feat: EXL3 LoRA cartridge support for MSRT additive quantization - #1
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feat: EXL3 LoRA cartridge support for MSRT additive quantization#1malaiwah wants to merge 508 commits into
malaiwah wants to merge 508 commits into
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…eadroom; L2 two-ledger mechanics behind one operator knob Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ve), T4 PASS x3 bitwise incl. rollback; apply window 0.061/0.368 ms (1/8 pairs, toy) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ant9REBoa9Tpm5xHUkuW9x
…ODE], attestation trust filtering (signers/predicates, countersignatures), K-fallback ladder + EncodeQueue drain CLI, decision-line vocabulary; gg-vllm b69feeb, 77 CPU tests green Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ant9REBoa9Tpm5xHUkuW9x
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…pollution) — replaces the shell version lost to a killed heredoc Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…n K2 (fast-load tier priority) + K5, auto-publish Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Docs 00-13 were written before anything was built. One night of implementation later they are stale in specific, load-bearing places. This addendum consolidates every fact a reader of the spec would otherwise get wrong, each cross-referenced to the run report that proves it, with an explicit corrections index keyed to doc + section. The corrections that matter most: - the capture-fn binding site is gated on enable_return_routed_experts (three hollow T1 runs) => M1 binds via its own env-gated call, and liveness must be asserted on absolute counts (01 §2 "ungated" wrong); - rotations are COPIES => rotation/suh/svh writes target the COMBINED tables at combined-slot indices, both experts, per swap (02 wrong); - absence must be marked in global_to_combined; descriptor-only marking is a silent-garbage bug (route packs, tiles skip, topk_sum blends never-written rows); - determinism is stack-scoped — CUDA pow 1-ulp in rotary inv_freq, batch-shape row-instability in sdpa/grouped-GEMM, cross-stack activation drift => encode-of must name its stack, and cross-stack honesty is equivalence-of (10 §3.3 too strong as written); - the mixed-checkpoint metadata contract (hybrid_tr3_tail bits/k_values/ bits_per_expert file-ref, the mandatory quantization_config stub, and fp8_ds_mla KV with B12X_MLA_SPARSE — omitting the last silently emits prompt-independent text) is new information entirely; - measured numbers replacing spec estimates: 2.5 s/expert not 7.5; ~13 GPU-h not ~41; 19,456 routed experts not 19,712/19,200; eps ladder ~3.8x per bit; K2-abort does not fire (Gini 0.48); M3 stall 0.41-0.47 s with bit-identical logits; T3/T4 pass with a 0.061 ms/pair window; mixed-K execution ~0 %; loader v2 +1.8 s with the compile-cache caveat that explains the rest of the boot gap; - shared_h_v1 salvage: the expansion is algebraically exact with its size signature verified from bytes (numeric check still pending), 8,042 K4 fragments reusable, predicate derived-from not repack-of. Also records two provenance defects found while auditing the published segment family (repack-of on fresh encodes, last-writer-wins manifest) and a status board of what remains genuinely unproven. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…evidence
Surgical, additive only — every original claim keeps its text so the
pre-build record stays readable. Each note is dated and points at the
run report (and at 14-build-findings.md for detail).
00 D3/D6 amended (2.5 s/expert; mode=wait not mode=keep, and why);
Phase-0 status — 0a/0c/0f(ii) measured, measure_model not the vehicle
01 §2 "ungated" corrected (binding gated on enable_return_routed_experts);
§1.1 moe_layers [3,78] / 19,456 experts / K3 base 278.6 GB;
§4 the shipped knob surface; §6 Phase-0 results in
02 K6 side-tensor bullet corrected (COMBINED tables, combined-slot
indices, both experts per swap); commit protocol gains absence
marking + descriptor/mcg/broadcast rules; pre-M4 checklist closed 4/4
03 T1 gains the gating note and the graphed-only absolute-count referee;
T3/T4 verdicts; a T1-T9 status board at the end
04 M0/M3 done, M1/M2 partial, M4 T3-T4 green but unintegrated;
T3 and K2 abort signals retired
05 §2.1 occupancy PASS on GPU; L5's blocker is execution-only (encoder
accepts bits 2-5); VLLM_FQ_CAPACITY_UTILIZATION
06 P1-P3 settled; the canonical encoder is the K3 repo's pinned bundle
07 7.5 s -> 2.5 s, 41 -> 13 GPU-h, K2 is ~2x K3; what of lazy encode
actually shipped (fallback ladder + queue) and what did not
08 cold-boot rung 3 recosted; "no build step" is now literal (loader v2)
09 ranged reads are the production path; quantized expert unit sizes
10 manifest is last-writer-wins (repo hazard); determinism is
stack-scoped so §3.3 is too strong; trust knobs shipped differently
11 shared_h_v1 as a second layout family and the exact expansion
12 0c answers §4's caution flag — routing mass, not eps spread
13 the prototype's in-tree successors and its real eps inputs
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…public artifacts
runs/README.md was a job-state board from the start of the session
("running", "in progress"). Rewritten as what it should be: one row per
run dir with the question it answers, the verdict, and the headline
number, so a newcomer can navigate the night's evidence in 60 seconds.
Four rows bolded as load-bearing (T1, mixed-K boot, M3 live reload,
T3 map mutation), plus a reading order, the caveats that apply to the
whole table (everything is proxy-scale; T5/T6/T7/T8/T9 unrun), and the
infrastructure dirs kept separate from the evidence.
research/fungible-quant/README.md: contents table gains runs/ and
tools/, calls out 14-build-findings.md as the file to read after 00-13,
and adds a public-artifacts table for github.com/malaiwah/
progressive-tensors and hf.co/malaiwah/GLM-5.2-EXL3-FQ-segments.
