Snowflake Arctic Embed L V2.0 is an advanced sentence similarity model that supports up to 90 languages and performs excellently in tasks such as text classification, retrieval, clustering, re - ranking, and semantic text similarity. Based on the MTEB benchmark test, this model has demonstrated strong performance on multiple datasets.

Natural Language ProcessingSentence-transformersMultiple Languages

SnowflakeCore-G1-Tiny2 is a custom Transformer language model based on the GPT style and is an improved version of SnowflakeCore-G1-Tiny. This model is built from scratch using PyTorch and trained on the common-pile/wikimedia_filtered dataset. It has approximately 400 million parameters, supports a 2048-token context window, and is specifically designed for text generation tasks.

Natural Language ProcessingTransformersEnglish

Sentence embedding model based on Snowflake Arctic architecture, focusing on sentence similarity calculation and feature extraction

Natural Language ProcessingSafetensors

This is a SentenceTransformer model fine-tuned from Snowflake/snowflake-arctic-embed-l-v2.0, trained on a clustering dataset. It maps sentences and paragraphs into a 1024-dimensional dense vector space, suitable for semantic text similarity and semantic search.

Natural Language ProcessingSafetensorsMultiple Languages

Snowflake Arctic-embed-l-v2.0 is the latest embedding model released by Snowflake, specifically designed for multilingual workloads, optimizing retrieval performance and inference efficiency.

Natural Language ProcessingGgufMultiple Languages

Snowflake Arctic Embed M v2.0 is a multilingual sentence embedding model focused on sentence similarity tasks, supporting over 50 languages.

Natural Language ProcessingTransformersMultiple Languages

The GGUF quantized version of Snowflake Arctic Embed L v2.0 is an efficient multilingual text embedding model, suitable for high-quality retrieval tasks.

Natural Language ProcessingGguf

Snowflake Arctic Embed v2.0 is a multilingual sentence embedding model that supports text feature extraction and sentence similarity calculation for over 100 languages.

Natural Language ProcessingTransformersMultiple Languages

Snowflake Arctic Embed M v2.0 is a multilingual sentence embedding model that supports over 50 languages, focusing on sentence similarity and feature extraction tasks.

Natural Language ProcessingTransformersMultiple Languages

Snowflake Arctic Embed M v1.5 is an efficient sentence embedding model, focusing on sentence similarity calculation and feature extraction tasks.

Natural Language ProcessingGguf

A text-to-SQL generation language model specifically designed for Postgres, Redshift, and Snowflake databases, with performance comparable to cutting-edge general-purpose models.

Natural Language ProcessingTransformersOther

Snowflake Arctic is a large language model developed by Snowflake AI Research Team, featuring a dense Mixture of Experts (MoE) architecture with 480 billion parameters, specifically designed for efficient text and code generation.

Natural Language ProcessingTransformers

Arctic is a dense Mixture of Experts (MoE) architecture large language model developed by the Snowflake AI Research team, with 480 billion parameters, open-sourced under the Apache-2.0 license.

Natural Language ProcessingTransformers

Snowflake Arctic Embed L is a model focused on sentence similarity and feature extraction, suitable for various natural language processing tasks.

Natural Language ProcessingTransformers

Snowflake Arctic Embed XS is a lightweight sentence embedding model focused on sentence similarity and feature extraction tasks.

Natural Language ProcessingTransformers

Snowflake Arctic M Long is a sentence-transformers-based sentence embedding model focused on sentence similarity and feature extraction tasks.

Natural Language ProcessingTransformers

Snowflake Arctic Embed M is a sentence transformer model focused on sentence similarity tasks, capable of efficiently extracting text features and calculating similarity between sentences.

Natural Language ProcessingTransformers