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Studio: add DFlash speculative decoding support - #6747

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oobabooga:dflash-spec-decoding
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oobabooga:dflash-spec-decoding

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@oobabooga oobabooga commented Jun 29, 2026

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Adds Studio support for DFlash draft models. DFlash is a block-diffusion drafter (a separate --model-draft GGUF, mechanically the same as Gemma's separate MTP drafter), so this reuses that lane: detect a dflash-*.gguf sibling next to the weights and auto-engage --spec-type draft-dflash.

Usage

Drop a dflash-<model>.gguf next to the target GGUF and load in Auto mode. DFlash currently applies only to text models. Studio detects it and launches:

--model-draft <dflash.gguf> --spec-type draft-dflash --spec-draft-n-max 4

Default draft depth is 4 (vs MTP's 2/3). llama-server clamps it to the drafter's trained block size.

Speed

Direct llama.cpp b9840, Qwen3-4B Q4_K_M target + DFlash q8_0 drafter, single RTX 6000 Ada, code prompt, thinking off, greedy:

spec-draft-n-max tok/s speedup accept rate
off (baseline) 240 1.00x n/a
3 375 1.56x 0.89
4 392 1.63x 0.86
6 445 1.85x 0.92
8 427 1.78x 0.93

End-to-end through Studio (default n-max 4, same model and GPU): baseline ~200 tok/s, DFlash ~270-357 tok/s, 1.3x-1.7x.

The gain is workload-dependent. It shows on low-entropy work (code, structured output) with thinking off, and shrinks on chat or creative work, or with thinking on, where acceptance drops. The drafter is small (~575 MB at q8), so the cost when it does not help is low.

Making the drafter GGUF

The public community DFlash GGUFs are built for forks (arch dflash-draft) and fail on upstream llama.cpp, which expects arch dflash from llama.cpp#22105. So the drafter used here was converted from the z-lab checkpoint with the b9840 converter:

# drafter weights: z-lab/Qwen3-4B-DFlash-b16
# target tokenizer + config: Qwen/Qwen3-4B
python convert_hf_to_gguf.py z-lab/Qwen3-4B-DFlash-b16 \
    --target-model-dir Qwen/Qwen3-4B \
    --outtype bf16 --outfile Qwen3-4B-DFlash-bf16.gguf

llama-quantize Qwen3-4B-DFlash-bf16.gguf Qwen3-4B-DFlash-q8_0.gguf Q8_0

--target-model-dir is required: the drafter carries no tokenizer of its own and inherits the target's tokenizer and embeddings. The target GGUF in the speed test below is unsloth/Qwen3-4B-GGUF at Q4_K_M.

What changed

  • Detection: detect_dflash_file finds a dflash-*.gguf sibling (stem-paired to the weight, like the MTP drafter). It is excluded from main-model selection in the three companion-predicate mirrors.
  • Flag emission: _emit_dflash emits --model-draft / --spec-type draft-dflash / --spec-draft-n-max, gated on a draft-dflash capability probe. It falls back to --spec-default on an older binary.
  • HF loads and downloads: the matching DFlash companion is auto-fetched for -hf loads and included in non-vision Hub download plans.
  • VRAM budgeting: the normal fit budget reserves the DFlash weights and draft KV when DFlash engages. The active-training guard follows the existing conservative MTP policy by counting companion file bytes plus the main-model KV, without a DFlash-specific capability probe.
  • Reload-dedup: a dflash-*.gguf appearing or disappearing next to a loaded local model changes the launch state, mirroring the MTP drafter. Transient HF companion download failures are retried without maintaining DFlash-only file-revision state.
  • Crash-recovery: a drafter that aborts llama-server retries once without speculative decoding, so the main model still loads instead of failing the whole load.
  • Native-path loads: the dflash companion goes through the same lease validation as the MTP companion.

Tests

New test_dflash_drafter.py covers companion predicates, sibling detection and pairing, flag emission, HF download precedence, fallback behavior, and reload deduplication. The focused DFlash, MTP, route, budget, context-fit, and tensor suites pass (661 tests).

Verified live on the b9840 Vulkan build: Auto load engages DFlash, identical reload dedups, dropping the drafter reloads to spec-default, and a broken drafter falls back to no speculative decoding.

