# redis/langcache-embed-v1

Model from Hugging Face for sentence similarity: redis/langcache-embed-v1 · sentence transformers

## Facts

- Type: Embedding
- Task: sentence-similarity
- Framework: sentence-transformers
- License: unknown
- Source: unknown
- Hosting: unknown (no download location recorded)
- Files: 14 listed, none hosted here
- 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: availability unknown
- Full repo upstream: 1.79 GB
- Download: none recorded
- Per-file SHA-256: not available (no files hosted on Hugging Bay)
- 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: 149750
- Stars: 15
- Card completeness: 96%

## Description

External Hugging Face catalog record for redis/langcache-embed-v1. Task: sentence similarity. Library: sentence transformers. Base model: Alibaba-NLP/gte-modernbert-base. Includes 5 model-card evaluation signals. Popularity signal at import: 149,750 downloads and 15 likes.

## Model Card Facts

- Declared license: unknown
- Pipeline: sentence-similarity
- Library: sentence-transformers
- Base model: Alibaba-NLP/gte-modernbert-base
- Task categories: sentence-similarity
- Metrics: cosine_accuracy, cosine_precision, cosine_recall, cosine_f1, cosine_ap
- Paper ids: 2504.02268, 1908.10084
- Model-index entries: SentenceTransformer based on Alibaba-NLP/gte-modernbert-base
- Evaluation signals: 5 model-card eval results
- File hints: 14 upstream file samples

## Evaluation Signals

- Quora: Cosine Accuracy = 0.9 (My Binary Classification)
- Quora: Cosine F1 = 0.87 (My Binary Classification)
- Quora: Cosine Precision = 0.84 (My Binary Classification)
- Quora: Cosine Recall = 0.9 (My Binary Classification)
- Quora: Cosine Ap = 0.92 (My Binary Classification)

## Referenced Data

- Paper: 2504.02268
- Paper: 1908.10084

## File Hints

- .gitattributes (1.5 KB)
- 1_Pooling/config.json (296 B)
- README.md (5.3 KB)
- config.json (1.2 KB)
- config_sentence_transformers.json (205 B)
- model.safetensors (568 MB) LFS
- modules.json (229 B)
- onnx/model.onnx (569 MB) LFS
- openvino/openvino_model.bin (568 MB) LFS
- openvino/openvino_model.xml (773 KB)
- sentence_bert_config.json (54 B)
- special_tokens_map.json (694 B)

## Quality Checklist

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

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-20T22:28:04.498Z.
- Upstream license: unknown. Mirror admission policy: permissive (owner policy; no license rights inferred).
- Model-index metadata found for SentenceTransformer based on Alibaba-NLP/gte-modernbert-base.
- Not locally hosted, mirrored, signed, or rescanned by Hugging Bay.
- 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-redis-langcache-embed-v1
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v1/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v1/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v1/distribution
- Manifest: not available until files are hosted and release checks pass.
- Request mirror: POST https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v1/mirror-request
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v1/decentralized-fallbacks