README.md

metadata

tags:
  - mic
  - test-artifact
base_model: facebook/convnext-tiny-224

convnext-tiny-224-mic

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

• Contract manifest
• Transformers usage
• Transformers expectations
• Fixture provenance
• How the fixture was shrunk

Contract

ConvNeXT image classification

Runnable usage and the framework expectations directory are linked above.

Slim model

Slim fixture: convnext-tiny-224-mic

A 0.4M-parameter fixture for the ConvNext MIC, covering facebook/convnext-tiny-224. It is a test artifact, not a usable model, tagged test-artifact to keep it out of candidate-model search.

• Fixture key 6bd814728257. It covers every checkpoint whose processor files are byte-identical and whose config matches after shrinking.
• Same architecture, smaller config: ConvNextForImageClassification, shrunk by the generic rule in sweep.py ().
• Processor files copied byte for byte from facebook/convnext-tiny-224: preprocessor_config.json.
• Random weights (seed 17). They passed the input-sensitivity gate: every perturbation of the contract's inputs moved the logits by at least 0.001 (weakest: pixel_values:reverse, 0.0726), so no training was needed.
• Same tensor names as the real checkpoint. The real checkpoint has every parameter, and so does the fixture.
• Saved in float32, the dtype facebook/convnext-tiny-224 loads in by default.
• 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. This repository includes the slim weights, usage and framework expectations; rebuild the other files with python example/build_fixtures.py --fixture convnext-tiny-224-mic.