sentence-transformers / sentence-similarity updated 11 months 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

439 K

Likes

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

Download history

tracking started — chart appears after 7 days of snapshots (4 recorded)

439 K downloads in the last 30 days

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

Compare with

all-MiniLM-L6-v2 252.4 M paraphrase-multilingual-MiniLM-L12-v2 58.2 M bge-m3 34.2 M all-mpnet-base-v2 24.4 M nomic-embed-text-v1.5 15.3 M multilingual-e5-small 15.0 M

Appears in

Best open coding models Commercial-use text models Models that fit in 12 GB