Scope boundary

DFlash intentionally reuses the MTP companion lane instead of adding a parallel policy layer. HF Auto loads resolve DFlash first and skip the unused MTP download when DFlash succeeds. Training admission uses the same conservative companion accounting already used for MTP. DFlash does not add capability-dependent validation fields or binary/drafter revision fingerprints that MTP does not maintain.

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oobabooga requested a review from danielhanchen as a code owner June 29, 2026 15:20

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Code Review

This pull request introduces support for the DFlash block-diffusion speculative decoding drafter (dflash-*.gguf), integrating it similarly to the existing MTP drafter mechanism. The changes generalize companion path checks, sibling detection, and command-line flag generation to support both MTP and DFlash drafters, and include comprehensive unit tests. Feedback on the changes suggests refining the sibling drafter matching logic to prevent false positives where a shorter model name prefix incorrectly matches a longer model name (e.g., matching qwen to qwen3).

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if f.is_file():
return str(f.resolve())

P2 Badge Prefer the most specific DFlash match

In a folder containing multiple related targets, this returns the first sorted drafter whose stem prefixes the weight name. For example, dflash-Qwen3-4B.gguf sorts before dflash-Qwen3-4B-Instruct.gguf, and both prefix Qwen3-4B-Instruct-Q4_K_M.gguf, so loading the Instruct target attaches the base-model DFlash drafter even though the exact drafter is present. Please choose the longest/exact matching stem rather than the first lexicographic match so mixed local folders do not pair a foreign draft model.

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Comment on lines +3780 to +3781
if dflash is not None:
total += getattr(dflash, "size", 0) or 0

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P2 Badge Skip DFlash from vision companion sizing

When active training is running and an HF GGUF repo is a VLM (include_mmproj=True), this still adds a DFlash sibling to the admission estimate even though the loader suppresses DFlash for effective vision loads (is_dflash_model requires not is_vision). A vision repo that happens to contain a DFlash file can therefore be rejected with a 409 despite /load only mapping the main GGUF and mmproj; skip the DFlash add when the projector is active.

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Comment on lines +3833 to 3836
for attr in ("gguf_mmproj_file", "gguf_mtp_file", "gguf_dflash_file"):
f = getattr(config, attr, None)
if f and Path(f).is_file():
total_bytes += Path(f).stat().st_size

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P2 Badge Don't count local DFlash for vision loads

For local VLM GGUFs loaded with their mmproj enabled, load_model() passes effective_is_vision=True and _build_speculative_flags() will not emit DFlash, but this unconditional companion loop still charges gguf_dflash_file during the active-training guard. A local vision model directory with a DFlash sibling can be blocked as too large even though the drafter would not be launched; gate the DFlash entry on the effective mmproj/--no-mmproj state.

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Thanks for this, and sorry it sat open so long.

I ended up building the same feature in #8338 before catching up with this PR properly, so I want to be straight about what happened and make sure your work is not just discarded.

Why I am landing #8338 rather than this

This branch is 848 commits behind main and conflicts in 7 backend files. That is not the real problem though. The real problem is that it branched before the DSpark drafter stack existed at all -- git grep -c dspark at its merge base returns 0 -- and #7811, #7968 and #8037 have since landed a shared drafter lane that this reuses differently. Rebasing would mean re-architecting it against a stack that did not exist when you wrote it, which is not a fair thing to hand back to you.

The one behavioural difference I think matters: detection here is filename only. Upstream hard-fails on a drafter whose architecture is not exactly dflash (unknown model architecture: 'dflash-draft' -> failed to load draft model -> server exits), and the public community DFlash GGUFs are built for forks and report dflash-draft. This branch hands such a file to --model-draft and then catches the crash; #8338 reads general.architecture at discovery and never launches it. Your dflash_drafter_incompatible reason code is the right message for the failure, but I would rather not reach the failure.

