M3
Moka Massive Mixed Embedding-Large
Release date: 2023-06-07Updated: 2023-08-08Views: 409
Parameters
340M
Context length
512
Multilingual
Supported
Reasoning ability
No data
Moka Massive Mixed Embedding-Large is an AI model published by Moka-AI, released on 2023-06-07, for Embedding model, with 340M parameters, and 512 context length, requiring about 1.3 storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
m3e-Large
Model basics
Reasoning traces
No data
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
2023-06-07
Model file size
1.3
MoE architecture
No
Total params / Active params
340M / Not applicable
Knowledge cutoff
No data
m3e-Large
Open source & experience
Code license
Open source, non-commercial
Weights license
Open source, non-commercial
GitHub repo
Hugging Face
Live demo
N/A
m3e-Large
Official resources
Paper
DataLearnerAI blog
N/A
m3e-Large
API details
API speed
No data
No public API pricing yet.
m3e-Large
Publisher
Moka-AI
View publisher details Moka Massive Mixed Embedding-Large
Model Overview
Moka Massive Mixed Embedding-Large is an AI model published by Moka-AI, released on 2023-06-07, for Embedding model, with 340M parameters, and 512 context length, requiring about 1.3 storage.
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