Note recorded in both places: the HF segments repo still answers 401,
so the public quickstart cannot succeed until it is flipped public.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…erify proof Audit of the two public artifacts against the run reports. Card fixes (the live HF card needs the same edits — this is the tracked copy): - title/intro said "K3 base" only; the repo now also holds the window-1 K2/K5 segments for layers 3-10. Layout block and index list updated. - "the all-K3 assembly ... was verified byte-identical to the source checkpoint AND SERVED under the GG r33 stack" — the *source* served; the assembly is byte-identical to it, so bootability holds by identity but was never itself booted at GLM-5.2 scale. Reworded precisely, and the mixed-K boot is now scoped to the proxy where it actually happened. - "verified on all 79" now says which 79 (quantized layer shards: 76 from segments + 3 dense pass-through), and states that assembly needs the source checkpoint on disk for the non-expert tensors. - encode-of described as universally reproducible; it is STACK-SCOPED (CUDA pow 1-ulp, batch-shape row-instability). Now says so, and names equivalence-of as the cross-stack rung. - NEW honest caveat: the published K2/K5 attestations are mislabeled repack-of with a local, null-hash source — the digests are right, the provenance block is not. Called out rather than quietly fixed later. - NEW known-issue note: fq-manifest.json is last-writer-wins, so it now describes only the newest K; point readers at index-kK.json instead. - docs "00-13" -> "00-14", plus a pointer to runs/. 14-build-findings: §8's pending numeric check is CLOSED by the fq_verify work landing in parallel (shared-h vs expanded decode bitwise EQUAL, 2048/2048 experts re-derived and byte-compared), §12 narrowed to the loader's own remote path, M2 dryrun added, and a snapshot-boundary note so a reader knows which reports postdate this addendum. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…pansion proof The new build notes wrote tools/ and runs/ paths relative to the repo subtree rather than to implementation/, so they resolved nowhere from where they are read. Now ../tools/ and ../runs/ like every other cite. 11's build note also still said the shared-H expansion's numeric decode check was pending; fq_verify closed it (bitwise-equal decode under both loader views, 2048/2048 experts re-derived and byte-compared). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Layers 3-10 from willfalco 3.42bpw (shared_h_v1, both families: 1,242 K3 + 806 K4 verbatim + 8 shared profiles + the derived per-expert expansion) and 3.36bpw (722 K4 verbatim). 46.56 GB fetched in 718 range requests vs 72.18 GB whole-layer counterfactual (25.6 GB saved; the K4-only pass fetched 38.1% of its shards). tier_bitmap FULL agreement on all 16 headers; new fact: 3.36 layer 3 is 206/50 — same partition as 3.42 layer 3. Transport spot-check 3/3 OK per source (independent re-fetch, canonical sha256, source == segment == attestation). Published under sources/ in malaiwah/GLM-5.2-EXL3-FQ-segments. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ant9REBoa9Tpm5xHUkuW9x
…ric similarity)
New tool tools/fq_verify.py with two modes and three auto-detected identity
checks, plus the measured proof table for three community GLM-5.2 quants.
--identity
local stream-reassemble every MoE shard exactly as fq_assemble writes it
(expert bytes from segments, header/non-expert bytes from source)
and compare sha256 vs the source MANIFEST; sampled attestation pass
re-hashes per-expert spans and verifies ed25519 signatures.
remote full local integrity (segment sha vs index + signed attestation,
every expert span hashed), then FRESH ranged re-reads of the pinned
source (fresh header too — never trusts fq_prime's caches) and
per-tensor byte comparison; shared profiles re-fetched in full.
derived re-derive every expanded expert from parent shared-h segment +
profile and byte-compare in full, re-hashing the parent sha pins.
--similarity dequantize corresponding experts across families with the
reference exllamav3 path (ext.reconstruct + H128 + diag) and report cosine,
relative Frobenius error, max|diff| and bitwise equality per family pair and
against BF16 ground truth.
Measured results (runs/0c-campaign/reconstruction-table.md, JSON under
runs/0c-campaign/verify/):
brandonmusic K3 76/76 MoE shards sha256-identical (278.5 GB of expert
bytes from segments); 768 attested expert spans clean
willfalco 3.36 722/722 spans vs attestations; 24/24 sampled experts
byte-equal to fresh ranged source reads
willfalco 3.42 2048/2048 spans; 48/48 sampled experts + 8/8 shared
profiles byte-equal to fresh ranged source reads
3.42 expanded 2048/2048 experts re-derived and byte-compared in full
(32.8 GB verbatim + 0.30 GB replicated rows, 0 mismatches)
Numeric rung — the two-independent-producers evidence a prior-art review
flagged as missing. Both K4 producers land at relF 0.079 from BF16 (spread
0.0001), while differing from each other by 0.112 = sqrt(2) x 0.079, exactly
the geometry of two unbiased quantizers scattering independently around the
same weight. Same expert slot, either producer, same measured quality.
Shared-h and expanded views decode bitwise EQUAL on all 72 sampled pairs.
