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v0.6.16

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@slrelease slrelease released this 07 Jul 03:36
  • chore(main): release 0.6.16
  • fix(adapters): honor caller instruction in use_model_encode without a template
  • feat(adapters): use_model_encode — delegate to checkpoint-native encode()
  • Revert "feat(adapters): opt-in template_as_prompt for ST prompt-length-aware templates"
  • Revert "fix(models): serve NV-Embed-v2 via its native latent-attention ST path"
  • fix(models): serve NV-Embed-v2 via its native latent-attention ST path
  • feat(adapters): opt-in template_as_prompt for ST prompt-length-aware templates
  • chore(models): remove Qwen3-0.6B experimental custom LoRA profile
  • test(keda): cover gpu-agnostic kind smoke demand
  • docs(gateway): clarify legacy empty demand comments
  • fix(adapters): harden splade flash gate + add flash-vs-native parity test
  • fix(gateway): normalize explicit GPU demand labels
  • fix(gateway): fan out gpu-agnostic demand across pool profiles for scale-from-zero
  • fix(bundles): pin flash-attn-4 prerelease so sglang 0.5.10.post1 resolves
  • fix(helm): wake a deterministic owner lane on gpu-agnostic demand for multi-profile bundles
  • fix(colbert): GTE muvera also at simhash 6 - CMedQA/MMarco evals OOM at dim 81920
  • fix(colbert): mxbai muvera at simhash 6 (FDE dim 20480) - runner dies at 81920
  • fix(colbert): retune GTE/mxbai muvera for the Dense-projected representation
  • fix(colbert): serve pylate Dense chains and align fallback with flash
  • fix(models): restore e5 templates on multilingual-e5-large ST profile
  • fix(colbert_modernbert_flash): faithful ModernBERT forward + hardened 1_Dense loading
  • test: cover candle warm model residency
  • fix: align candle workers with catalog lane config
  • refactor(server): dedup flash mean-pooling into _flash_pack
  • fix(colbert_modernbert_flash): address CodeRabbit review on #1591
  • fix(colbert_modernbert_flash): only apply Dense head when out_features==token_dim
  • fix(colbert_modernbert_flash): apply trained ColBERT Dense projection
  • Revert "feat(models): onboard topk-io/Iso-ModernColBERT (ColBERT multivector)"
  • fix(colbert_modernbert_flash): tolerate transformers>=5 tokenizer_class
  • feat(models): onboard topk-io/Iso-ModernColBERT (ColBERT multivector)