MyDearMoments/ATRI-Qwen2.5-7B
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 11, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
MyDearMoments/ATRI-Qwen2.5-7B is a 7.6 billion parameter language model based on the Qwen2.5-7B-Instruct architecture. Developed by MyDearMoments, this model is designed for general-purpose instruction following. It supports both Chinese and English languages, making it suitable for multilingual applications. The model features a substantial context length of 32768 tokens, enhancing its ability to process and generate longer texts.
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MyDearMoments/ATRI-Qwen2.5-7B Overview
MyDearMoments/ATRI-Qwen2.5-7B is an instruction-tuned language model built upon the Qwen2.5-7B-Instruct base architecture. This model, developed by MyDearMoments, features 7.6 billion parameters and is designed for robust performance across various natural language processing tasks.
Key Capabilities
- Multilingual Support: The model is proficient in both Chinese (zh) and English (en), enabling its use in diverse linguistic environments.
- Instruction Following: As an instruction-tuned model, it is optimized to understand and execute user commands effectively.
- Extended Context Window: With a context length of 32768 tokens, it can handle and generate longer, more complex textual inputs and outputs, which is beneficial for tasks requiring extensive context.
Good For
- General-purpose AI applications: Suitable for a wide range of tasks including text generation, summarization, question answering, and conversational AI.
- Multilingual deployments: Ideal for applications that need to operate in both Chinese and English-speaking contexts.
- Tasks requiring long context: Its large context window makes it particularly effective for processing lengthy documents, code, or complex dialogues where retaining extensive information is crucial.