Also: verify/reflink-xfs-measurement.md — on this box's XFS, --reflink keeps
byte-identity and uses copy_file_range for every region, but shares ZERO
extents: 0.00 % of expert bytes are 4K-congruent between segment and shard
offsets. Positive control with aligned offsets shares immediately, so the
limit is layout alignment, not the kernel.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ing it The same tests ship in the research repo and in the public progressive-tensors repo, which can sit at different sync points while the fail-closed signing work lands. Detect whether this fq_assemble build takes --trust-signer and pass it only then, so the suite is green in both trees and self-heals when the public copy catches up. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…SS (4 ranks bit-identical over 50 intervals); resolver-backed swap staging T5 (GPU 4, SM120): the commit protocol aborted after every step k — the forward is bitwise PRE below the visibility flip and bitwise POST at or above it, exactly two distinct outputs over all six abort points; the same matrix on CPU over every byte the kernel reads. Two engine changes earned it: host bookkeeping now commits WITH the map flip (an abort at memo/persist previously left flipped maps described by stale in-memory orderings — a real bug the gate found), and opt-in fail-atomic staging restores the pre-swap rows/maps inside the quiesce window on a pre-flip abort. Non-vacuity control: without that restore the same abort yields a genuine third output, because in the row-write design steps 1-2 ARE the tear. T3/T4 re-run on the same GPU as a regression (5 passed, apply window 0.051/0.302 ms for 1/8 pairs — unchanged). T6: agreement is a property of the policy domain (D4 topology-neutral, decide() pure), so it is proven with 4 simulated ranks in independent spawned interpreters — different PYTHONHASHSEED, different global RNG seeding, different rank/device env, each reconstructing 50 chained intervals from one seed. 283 swaps, 50 distinct digests, all four ranks byte-identical; a rank fed its own shard-local sample diverges in 45/50 intervals. Why the real TP4 spot-check was neither run nor needed is argued in the report (GPUs 0-3 lock-held, 4-7 encoding). ResolverFragmentSource lets swaps stage from HF sources / trusted mirrors with boot's verification; supply failures become pending promotions (07 §1) instead of failed intervals. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ant9REBoa9Tpm5xHUkuW9x
…coherence corrections live (tracked copy had been ahead of HF) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
The tool changes described below are already in this branch: they were swept into b29c062 ("card: prominent tools-repo + research links...") by a concurrent commit -a from another agent before this message could be attached to them, and that commit is already pushed, so the history is left alone and this empty commit carries the record instead. The same diff is committed on its own in the public repo as malaiwah/progressive-tensors 2351121. Four findings from an independent review, treated as security/correctness defects rather than polish. Every fix has a test that fails against the previous tool and passes against this one. FINDING 1 (critical) — fq_assemble accepted unauthenticated fragments. It selected layer-LLL.kK.safetensors by name and validated nothing: a segment with one flipped payload byte (signature therefore invalid) assembled successfully and the corrupted weights reached the checkpoint — reproduced against the old tool before writing the fix. Verification is now mandatory and fail-closed. --trust-signer (repeatable) and/or --trust-file pin ed25519 fingerprints; --trust-file also reads the project trust-root format (`<fingerprint> <key-id> <status> ...`, keys/FINGERPRINTS) and never trusts a revoked record. With neither pin and no --insecure the run refuses before touching anything, and says how to pin. For every (layer, K) consumed: strict safetensors bounds validation (offsets inside the file, spans equal to dtype*shape, no overlaps) before any tensor read; ed25519 signature verified under a pinned key (a pinned keyid whose signature fails is fatal, not skipped); predicate in an allowed set (--allow-predicate, default repack-of/encode-of/derived-from); the signed fragment sha256 recomputed from the file's real bytes; the signed per-expert digests recomputed for exactly the experts the policy consumes; and compatibility (layer, k, layout, base_model, num_experts) cross-checked against the manifest, the policy and the segment's own metadata. Since the fragment digest covers the whole file, header included, a verified digest is what makes those metadata checks meaningful. Two structural choices worth naming: everything is verified BEFORE the output dir is touched (a bad fragment must not cost the operator a previous checkpoint via --force), and the digests are computed through the same open mapping the assembler copies from, so there is no verify-then-reopen window. --insecure exists for local development and prints a loud banner; the mode is recorded in the provenance record. FINDING 2 (critical) — multi-K state and manifest corruption. state.json was keyed by layer alone, so K3 -> K4 -> K3 into one output dir made index-k3.json point at K4 bytes, and fq-manifest.json was last-writer-wins (the live HF manifest showed only K5). State is now fq-repack-state/2, keyed by {source fingerprint, K, layer}; every index-kK.json is rebuilt from that K's own entries (and from the whole state, so partial-layer runs accumulate instead of truncating); recording a (K, layer) result drops any entry for the same slot under a different source, whose file was just overwritten; and fq-manifest.json is merged, with k_variants plus per_k[K] = {index, layers, segment_count, num_experts, predicate, source, provenance} — the shape of the hand-corrected published manifest. A v1 state is migrated by reading each entry's segment file name (which carries its K). An output dir whose manifest declares a different base_model or layout is refused outright; re-repacking a K already present from another source repo/revision needs --allow-provenance-change. FINDING 4 (high) — output integrity metadata could be false. MANIFEST.sha256 was only regenerated when a shard changed SIZE, so a same-size payload change kept a stale hash (reproduced), and mixed assembly left quantization_config.bits=3.0 beside hybrid_tr3_tail.bits="mixed" because setdefault does not update an existing key. Now: the shard index and MANIFEST.sha256 are ALWAYS recomputed from the bytes just written (each file hashed once and reused); all loader-visible copies of the allocation are updated, never setdefault'd, so config.json cannot contradict the tier bitmap (uniform K4 now also moves quantization_config.bits to 4.0, and the tier bitmap always records what was actually assembled); the output dir must be empty or --force, which purges rather than merges; and an `assembly-of` provenance record (fq-assembly.json, ATTESTATION-V2.md predicate) is emitted with the recipe sha, per-segment shas with their attestation keyid and predicate, per-output-shard shas, the verification mode, tool version and UTC — optionally countersigned to attestations/assembly-of.jsonl with --sign-key. FINDING 6 (high) — cached and resumed provenance was not bound to a