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This release fixes issues for SREs watching stability and regressions.

Published 1mo LLM Frameworks
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai apple-silicon benchmarks cli gguf gpu
+7 more
huggingface inference llm local-llm ollama python vram

Summary

AI summary

Fixed ranking logic so strong partial‑offload candidates are no longer buried and penalties for light and MoE partial offloads are adjusted.

Changes in this release

Bugfix Medium

Fixes double-counting of GPU fit in final sort for strong partial-offload candidates.

Fixes double-counting of GPU fit in final sort for strong partial-offload candidates.

Source: llm_adapter@2026-06-11

Confidence: high

Bugfix Medium

Reduces aggressive penalty for light partial offload while preserving strong discount for heavy dense offload.

Reduces aggressive penalty for light partial offload while preserving strong discount for heavy dense offload.

Source: llm_adapter@2026-06-11

Confidence: high

Bugfix Medium

Applies milder penalty for MoE partial-offload when active working set can stay on GPU.

Applies milder penalty for MoE partial-offload when active working set can stay on GPU.

Source: llm_adapter@2026-06-11

Confidence: high

Full changelog

Fixed

  • Strong partial-offload candidates no longer get buried under weaker full-GPU models because the final sort no longer counts GPU fit twice.
  • Light partial offload is penalized less aggressively, while heavy dense offload still gets a strong discount.
  • MoE partial-offload scoring now gives a milder penalty when the active working set can plausibly stay on GPU.

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