What I carried across from here into #8338, with credit

What I deliberately did not carry across

  • The vision exclusion. You gate DFlash off for vision loads at four layers and describe DFlash as text-only. I measured it rather than assume either way, on unsloth/Muse-Glimmer-GGUF (which is image-text-to-text and ships an mmproj), llama.cpp b10342, one B200, n_max=2, greedy:

    config text (code) text (chat) image prompt
    target only 92.8 tok/s 92.7 --
    + dflash 131.8 (acc 0.821) 115.2 (acc 0.668) --
    + mmproj 91.7 92.8 92.1
    + mmproj + dflash 130.9 (acc 0.821) 117.1 (acc 0.668) 114.2 (acc 0.646)

    The image leg is a real 672x672 image contributing ~545 image tokens (prompt 363 -> 908), the model describes it correctly, and greedy output is byte-identical with and without the drafter. No load failure in any configuration. So the vision path keeps 1.24x, and gating it would cost the flagship model that speedup on exactly the workload it ships for. I took your gguf_plan.py change without its None if all_mmproj else ... skip for the same reason.

  • The suffix naming form (<model>-dflash.gguf, model.dflash.gguf). Studio: launch a DFlash speculative drafter automatically #8338 accepts the dflash- prefix only, because the suffix form collides with real weights like Qwen3.6-35B-A3B-DFlash-Q4_K_M.gguf, which are the model rather than a drafter.

  • dflash_drafter_incompatible, for the reason above: with header validation at discovery it is unreachable.

Closing this as superseded by #8338. The five items above are in that PR with this one linked from the commits. If you think I have got the vision call wrong, or anything else here, say so on #8338 and I will re-open the question -- the benchmark script is in the PR discussion so it is easy to re-run.

rhsCZ pushed a commit to rhsCZ/unsloth that referenced this pull request Aug 11, 2026
…got right

Five changes on top of the DFlash drafter work.

Lint gate. The compatibility shim re-exporting the moved drafter helpers from
model_config tripped scripts/verify_import_hoist.py, whose __all__ exemption is
scoped to package __init__.py and which ships a
reexport_in_ordinary_module_is_still_blocked self-test. The shim is gone: the
module imports only what it still calls, and every other call site imports from
utils.models.drafters directly. dspark_preference_key stays reachable from
model_config as a delegating def, because repointing routes/inference.py's
pre-existing function-local import is the verifier's TARGET-CHANGED case and its
relocation exemption only covers module-level imports.

Download plan. preferred_dflash_sibling in hub/utils/gguf_plan.py, and the
sidecar as an expected file on every GgufVariantPlan. The sidecar was fetched
but the hub manifest never knew about it, so download progress under-counted by
~1.5 GiB. Ranked with dflash_repo_preference_key, so the plan and the loader
cannot disagree, and per variant, so a multi-family repo does not hand variant B
the drafter named after variant A.

Capability-regained retry. A load that stood down because llama-server could not
run the drafter told the user to update, then deduped the reload the update was
meant to repair. spec_binary_fallback_can_retry re-reads the binary, asking
about the capability the drafter kind actually needs rather than the reason
code, since every kind records the same binary_no_mtp.

Transient fetch retry. _download_companion_gguf gained on_transient_failure, so
a listing that never answered or a download that dropped is worth one more
Apply. Permanent Hub errors, a full or unwritable cache, offline mode and
cancellation are unaffected, and a header rejection still falls through to the
next candidate rather than counting as transient. The probe cache key moved from
(path, int(mtime)) to (path, st_mtime_ns, st_size), so an update landing in the
same second as the probe is not answered with the old build's capabilities.

CLI. unsloth_cli/_inference.py passes gguf_dflash_file into the GGUF load, so
the managed CLI path engages DFlash instead of silently running without it.

No vision gate, now measured rather than argued. Muse-Glimmer-30B UD-Q4_K_XL
with mmproj-kquant and dflash-kquant, llama.cpp b10342, one B200, n_max=2,
greedy, on a prompt carrying ~545 image tokens: 92.1 to 114.2 tok/s at 0.646
acceptance, greedy output byte-identical to the drafter-free run, no load
failure. The comment at the Auto promotion site cited llama.cpp #22673, which is
an MTP result, for a DFlash decision; it now cites the measurement.

