default
A staged load with a per-model or one-off config sets keepSpeculative,
which already skips reading the global speculative preference. The
matching save still ran unconditionally, so the model-specific choice was
written to the global unsloth_chat_speculative_type and a later model with
no saved config started from it instead of Auto. Skip saveSpeculativeType
when keepSpeculative so the per-model choice stays isolated.
* Seed non-active model settings from the app default max length
The Run settings page captured initialMaxSeqLength from the loaded
model's runtime params and fell back to it for a model with no saved
config. Opening settings for a different, unloaded model and clicking
Load then sent the active model's context (for example 64k) instead of
the 4096 default, risking validation failures or OOMs. Seed the default
for non-active models and keep the runtime value only for the active one.
* Prefer sidecar tokenizer chat template over the GGUF copy for variants
_chat_template_from_dir returned the embedded GGUF template first when a
variant was selected, reversing the tokenizer-first precedence of the
no-variant path. A model whose chat_template.jinja or tokenizer_config.json
supersedes a stale embedded template then got the wrong template on
variant selection. Keep tokenizer files first regardless of variant; the
variant only picks which GGUF is the fallback. Adds regression tests for
both the tokenizer-wins and gguf-fallback cases.
* Keep per-model speculative choices load-local in autoload and compare
The interactive load path treats a per-model speculative choice as
load-local and skips writing it to the global default. Autoload and
generalized compare still called saveSpeculativeType unconditionally, so a
remembered off or ngram setting leaked into unsloth_chat_speculative_type
and later models with no saved config inherited it. Persist the global
preference only when the value came from the global settings.
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* Studio: record the compare pane's loaded context in runtime state so the active model's settings and any reload or save use it, not the previous context
* Studio: notify the user when a Hub autoload can't start because another download for the model is already running, instead of silently dropping it
* Studio: drop the merge's orphaned staged-model store helpers and unused alert imports
The main merge left isPendingGguf and pendingSelectionMatches referencing the
removed PendingModelSelection type, and the alert-dialog/alert imports unused
after the permission-mode dropdown replaced the bypass dialog, so tsc -b failed.
* Studio: cache a null default chat template so the viewer stops re-fetching it
A model with no sidecar or embedded template resolves to a terminal null, but
that result was never cached, so reopening the template viewer re-ran the
backend and Hugging Face lookup every time.
* Studio: detect direct-file GGUFs in run settings so Max Tokens uses their context
A GGUF loaded from a local file or custom folder has no variant label, so the
run-settings panel treated it as non-GGUF and clamped Max Tokens to the session
max_seq_length instead of the loaded GGUF context. Detect it via the reported
GGUF context and the .gguf checkpoint suffix, matching the chat page.
* Studio: prompt to re-select a local model file when its lease expired before reload
A file-picked GGUF is reachable only through a native path token that the
desktop host prunes after a TTL. Reloading reused that token blindly, so a
reload long after the initial load failed with an opaque error. Track the
token's expiry and, when it has passed, ask the user to re-select the file
instead of attempting a doomed reload.
* Fix descender-clipping test to tolerate sidebar layout utilities
The sidebar account-block div carries layout utilities (min-w-0, flex-1)
between 'flex' and 'flex-col', so the descender-clipping guard's regex,
which required 'flex' immediately followed by 'flex-col', no longer matched
and the test failed to locate the account-block div. Generalize the prefix
to allow intervening flex utilities while still capturing the leading-*
class before the collapsible visibility utility and asserting leading-tight,
so the guard against clipped glyph descenders is fully preserved.
* Harden picker chat-template resolution
Enforce the 64 KiB chat-template contract at the validate endpoint's request
model so a direct caller cannot submit a template far larger than the frontend
allows (MaxBodyMiddleware only bounds the whole request body, not this field);
oversized templates now return a clean 422.
Apply sidecar-over-GGUF template precedence globally across cached snapshots
instead of per snapshot. A repo with multiple cached revisions previously
returned the first snapshot's template, so a newer GGUF-only revision could
win over an older revision's maintained chat_template.jinja sidecar, which
contradicted the documented intent that sidecars supersede the embedded copy.
