cstr/gte-modernbert-base-GGUF

gte-modernbert-base GGUF

GGUF format of Alibaba-NLP/gte-modernbert-base for use with CrispEmbed.

Alibaba GTE ModernBERT Base. General-purpose English text embedding model with long context support (8,192 tokens). Strong MTEB performance (64.38) and long-document retrieval (LoCo 88.88).

Model details

• —Architecture: ModernBERT encoder-only transformer (149M params)
• —Embedding dimension: 768
• —Languages: English
• —Context length: 8,192 tokens
• —MTEB score: 64.38
• —License: Apache 2.0

Files

Quick Start

See CrispEmbed for full documentation and CrispASR for speech-to-text.

Provenance and EU AI Act Art. 53 note

• —Upstream model: Alibaba-NLP/gte-modernbert-base — published by Alibaba-NLP.
• —Upstream licence: apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
• —What was done here: format conversion and/or quantisation only (GGUF/GGML). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
• —Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
• —Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.