---
tags:
  - mic
  - test-artifact
base_model: google/vit-base-patch16-224
---

# vit-mic

Slim model weights, executable usage and framework expectations in one repository.

- [Contract manifest](integration.json)
- [Transformers usage](integrations/transformers/usage.md)
- [Transformers expectations](integrations/transformers/expectations)
- [Fixture provenance](build.json)
- [How the fixture was shrunk](https://huggingface-mic-mic-coverage.static.hf.space/shrink/vit-mic.html)

## Contract

### vit model integration contract

Public Transformers usage validated on a slim fixture on an NVIDIA A10G,
with default, eager and bfloat16 variants and fresh-process baseline recording.
This prototype declares fixture-only targets; full checkpoint coverage is separate.

[Regeneration evidence](https://github.com/huggingface/transformers-mic/actions/runs/38252430459).

## Slim model

### Slim fixture: mic-vit-slim

A 0.2M-parameter fixture for the [vit MIC](https://huggingface.co/huggingface-mic/vit-mic), 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/transformers-mic/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/transformers-mic/blob/main/example/build_fixtures.py); [`build.json`](build.json) records the pinned sources, gate results, and file hashes. This repository includes the slim weights, usage and framework expectations; rebuild the other files with `python example/build_fixtures.py --fixture mic-vit-slim`.