bkai-foundation-models / sentence-similarity updated 2 years ago

vietnamese-bi-encoder

Name: vietnamese-bi-encoder
Author: bkai-foundation-models

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

130 M

Context

256

Downloads 30d

454 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 56 days

▲ 30 K in the last 30 days (6.1%)

501 K440 K

Jul 28Aug 15Sep 3Sep 21

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	0.5 GB	1.1 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: RobertaModel
Parameters: 130 M
Tensor type: F32
Context length: 256
Vocabulary: 64,001
Layers / heads: 12 / 12
Licence: apache-2.0
First seen on the Hub: 2023-09-09
Training datasets: undisclosed
Added to our catalog: 2026-07-28

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