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m3e-Base

Embedding modelm3e

Moka Massive Mixed Embedding - Base

Release date: 2023-06-07Updated: 2023-08-08 17:29:35.860427
Parameters
110M
Context length
512
Chinese support
Supported
Reasoning ability

Moka Massive Mixed Embedding - Base is an AI model published by Moka-AI, released on 2023-06-07, for Embedding model, with 110M parameters, and 512 context length, requiring about 409MB 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-Base

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
409MB
MoE architecture
No
Total params / Active params
110M / N/A
Knowledge cutoff
No data
m3e-Base

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-Base

Official resources

DataLearnerAI blog
No blog post yet
m3e-Base

API details

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

Benchmark Results

No benchmark data to show.

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m3e-Base

Publisher

Moka Massive Mixed Embedding - Base

Model Overview

Moka Massive Mixed Embedding - Base is an AI model published by Moka-AI, released on 2023-06-07, for Embedding model, with 110M parameters, and 512 context length, requiring about 409MB storage, under the 开源不可商用 license.

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