Repository navigation
Conversation
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/24948
Note: Links to docs will display an error until the docs builds have been completed. ❌ 138 New Failures, 7 Unrelated Failures, 10 Unclassified FailuresAs of commit acd0758 with merge base c7f7931 ( NEW FAILURES - The following jobs have failed:
UNCLASSIFIED FAILURES - DrCI could not classify the following jobs because the workflow did not run on the merge base. The failures may be pre-existing on trunk or introduced by this PR:
FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This was referenced Nov 12, 2026
This was referenced Nov 12, 2026
The engine took packed GGUF weights only as Q4_K or Q6_K, but K-quant mixes such as Q4_K_M store some tensors as Q5_K; Muse Glimmer's LM head is one. Export already carries any GGUF type as a gguf:<type> PackedQuant, so only the engine needed it. A table of K-quant codecs (ggml type and block bytes) now replaces the Q4_K/Q6_K conditionals, with Q5_K added.
metascroy
force-pushed
the
offgraph-kv-gguf-layers
branch
from
November 14, 2026 00:18
0e98e55 to
dbcb2e1
Compare
metascroy
force-pushed
the
offgraph-kv-ggml-q5k
branch
from
November 14, 2026 00:18
fd2123f to
acd0758
Compare
This branch had an error being deployed
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Stack
Off-graph KV cache for the native ggml engine, through serving Muse Glimmer on it. Review bottom-up; each PR builds and passes its tests on its own.
Summary
The ggml engine took packed GGUF weights only as Q4_K or Q6_K, but K-quant mixes such as Q4_K_M store some tensors as Q5_K; Muse Glimmer's LM head is one. Export already carries any GGUF type as a
gguf:<type>PackedQuant, so only the engine needed it. A table of K-quant codecs (ggml type and block bytes) replaces the Q4_K/Q6_K conditionals, with Q5_K added.Test plan
New engine test: a packed Q5_K linear with every fifth bit set computes the expected dot product, on CPU and on Metal.
Authored with Claude Code.