agurung/Qwen2.5-7B-Instruct-1M-NRL-NCP-GRPO-NLL-UNBOUNDED
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 15, 2025Architecture:Transformer Featherless Exclusive Cold
The agurung/Qwen2.5-7B-Instruct-1M-NRL-NCP-GRPO-NLL-UNBOUNDED model is a 7.6 billion parameter instruction-tuned language model based on the Qwen2.5 architecture. This model is designed for general-purpose conversational AI and instruction following tasks. Its primary use case is to serve as a foundational model for various natural language processing applications requiring robust understanding and generation capabilities.
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Overview
This model is a 7.6 billion parameter instruction-tuned language model, built upon the Qwen2.5 architecture. It is designed for general-purpose natural language understanding and generation, focusing on instruction following and conversational AI tasks.
Key Capabilities
- Instruction Following: Capable of understanding and executing a wide range of user instructions.
- Conversational AI: Suitable for developing chatbots and interactive agents.
- General-Purpose NLP: Can be adapted for various NLP tasks due to its foundational instruction-tuned nature.
Good for
- Developers seeking a robust base model for instruction-tuned applications.
- Building conversational agents and chatbots.
- Experimenting with large language models for diverse NLP challenges.