distilled-ai/sft-qwen2.5-7b-it-dolphin_r1-cleaned_condensed_thinking-11-02-2025
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Feb 11, 2025Architecture:Transformer Cold
The distilled-ai/sft-qwen2.5-7b-it-dolphin_r1-cleaned_condensed_thinking-11-02-2025 is a 7.6 billion parameter language model based on the Qwen2.5 architecture. This model is an instruction-tuned variant, designed for general-purpose conversational AI and instruction following. Its primary use case is to serve as a foundational model for various natural language processing tasks requiring robust understanding and generation capabilities.
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Overview
This model, distilled-ai/sft-qwen2.5-7b-it-dolphin_r1-cleaned_condensed_thinking-11-02-2025, is a 7.6 billion parameter instruction-tuned language model built upon the Qwen2.5 architecture. It is designed to follow instructions effectively and engage in general conversational tasks.
Key Capabilities
- Instruction Following: Excels at understanding and executing user instructions.
- General-Purpose Language Generation: Capable of generating coherent and contextually relevant text for a wide array of prompts.
- Conversational AI: Suitable for chatbot applications and interactive dialogue systems.
Good for
- Developers seeking a robust 7B-class model for instruction-tuned applications.
- Building conversational agents and chatbots.
- Tasks requiring a model to follow specific commands or answer questions based on provided context.