GT
GTE-Large
Embedding modelGegeral Text Embeddings - Large
Release date: 2023-08-07Updated: 2023-08-08 16:20:53.274786
Parameters
330M
Context length
512
Chinese support
Not supported
Reasoning ability
Gegeral Text Embeddings - Large is an AI model published by Alibaba, released on 2023-08-07, for Embedding model, with 330M parameters, and 512 context length, requiring about 670MB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
GTE-Large
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
512 tokens
Max output length
No data
Model type
Embedding model
Modality (in / out)
Text → Embedding
Release date
2023-08-07
Model file size
670MB
MoE architecture
No
Total params / Active params
330M / N/A
Knowledge cutoff
No data
GTE-Large
Open source & experience
Code license
Weights license
MIT License- Commercial use permitted
GitHub repo
GitHub link unavailable
Hugging Face
Live demo
No live demo
GTE-Large
Official resources
Paper
DataLearnerAI blog
No blog post yet
GTE-Large
API details
API speed
No data
No public API pricing yet.
GTE-Large
Benchmark Results
No benchmark data to show.
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GTE-Large
Publisher
Alibaba
View publisher details Gegeral Text Embeddings - Large
Model Overview
Gegeral Text Embeddings - Large is an AI model published by Alibaba, released on 2023-08-07, for Embedding model, with 330M parameters, and 512 context length, requiring about 670MB storage.
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