Also fixes test_from_identifier_never_reads_a_sidecar_outside_the_boundary,
which patched is_dflash_architecture on the re-exporting module rather than the
one detect_dflash_file resolves it in, so its reads == [] assertion held whether
or not the lease boundary worked.
danielhanchen added a commit that referenced this pull request Aug 11, 2026
* Studio: launch a DFlash drafter automatically

Studio has recognised dflash-*.gguf since #7811, but only to hide it from
the quant picker. Nothing ever launched it, so a model that ships a DFlash
sidecar fell through to no speculative decoding at all.

Add DFlash as the third launchable drafter kind beside MTP and DSpark:
a _is_dflash_drafter_path predicate, local and Hub discovery, a
supports_dflash capability parsed from llama-server --help, and the
--model-draft / --spec-type draft-dflash emission. Unlike DSpark it is on
under Auto, since the published sidecar is 1.52 GiB and ships in the
model's own GGUF repo rather than being an ~11 GB opt-in fetch. DSpark
keeps first refusal when a repo somehow ships both, matching llama.cpp's
own downloader.

Discovery confirms general.architecture = dflash in the header rather than
pairing on the filename: the published sidecar is dflash-kquant.gguf, which
names no model family, so the DSpark pairing rule would reject the one file
this exists to find. The dflash/ directory is still not a drafter marker,
and DFlash is still excluded from companion reclaim, both because the name
doubles as a family a publisher puts on real weights.

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* Harden the DFlash drafter fallback, pairing and dedupe

Four fixes from review of the auto-launch path.

Strip user-supplied DFlash args on the drafterless retry. The gate that
enters the retry counts a DFlash request, but the cleanup only recognised
MTP and DSpark. llama.cpp accumulates speculative types, so prepending
--spec-default while the DFlash group survived relaunched the drafter
that had just failed, and a main model that loads fine without it was
lost instead of recovered.

Skip a DFlash sidecar that names another weight in the same folder.
_drafter_matches_weight is False both for a sidecar naming no family and
for one naming a different family, so ranking put them in one bucket and
precision could float the foreign one to the top: loading model B beside
dflash-model-A-Q8_0.gguf and dflash-kquant.gguf launched model A's
drafter. Both files carry a real dflash header, so the architecture check
behind the ranking cannot catch it. The decision is made against the
weights actually present in the folder rather than by guessing which
stems are precision tokens, which keeps the published unpaired sidecar
eligible.

Stand the Auto DFlash fetch down once DSpark has resolved. DSpark takes
first refusal in the promotion, so for a repo shipping both kinds the
DFlash sidecar could never launch and the fetch spent bandwidth and cache
on a file that would not be used. An explicit dflash request still
fetches.

Keep Auto deduplicated after a failed DFlash drafter. _speculative_type
is reset to "default" by a successful drafterless retry while the launch
still records the resolved sidecar, so the next Apply compared the
intent's empty MTP path against it and reloaded a healthy server.
_spec_drafter_kind survives the fallback and now decides the comparison.

test_mtp_drafter_companion.py, test_native_gguf_companion.py,
test_llama_cpp_mtp_detection.py and test_resolve_quant_gguf.py: 489
passed, including two new tests for the foreign-sidecar case and for the
paired sidecar still winning.

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* Keep DFlash discovery, the training guard and the hints in step

Discovery now accepts the dflash- prefix only. The shared companion
predicates recognise DFlash by that prefix, so a <model>-dflash.gguf
accepted by discovery was also a selectable Q8_0 main model in the quant
picker, and choosing that variant handed llama-server the drafter as the
target. Teaching the predicate the suffix instead would hide a real model
whose name merely ends in DFlash, which is the case #7811 exists to
protect, so detection gives the form up rather than the picker giving up
a model. No published sidecar uses it; the shipped one is
dflash-kquant.gguf. The same mismatch exists for MTP on main and is left
alone here.

The training VRAM guard now sizes a drafter named through
llama_extra_args. Discovery never fills gguf_dflash_file for a file
outside the model directory, but load_model still passes that path to
llama-server, so a load could be admitted beside a training run while
nothing was charged for the sidecar it makes resident.

The Speculative Decoding hint said Auto picks DSpark or else MTP / ngram
and that everything but DSpark leaves output unchanged. Auto now picks
DFlash too, and like DSpark it is not bit-identical on quantized targets.
The Draft Tokens hint gained the DFlash default, which shares the MTP
branch at 2 on GPU and 3 on CPU/Mac.

