# Wasserstoff-AI/Legal-Embed-intfloat-multilingual-e5-large-instruct

Model from Hugging Face for sentence similarity: Wasserstoff-AI/Legal-Embed-intfloat-multilingual-e5-large-instruct · sentence transformers

## Facts

- Type: Embedding
- Task: sentence-similarity
- Framework: sentence-transformers
- License: apache-2.0 — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/Wasserstoff-AI/Legal-Embed-intfloat-multilingual-e5-large-instruct
- Hosting: hosted (8 files)
- Files: 8 hosted of 20 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: 8 files, 2.26 GB
- Full repo upstream: 2.26 GB
- Recommended file: 2.24 GB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-wasserstoff-ai-legal-embed-intfloat-multilingual-e5-large-instruct/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-wasserstoff-ai-legal-embed-intfloat-multilingual-e5-large-instruct/download-plan)
- Per-file SHA-256: available for 8 of 8 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-wasserstoff-ai-legal-embed-intfloat-multilingual-e5-large-instruct/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 100
- Stars: 1
- Card completeness: 96%

## Description

External Hugging Face catalog record for Wasserstoff-AI/Legal-Embed-intfloat-multilingual-e5-large-instruct. Task: sentence similarity. Library: sentence transformers. Languages: en. Base model: intfloat/multilingual-e5-large-instruct. Includes 12 model-card evaluation signals. Popularity signal at import: 100 downloads and 1 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: sentence-similarity
- Library: sentence-transformers
- Base model: intfloat/multilingual-e5-large-instruct
- Task categories: sentence-similarity
- Languages: en
- Metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10
- Paper ids: 1908.10084, 2205.13147, 1705.00652
- Model-index entries: BGE base Financial Matryoshka
- Evaluation signals: 12 model-card eval results
- File hints: 16 upstream file samples

## Evaluation Signals

- dim 1024: Cosine Accuracy@1 = 0.4444444444444444 (Information Retrieval)
- dim 1024: Cosine Accuracy@3 = 0.6481481481481481 (Information Retrieval)
- dim 1024: Cosine Accuracy@5 = 0.7654320987654321 (Information Retrieval)
- dim 1024: Cosine Accuracy@10 = 0.8580246913580247 (Information Retrieval)
- dim 1024: Cosine Precision@1 = 0.4444444444444444 (Information Retrieval)
- dim 1024: Cosine Precision@3 = 0.21604938271604937 (Information Retrieval)
- dim 1024: Cosine Precision@5 = 0.1530864197530864 (Information Retrieval)
- dim 1024: Cosine Precision@10 = 0.08580246913580246 (Information Retrieval)
- dim 768: Cosine Accuracy@1 = 0.4382716049382716 (Information Retrieval)
- dim 768: Cosine Accuracy@3 = 0.6790123456790124 (Information Retrieval)

## Referenced Data

- Paper: 1908.10084
- Paper: 2205.13147
- Paper: 1705.00652

## File Hints

- .gitattributes (1.5 KB)
- 1_Pooling/config.json (297 B)
- README.md (50 KB)
- config.json (663 B)
- config_sentence_transformers.json (205 B)
- eval/Information-Retrieval_evaluation_dim_1024_results.csv (2.0 KB)
- eval/Information-Retrieval_evaluation_dim_128_results.csv (2.0 KB)
- eval/Information-Retrieval_evaluation_dim_256_results.csv (2.0 KB)
- eval/Information-Retrieval_evaluation_dim_512_results.csv (2.0 KB)
- eval/Information-Retrieval_evaluation_dim_64_results.csv (1.7 KB)
- eval/Information-Retrieval_evaluation_dim_768_results.csv (1.9 KB)
- model.safetensors (2.1 GB) LFS

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-24T01:12:03.793Z.
- Open license detected as apache-2.0.
- Model-index metadata found for BGE base Financial Matryoshka.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-wasserstoff-ai-legal-embed-intfloat-multilingual-e5-large-instruct
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-wasserstoff-ai-legal-embed-intfloat-multilingual-e5-large-instruct/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-wasserstoff-ai-legal-embed-intfloat-multilingual-e5-large-instruct/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-wasserstoff-ai-legal-embed-intfloat-multilingual-e5-large-instruct/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-wasserstoff-ai-legal-embed-intfloat-multilingual-e5-large-instruct
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-wasserstoff-ai-legal-embed-intfloat-multilingual-e5-large-instruct/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-wasserstoff-ai-legal-embed-intfloat-multilingual-e5-large-instruct&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-wasserstoff-ai-legal-embed-intfloat-multilingual-e5-large-instruct/decentralized-fallbacks