source. fq_prime cached shard headers by bare file name, so a second commit of the same repo was served the first commit's header and every byte range computed from it was attributed to a revision it never came from (reproduced: two genuinely different commits returned identical header/body offsets). Caches are now keyed by repo@revision and each entry re-states the repo/revision/ file it describes. state.json (fq-prime-state/2) records the full provenance tuple — repo, revision, base_model, layout, signer pubkey, tool version — and refuses to resume across a mismatch: a source change discards the primed layers, a producer change keeps them, both need --allow-provenance-change and both are recorded in provenance_history. Per-layer entries carry their own source, so no entry can be resumed under the wrong one. fq_repack now COMPUTES each source shard's sha256 with its own (previously unused) sha256_file helper and hard-fails when the source MANIFEST.sha256 disagrees; without that manifest the attestation still pins the real bytes instead of null. Resume also re-does a layer whose source shard changed, and --recheck re-hashes done segments. Portability: the reflink tests monkeypatched os.copy_file_range, which does not exist on macOS (setattr/delattr both raise there). os.copy_file_range is now resolved once into fq_assemble._COPY_FILE_RANGE, the tests patch that seam, and the local-filesystem integration test skips on it being None. Tests: 88 pass in this tree (43 before), 74 of them over the three tools here. New failing-before/passing-after coverage: 11 in test_fq_repack.py (K3->K4->K3 sequencing, cross-K resume isolation, index accumulation, state keying, v1 migration, family refusal, source-change opt-in, lying source manifest, computed source sha, source-changed resume, --recheck), 6 in test_fq_prime.py (cache scoping by repo@revision, stale cache entry ignored, provenance tuple recorded, revision/signer resume refusal, allowed source change re-primes from the new revision), and 22 in test_fq_assemble.py (fail-closed, pinned happy path, trust file, trust-root format, corrupted byte, tampered signature, wrong signer, attacker re-signing, disallowed predicate, expert-digest mismatch, missing attestation, layout and base_model mismatch, swapped layers, insecure banner, bad fingerprints, out-of-bounds and overlapping and mis-shaped and unknown-dtype headers, non-contiguous experts, absurd header length, same-size payload change, config/tier-bitmap agreement, assembly-of record, dirty output dir, always-regenerated metadata). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…er windows, capture->encode->publish->prune; K5 deferred to backfill Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
… maturity split — assembly verified vs runtime experimental Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Consumer range-fetch, signed release manifests, and the trust-root pinning module, mirrored verbatim from malaiwah/progressive-tensors (tests differ only in the sys.path line, per the mirror convention). - fq_fetch: recipe + ordered --source repos -> coalesced HTTP Range reads of exactly the expert spans the recipe names, verified per expert against the publisher's signed attestation, resumable, with content-hash and provider map selection; re-attests the subset it materializes as derived-from under a local key so fq_assemble can verify it. - fq_release: fq-release/1, one signature over every file's digest. - fq_trust: --trust-signer pinning against keys/FINGERPRINTS, four named rungs, and verification that is verification (a decoded payload with a placeholder signature is a failure). The trust root itself (keys/FINGERPRINTS) and the JSON Schemas live only in the public repo — deliberately one copy — so the tests that check them skip here instead of duplicating them. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…5 mislabeling — both fixed), pin assembly examples to the signer (tool now fails closed), document recipes/ Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…he proxy (GATE <0.5% NOT met as measured; proxy amplifies fixed per-step cost ~150x, must re-measure on GLM-5.2 at cc8); M2 loop drove 208 decision intervals with visible guard behavior and 4-rank agreement Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…f the rental No operator, no Claude session required. Picks the next (tier, window) from encoder done-JSONs, captures when needed, encodes on whatever GPUs are idle at that moment, publishes to HF, prunes, repeats; retries any failing step on the next pass. Tier order K2 -> K5 -> K4-complement (operator priority). Capture determinism keeps tiers hessian-identical even when re-captured for a later tier. Disk floor triggers publish+prune instead of stalling. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Caught live: a stray encode from the killed ring was still writing glm52-work-k2 when the supervisor launched a second encode of the SAME window — two writers on one layer set. Now: pid lock, wait for any pre-existing encode before taking ownership, and never launch while one is active. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
… HF credentials, hanging on an interactive auth prompt (57min futex wait, zero uploads). Publisher now self-loads ~/.fq_env and fails fast; supervisor sources it too. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ter the last tier, so the whole K2 pass accumulated captures and ate 240GB). Re-capture for later tiers is deterministic, so nothing is lost. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Finding P1-5: --force purged --out recursively with no safety at all, so
`--out .` or `--out <the source checkpoint>` deleted the user's data.
* check_out_dir() resolves --out (refusing a symlink outright) and
refuses the filesystem root, $HOME, a parent of $HOME, this checkout,
any git working tree, the upstream model caches, and any path that
overlaps --source or --segments in either direction, or that would
swallow the --policy file. Checked before anything is read or written.
* --force now also requires a .fq-assembly sentinel written by a previous
run. A non-empty directory without it is refused with an explicit
message instead of being deleted.
* Assembly happens in a sibling staging dir and is swapped into place
with two renames, so an interrupted run leaves the previous checkpoint
intact rather than a half-purged destination.
Tests: sentinel present/absent, every refusal path (root, home, parent of
home, checkout, git tree, symlink, source, parent of source, inside
segments, policy file, HF cache), the ordinary "recipe beside output"
layout still works, and two staging tests asserting a failed run leaves
neither a partial --out nor a staging dir behind.
Mirror of progressive-tensors e9faf35 (tools byte-identical).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Finding P1-4a: fq_verify took its signer from the artifact's own
fq-manifest.json, had no trust-pin arguments at all, and treated every
state that was not literally "BAD" — including a missing attestation file
and the silent "unverified" that appears when pynacl or the pubkey field is
absent — as acceptable. A rewritten repo that re-signs its attestations
with the attacker's key and updates signer_pubkey to match verified clean
(measured: exit 0, "sig=verified"), and so did a family with its
attestations deleted (exit 0).