514 passed across the drafter, companion, detection, quant-resolution and
picker suites, including two new tests pinning the suffix form out of
discovery and the prefix form still in.

* Pair the remote DFlash sidecars with the selected weight

detect_dflash_file already refuses a sidecar named after a NEIGHBOURING
weight, so a folder holding two families cannot attach a foreign drafter
locally. The download picker and the offline cache reuse still ranked
every dflash-*.gguf by precision and name alone, never comparing a
candidate against the weight being loaded, so in a repo hosting more
than one family dflash-model-A-Q8_0.gguf outranked the generic
dflash-kquant.gguf and model B downloaded and launched model A's
drafter.

The pairing rule now lives in one place, dflash_repo_preference_key,
built on the same _drafter_names_other_weight predicate the local scan
uses: a sidecar naming this weight's family first (most specific stem
first, as detect_mtp_file does), then one naming no weight present here,
then one naming a neighbour. The last is demoted rather than dropped, so
a repo whose only sidecar looks foreign still has a fallback.

Deciding against the weights actually present is what keeps the
published unpaired sidecar eligible: dflash-kquant.gguf has a precision
token for a stem, not a family name, so "the stem is non-empty" cannot
stand in for "this names another model". Nothing changes for a repo with
one sidecar, and with no weight in hand the order is precision only, as
before.

Tests cover a multi-family repo picking the generic sidecar, the same
repo picking the specific one for its own weight, the shipped
Muse-Glimmer layout still resolving, and the cached path agreeing with
the download path.

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* Validate DFlash candidates and size the extras drafter once

Three fixes found in review of the DFlash drafter work.

detect_dflash_file read a candidate's GGUF header before asking the
caller's accept callback about it, so a dflash-*.gguf symlink in a
directory reached through a native grant had its out-of-lease target
opened before the grant check ran, and no later rejection takes a read
back. The loop now resolves the launch path, runs accept, and only then
parses the header and applies the architecture check. accept still
receives the resolved launch path, and callers that pass no accept see
the same candidates in the same order as before.

The training admission guard charged the llama_extra_args --model-draft
sidecar on top of the local one discovery had already found, so a 1.5
GiB drafter was billed as 3 GiB and the guard could refuse an inference
load that fits. The effective draft path is now sized exactly once, with
identity taken from the resolved path so a symlink or another spelling
of the same file dedupes too.

That same charge also satisfied the local-weights early return on its
own. Loading a remote GGUF repo has no local main weight, so a local
--model-draft made the guard return the drafter alone and skip the
listing that prices the target model, which could admit a load that then
exhausts VRAM next to a running training job. The local branch now fires
only when a local weight is actually present, and the drafter is added
to whichever branch produces the estimate, including the remote one.

Regression tests for all three.

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* Validate remote DFlash files by header and stop charging unused DFlash bytes

Two fixes to the DFlash sidecar paths.

Remote and cached DFlash candidates are now confirmed by their GGUF header,
not by their filename. _pick_dflash and _cached_repo_dflash_drafter selected
with _is_dflash_drafter_path, a dflash- prefix test, while the local scan in
detect_dflash_file also required general.architecture == dflash. A remote repo
holding an ordinary weight whose basename starts with dflash- therefore had
that full weight downloaded and handed to llama-server as --model-draft, which
falls back at startup after the bytes are already spent. The architecture rule
moves into is_dflash_architecture in model_config, beside the naming rules and
shared by every path, the way dflash_repo_preference_key already is. The header
is only readable once the file is on disk, so the download validates after the
fetch and falls through to the next candidate instead of returning None; the
prefix-only naming rule is unchanged.

The training coexistence guard no longer charges DFlash bytes a load under Auto
will never fetch. _remote_gguf_companion_bytes added the preferred DSpark and
the preferred DFlash sidecar whenever the repo listed both, but the loader
stands down on the DFlash fetch once DSpark resolves under Auto, so those bytes
are never resident and the guard could 409 a load that fits. The new
dspark_first flag mirrors that selection. Where the choice is genuinely unknown
the deliberate over-estimate stands, and an explicitly forced DFlash still pays
for its sidecar.

