Classification Models (experimental candidates)
Unmodified copies of permissively licensed upstream ONNX exports, staged by xberg for evaluation (xberg-io/xberg#2334, #2336). Experimental candidates, not qualified: no model here is an xberg default, a supported preset or a bundling decision.
| Directory | Upstream | Upstream revision | License | Task |
|---|---|---|---|---|
nli-minilm2-l6-h768 |
cross-encoder/nli-MiniLM2-L6-H768 | b95119ce93d3e065de6214e38cd4a97b0f2f2c6d |
Apache-2.0 | zero-shot / NLI classification (3-way logits: 0 contradiction, 1 entailment, 2 neutral) |
Every directory keeps the upstream LICENSE text (LICENSE), the upstream model card (UPSTREAM_README.md), tokenizer, processor and generation configuration, and all graphs the pipeline needs. manifest.json lists the SHA-256 and size of every file and the upstream revision it was copied from. Consumers must pin this repository's commit revision (recorded in crates/xberg/src/candidate_models/) and verify the SHA-256 values; do not resolve main.
Attribution: each model remains the work of its upstream authors under the license listed above. Notes per model:
nli-minilm2-l6-h768: 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.