krisis - v0.2.6

Krisis v0.2.6

This release hardens the experimental Hugging Face Transformers backend and clarifies its supported model scope.

What Changed

• Added explicit support boundaries for the Hugging Face backend:

  • TransformersBackend supports causal text-generation models only.
  • Models must be loadable with AutoModelForCausalLM.
  • Classifier, embedding, masked-language, seq2seq, and multimodal-only models now raise a clear UnsupportedTransformersModelError.

• Improved experimental Hugging Face runtime behavior:

  • Malformed single-row model outputs no longer crash the full benchmark.
  • Krisis now warns, preserves the raw response, marks the row as abstained, and continues the run.
  • Added better Gemma/MedGemma-style prompt compatibility by folding system instructions into user messages when needed.
  • Added generation pad_token_id fallback.

• Added Hugging Face gated-model support:

  • hf_token can be passed directly.
  • HF_TOKEN is used automatically when available.

• Hardened CKD feature engineering:

  • eGFR computation now clamps non-physiologic imputed creatinine/age values before applying the CKD-EPI equation.
  • Prevents complex-number failures during suite.load().

• Updated documentation:

  • README and MkDocs now explicitly describe the Hugging Face backend as experimental.
  • Documentation now states that only causal text-generation models are supported.

Install

pip install -U "krisis[hf]==0.2.6"