Alibaba-NLP/gte-multilingual-base

Alibaba NLP released the gte-multilingual-base embedding model under the Apache-2.0 license, a 1.2 GB multilingual model for global retrieval and semantic search. The model is hosted externally on Hugging Face and is pending security review, with no hosted files or community reviews yet.

Alibaba-NLP/gte-multilingual-base Alibaba-NLP/gte-multilingual-base: Apache-2.0 multilingual GTE embedding model from Alibaba NLP for global retrieval and semantic search. License: apache-2.0. external huggingface metadata. Scan: pending. - License - apache-2.0 - Size - 1.2 GB - Demand - 500 upstream downloads - Trust - Needs review 0/100 - Trusted download - External metadata; mirror requestable - Run fit - Easy local embedding fit: CPU, Apple Silicon, or a small consumer GPU is usually enough for smoke tests - Files - 0 hosted / 1 total - Scan status - pending - Hosting status - external - Upstream - Alibaba-NLP/gte-multilingual-base - Declared license - apache-2.0 - Pipeline - sentence-similarity - Library - SentenceTransformers - Task categories - sentence-similarity About this artifact Alibaba-NLP/gte-multilingual-base is included in Hugging Bay's compact resilience fallback for high-demand open AI artifacts. Live Postgres metadata, hosted files, hashes, and reviews take precedence whenever available. Trusted download External metadata; mirror requestable. Use upstream for now or add demand for a reviewed Hugging Bay mirror. - Hosted files - 0 of 1 - Reviewed peer-assisted fallbacks - 0 - Download plan Download-plan JSON /api/artifacts/hf-model-alibaba-nlp-gte-multilingual-base/download-plan - Trust bundle Trust-bundle JSON /api/trust-bundles/hf-model-alibaba-nlp-gte-multilingual-base - Review summary Review-summary JSON /api/artifacts/hf-model-alibaba-nlp-gte-multilingual-base/review-summary - Distribution Reviewed peer-fallback JSON /api/artifacts/hf-model-alibaba-nlp-gte-multilingual-base/distribution Can I run this? Easy local embedding fit. CPU, Apple Silicon, or a small consumer GPU is usually enough for smoke tests. Start with the local kit, verify hashes, then run a small inference or embedding check before production use. - Estimated footprint - 1.2 GB - Suggested runners - Transformers - Runtime files - 0 - Local kit Local run kit /local-kit/hf-model-alibaba-nlp-gte-multilingual-base Run-fit warnings: No runtime weight file is indexed yet.; Hugging Bay is showing metadata only until reviewed hosted files exist. - License: pass - apache-2.0 - Provenance: pass - Alibaba-NLP/gte-multilingual-base - Scan: warn - pending - Hosted files: warn - external metadata only - Signed manifest: fail - not final yet - Community: warn - no reviews yet - Benchmarks: warn - no benchmark evidence Machine-readable card Open interactive artifact page / /artifact/hf-model-alibaba-nlp-gte-multilingual-base