opus-mt-fr-en-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
MarianMT fr-en translation
Runnable usage and the framework expectations directory are linked above.
Slim model
Slim fixture: opus-mt-fr-en-mic
A 4.0M-parameter fixture for the MarianMT MIC, covering Helsinki-NLP/opus-mt-fr-en. It is a test artifact, not a usable model, tagged test-artifact to keep it out of candidate-model search.
- Fixture key
49fa7f6e6e14. It covers every checkpoint whose processor files are byte-identical and whose config matches after shrinking. - Same architecture, smaller config:
MarianMTModel, shrunk by the generic rule insweep.py(encoder_layers 2, decoder_layers 2). - Processor files copied byte for byte from
Helsinki-NLP/opus-mt-fr-en:generation_config.json,source.spm,target.spm,tokenizer_config.json,vocab.json. - Overfit to the contract's training step (100 steps). Random weights failed the input-sensitivity gate:
input_ids:reversemoved the logits by only 0.00092 (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
Helsinki-NLP/opus-mt-fr-enloads 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 opus-mt-fr-en-mic.
- Downloads last month
- 298
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support
Model tree for huggingface-mic/opus-mt-fr-en-mic
Base model
Helsinki-NLP/opus-mt-fr-en