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Glq

v0.6.9 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 14d Model Serving & MLOps
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

inference llm model-compression pytorch quantization

Summary

AI summary

Fixed mixed‑precision profiling KeyError and added vLLM 0.25 support.

Changes in this release

Performance Medium

Improves odd‑bpw decode speed to near parity with even‑bpw.

Improves odd‑bpw decode speed to near parity with even‑bpw.

Source: llm_adapter@2026-07-13

Confidence: high

Bugfix Medium

Fixes KeyError in mixed‑precision profiling for e8p codebook.

Fixes KeyError in mixed‑precision profiling for e8p codebook.

Source: llm_adapter@2026-07-13

Confidence: high

Full changelog

Fast odd-bpw (3/5/7) decode

The trailing E81B residual stage now uses SM-saturating split-K GEMM/GEMV kernels (+ M-parallel grouped-MoE) with a smem-resident codebook, replacing the 1-warp lookup-matmul — odd-bpw decode was ~7–8× slower than even-bpw, now near parity. Bit-exact + deterministic; existing odd-bpw checkpoints work unchanged.

vLLM 0.25 support

glq_vllm detects MoE layers via RoutedExperts (0.25 split FusedMoE into a factory function), version-guarded for ≤0.23. Serves coherent across 26B-A4B MoE, SmolLM2/3, and Gemma-4 E4B/12B/31B.

Fixes

Mixed-precision (--min-bpw/--max-bpw) profiling KeyError on the e8p codebook.

pip install glq

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Beta — feedback welcome: [email protected]