* Guard per-model config against future-schema and lossy migration
Two forward-compatibility gaps in the versioned per-model config store:
- The load/apply path returned and normalized a stored record without checking
its schema version, so a record written by a newer client was reinterpreted
under the current schema and applied to a live model load, even though save,
delete and eviction all refuse to touch future-schema records. Reject
future-schema records on load too.
- The one-time legacy migration enforced the storage budget without protecting
the entries it had just migrated and set the completion flag unconditionally.
When storage was already full of future-schema records (which are unevictable
by an older client), the migrated entries were the only evictable ones and
could be dropped while migration was still marked complete. Protect the
migrated keys during eviction and only mark migration complete when they
survive, so it retries once space frees up.
* Discard chat-template validation results after the dialog closes
Server-side template validation is async, but closing or cancelling the editor
did not abort it, so a late-arriving valid response still called onSave and
applied a template the user had already dismissed. Track a validation token
that is bumped on close and ignore any validation result whose token is stale.
* Record native lease expiry when loading a picked GGUF from the chip
The pending-native-model chip loaded via stageOrLoad directly, bypassing
loadNativeModelIntent, so activeNativePathExpiresAtMs was never recorded for a
chip-loaded file. A later reload then either skipped the lease-expiry guard
entirely (expiry left null) or compared against a previously loaded file's
stale expiry, so reload could reuse an already-pruned token or wrongly block a
still-valid one. Route the chip through loadNativeModelIntent, which builds the
same selection and records the expiry.
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* Prefer sidecar template for a directly selected local GGUF file
A direct .gguf file path read its embedded chat template without checking the
parent directory for a maintained sidecar (chat_template.jinja /
tokenizer_config.json), while directory and variant selections already prefer
the sidecar. That let the config editor preview or save a stale embedded
template for the same model depending on how it was selected. Check the parent
directory sidecars first, then fall back to the embedded copy, and cover both
paths with tests.
* Resolve cached chat template per revision, newest first
The earlier change searched every cached snapshot for a sidecar before
considering any snapshot's embedded GGUF template, which let an obsolete sidecar
from an older revision override the newest revision's template. Restore
per-snapshot resolution (newest first): a revision's sidecar still supersedes
its own embedded GGUF copy, but a newer revision is no longer overridden by an
older revision's sidecar.
* Preserve autoload transport conflicts and surface background busy downloads
- When a Hub autoload hits a transport conflict, keep pendingHubAutoLoad bound
instead of clearing it. Clearing it re-keyed the download surface and its
cleanup cancelled the conflict the toast tells the user to resolve, so the
Hub resume affordance was gone the moment it appeared. Return early on
conflict, mirroring the started branch, so resolving it from the Hub still
auto-loads on completion.
- The background-download branch handled started and conflict but silently
dropped a busy outcome, leaving the user with no feedback when a peer variant
of the same repo was already downloading. Surface the same busy toast the
autoload path uses.
* Fix context length, GGUF template, fetch state and lease expiry bugs
Keep explicit context length values instead of collapsing to null at
native. The collapse made the slider jump back at the native maximum
and made Reload load the previous context instead of the chosen one.
Prefer the first split when resolving a GGUF without a variant. Later
splits carry no chat template metadata, so picking the largest file
could return no template for a sharded model.
Clear stale fetch state when template and metadata lookups retry, so
a previous terminal error is not shown while a new fetch is running.
Record native path lease expiry together with the token when a load
commits. The expiry was written by only one load path and even when
the load did not start, so a reload could be blocked with an expired
file message for a still valid token.
