sentence-transformers / sentence-similarity updated 1 year ago

nli-mpnet-base-v2

Name: nli-mpnet-base-v2
Author: sentence-transformers

This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.

Params

110 M

Context

512

Downloads 30d

635 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 49 days

▲ 148 K in the last 30 days (18.9%)

915 K438 K

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Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	0.4 GB	1.0 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: MPNetModel
Parameters: 110 M
Tensor type: F32
Context length: 512
Vocabulary: 30,527
Layers / heads: 12 / 12
Licence: apache-2.0
First seen on the Hub: 2022-03-02
Training datasets: undisclosed
Added to our catalog: 2026-08-04

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