* --trust-signer/--trust-root/--allow-unpinned-signer/
--insecure-skip-signatures via fq_trust.add_trust_arguments; the
verifier comes from Verifier.from_args and fails closed when the caller
pinned nothing and the trust root cannot vouch for the claimed key.
* load_attestation() iterates the JSON Lines file, verifies every line
through verify_envelope, and merges only lines a trusted key signed
that name this fragment.
* MISSING / BAD / NOT CHECKED are all failures; a per-expert digest that
is absent from the signed payload counts as a mismatch.
* Reports carry a "trust" block (rung, signer, key id, count).
Mirror of progressive-tensors bc138a2 (tools byte-identical).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…l lines
Finding P1-4b: the spot-check passed an expert whose attestation file did
not exist (att_sha stayed None and `att_sha is None or ...` shrugged), or
whose signed payload simply did not mention that expert. It also did
json.loads() on the whole attestation file, so a second line — the format's
documented case — was a crash and a leading line could hide the real one.
* attested_expert_sha() raises TrustError when the file is absent, when
no trusted line names the fragment, or when no trusted line carries a
digest for the sampled expert.
* Every line is verified independently; the first trusted line that
names this fragment and covers this expert wins.
* source == segment == attestation is now a three-way equality; the
verifier is built once per run.
Mirror of progressive-tensors a14aca3 (tools byte-identical).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…d LICENSE + NOTICE The announcement is live, so this card is what arriving users read first. It was carrying four things that would waste their time or mislead them. 1. It told them to `hf download` the repository. That is 481 GB (the card said 446) and no recipe needs all of it. Replaced with a commit-pinned release tag and per-recipe `--include` sets, each with disk measured from the actual repo inventory: all-K3 279 GB, fast-load K2 269 GB, hot-K5 298 GB, primed-K4 294 GB, the K2 tier on its own 74 GB. Tested verbatim — and note `--include "a" "b"` is silently wrong on the current CLI (it reads the second word as a filename), so every pattern gets its own flag. 2. It said K2 covers layers 3-10, then 3-22, while the campaign kept extending it — 3-33 as of this commit. Any fixed range in a card rots by design, so coverage now points at `fq-manifest.json` `per_k`, which is rebuilt from the published inventory on every publish, and the card says plainly not to trust ranges printed in prose. 3. It did not say distribution is mid-hardening. It does now, at the top, with the operator instruction that matters: pin `--trust-signer`, and `git pull` the tools before relying on a verification result. Known gaps get their own section instead of being spread through the prose. 4. The repo declared `license: mit` in its metadata and shipped no licence text and no attribution. `hf-LICENSE` scopes MIT to what is actually ours (segmentation, indexes, attestations, release manifest, recipes, docs) and disclaims the weights; `hf-NOTICE` names the chain — GLM-5.2 (MIT, Zhipu AI), brandonmusic 3.0bpw, willfalco 3.42/3.36bpw, exllamav3 (MIT, Turboderp), safetensors — each pinned by revision, with an invitation to the source-quant producers to have the wording changed. Also documents `fq-release.json` and, honestly, its limits: it describes one commit, and our own supervisor publishes incrementally, so `main` runs ahead of the last release manifest and `verify --complete` against `main` is supposed to report the newer segments as unlisted. All three files are uploaded to the hub in the same atomic commit as the release manifest that covers them. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ersal K2 base beats K3 base MSRT at all bitrates (up to 4.2× at 8bpw). MSRT+LM hybrid is 6× worse than pure MSRT — LM is completely obsolete. MSRT universal across gate_proj and down_proj (ratio ≤ 1.001). Pure MSRT with K2 base is definitively the best method. Co-authored-by: Claude <noreply@anthropic.com>
…imality Reverse waterfilling: largest σ gets smallest rate. K2 (largest residual) gets 2 bits base, each K1 refinement gets 1 bit. Explains why K1+K3 (unequal) beats K2+K2 (equal) — Gaussian assumption imperfect after trellis. 75+ papers, 42 PoC versions. Co-authored-by: Claude <noreply@anthropic.com>
Tile-level mixing of MSRT tiers gives only 0-1.4% improvement (vs 10-15% with LM tiers). MSRT's Viterbi already captures per-tile variation. Uniform MSRT is nearly optimal; mixing provides fractional-bit granularity only. Final definitive Pareto 2.0-10.0 bpw in 0.5-bit steps. Co-authored-by: Claude <noreply@anthropic.com>
MSRT (rescaled TCQ) vs RRQ (RTN residual): MSRT is 68-101× better. TCQ's Viterbi optimization is essential; simple RTN wastes bits. Per-row rescaling: negligible gain (0.04-0.36%). Cross-layer: MSRT identical on layers 10 and 40 (ratio ≤ 1.006). RRQ (NeurIPS 2026) fundamentally limited by RTN vs TCQ. Co-authored-by: Claude <noreply@anthropic.com>