* fix(model-picker): resolve review findings across config, inventory, and templates
- Apply remembered per-model config in the training-compare chat handoff so a
prior model's customContextLength no longer leaks into the next load
- Match GGUF variant labels with the inventory extractor too, so cached
no-quant-token files resolve their default chat template
- Show "Auto" instead of a fabricated 32768 when native context is unknown
- Reuse the identical staged auto-load object on same-pick so a re-pick during
download pre-flight no longer disarms auto-load via "busy"
- Union supports_vision when deduping cross-cache inventory rows
- Serve hidden-model needles from a new GET /api/hub/hidden-models endpoint and
merge them client-side, covering runtime-configured RAG embedders
- Clamp GET chat templates to MAX_CHAT_TEMPLATE_BYTES (route + jinja sidecar),
matching the validate endpoint's contract
- Lower-clamp stored customContextLength to shared CONTEXT_LENGTH_MIN
- Wipe unsloth_chat_load_on_selection in Settings "Reset all"
- Drop stale pendingHasContext comment describing deleted staging machinery
* Fix stale defaults cache, token in query string and rounded up context ceiling
Refresh cached chat template and max position data when a model update
completes. Send the HF token for model config requests in the dedicated
header instead of the URL. Snap the native sequence length ceiling down
to the nearest step so the slider cannot exceed the declared maximum.
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* Fix compare pane reverting active checkpoint on non-GGUF load
Re-read runtime params after setCheckpoint so the fresh checkpoint is
kept instead of being overwritten by the pre-setCheckpoint snapshot.
* Send the HF token via header for the vision and embedding checks
checkVisionModel and checkEmbeddingModel still passed the HuggingFace
token as a ?hf_token= query parameter, so it landed in server access
logs, proxy logs, and browser history. Move them to the
X-Unsloth-HF-Token header like getModelConfig already does, and accept
the header on the check-vision and check-embedding routes with the
existing query parameter kept as a fallback for older clients.
* Cap the chat template on the model load path
The load endpoint accepted an unbounded chat_template_override, so a
direct caller could hand llama.cpp an arbitrarily large Jinja template
even though the frontend, the validate endpoint, and the read paths all
enforce the 64 KiB limit. Reuse MAX_CHAT_TEMPLATE_BYTES in the
LoadRequest validator, rejecting oversized templates with a fast
character-count check before the exact UTF-8 byte check.
* Protect existing per-model configs during legacy migration
When the one-time legacy import pushes the store over budget, eviction
now protects the entries the user already has and drops only the
just-migrated legacy entries, so importing old load settings can never
discard a newer per-model config.
* Reset clears the context override instead of pinning the native value
Reset wrote the discovered native context into customContextLength for
GGUF models, but isDefaultConfig treats any non-null customContextLength
as an explicit pin, so Reset with Remember enabled persisted a fixed
context and future loads stopped using the native auto context. Reset
now restores the full default (customContextLength null); the native
value is still shown through the existing display fallback.
* Bound chat-template sidecar reads to a size limit
The chat_template.json, tokenizer_config.json, and Hub-downloaded sidecar
readers decoded and json-parsed the whole file before the extracted
template hit the 64 KiB response cap, so an oversized metadata file could
exhaust memory. Read them through a bounded reader (4 MiB envelope) that
returns None when the file is larger, matching the existing chat_template.jinja
size guard. Adds tests for oversized tokenizer_config.json and chat_template.json.
* Keep the native-path token and lease expiry in sync
Rollback after a failed reload restored the previous token but left the
failed load's expiry in the store, so a later reload could be falsely
blocked as expired (token A paired with load B's lease). Restore the
previous lease alongside the token, and clear the expiry wherever the
token is cleared on a non-GGUF transition, so the two never diverge.
* Clear the native file lease on compare-pane loads
* Studio: add regression tests for the model-picker per-model-config
Guard the specific regressions that reverted the predecessor change:
- backend pytest (studio/backend/tests/test_model_picker_regression.py):
infra-model hiding, HF token via header with query fallback, and the
chat-template byte caps.
- source contracts (tests/studio/test_model_picker_contracts.py): the token
stays out of the URL, the context ceiling is floored, the native lease is
cleared on compare-load and restored on rollback, the default caches key on
the inventory version, and the hidden needles stay present.
- Playwright E2E (tests/studio/playwright_model_config.py) wired into
studio-ui-smoke.yml on port 18898: Context Length persists across a reload,
Reset clears the stored override, and infra models are absent from the picker.
