ZiyuG/ATLAS
VISIONPricing:Input $0.4 / Output $0.8Concurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:32kPublished:Jun 3, 2026Architecture:Transformer Featherless Exclusive Cold
ATLAS is a 7 billion parameter language model developed by ZiyuG, featuring a 32,768 token context window. This model is designed for general-purpose language understanding and generation tasks, offering a balance between performance and computational efficiency. Its large context window makes it suitable for applications requiring extensive textual analysis and coherent long-form content creation.
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ATLAS 7B: General-Purpose Language Model
ATLAS is a 7 billion parameter language model developed by ZiyuG, designed for a broad range of natural language processing tasks. With a substantial context window of 32,768 tokens, it is well-suited for processing and generating extensive textual content.
Key Capabilities
- General Language Understanding: Proficient in comprehending complex instructions and diverse text formats.
- Long Context Processing: Handles inputs up to 32,768 tokens, enabling detailed analysis of long documents or conversations.
- Text Generation: Capable of producing coherent and contextually relevant long-form content.
Good for
- Summarization of lengthy documents: Its large context window allows for effective summarization of books, articles, and reports.
- Advanced chatbots and conversational AI: Maintaining context over extended dialogues.
- Content creation: Generating detailed articles, stories, or technical documentation.