nli-MiniLM2-L6-H768

cross-encoder/nli-MiniLM2-L6-H768

Zero-Shot Classification82.1M parameterssentence-transformersLicense: apache-2.0
Tracked by OpenModelStats since August 31, 2026View on Hugging Face ↗
Downloads 30D
259.5K
Total downloads
2.2M
Gained 7D
+40.8K(increase)
2.1%(up) vs baseline
Gained 30D
—
Likes
14
+0 in 7D
Rank · tracked models
#1,388
147(up 147 places)this week
Parameters
82.1M
Last source update
Apr 15, 2025
Momentum
66.3
  • nli-MiniLM2-L6-H768 gained 40.8K downloads during the last seven tracked days.

Downloads over time

Daily gain between consecutive observations

Likes over time

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Overview

nli-MiniLM2-L6-H768 is a zero-shot classification model published by cross-encoder. OpenModelStats has tracked the model since Aug 31, 2026, most recently observing it Sep 30, 2026.

Published
Mar 2, 2022
Last updated
Apr 15, 2025
Library
sentence-transformers
License
apache-2.0
Task
Zero-Shot Classification
Parameters
82,121,221
Spaces
—
Derivative models
4
Velocity 7D/day
5,826
sentence-transformerspytorchonnxsafetensorsopenvinorobertatext-classificationtransformerszero-shot-classificationendataset:nyu-mll/multi_nlidataset:stanfordnlp/snli

Publisher

cross-encoderView publisher statistics →

Derived from nreimers/MiniLMv2-L6-H768-distilled-from-RoBERTa-Large (reported by the source; parent not yet tracked).

Model family

Based on base-model relationships reported by the source's metadata.

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cross-encoder/nli-MiniLM2-L6-H768 — Downloads, Growth & Stats | OpenModelStats