DeepSeek-V2.5
Intelligence
12.3
#401/520
DeepSeek-V2.5 is an upgraded version that combines DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct, integrating general and coding abilities. It better aligns with human preferences and has been optimized in various aspects, including writing and instruction following.
DeepSeek-V2.5 is DeepSeek’s latest model designed for advanced data processing and analysis. It features an Intelligence Index of 12.3, making it suitable for professional users seeking efficient solutions in data-driven tasks.
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Frequently Asked Questions (15)
When was DeepSeek-V2.5 released?
DeepSeek-V2.5 was released on September 6, 2024.
Who created DeepSeek-V2.5?
DeepSeek-V2.5 was created by DeepSeek.
How intelligent is DeepSeek-V2.5?
DeepSeek-V2.5 scores 12 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 22).
How verbose is DeepSeek-V2.5?
When evaluated on the Intelligence Index, DeepSeek-V2.5 generated 0.0 output tokens, which is very competitive compared to other open weight non-reasoning models of similar size (median: 8.1M).
Is DeepSeek-V2.5 a reasoning model?
No, DeepSeek-V2.5 is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
What input modalities does DeepSeek-V2.5 support?
DeepSeek-V2.5 supports text only input.
What output modalities does DeepSeek-V2.5 support?
DeepSeek-V2.5 supports text only output.
Can DeepSeek-V2.5 process images?
No, DeepSeek-V2.5 does not support image input. It can only process text.
Is DeepSeek-V2.5 multimodal?
No, DeepSeek-V2.5 is not multimodal. It only supports text only input.
What is the context window of DeepSeek-V2.5?
DeepSeek-V2.5 has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Is DeepSeek-V2.5 open source?
Yes, DeepSeek-V2.5 is open weights. The model weights are publicly available and can be downloaded for self-hosting.
How many parameters does DeepSeek-V2.5 have?
DeepSeek-V2.5 has 236 billion parameters (21 billion active).
What are the active parameters of DeepSeek-V2.5?
DeepSeek-V2.5 is a Mixture of Experts (MoE) model with 236 billion total parameters, but only 21 billion active parameters are used during inference.
What is the license for DeepSeek-V2.5?
DeepSeek-V2.5 is released under the DEEPSEEK LICENSE AGREEMENT license. This license allows commercial use.
How does DeepSeek-V2.5 perform on benchmarks?
DeepSeek-V2.5 achieves a score of 12 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.