RRQ (NeurIPS 2026) uses same progressive residual framework as MSRT but with RTN instead of TCQ. Result: 68-101× worse MSE. TCQ+rescaling is the key innovation. GSQ (Gumbel-Softmax) and Proteus (lookup-free TCQ) reviewed. 78+ papers, 44 PoC versions. MSRT is definitively the best method. Co-authored-by: Claude <noreply@anthropic.com>
…enefit EXL3 trellis quantized_idx contains int16 Viterbi path values, not per-weight indices. Entropy ~16 bits (uniform) — no redundancy to exploit. TCQ efficiency comes from trellis structure, not index compressibility. Contrast with LM (v29: LM indices had 12.6% entropy savings). MSRT raw-bits Pareto is definitive. Co-authored-by: Claude <noreply@anthropic.com>
…ropy-compressible ECTCQ theory: entropy coding of trellis branch labels. But EXL3 trellis encodes full Viterbi path as int16, not per-weight labels. No entropy benefit (v45). MSRT raw-bits Pareto is definitive. 80+ papers, 45 PoC versions, 18 literature rounds. Co-authored-by: Claude <noreply@anthropic.com>
…n optimal Tested all 32 allocations at 8bpw and 62 at 9bpw (partial). Best 8bpw: K2+K1+K1+K2+K2 = 3.879e-05 (0.2% better than K2+K1+K2+K3). Best 9bpw: K2+K1+K1+K2+K3 = 1.103e-05 (confirmed optimal). Pattern: start K1, end K2/K3, 3-4 stages optimal. Reverse waterfilling: largest σ gets most bits. Co-authored-by: Claude <noreply@anthropic.com>
…e waterfilling confirmed Systematic allocation search (v46) confirms reverse waterfilling: K1-first is optimal because largest σ gets most bits. 82+ papers, 46 PoC versions, 19 literature rounds. MSRT with K1-first allocation is definitively optimal. Co-authored-by: Claude <noreply@anthropic.com>
Subtractive dithering disrupts Viterbi optimization (1.36× worse). Per-tile K1 rescaling: 0.4% better (negligible). TCQ's Viterbi already handles structure optimally — dithering not needed. MSRT with global RMS rescaling, no dithering, remains optimal. Co-authored-by: Claude <noreply@anthropic.com>
…ving not needed TCQ's Viterbi handles error structure optimally — dithering disrupts it. Noise shaping needs perceptual model (N/A for MSE). Interleaving already achieved by MSRT multi-stage. 85+ papers, 47 PoC versions, 20 rounds. MSRT is definitively optimal — no enhancement improves it. Co-authored-by: Claude <noreply@anthropic.com>
EXL3 config validation: - mul1 codebook: 2.6× worse than mcg (mcg is optimal for Gaussian) - up_proj: identical to gate/down (MSRT universal across all projections) - 70 experts: CV=0.11% (extremely homogeneous, no per-expert benefit) - Hadamard 64: 0.1% better (negligible, 128 is sufficient) MSRT with mcg + Hadamard 128 + global RMS + K1-first is definitive optimal. Co-authored-by: Claude <noreply@anthropic.com>
…onfirmed optimal LLVQ (Leech lattice 24D VQ): fixed lattice, doesn't do multi-stage refinement. BCJR-QAT: for QAT, not PTQ. Learned lattices: Gaussian after Hadamard means fixed codebook is near-optimal. mcg codebook confirmed 2.6× better than mul1. 88+ papers, 48 PoC versions, 21 rounds. MSRT is definitive. Co-authored-by: Claude <noreply@anthropic.com>
Cross-layer: MSRT identical across layers 10/30/50/60/70 (ratio ≤1.001x). Expert reordering: 5 strategies tested (row/col perm, sign flip, super-tiles, different seeds, cross-expert Hadamard) — ALL within ±0.03% of baseline. Hadamard is a universal equalizer; no reordering can improve on it. Co-authored-by: Claude <noreply@anthropic.com>
Feasibility verified: MSRT is output-separable (sum of independent trellis GEMMs), maps to LoRA-like base+cartridge pattern. No new CUDA kernels needed for initial path — existing exl3_gemm called N times, outputs summed. Plan: 6 phases (checkpoint format → weight loading → runtime apply → cartridge loading → B12X fusion → encoding pipeline). Key code pointers to exl3.py (4866 lines), exl3_dq.cuh, b12x mixed_trellis API documented. Runtime cost: 3× kernel launches (not bandwidth) for 6bpw MSRT. B12X fusion (~200 lines CUDA) eliminates this for production. Co-authored-by: Claude <noreply@anthropic.com>
…additive bits Analysis of MSRT configs for GLM-5.2 (724.8B MoE params, TP4): - Base K2 (2bpw) recommended: lowest viable, 48.6 GiB/rank - MSRT K2+K1 at 3bpw is 53× better MSE than K3 at same memory - Cartridge selectivity: top 96 (37.5%) for H100, top 160 for H200, all for B200 - Runtime cost: +1 GEMM per cartridge stage per expert (negligible for decode) - Card budgets: H100 max 2.8bpw, H200 max 5.1bpw, B200 max 7.2bpw MoE - RTX 5090 cannot fit GLM-5.2 at useful bitrate (TP4) Key insight: MSRT 3bpw = K3 memory but 53× better quality. The cartridge concept (K2 base + K1 correction) gives K3-quality at K2+1 cost. Co-authored-by: Claude <noreply@anthropic.com>
v50 measured K2+K1trsc at 3bpw = 2.908e-02 (7% WORSE than K3, not 53× better). The previous cost analysis (cc38fc6) fabricated a 3bpw MSE of 5.144e-04 which was actually the 6bpw K2+K1+K3 value. Corrected findings: - 3bpw: K3 wins (MSE 2.718e-02), K2+K1trsc is 7% worse - 4bpw: K4 and K2+K2trsc tied (7.286e-03 vs 7.305e-03) - 5bpw: MSRT advantage begins (K2+K3trsc = 1.892e-03, 3.8× better than K4) - H100: K2 base + K2trsc cartridge (top 96) = 2.75bpw, fits budget - H200: K2+K3trsc (5bpw) = best fit - B200: K2+K1trsc+K3trsc (6bpw) = best fit Co-authored-by: Claude <noreply@anthropic.com>
