tarekziade HF Staff
Consolidate MIC usage, slim weights and reviewed framework expectations
8033673 verified | tags: | |
| - mic | |
| - test-artifact | |
| base_model: google/vit-base-patch16-224 | |
| # Slim fixture: mic-vit-slim | |
| A 0.2M-parameter fixture for the [vit MIC](https://huggingface.co/hf-internal-testing/vit-integration), covering [`google/vit-base-patch16-224`](https://huggingface.co/google/vit-base-patch16-224). It is a test artifact, not a usable model, tagged `test-artifact` to keep it out of candidate-model search. | |
| - **Fixture key `3fc8366aafe8`.** It covers every checkpoint whose processor files are byte-identical and whose config matches after shrinking. | |
| - **Same architecture, smaller config:** `ViTForImageClassification`, shrunk by the generic rule in [`sweep.py`](https://github.com/huggingface/model-integration-contracts/blob/main/experiments/sweep.py) (num_hidden_layers 2). | |
| - **Processor files copied byte for byte** from `google/vit-base-patch16-224`: `preprocessor_config.json`. | |
| - **Overfit to the contract's training step** (300 steps). Random weights failed the input-sensitivity gate: `pixel_values:reverse` moved the logits by only 5.9e-05 (threshold 0.001). | |
| - **Same tensor names as the real checkpoint.** The real checkpoint has every parameter, and so does the fixture. | |
| - **Saved in float32**, the dtype `google/vit-base-patch16-224` loads in by default. | |
| - **Finite in float32, bfloat16, and float16** (forward, loss, gradients). | |
| Built by [`build_fixtures.py`](https://github.com/huggingface/model-integration-contracts/blob/main/example/build_fixtures.py); [`build.json`](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 mic-vit-slim`. | |