RoseG/NG-v1.02
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Oct 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Warm
RoseG/NG-v1.02 is a 9-billion parameter language model developed by RoseG, based on the TRiADAi/NonGhastly architecture. It supports a context length of 32768 tokens, making it suitable for processing extensive inputs and generating detailed responses. This model is designed for general-purpose language understanding and generation tasks, leveraging its large context window for improved coherence and factual recall.
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RoseG/NG-v1.02 Overview
RoseG/NG-v1.02 is a 9-billion parameter language model built upon the TRiADAi/NonGhastly base architecture. This model is designed for robust performance across a variety of natural language processing tasks, emphasizing its capability to handle substantial input lengths.
Key Capabilities
- Extended Context Window: Features a 32768-token context length, enabling the processing of long documents, complex conversations, and detailed prompts without losing coherence.
- General-Purpose Language Understanding: Capable of understanding and generating human-like text for a broad spectrum of applications.
- Foundation Model: Serves as a strong base for further fine-tuning on specific downstream tasks, benefiting from its large parameter count and context handling.
Good For
- Applications requiring long-form text processing: Ideal for summarization of lengthy articles, detailed content generation, and maintaining context over extended dialogues.
- Research and development: Provides a powerful base model for exploring advanced NLP techniques and building specialized AI agents.
- Tasks benefiting from broad knowledge: Its foundational training allows for effective performance across diverse topics and information domains.