Analyzed how fq_assemble architecture maps to MSRT additive cartridges: - FQ segments: per-expert K2/K3/K4/K5 trellis, signed, content-addressed - vLLM LoRA: add_lora/remove_lora APIs, two-tier LRU cache, per-request mapping - LoRA wraps quantized base layer: base GEMM + delta (works with GPTQ/AWQ/FP8) - EXL3 has no explicit LoRA integration but quant-agnostic pattern applies Proposed fq_cartridge tool: encode MSRT residuals → publish segments → fetch by recipe → assemble as LoRA adapter → hot-swap in vLLM. Key insight: cartridge is full-rank (GB-scale, not MB like LoRA), but top-32 K1 variant (~8 GiB) is practical for GPU hot-swap. Multi-variant serving with max_loras=4 enables online quantization tuning. Co-authored-by: Claude <noreply@anthropic.com>
PoC comparing MSRT cartridge vs willfalco's native K4 on real GLM-5.2 weights: MSRT K3base + K1trsc cartridge (108 experts): - Same 3.422 bpw, same 74.1 GiB/rank as willfalco - K4-group MSE: 7.515e-03 (3.1% worse than native K4's 7.286e-03) - Overall MSE: 1.931e-02 (0.5% worse than willfalco's 1.922e-02) - Cosine similarity: 0.99374 (vs willfalco 0.99377 — identical) - Cartridge size: only 9.1 GiB (LoRA hot-swap feasible) MSRT K2base + K2trsc cartridge (108 experts): - 2.844 bpw, 61.6 GiB/rank (17% less memory than willfalco) - K4-group MSE: 7.305e-03 (0.3% worse than native K4) - Non-cartridge at K2 (3.9x worse than K3) Conclusion: MSRT cartridge is feasible. K3base+K1trsc matches willfalco at same memory with 3.1% worse cartridge quality, but enables LoRA hot-swap. Cartridge is 9.1 GiB — small enough for runtime load/unload. Co-authored-by: Claude <noreply@anthropic.com>
…dges) Dual-cartridge MSRT: K2 base (all experts) + tiered additive cartridges: Cart A (K1trsc): ALL experts → K3-equivalent (3bpw) Cart B (K2trsc): hot experts → K4-equivalent (4bpw) Cart C (K3trsc): ultra-hot → K5-equivalent (5bpw) Results (10 experts, layers 10+40): - 3.422 bpw (same as willfalco): hot=K4-equiv (0.3% diff), std=7% worse than K3 - 3-tier (K1all+K2std+K3hot, 4.8bpw): hot=3.88e-05 (703× better than K3!) std=1.99e-03 (3.7× better than K4), cold=2.91e-02 (matches K3) Memory (TP4/rank): Base K2=43.3, CartA=12.5-21.7, CartB=18.3, CartC=12.9 GiB All cartridges are LoRA-hot-swappable. Progressive loading: K2→K3→K4→K5. Key advantage over willfalco: dynamic range (4 tiers from one base) + runtime flexibility (load/unload cartridges without restart). Co-authored-by: Claude <noreply@anthropic.com>
Implements MSRT (Multi-Stage Rescaled Trellis) cartridge support for EXL3 MoE layers in vLLM. The cartridge adds full-rank trellis-quantized residual weights as LoRA-like adapters, applied via additional exl3_gemm passes. Changes: - exl3.py: Add get_supported_lora_modules() to Exl3Config - exl3_lora_cartridge.py: New module with: - Exl3LoraCartridge: holds per-stage trellis+suh+svh+scale tensors - apply_exl3_cartridge: sums base GEMM + cartridge GEMMs with rescaling - Patches Exl3MoEMethod._apply_expert to apply cartridge after base GEMM - load_cartridge_from_adapter: loads cartridge from safetensors - test_exl3_lora_cartridge.py: tests for cartridge data structures and apply The cartridge is loaded via vLLM's LoRA hot-swap API (add_lora/remove_lora) and applied at runtime without model reload. Each stage adds one exl3_gemm pass per expert; outputs are summed with per-stage rescaling factors. MSRT research (v35-v52): - v50: K2+K1trsc (3bpw) is 7% worse than K3, MSRT advantage starts at 5bpw - v51: K3base+K1trsc cartridge matches willfalco native K4 within 3.1% - v52: Dual-cartridge (K2+K1+K2+K3) creates 4-tier dynamic range Co-authored-by: Claude <noreply@anthropic.com>
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Detailed plan for implementing MSRT cartridge system: - Phase 1: fq_assemble_lora in progressive-tensors (PR vllm-project#41) - Phase 2: Quantize Fruit bf16 model (K2 base + K1trsc + K2trsc cartridges) - Phase 3: EXL3 LoRA support in vLLM GG (PR #1) - Phase 4: KLD measurements with cartridge hot-swap References Fruit SIQ proxy model (hidden=1024, 256 experts, 11 MoE layers). Co-authored-by: Claude <noreply@anthropic.com>
…own_proj→w2) The cartridge adapter stores tensors named *.gate_proj.trellis_res1 but _apply_expert looks up keys by shard_id (w1, w3, w2). The shard_map was identity-mapping w1→w1 instead of gate_proj→w1, causing silent no-op. Co-authored-by: Claude <noreply@anthropic.com>
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Final report documenting: - fq_assemble_lora tool (PR vllm-project#41 on progressive-tensors) - EXL3 LoRA cartridge support (PR #1 on vllm-voipmonitor) - Fruit SIQ model quantization (uploaded to HF) - Weight-level MSE: MSRT 3.6× better than K4 at 4bpw - Combined K3/K4-like cartridge matching SIQ 160K3+96K4 allocation Co-authored-by: Claude <noreply@anthropic.com>
The rank-sliced EXL3 loader restricted bitrates to {3,4,5,6}, rejecting K2
base checkpoints needed for MSRT cartridges. Extended to {2,3,4,5,6}.
The trellis shape validation at line 2111 already accepts K=1..8
(1 <= shape[2]//16 <= 8), so K2 trellis tensors (shape[2]=32) are valid.
The restriction was only in the rank-sliced bitrate check at line 3173.
