DedeProGames/orion-embedding

DedeProGames/ orion-embedding

25 Downloads Updated 3 weeks ago

Orion Embedding offers a good, comprehensive range of text embedding templates in 2 sizes.

embedding 22m 4b

ollama pull DedeProGames/orion-embedding:22m

curl http://localhost:11434/api/embed \
  -d '{
    "model": "DedeProGames/orion-embedding:22m",
    "input": "Why is the sky blue?"
  }'

import ollama

response = ollama.embed(
    model='DedeProGames/orion-embedding:22m',
    input='The sky is blue because of Rayleigh scattering',
)
print(response.embeddings)

import ollama from 'ollama'

const response = await ollama.embed({
  model: 'DedeProGames/orion-embedding:22m',
  input: 'The sky is blue because of Rayleigh scattering',
})
console.log(response.embeddings)

Models

View all →

Name

2 models

Size

Context

Input

orion-embedding:22m

46MB · 512 context window · Text · 3 weeks ago

orion-embedding:22m

46MB

512

Text

orion-embedding:4b

2.5GB · 40K context window · Text · 3 weeks ago

orion-embedding:4b

2.5GB

40K

Text

Readme

Highlights

The Orion Embedding series of models was designed specifically for text embedding tasks. Based on the dense open-source models, it offers a comprehensive range of text embedding models in 2 sizes (22M and 4B). This series inherits the exceptional multilingual capabilities, long-text comprehension, and reasoning skills of its foundational model.