Regression tests cover the fetch falling through an impostor to the real
sidecar, an all-impostor repo recording a permanent absence, the snapshot reuse
and offline cache lookups applying the same rule, and the Auto guard charging
DSpark only when a repo publishes both kinds.

* Gate the DFlash stand-down and the guard's sizing on what the load actually does

The Auto DFlash fetch stood down whenever _download_dspark answered with a
path, but that call deliberately reports an already-cached DSpark sidecar even
on a binary with no usable --spec-type draft-dspark (so the route's reuse check
does not reload the same server on every Apply). The promotion refuses such a
path, so on a DFlash-capable binary a repo shipping both companions suppressed
the DFlash fetch for a sidecar that can never launch and the load ended up with
no drafter at all. The capability gate now lives in _dspark_wins_auto, shared by
the fetch and the promotion so the two cannot disagree.

_remote_gguf_companion_bytes still ranked DFlash candidates with the name-only
dflash_preference_key while the loader moved to the family-aware
dflash_repo_preference_key, so in a multi-family repo the guard could price a
different, smaller sidecar than the one that lands. The selected weight name is
threaded down and the guard now sorts with the downloader's key over the
neighbouring weights from the same listing.

* Apply the load's boundaries to drafter discovery, and size Auto's one drafter

ModelConfig.from_identifier ran the local companion scan with no way for the
caller to say what was in bounds, so a native-grant load read the header of a
dflash-*.gguf symlinked out of the granted directory. The validated rescan on
the load route rejected it afterwards, which does not take a read back. The
boundary now travels into the scan, for all three drafter kinds, so the two
passes cannot disagree about what is in bounds.

Remote DFlash discovery matched the basename in any nested directory, but the
local contract is root level only: a quants/dflash-*.gguf is an ordinary weight
detect_dflash_file would never offer, and the header can only be read once the
bytes are here, so the whole weight downloaded before the rejection. Checked
through a separate predicate so the prefix-only naming rule the other callers
share stays exactly as it is.

A split companion is only usable as a whole set, since llama-server resolves the
sibling shards from the first one's directory. Fetching just the picked shard
left a drafter whose header reads fine and which the server cannot open, so the
load fell back to no speculation with nothing to show for the download. The
companion download now resolves its shards with the same helper the main-model
download uses, and neither reuse path reports a half set as a cache hit.

The remote sizing charged the first-ranked DFlash candidate, but a rejected
candidate falls through to the next name in the ranking, which can be a larger
file; headers are unreadable from a listing, so the bound now covers every
candidate the fallback can reach. And under Auto the guard charged the MTP
drafter on top of the DFlash sidecar that replaces it. Auto launches exactly one
drafter, in a fixed order, so dspark_first now expresses the whole promotion:
DSpark alone when the repo publishes one, otherwise the larger of the DFlash
bound and the MTP drafter, since every DFlash candidate can still be turned away
on its header and the load then keeps the MTP one.

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* Budget a split DFlash sidecar as a set, and reject half a cached one

The remote sizing bounded the DFlash fetch with the largest candidate the
post-fetch fallback could land on, but each entry is one shard, while
_download_companion_gguf fetches the whole shard set the picked file belongs to
and llama-server keeps every shard resident. A sidecar published as two 1 GiB
shards was budgeted at 1 GiB, and under-charging is the direction that waves a
load through and then exhausts VRAM beside a running training job. The
candidates are grouped into their sets with _gguf_extra_shards, the same helper
the download resolves shards with, and the bound is the largest set total.

_cached_repo_dflash_drafter's offline fallback accepted a candidate on is_file
plus its header, so a snapshot holding shard 1 alone was handed back as the
drafter with no fetch left to complete the set. The header reads fine, then
llama-server cannot open the siblings it resolves from that directory and the
load falls back to no speculation. Same _drafter_split_is_complete rule the
snapshot reuse already applies, and skipped rather than fatal like the header
check, since another snapshot may hold the complete copy.

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* Move drafter naming, ranking and DFlash discovery into a drafters package

Pure structural move, no behaviour change. The shared primitives, the
ranking keys and the DFlash detector were spread through model_config
alongside unrelated model handling, and the same rules are reached from
four different paths, so they now live in one package.

model_config re-exports every moved name, so callers and tests that
import them from there keep working.