- optional GPU-gated inference smoke (tests/studio/test_gpu_inference_smoke.py)
that auto-skips on GPU-less CI and stays short on a GPU.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Studio: model pinning, row menus, hub inference settings, and inventory filters
Pinning
- Add a pinned models store (localStorage) with repo and per-quant pins
- Pinned section in the model selector's On Device list and the hub inventory,
with newest pins first so Pin to top lands on top
- Deleting a repo drops its pins
Row menus
- Replace loose row icons with a shared 3-dots menu (pin, reveal in file
manager, copy identifier, copy path, delete) on picker rows, hub quant rows,
the hub run bar, and on-device inventory rows
- Menus only render for models actually on disk; platform-aware reveal labels
- Backend: cached-model-path and reveal-cached-model endpoints resolving
managed HF-cache repos only
Hub inference settings
- Gear in the GGUF run bar opens an Inference settings dialog reusing the chat
page's controls: model config (context length, KV cache, speculative
decoding, chat template), system prompt, reasoning, sampling, tools and
retrieval
Inventory
- Model-type filter (text, vision, embedding, STT, TTS, diffusion) beside the
sort pill, both with a sort icon, capped widths and truncation so the
On device heading never wraps
- Unsloth-owned repos without an upstream provider logo fall back to the
Unsloth mascot avatar
- Discover / On Device tabs widened; hub search bar narrowed to match
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Studio: revert the Unsloth mascot avatar fallback
Unsloth-owned repos without an upstream provider match go back to the
colored-initial tile, and unslothai is no longer a relabeled owner.
* Studio: run-bar options on single models, and aligned type/capability filters
- Give single-model (non-GGUF) run bars the same 3-dots options menu and
settings gear as GGUF, at repo level
- Drop Pin to top from the run-bar menus; pinning stays in the On Device list
- Add an Image to text (diffusion) capability with detection, and surface it
in both the hub Discover capability filter and the On Device type filter
- Align the On Device type filter with the Discover capability options and
share the same detection so both dropdowns match
* Studio: apply hub inference config on reload, eject action, and run-bar polish
- Fix inference settings not applying: the hub dialog now writes the config to
the runtime before reload, matching the chat page (selectModel reads runtime
state, not the selection)
- Order the settings gear before the 3-dots menu in the run bars
- Replace the loaded-model run-bar action (New Chat) with Eject, wired through
the inspector to the hub's ejectModel
- Truncate the results heading so a long search query clips instead of
overlapping the header pills in split view
- Use a plain magnifying-glass icon for the no-results empty state
* Studio: fix GPU settings loss, load guards, pins, filters, and cached paths
Reloading a model from the chat sidebar or the hub gear dialog rebuilt the
per-model config without the GPU memory fields, so manual GPU layers, MoE
placement, and the GPU pick were reset on every reload and could be saved
over a remembered config. The active config now comes from a shared
useActiveModelConfig hook that carries the GPU fields for GGUF models, and
the sidebar remount signature tracks them through a shared gpuFieldsSignature
helper.
The in-flight load guard lived in a ref inside each useChatModelRuntime
instance, so the chat page, hub page, and gear dialog could not see each
other's loads. A load started from the gear dialog left the hub page free to
eject the model mid-reload or start a second concurrent load. The runtime
store now records the loading pick, selectModel checks it across instances,
and ejectModel refuses with a toast while any load is in flight.
The cached-model-path endpoint matched GGUF files by basename and excluded
only mmproj, so Copy path and Reveal could return an MTP drafter for a quant
and returned 404 for directory layouts like BF16/model-00001.gguf. Variant
files are now resolved from snapshot-relative paths with the same drafter,
mmproj, and big-endian exclusions as the load path, shared through a new
_main_variant_gguf_label helper.
Hub and picker fixes:
- rename the diffusion capability label from "Image to text" to
"Image generation", since it detects image generators
- validate pinned quants through the cached variant listing, keep the last
verified set while revalidating, and drop deleted quants immediately
- pass a measured scroll margin to the on-device virtual list so rows past
the overscan stay visible below the pinned block
- keep the delete menu for stopped partial safetensors downloads
- give the inventory type filter a reset in Clear filters, a truthful empty
state with a Show all types action, and hide it on the datasets view
- order picker pinned rows by pin recency, include pinned matches in the
empty-state check, and sync pins across browser tabs
- count only the visible rows in the On device list header
Tests: contract checks for each fix in test_model_picker_contracts.py and a
backend test for the variant label selection.
