intfloat/multilingual-e5-small

Hugging Bay has listed intfloat/multilingual-e5-small, a 470 MB multilingual embedding model from intfloat, as part of its compact resilience fallback for high-demand AI artifacts. The model, licensed under MIT, is designed for search and retrieval workflows and can run on CPU, Apple Silicon, or small consumer GPUs, but currently has no hosted files or reviews, with a pending security scan.

intfloat/multilingual-e5-small intfloat/multilingual-e5-small: Small multilingual E5 embedding model for search and retrieval workflows. License: mit. external huggingface metadata. Scan: pending. - License - mit - Size - 470.0 MB - 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 - intfloat/multilingual-e5-small - Declared license - mit - Pipeline - feature-extraction - Library - SentenceTransformers - Task categories - feature-extraction About this artifact intfloat/multilingual-e5-small 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-intfloat-multilingual-e5-small/download-plan - Trust bundle Trust-bundle JSON /api/trust-bundles/hf-model-intfloat-multilingual-e5-small - Review summary Review-summary JSON /api/artifacts/hf-model-intfloat-multilingual-e5-small/review-summary - Distribution Reviewed peer-fallback JSON /api/artifacts/hf-model-intfloat-multilingual-e5-small/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 - 470.0 MB - Suggested runners - Transformers - Runtime files - 0 - Local kit Local run kit /local-kit/hf-model-intfloat-multilingual-e5-small Run-fit warnings: No runtime weight file is indexed yet.; Hugging Bay is showing metadata only until reviewed hosted files exist. - License: pass - mit - Provenance: pass - intfloat/multilingual-e5-small - 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-intfloat-multilingual-e5-small