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DeepSeek-V2.5

Paid

Open-source text generation model with tool calling support

4.5
Inputs: textOutputs: text
Type
Saas
Company
DeepSeek (deepseek-ai)

About DeepSeek-V2.5

DeepSeek-V2.5 is an open-source text generation model developed by deepseek-ai, available on Hugging Face. It is built using the Transformers library and supports conversational AI, tool calling, and custom code integration. The model achieves a score of 65.83 on the MMLU-Pro benchmark, indicating strong performance across diverse reasoning tasks. It is compatible with Text Generation Inference and designed for flexible deployment, including endpoints. DeepSeek-V2.5 includes a specialized chat template for structured interactions involving tool outputs, making it suitable for agentic workflows.

Key Features

Text generation pipeline for conversational AI
Built with the Transformers library (safetensors)
Supports tool calling and structured assistant outputs via custom chat template
Compatible with Text Generation Inference (TGI) and endpoints
Achieves 65.83 on MMLU-Pro benchmark
Open-source with custom code support

Pros & Cons

Pros
  • Strong benchmark performance on MMLU-Pro (65.83)
  • Open-source and freely available on Hugging Face
  • Native support for tool calling and multi-turn conversations
  • Compatible with popular inference infrastructure (TGI)
  • Active community with frequent updates and downloads
Cons
  • Requires significant computational resources for inference and fine-tuning
  • Limited documentation on specific use cases or limitations
  • No explicit pricing or commercial support details on the model page

Best For

Building conversational chatbots and virtual assistantsTool-augmented language model applications (e.g., function calling)Text generation tasks requiring reasoning and knowledge (e.g., QA, summarization)Custom AI workflows with fine-tuning and inference deployment

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