The package deliberately does not import model_config at module import
time. The GGUF split and quant naming helpers stay where they are, since
non-drafter code shares them, and are imported per call instead.

* Give the guard's DFlash bound a name and a home

The bound was fifteen lines of generator plus the comment explaining why
it is a max over shard sets rather than the best-ranked candidate, inline
in the middle of a function that also sizes mmproj, MTP and DSpark. It is
pure arithmetic over a listing, so it moves to drafters.budget with the
reasoning attached to it.

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* Studio: fix the DFlash lint gate, and carry over what #6747 got right

Five changes on top of the DFlash drafter work.

Lint gate. The compatibility shim re-exporting the moved drafter helpers from
model_config tripped scripts/verify_import_hoist.py, whose __all__ exemption is
scoped to package __init__.py and which ships a
reexport_in_ordinary_module_is_still_blocked self-test. The shim is gone: the
module imports only what it still calls, and every other call site imports from
utils.models.drafters directly. dspark_preference_key stays reachable from
model_config as a delegating def, because repointing routes/inference.py's
pre-existing function-local import is the verifier's TARGET-CHANGED case and its
relocation exemption only covers module-level imports.

Download plan. preferred_dflash_sibling in hub/utils/gguf_plan.py, and the
sidecar as an expected file on every GgufVariantPlan. The sidecar was fetched
but the hub manifest never knew about it, so download progress under-counted by
~1.5 GiB. Ranked with dflash_repo_preference_key, so the plan and the loader
cannot disagree, and per variant, so a multi-family repo does not hand variant B
the drafter named after variant A.

Capability-regained retry. A load that stood down because llama-server could not
run the drafter told the user to update, then deduped the reload the update was
meant to repair. spec_binary_fallback_can_retry re-reads the binary, asking
about the capability the drafter kind actually needs rather than the reason
code, since every kind records the same binary_no_mtp.

Transient fetch retry. _download_companion_gguf gained on_transient_failure, so
a listing that never answered or a download that dropped is worth one more
Apply. Permanent Hub errors, a full or unwritable cache, offline mode and
cancellation are unaffected, and a header rejection still falls through to the
next candidate rather than counting as transient. The probe cache key moved from
(path, int(mtime)) to (path, st_mtime_ns, st_size), so an update landing in the
same second as the probe is not answered with the old build's capabilities.

CLI. unsloth_cli/_inference.py passes gguf_dflash_file into the GGUF load, so
the managed CLI path engages DFlash instead of silently running without it.

No vision gate, now measured rather than argued. Muse-Glimmer-30B UD-Q4_K_XL
with mmproj-kquant and dflash-kquant, llama.cpp b10342, one B200, n_max=2,
greedy, on a prompt carrying ~545 image tokens: 92.1 to 114.2 tok/s at 0.646
acceptance, greedy output byte-identical to the drafter-free run, no load
failure. The comment at the Auto promotion site cited llama.cpp #22673, which is
an MTP result, for a DFlash decision; it now cites the measurement.

Also fixes test_from_identifier_never_reads_a_sidecar_outside_the_boundary,
which patched is_dflash_architecture on the re-exporting module rather than the
one detect_dflash_file resolves it in, so its reads == [] assertion held whether
or not the lease boundary worked.

* Tighten the DFlash comments for PR #8338

* Apply ruff-format kwarg spacing for PR #8338

* Fix the DFlash download plan and two stale-state reloads for PR #8338

Five review items, all reproduced first.

The download plan promised the wrong files. A split sidecar contributed only its
first shard, so the variant read complete while the loader's completeness check
then refused the companion; it now carries the whole shard family. The pairing
weight came from the listing's first sibling while plan_from_expected_files keeps
the lexicographically first family, so a two-family variant key planned the
discarded family's sidecar; both now use the kept family. And a root-level
dflash- prefix is one real weights carry, which a listing cannot tell apart from
a drafter, so a 54 GB model was planned as a companion to a 15 GB variant; a
candidate is now bounded by the weights it would draft for, since a drafter is a
few layers of its target and cannot outweigh it.

