What is the context window of BGE Reranker v2 M3 by DigitalOcean?

BGE Reranker v2 M3 by DigitalOcean has a context window of 8K tokens. It supports up to 8K input tokens and can generate up to 1 output tokens.

What input and output types does BGE Reranker v2 M3 support?

BGE Reranker v2 M3 by DigitalOcean accepts text as input and can generate text as output.

Is BGE Reranker v2 M3 by DigitalOcean open source?

Yes, BGE Reranker v2 M3 by DigitalOcean has open weights, meaning the model weights are publicly available for download and self-hosting.

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BGE Reranker v2 M3 API

DigitalOcean

About

BGE Reranker v2 M3 is a high-performance LLM available via the DigitalOcean API, ideal for scalable text generation and natural language processing. This model delivers cost-effective pricing at $0.01/1M input and Free/1M output tokens, open weights architecture. Access BGE Reranker v2 M3 via the DigitalOcean API with up to 1 output tokens.

Capabilities

Input Modalities

text

Output Modalities

text

Reasoning

Structured Output

Tool Use

WeightsOpen

Temperature

Fixed

Attachment

Not Supported

Limits

Context Window

Tokens

Input Limit

Tokens

Max Output

Tokens

Pricing

Standard (per 1M tokens)

Input

$0.01

Output

Free

Frequently Asked Questions

BGE Reranker v2 M3 by DigitalOcean costs $0.01 per 1M input tokens and Free per 1M output tokens.

Model Details

bge-reranker-v2-m3

Provider

DigitalOcean

Family

bge

Release Date

Mar 12, 2024

Knowledge Cutoff

N/A

API Integration

NPM Package

@ai-sdk/openai-compatible

Environment Variables

DIGITALOCEAN_ACCESS_TOKEN

API Base URL

https://inference.do-ai.run/v1

Documentation