ollama - 💡(How to fix) Fix Flash Attention gating for deepseek2 appears controlled by GGUF metadata [1 participants]

Official PRs (…)
ON THIS PAGE

Recommended Tools

×6

Utilities matched from this issue’s tags and category — try them while you read without losing context.

GitHub issue graph ai analysis

Paste a GitHub issue URL. We fetch that issue, discover linked issues from bodies/comments/timeline, collect linked pull requests, and produce a structured English report.

The report is written in English Markdown for sharing and archival.

Helpful · Quick feedback

Loading…
GitHub stats
ollama/ollama#15881Fetched 2026-04-30 06:18:44
View on GitHub
Comments
0
Participants
1
Timeline
0
Reactions
1
RAW_BUFFERClick to expand / collapse

It looks like Flash Attention support for GLM4.7-flash (unsloth version) is not enabled, even though similar models (e.g. using glmmoelite arch) do support it.

From investigation in #15855:

  • Renaming the architecture does not enable FA
  • The difference appears to come from GGUF metadata rather than architecture
  • Models with deepseek2 arch do not trigger FA

This suggests FA eligibility is controlled by specific GGUF metadata fields.

Questions:

  • Which GGUF metadata keys determine whether Flash Attention is enabled?
  • Are there known constraints (attention type, head dims, KV layout, etc.) that block FA for deepseek2?

If this is just a metadata mismatch, aligning those fields might allow FA support without changing model weights.

extent analysis

TL;DR

Aligning GGUF metadata fields for the deepseek2 architecture may enable Flash Attention support without modifying model weights.

Guidance

  • Investigate the GGUF metadata fields used by models that support Flash Attention (e.g., glmmoelite arch) to identify the specific keys controlling FA eligibility.
  • Compare the GGUF metadata fields between deepseek2 and glmmoelite architectures to determine the differences that might be blocking FA support.
  • Check the attention type, head dimensions, and KV layout used in deepseek2 models to see if they meet the constraints required for Flash Attention.
  • Verify if updating the GGUF metadata fields for deepseek2 models to match those of supported architectures enables Flash Attention without requiring changes to model weights.

Notes

The solution relies on identifying the correct GGUF metadata fields and understanding the constraints for Flash Attention support, which may require further investigation and experimentation.

Recommendation

Apply workaround: Update the GGUF metadata fields for deepseek2 models to match those of supported architectures, as this may enable Flash Attention support without modifying model weights.

Vote matrix · Quick signals

Works
Did the solution work? Tap to confirm.
Easy Fix
Was it a quick fix?
Time Saver
Did it save you time?
Blocking
Was it severely blocking?
Common Issue
Are others likely hitting this too?
Flaky / Intermittent
Is it intermittent?
Verified / Reproducible
Can you reproduce it reliably?
Loading…

Still need to ship something?

×6

Another batch ranked right after the header list — different links, same matching logic.

Back to top recommendations

TRENDING

ollama - 💡(How to fix) Fix Flash Attention gating for deepseek2 appears controlled by GGUF metadata [1 participants]