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metadata
tags:
- mic
- test-artifact
base_model: microsoft/phi-2
phi-2-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
Phi-2 causal LM
Runnable usage and the framework expectations directory are linked above.
Slim model
Slim fixture: phi-2-mic
A 6.7M-parameter fixture for the Phi2 MIC, covering microsoft/phi-2. It is a test artifact, not a usable model, tagged test-artifact to keep it out of candidate-model search.
- Fixture key
97b6a16aa567. It covers every checkpoint whose processor files are byte-identical and whose config matches after shrinking. - Same architecture, smaller config:
PhiForCausalLM, shrunk by the generic rule insweep.py(num_hidden_layers 2). - Processor files copied byte for byte from
microsoft/phi-2:CODE_OF_CONDUCT.md,LICENSE,NOTICE.md,SECURITY.md,added_tokens.json,data_summary_card.md,generation_config.json,merges.txt,special_tokens_map.json,tokenizer.json,tokenizer_config.json,vocab.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:
attention_mask:all_ones, 0.838), 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 float16, the dtype
microsoft/phi-2loads 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 phi-2-mic.