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+# Issue #4 — IPA phoneme fine-tuning status
+
+## Summary
+The current repository does not document a supported fine-tuning workflow for Piper-compatible IPA phoneme training.
+
+## Current repository state
+- The public repository is inference-focused.
+- The root README documents model loading, prompting, multilingual alignment, and generation.
+- The repository does not currently expose end-to-end training or fine-tuning scripts.
+- The codebase contains tokenization / alignment components, but there is no documented pathway here for swapping the training target to a Piper-compatible IPA phoneme representation.
+
+## What this means today
+- Fine-tuning on Piper-compatible IPA phonemes is currently undocumented in this repository.
+- The repository does not provide a supported recipe for preparing IPA labels, retraining the aligner/tokenizer stack, or adapting the model for that representation.
+
+## What would be required to support it
+A real support path would likely need:
+1. training or fine-tuning scripts
+2. data-format guidance for phoneme-aligned supervision
+3. tokenizer / aligner decisions for IPA-based inputs
+4. validation examples that show the resulting generation path still works
+
+## Practical next step
+Until training code is released, the safest statement is that IPA phoneme fine-tuning is not yet documented or supported in the public repo.