The training coexistence guard charged the Auto DFlash sidecar even when extra
args owned --spec-type, which stops the loader's promotion, so a chat load could
be refused with 409 for bytes nothing would open. Extra args asking for
draft-dflash keep the charge.

The diffusion early-return cleared the speculative fallback state but not the
DFlash retry flag, and discovery runs before the metadata read that classifies
the model, so a transient sidecar failure tore down a healthy diffusion server on
every Apply.

Each fix has a regression test that fails without it.

* Carry the DFlash plan bounds into the runtime paths for PR #8338

Four review items from the second round, each reproduced first.

The budget still charged a forced dflash mode when extra args owned --spec-type.
_build_speculative_flags returns before any mode branch in that case, so neither
the forced mode nor the Auto promotion reaches the sidecar; only extra args
asking for draft-dflash themselves still pay.

The runtime picker had no size bound, so a root-level ordinary weight carrying
the dflash- prefix downloaded in full before its header could be read, which is
exactly what the download plan now refuses. It applies the same bound, sized from
the repo listing, and an unavailable size leaves the candidate eligible as before.

A permanent listing error records no answer at all, so _dflash_sidecar_absent
stayed False and the drafter_not_found arm relaunched a healthy drafter-free
server on every Apply. DFlash asks through _dflash_retry_needed instead, which is
set only for the failures worth another attempt.

A listing holding part of a split companion returned its first shard as usable,
contradicting the complete-set checks on snapshot and cache reuse and handing
llama-server a set it cannot open. The filename carries the set size, so the
listing is now checked before the download.

Each fix has a regression test that fails without it.

* Make the DFlash size and split rules agree across plan, fetch and guard for PR #8338

Six review items from the third round, each reproduced first. Five are places
the previous round's rules had not reached.

dflash_plan_files now filters candidate families before ranking rather than
after, so a half-published split set or an oversized ordinary weight at the top
of the order steps aside for a usable sidecar behind it instead of taking the
plan down with it. It also applies the split-completeness rule the runtime got
last round, since planning a set the listing only half carries reports the
download complete and then loses DFlash.

The runtime size bound compared the picked shard rather than its whole set, so a
split ordinary weight whose halves each sit under the target still downloaded in
full. It sums the family now, through a shared helper.

The training coexistence guard took the maximum over every root candidate with
no size bound at all, charging gigabytes for files the fetch itself refuses.
dflash_budget_bytes takes the target size and drops them.

The incomplete-split rejection added last round lands after outcome["listed"]
is set, so DSpark read a settled answer as retryable and relaunched a healthy
server on every Apply. It records absence explicitly.

SpeculativeType omitted dflash, so Typer rejected --speculative-type dflash
before any of the new loading code ran and the mode was reachable only through
Auto.

Each fix has a regression test that fails without it.

* Price DSpark by shard set and share one split-listing rule for PR #8338

Four review items from the fourth round, two of them under-charges that could
admit a load beside a running training job and then exhaust VRAM.

The guard priced a remote DSpark sidecar as the single file the ranking picked,
while llama-server maps every shard of a split set, so a two-shard sidecar was
budgeted at roughly half its resident weight. DSpark candidates are grouped into
shard families now and the selected family's total is charged, matching what
DFlash already did.

Auto granted DSpark first refusal on the strength of the listing alone. Since the
fetch now refuses an incomplete split set, the load falls through to DFlash,
which can be the larger of the two, and the guard had already returned the DSpark
figure. Only a complete set settles it.

The runtime DFlash picker filtered incomplete families after ranking rather than
before, so a half-published set at the top of the order returned a shard,
_download_companion_gguf refused it, and the loop ended instead of reaching the
complete sidecar behind it.

Extras owning --spec-type with their own --model-draft charged the discovered
sidecar as well, though _build_speculative_flags returns before that one is
emitted. Only the drafter that launches is charged now. Extras without
--spec-type still charge both, since Studio emits its own and which lands is
genuinely unknown.

The listing completeness rule was about to have three copies, so it moved into
utils.models.drafters as split_listing_is_complete and the plan, the fetch and
the guard all call it.

Each fix has a regression test that fails without it.

* Tighten the DFlash review-round comments for PR #8338

Comments and docstrings only, no code change: verified with comment_tools.py
check and the prepush gate's comment-only mode.

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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