* Studio: reveal cached models in Windows Explorer under WSL
The reveal endpoint only branched on macOS, Windows, and generic Linux.
Under WSL the Linux branch spawned xdg-open, which is missing on a stock
distro without a Linux desktop, so the request failed with a 500 and the
UI showed a failed to open file manager error.
WSL is now detected with the existing helper and the path is converted
with wslpath before opening explorer.exe, selecting the file the same
way native Windows does. Directories open directly. When interop is
unavailable the old xdg-open fallback still runs. The macOS, native
Windows, and native Linux branches are unchanged, and the Tauri app is
covered since its hub reveal calls this same local endpoint.
Tests: platform guards for the WSL reveal, the interop fallback, and
the unchanged native Linux behavior in tests/studio/test_reveal_file_manager.py.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Adjust model picker row spacing and cogwheel hover consistency
* Studio: exact hidden model ids and newest revision cached paths
A custom RAG embedder repo was published to the frontend as a basename
substring needle, so a generic name like org/model could hide unrelated
models in the pickers. The hidden-models endpoint now sends full repo ids
that are matched exactly.
Copy path and Reveal picked a GGUF variant from an arbitrary cache
revision when the same file existed in more than one. The newest revision
now wins, matching the whole repo lookup.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Fix model picker GPU config, metadata, and cache selection
Load each compare model with its saved GPU memory mode, GPU layers, CPU MoE layers, and selected GPU IDs. Reconcile saved GPU IDs with the current hardware. Include the active native GGUF path token in metadata checks. Search all Hugging Face cache roots when resolving cached models and select the largest visible cache entry. Remove obsolete barrel exports and the staging-only GPU memory helper.
* Studio: hide hub inference settings gear for now
The cogwheel in the hub download cards is out of scope for this PR. The
dialog component stays in place and a TODO marks where the button
returns in a future PR.
* Refresh hidden model matchers
* Fix GGUF detection, compare context pin, and picker delete staleness
Treat any pick with a GGUF variant as GGUF in selectModel so the first
load after downloading an uncached quant validates and sizes with the
right GPU settings instead of unloading the current model on a wrong
preflight. Variant picks now also set isGguf on their selection meta.
Stop compare panes from inheriting the active model's context pin when
their own saved config says Auto. Null context in a remembered config
now means no pin, matching how the pane settings are shown.
Route picker deletes through the hub inventory client, which
invalidates the HF cache scan and the variants cache. The legacy
delete route left the scan cache warm, so deleted models reappeared
in the picker until the TTL expired. Removed the now unused legacy
delete client and updated the contract test to match.
* Studio: fix stale GGUF load-marker ordering test
The load-in-flight marker still precedes the hub-download guard and the
unload, but the llama_extra_args inheritance that used to sit between the
marker and the guard now runs ahead of the GGUF branch, so it is no
longer a landmark inside the sliced source. Drop it from the ordering
assertion and keep the marker -> guard -> unload invariant.
* Studio: fix per-model config edge cases in compare loads and saved defaults
- chat-settings-sheet: gate the MTP fallback note and context/VRAM warning on
the broader isGguf (variant, loaded gguf context, or .gguf suffix) instead of
isLoadedGguf, so direct-file and custom-folder GGUF loads still surface
those diagnostics.
- shared-composer: a compare pane's context now comes from its own config only
(a saved pin, else null for Auto/native). It no longer inherits the active
model's shared snapshot, which resolveFitMaxSeqLength treated as an explicit
pin and could load a pane at another model's context (VRAM/OOM), matching the
single-model load path.
- model-config-page: when an auto-fit GGUF is saved with fixed GPU layers
(Manual) and Remember, pin the displayed fitted context so a later fresh load
keeps the placement instead of sending native/0 and recreating the OOM.
