Alibaba-NLP/ZeroSearch_google_v1_Qwen2.5_3B

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:May 7, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Alibaba-NLP/ZeroSearch_google_v1_Qwen2.5_3B is a 3.1 billion parameter language model developed by Alibaba-NLP, built on the Qwen2.5 architecture. This model is designed for general language understanding and generation tasks, featuring a substantial 32,768 token context window. It aims to provide robust performance for various applications requiring efficient processing of long sequences.

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Overview

Alibaba-NLP/ZeroSearch_google_v1_Qwen2.5_3B is a 3.1 billion parameter language model from Alibaba-NLP, leveraging the Qwen2.5 architecture. It is characterized by its significant 32,768 token context length, enabling it to process and generate responses based on extensive input. This model is intended for a broad range of natural language processing tasks.

Key Capabilities

  • General Language Understanding: Capable of comprehending diverse textual inputs.
  • Text Generation: Can produce coherent and contextually relevant text.
  • Extended Context Window: Supports processing of long documents and conversations due to its 32,768 token context length.

Good For

  • Applications requiring the analysis of lengthy texts.
  • Tasks involving detailed question answering or summarization from large documents.
  • General-purpose language generation where a balance of model size and context handling is beneficial.

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