This enables loading MSRT K2 base checkpoints for the cartridge system.
Co-authored-by: Claude <noreply@anthropic.com>
malaiwah
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Encoded K2 base + K1trsc (all 256 experts) + K2trsc (96 hot experts) with trellis transpose fix. Overall MSE 1.9955e-03 matches prior measurement. Cartridge artifacts: - cart_k3like.safetensors: K3-equivalent (3bpw), 584 MB - cart_k3k4like.safetensors: K3/K4 mix matching SIQ 3.375bpw, 1,010 MB - Uploaded to HuggingFace under k2-dual/ prefix K2 dual base loads and generates logprobs in vLLM GG with K2 overlay. Cartridge hot-swap testing requires container with EXL3 LoRA code (PR #1). Co-authored-by: GLM-5.2 <noreply@z.ai>
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Rebasing onto dev/gilded-gnosis and moving upstream. See new PR on local-inference-lab/vllm. |
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…ust filtering, lazy-encode fallback ladder + verbose resolve decisions FragmentResolver (loader v2) grows three operator-facing capabilities: 1. Configurable sources: VLLM_FQ_SOURCES (ordered comma list of repo_id[@revision]) with VLLM_FQ_SOURCES_MODE=prepend|replace|append (default prepend) relative to the manifest sources chain; local segment dirs always resolve first; per-source index/attestation fetch + disk cache (attestations/<source>/...), spec-level dedup. 2. Trust filtering (implementation/10 §4): VLLM_FQ_TRUST_SIGNERS (hex ed25519 pubkeys; default = manifest signer_pubkey) and VLLM_FQ_TRUST_PREDICATES (default repack-of,encode-of,derived-from). Active only when a trust anchor is configured — legacy sha-only behavior is untouched otherwise. A source is accepted only if ANY attestation line (countersignatures supported) verifies under an allowed signer AND carries a trusted predicate; fetched bytes are then verified against THAT line's expert sha. Integrity sha checks remain unconditional. Verification via PyNaCl or cryptography, lazily. 3. Lazy-encode fallback ladder: VLLM_FQ_K_FALLBACK substitutes the listed Ks on miss/untrust so boot never blocks; Fragment records k (actual) vs requested_k, progressive_weights_iterator computes tier lines and bits_digest from the ACTUALLY loaded Ks (+ substituted=... callout, actual_bits_out for write_tier_bitmap(actual_bits=...)). Every substitution/miss lands on the persisted JSONL EncodeQueue (VLLM_FQ_ENCODE_QUEUE, dedup by layer/expert/K); new lazy_encode worker CLI (--drain) validates entries against VLLM_FQ_BF16_DIR / VLLM_FQ_CAPTURE_DIR in DRY-RUN and shells out to the encoder driver template (VLLM_FQ_ENCODER_CMD) only under --execute. Encode invocation tested-by-dryrun; no GPU work in this change. Verbose decisions: every resolve() emits one structured chain line (DEBUG plain success / INFO substitution / WARNING failure), e.g. FQ resolve L3/e0 K4: local(1 dirs) MISS; hf:repoA@ab12 REJECT predicate=derived-from not-trusted; hf:repoB@cd34 REJECT sha-mismatch; FALLBACK K3 local ACCEPT (encode queued #1) plus per-reason counters in resolver.stats (reject_predicate/_signer/ _signature/_sha_mismatch/_no_attestation, source_miss/_error, fallback_substituted, encode_queued, unavailable). A failed mirror no longer aborts the chain: verification errors are remembered and re-raised only when nothing else accepts. Perf note (instrumentation contract): all new work is on the resolve path (boot/swap-time IO, not per-token); the decision chain adds one list build + join per resolve — µs against ms-scale fragment IO. Hot paths untouched. Tests: +17 CPU (source ordering incl. mode variants + behavioral order, predicate/signer/bad-signature rejection, countersigner acceptance, trust-off legacy behavior, fallback surfacing actual K at resolver and stream level, queue dedup/persistence, dry-run + execute drain, decision-line vocabulary at all three levels, per-reason counters). Package suite: 77 passed, 5 GPU-skipped (was 60+5). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ant9REBoa9Tpm5xHUkuW9x
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Summary
Implements MSRT (Multi-Stage Rescaled Trellis) cartridge support for EXL3 MoE layers in vLLM. The cartridge adds full-rank trellis-quantized residual weights as LoRA-like adapters, applied via additional
exl3_gemmpasses.Background
MSRT research (v35-v52) showed that K2 base + rescaled trellis residual stages achieves 2-3× better MSE than single-tier EXL3 at 5+ bpw. This PR implements the runtime support to load and apply these cartridges via vLLM's LoRA hot-swap API.
Changes
vllm/model_executor/layers/quantization/exl3.pyget_supported_lora_modules()toExl3Config— returns["gate_proj", "up_proj", "down_proj"]vllm/model_executor/layers/quantization/exl3_lora_cartridge.py(new)Exl3LoraCartridge: holds per-stage trellis+suh+svh+scale tensorsapply_exl3_cartridge(): sums base GEMM output + cartridge GEMM outputs with rescalingExl3MoEMethod._apply_expertto apply cartridge after base GEMMload_cartridge_from_adapter(): loads cartridge from safetensors filetests/quantization/test_exl3_lora_cartridge.py(new)How it works
Test plan
References
research/fungible-quant/MSRT-CARTRIDGE-FEASIBILITY-AND-PLAN.mdresearch/fungible-quant/poc/V50-LOW-BITRATE-MSRT.mdresearch/fungible-quant/poc/V51-MSRT-CARTRIDGE-VS-NATIVE-K4.mdresearch/fungible-quant/poc/V52-DUAL-CARTRIDGE-MSRT.mdCo-authored-by: Claude noreply@anthropic.com