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deepseek v4 gguf

Open weights
Open LLM antirez Docs ↗
Model spec
Provider
antirez
Context window
-
Max output
-
Input price
-
Output price
-
License
See model card
Open weights
Yes

The deepseek v4 gguf model is an open-weight large language model released by independent developer antirez. As with many models in the Open LLM category, it provides researchers and developers with accessible base weights for text processing tasks, though without some key technical specifications documented in this listing.

Compared to proprietary alternatives, this model offers full weight accessibility for those prioritizing open development and customization. However, potential users should note that benchmarks and operational details aren’t provided in these structured facts.

This model will primarily interest developers experimenting with open-weight architectures or those needing a customizable base model. Organizations requiring guaranteed performance metrics or fully documented operational parameters may need to investigate further before adoption.

Modality

Text

Use cases

Text generationOpen-ended conversational AIPrompt-based question answeringGeneral text processingExperimentation with open-weight LLMs

Pros & cons

Pros

  • Open-weight model allows for customization and transparency
  • Part of the growing ecosystem of openly available LLMs
  • Hosted on Hugging Face Hub for easy access

Cons

  • Key specifications like context window and output limits are not documented here
  • No information provided about performance characteristics
  • Licensing details require checking the model card

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Read the official docs

deepseek v4 gguf

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