datasocietyco / sentence-similarity updated 1 year ago

bge-base-en-v1.5-course-recommender-v5

Name: bge-base-en-v1.5-course-recommender-v5
Author: datasocietyco

This is a sentence-transformers model finetuned from BAAI/bge-base-en-v1.5. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

Params

110 M

Context

512

Downloads 30d

1.8 M

Likes

Licence: unknown Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.8 M779 K

Jul 28Jul 31Aug 3Aug 6

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: BertModel
Parameters: 110 M
Tensor type: F32
Context length: 512
Vocabulary: 30,522
Layers / heads: 12 / 12
First seen on the Hub: 2025-01-09
Base model: bge-base-en-v1.5
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Base bge-base-en-v1.5 BAAI 10.0 M

Compare with

all-MiniLM-L6-v2 257.8 M paraphrase-multilingual-MiniLM-L12-v2 59.4 M bge-m3 35.0 M all-mpnet-base-v2 25.2 M nomic-embed-text-v1.5 15.7 M multilingual-e5-small 15.6 M

Appears in

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