Model: mradermacher/Heart-RAG-Embedder-GGUF
Author: mradermacher
Pipeline: feature-extraction
Library: transformers
Tags: transformers, gguf, sentence-transformers, feature-extraction, sentence-similarity, en, dataset:s2orc, dataset:flax-sentence-embeddings/stackexchange_xml, dataset:ms_marco, dataset:gooaq, dataset:yahoo_answers_topics, dataset:code_search_net, dataset:search_qa, dataset:eli5, dataset:snli, dataset:multi_nli, dataset:wikihow, dataset:natural_questions, dataset:trivia_qa, dataset:embedding-data/sentence-compression, dataset:embedding-data/flickr30k-captions, dataset:embedding-data/altlex, dataset:embedding-data/simple-wiki, dataset:embedding-data/QQP, dataset:embedding-data/SPECTER, dataset:embedding-data/PAQ_pairs, dataset:embedding-data/WikiAnswers, base_model:Sidd2005/Heart-RAG-Embedder, base_model:quantized:Sidd2005/Heart-RAG-Embedder, license:apache-2.0, endpoints_compatible, region:us
Base models (quantized): id: Sidd2005/Heart-RAG-Embedder
Card metadata: base_model: Sidd2005/Heart-RAG-Embedder
datasets: s2orc, flax-sentence-embeddings/stackexchange_xml, ms_marco, gooaq, yahoo_answers_topics, code_search_net, search_qa, eli5, snli, multi_nli, wikihow, natural_questions, trivia_qa, embedding-data/sentence-compression, embedding-data/flickr30k-captions, embedding-data/altlex, embedding-data/simple-wiki, embedding-data/QQP, embedding-data/SPECTER, embedding-data/PAQ_pairs, embedding-data/WikiAnswers
language: en
library_name: transformers
license: apache-2.0
mradermacher: readme_rev: 1
quantized_by: mradermacher
tags: sentence-transformers, feature-extraction, sentence-similarity, transformers
Likes: 0 | All-time downloads: 274
Created: 2025-12-06 20:28:07