classification-models / manifest.json
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feat: stage NLI-MiniLM2 experimental candidate
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{
"note": "Experimental candidate artifacts, not qualified. Weights unmodified copies of the pinned upstream revisions; every file sha256-pinned.",
"models": {
"nli-minilm2-l6-h768": {
"upstream": "https://huggingface.co/cross-encoder/nli-MiniLM2-L6-H768",
"upstream_revision": "b95119ce93d3e065de6214e38cd4a97b0f2f2c6d",
"license": "Apache-2.0",
"task": "zero-shot / NLI classification (3-way logits: 0 contradiction, 1 entailment, 2 neutral)",
"notes": "RoBERTa-tokenizer MiniLMv2 cross-encoder; fp32 plus arm64 qint8 and avx2 quint8 dynamic quantizations as published upstream. Base model nreimers/MiniLMv2-L6-H768-distilled-from-RoBERTa-Large declares no license on its card (microsoft/unilm origin, MIT); the cross-encoder itself declares Apache-2.0.",
"status": "experimental candidate, not qualified",
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