# redis/langcache-embed-v3-experimental

Model from Hugging Face for sentence similarity: redis/langcache-embed-v3-experimental · 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/redis/langcache-embed-v3-experimental
- 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: at least 8 listed files; full count and size unknown
- Full repo upstream: 541.2 MB
- Recommended file: 298 MB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-redis-langcache-embed-v3-experimental/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v3-experimental/download-plan)
- Per-file SHA-256: available for 7 of 8 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v3-experimental/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: 57
- Stars: 6
- Card completeness: 96%

## Description

External Hugging Face catalog record for redis/langcache-embed-v3-experimental. Task: sentence similarity. Library: sentence transformers. Languages: en. Datasets referenced by card metadata: redis/langcache-sentencepairs-v2. Base model: Alibaba-NLP/gte-modernbert-base. Includes 8 model-card evaluation signals. Popularity signal at import: 251 downloads and 6 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: sentence-similarity
- Library: sentence-transformers
- Base model: Alibaba-NLP/gte-modernbert-base
- Task categories: sentence-similarity
- Languages: en
- Referenced datasets: redis/langcache-sentencepairs-v2
- Metrics: cosine_accuracy@1, cosine_precision@1, cosine_recall@1, cosine_ndcg@10, cosine_mrr@1, cosine_map@100, cosine_auc_precision_cache_hit_ratio, cosine_auc_similarity_distribution
- Paper ids: 1908.10084
- Model-index entries: Redis fine-tuned BiEncoder model for semantic caching on LangCache
- Evaluation signals: 8 model-card eval results
- File hints: 16 upstream file samples

## Evaluation Signals

- test: Cosine Accuracy@1 = 0.5955802603036876 (Custom Information Retrieval)
- test: Cosine Precision@1 = 0.5955802603036876 (Custom Information Retrieval)
- test: Cosine Recall@1 = 0.5780913232288468 (Custom Information Retrieval)
- test: Cosine Ndcg@10 = 0.777639866271746 (Custom Information Retrieval)
- test: Cosine Mrr@1 = 0.5955802603036876 (Custom Information Retrieval)
- test: Cosine Map@100 = 0.7275779687157514 (Custom Information Retrieval)
- test: Cosine Auc Precision Cache Hit Ratio = 0.3639683124583609 (Custom Information Retrieval)
- test: Cosine Auc Similarity Distribution = 0.15401896350374616 (Custom Information Retrieval)

## Referenced Data

- Dataset: redis/langcache-sentencepairs-v2
- Paper: 1908.10084

## File Hints

- .gitattributes (1.7 KB)
- 1_Pooling/config.json (312 B)
- README.md (15 KB)
- config.json (1.2 KB)
- config_sentence_transformers.json (283 B)
- eval/Information-Retrieval_evaluation_test_predictions_cosine.jsonl (125 MB) LFS
- eval/Information-Retrieval_evaluation_test_results.csv (34 KB)
- eval/Information-Retrieval_evaluation_train_predictions_cosine.jsonl (104 MB) LFS
- eval/Information-Retrieval_evaluation_train_results.csv (3.5 KB)
- eval/binary_classification_evaluation_test_results.csv (87 KB)
- eval/binary_classification_evaluation_val_results.csv (31 KB)
- final_metrics.json (296 B)

## 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 2026-09-23T07:33:02.684Z.
- Open license detected as apache-2.0.
- Model-index metadata found for Redis fine-tuned BiEncoder model for semantic caching on LangCache.
- Model card references dataset context: redis/langcache-sentencepairs-v2.
- 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-v3-experimental
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v3-experimental/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v3-experimental/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v3-experimental/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-redis-langcache-embed-v3-experimental
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v3-experimental/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-redis-langcache-embed-v3-experimental&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-redis-langcache-embed-v3-experimental/decentralized-fallbacks