docs/source-cards/fixture.md

metadata

tags:
  - mic
  - test-artifact
base_model: openai/whisper-tiny

Slim fixture: proto-whisper-tiny-slim

A 3.6M-parameter fixture for the Whisper MIC, covering openai/whisper-tiny. It is a test artifact, not a usable model, tagged test-artifact to keep it out of candidate-model search.

• Fixture key 71360928908b. It covers every checkpoint whose processor files are byte-identical and whose config matches after shrinking.
• Same architecture, smaller config: WhisperForConditionalGeneration, shrunk by the generic rule in sweep.py (encoder_layers 2, decoder_layers 2).
• Processor files copied byte for byte from openai/whisper-tiny: added_tokens.json, generation_config.json, merges.txt, normalizer.json, preprocessor_config.json, special_tokens_map.json, tokenizer.json, tokenizer_config.json, vocab.json.
• Overfit to the contract's training step (200 steps). Random weights failed the input-sensitivity gate: input_features:reverse moved the logits by only 8.6e-05 (threshold 0.001).
• Same tensor names as the real checkpoint. The real checkpoint has every parameter, and so does the fixture.
• Finite in float32, bfloat16, and float16 (forward, loss, gradients).

Built by build_fixtures.py; build.json records the pinned sources, gate results, and file hashes. The source repository commits only README.md and build.json; rebuild the other files with python example/build_fixtures.py --fixture proto-whisper-tiny-slim.