Model: leliuga/all-MiniLM-L6-v2-GGUF
Author: leliuga
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, gguf, bert, feature-extraction, sentence-similarity, transformers, 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:sentence-transformers/all-MiniLM-L6-v2, base_model:quantized:sentence-transformers/all-MiniLM-L6-v2, license:apache-2.0, region:us
Base models (quantized): id: sentence-transformers/all-MiniLM-L6-v2
Card metadata: base_model: sentence-transformers/all-MiniLM-L6-v2
license: apache-2.0
inference: no
model_creator: Sentence Transformers
model_name: all-MiniLM-L6-v2
quantized_by: Leliuga
pipeline_tag: sentence-similarity
tags: bert, sentence-transformers, feature-extraction, sentence-similarity, transformers, gguf
language: en
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
Likes: 7 | All-time downloads: 19853
Created: 2024-03-15 12:02:17