- per-model-config: treat Auto GPU memory mode and Auto/default speculative type
as follow-global defaults; do not persist them as per-model overrides so later
global preference changes keep applying.
* Studio: gate vision capability on GGUF projectors and bound remote template downloads
- cache_inventory: only mark a cached repo vision-capable when it holds an actual
GGUF mmproj projector, not any file whose name merely contains "mmproj" (e.g.
mmproj_config.json), matching the runtime's GGUF-only projector detection.
- picker/service: pre-check the remote file size before downloading an uncached
repo's chat template / tokenizer config, so a maliciously large sidecar is
skipped instead of fetched and retained in full, mirroring the size gate the
local-file path already applies.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Studio: add source-contract guards for the per-model-config edge-case fixes
Guard the four per-model-config fixes against silent regression in CI:
- local GGUF diagnostics gate on the broad isGguf, not the variant-only isLoadedGguf
- fixed-layer GGUF saves pin the displayed context
- Auto GPU mode and Auto/default speculative are not persisted as per-model overrides
- a compare pane's context comes from its own config, not the active model's snapshot
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* Studio: clear manual GPU knobs on Default and resolve local embedders before repo-id
- model-config-page: switching GPU Memory back to Default now clears the Manual-only
knobs (gpuLayers/nCpuMoe/selectedGpuIds); otherwise a remembered config kept stale
pins that a later load re-applied when the global GPU preference was Manual, despite
the page showing Default.
- routes/models hidden_model_matchers: resolve an existing local path before the repo-id
regex, mirroring is_hidden_model, so a local embedder shaped like "models/embedder" is
hidden by exact path instead of leaking as a chat model.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Studio: add _is_mtp_drafter to the model_config stub in the export-paths test
routes/models.py imports _is_mtp_drafter from utils.models.model_config at module
load, but the lightweight stub in test_export_absolute_paths.py did not provide it,
so loading the module under the stub raised ImportError on Backend CI. Add the stub.
* Studio: read a picked GGUF's chat template through the native path lease
The picker chat-template GET has no native-path-lease plumbing, so a
desktop-picked (drag-drop) GGUF could not show its default chat template
in Run Settings until the model was loaded: the endpoint only receives
the display label, not the leased file path.
Read the embedded template through the existing lease-aware
/api/inference/validate probe instead. A new include_chat_template flag
resolves the granted canonical path and returns the GGUF's own embedded
template, never a sibling sidecar (the grant authorizes just that one
file); it skips the training guard like include_context_length and is
bounded by MAX_CHAT_TEMPLATE_BYTES. The frontend fetch mints a one-shot
validate-model lease when a native token is present and keeps the plain
GET path for HF and allowlisted local models.
Adds backend and source-contract regression tests.
* Studio: call worker.direct_wheel_url in the ROCm wheel-url test
The ROCm Mamba/SSM test referenced worker.py's private _direct_wheel_url,
but the worker imports the wheel helper under its public name
direct_wheel_url (utils.wheel_utils). When the worker module loads (its
imports resolve in CI), worker_mod._direct_wheel_url raised AttributeError;
the test only masked it by skipping when the worker could not be imported.
Call the name that actually exists so the assertion runs; it still returns
None for an empty cuda_major (ROCm).
* Studio: reset max sequence length to the app default, not the loaded value
For a non-GGUF active model, the per-model config seeds maxSeqLength from
the loaded runtime value so the panel opens showing the running context.
Reset set config.maxSeqLength to null, but the null fallback resolved back
to that captured runtime value, so the field kept showing the old custom
length and the config saved/reloaded it again. A remembered or active
max-length override therefore could not be cleared from Run settings.
Fall the null/default case back to the app default (clamped to the model's
native ceiling) instead of the active runtime snapshot, so Reset actually
clears the override. The initial view is unaffected: an active model's
config.maxSeqLength is already non-null, so it still shows the loaded value.
