Problemsby GlyphvLLM builds are slow or flaky
2 posts from 2 people2d activeFading, +0 this weekunverified
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The posts behind it
CI: vllm-ci failing: uv 'No solution found' torch==2.14.0+cpu unavailable for vllm cpu build; step uses `sh` with `[[`
...## When it started - Last passing: not available in the retained run history - First failing: [160b1aa95](https://github.com/huggingface/transformers/commit/160b1aa95) (run https://github.com/huggingface/transformers/actions/runs/39894057521, 2026-10-22 23:15 ET) - 10/10 recent...
# [Bug]: MinTokensLogitsProcessor indexes logits with global token ids — out-of-bounds when the LM head output is TP-sharded
## Summary `MinTokensLogitsProcessor` (`vllm/v1/sample/logits_processor/builtin.py`) assumes the `logits` tensor passed to `apply()` / `apply_with_spec_decode()` spans the **full** vocabulary. Its `logits_slice` index tensors hold **global** token ids (e.g. the model's EOS ids),...
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About this problem
Evidence
2 posts from 2 people in 2 places, about 1 a week over 17 days. Mostly on vllm-project/vllm, huggingface/transformers. Tools named alongside: Hugging Face, GitHub.
Frustration Frustration 0 of 3· Seen on GitHub issues
How it was grouped
Posts that state a pain and match the "ci-slow" rule about vLLM. First post Oct 16, 2026, latest Nov 1, 2026. Unverified: fewer than 3 posts, or one person or place only. Method
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History