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SophNet

by axdlee · v0.0.5

SophNet provides full-blood DeepSeek R1/V3, Qwen, QwQ models, and its own DeepSeek V3 Fast model, as well as text-to-speech, image OCR, document parsing, and other models.

2.0k installsUpdated Nov 3, 2025
Documentation
Publisher information is incomplete

This community listing does not yet include every recommended support, privacy, pricing, and permission disclosure. Review the available package permissions before installing.

Capabilities

Models

Available inside your emploidai workspace after installation.

Data sources

Available inside your emploidai workspace after installation.

Category

model

Version

0.0.5axdlee

Requirements

Maximum memory 256MB

Pricing

Not disclosed by publisher

Security & access

Review before installing

CompatibleRequires emploidai 1.0.0+

Permissions

  • Uses model capability
  • Uses tool capability

Dependencies

No additional dependencies

Resources

DocumentationPrivacy policy
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Sophnet

SophNet provides full-blood DeepSeek R1/V3, Qwen, QwQ models, and its own DeepSeek V3 Fast model, as well as text-to-speech, speech-to-text, text embedding, image OCR, document parsing, and other models.

Configure

After installing the plugin, configure your Sophnet settings in the Model Provider section. This includes your API key (find it here) and Project ID. Save to use Sophnet. CONFIG CONFIG DONE

Features

Large Language Models (LLM)

  • Full access to DeepSeek R1/V3, Qwen, QwQ models
  • Customizable parameters for each model
  • Support for both chat and completion APIs

Speech to Text

  • Convert audio files to text transcriptions
  • Support for multiple audio formats: wav, mp3, m4a, flv, mp4, wma, 3gp, amr, aac, ogg-opus, flac
  • File size limit: 1GB
  • Audio duration: up to 5 hours

Text to Speech (TTS)

  • Convert text to natural-sounding speech
  • 14 different voice options in Chinese and English
  • Adjustable parameters: volume, speech rate, pitch
  • Streaming and non-streaming API support
  • Multiple output audio formats

Text Embedding

  • Generate vector embeddings for text
  • Configurable dimensions: 1024/768/512/256/128/64
  • Optimized for semantic search and text analysis

About Sophnet

Website Sophnet Supported Models Models Sophnet API Document API

Documentation

  • See GUIDE.md for detailed usage, customization, and contribution instructions.
  • Refer to code comments and docstrings for in-line documentation.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Privacy

For information on data handling and privacy, please refer to PRIVACY.md.

Contributing

Contributions are welcome! Please read GUIDE.md for guidelines on how to get started.

Contact

For questions, issues, or feature requests, please open an issue on GitHub or contact the maintainers.