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m3e-Large

Embedding modelm3e

Moka Massive Mixed Embedding-Large

Release date: 2023-06-07Updated: 2023-08-08 17:29:44.455403
Parameters
340M
Context length
512
Chinese support
Supported
Reasoning ability

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, under the 开源不可商用 license.

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
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
2023-06-07
Model file size
1.3
MoE architecture
No
Total params / Active params
340M / N/A
Knowledge cutoff
No data
m3e-Large

Open source & experience

Code license
开源不可商用
Weights license
开源不可商用- Non-commercial only
Live demo
No live demo
m3e-Large

Official resources

DataLearnerAI blog
No blog post yet
m3e-Large

API details

API speed
No data
No public API pricing yet.
m3e-Large

Benchmark Results

No benchmark data to show.

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m3e-Large

Publisher

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, under the 开源不可商用 license.

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