Adds a source-contract regression guard.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Studio: persist default max length, refresh deleted quants, hide non-chat locals
Three follow-up fixes from review of the per-model-config picker:
- Max sequence length: the persisted per-model record now keeps config's
maxSeqLength (null after Reset) so isDefaultConfig can clear a remembered
override; the resolved app-default is substituted only into the load
request, never the saved record. Previously Reset saved the concrete
default and left the model pinned/remembered.
- GGUF variant expander: deleting a downloaded quant from a repo that still
has other cached quants now bumps the expander refresh key, so the removed
quant stops showing as downloaded and clickable (which would try to reload
the deleted file) until the repo is collapsed and reopened.
- Local picker rows: require capabilities.canChat before listing a local
models-folder / LM Studio row. A weightless folder (only config.json) is
classified non-chat, and toLocalModelInfo drops capabilities, so selecting
such a row would try to load a path the inventory already marked non-chat.
Adds source-contract regression guards for all three.
* Fix compare-pane and Reset context defaults in model picker
Two related per-model-config default regressions:
- A non-GGUF compare pane with no saved maxSeqLength fell back to the
active model's shared runtime snapshot, so comparing a saved 128K model
against an unconfigured pane loaded the latter at 128K and could OOM. It
now falls back to the shared app default (DEFAULT_MAX_SEQ_LENGTH), the
same fallback the single-model config path uses.
- contextAtDefault treated an explicit customContextLength equal to the
native ceiling as a default, which wedged the Reset button disabled for
a deliberate pin-to-native. It now counts as default only when there is
no override at all.
DEFAULT_MAX_SEQ_LENGTH becomes a single exported constant in
per-model-config.ts so the single-model config and the compare path share
one source of truth. Adds source-contract guards for both fixes.
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* Skip over-cap remote Jinja templates so the tokenizer template wins
The remote chat-template resolver bounded raw chat_template.jinja downloads
only by MAX_TEMPLATE_METADATA_BYTES (4 MiB), then returned the first
non-empty Jinja unconditionally. The picker route drops any template larger
than MAX_CHAT_TEMPLATE_BYTES (64 KiB), so an uncached repo whose
chat_template.jinja sits between 64 KiB and 4 MiB returned no template at
all, even when a valid smaller tokenizer_config.json template existed. The
local path already skips oversized .jinja files and falls through.
Gate the extracted Jinja on MAX_CHAT_TEMPLATE_BYTES and continue searching
when it exceeds the cap, matching _chat_template_from_jinja_file. The 4 MiB
download bound stays for JSON files that merely embed a small template. Adds
a regression test that a big Jinja plus a valid tokenizer config resolves to
the tokenizer template.
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* Guard legacy per-model-config migration idempotency
The v1->v2 localStorage migration (unsloth_load_settings ->
unsloth_model_configs) runs on every store read, so it must migrate exactly
once and never re-run, duplicate, or clobber a newer per-model config on a
reload or restart. That was covered only by a manual proof, so add durable
guards:
- Source-contract test pinning the three idempotency layers (the in-memory
legacyMigrationChecked guard, the persistent unsloth_model_configs_migrated
flag set in every terminal branch, and the non-overwriting Object.hasOwn
merge-skip) plus the readMap invocation. Reddens if any layer is dropped.
- Playwright model-config E2E: promote the legacy-migration step to a gating
check (soft_fail, which gates under the CI STUDIO_UI_STRICT=1) that the
migrated value is preserved and the flag is set, then reload again with a
fresh legacy seed present and assert the stored key set is unchanged, so a
second reload cannot re-migrate, duplicate, or clobber.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Note the migration E2E now gates idempotency under STUDIO_UI_STRICT
* Tighten model-picker per-model-config code comments
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
Co-authored-by: Lee Jackson <130007945+Imagineer99@users.noreply.github.com>
Co-authored-by: danielhanchen <michaelhan2050@gmail.com>
Co-authored-by: shimmyshimmer <shimmyshimmer@users.noreply.github.com>
Co-authored-by: Unsloth <michaelhan@Michaels-MacBook-Pro.local>
Co-authored-by: oobabooga <112222186+oobabooga@users.noreply.github.com>
pre-commit-ci[bot]