Anonymous234/Cypher-RI
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:May 14, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Cypher-RI by Anonymous234 is a 7.6 billion parameter language model with a 32,768 token context length. This model is designed for general language understanding and generation tasks, offering a balance between performance and efficiency. Its architecture supports a wide range of applications requiring robust text processing capabilities.
Loading preview...
Anonymous234/Cypher-RI: A 7.6B Parameter Language Model
Cypher-RI is a 7.6 billion parameter language model developed by Anonymous234, featuring a substantial context window of 32,768 tokens. This model is engineered to handle diverse natural language processing tasks, providing a solid foundation for applications requiring significant text comprehension and generation.
Key Capabilities
- General Language Understanding: Proficient in interpreting and processing complex textual information.
- Text Generation: Capable of producing coherent and contextually relevant text across various styles and formats.
- Extended Context Window: The 32,768 token context length allows for processing and understanding longer documents and conversations, reducing the need for frequent summarization or truncation.
Good For
- Content Creation: Generating articles, summaries, creative writing, and other forms of textual content.
- Conversational AI: Developing chatbots and virtual assistants that can maintain context over extended interactions.
- Data Analysis: Extracting insights and patterns from large volumes of text data.
- Prototyping: A versatile base model for various NLP research and development projects.